69410 Patterns of Foreign Direct Investment Flows and Trade-Investment Inter-Linkages in Southern Africa: Linking Middle-Income and Low-Income Neighbors May 2010 The World Bank Africa Region This note was prepared by Gozde Isik and Yutaka Yoshino for the Southern African Middle-income Country Growth Spillover Study. The note builds on earlier technical work led by Gozde Isik for the Southern Africa Trade and Integration Study. The authors appreciate valuable comments and guidance received from Harry Broadman, Ritva Reinikka, Ian Gillson, and Paul Brenton on the earlier work. Maiko Miyake and Nora Dihel served as peer reviewers of the note. Zeinab Partow, Ana Margarida Fernandes, and Tom Farole also provided useful comments. The authors also thank Shanta Devarajan for his supervision and the guidance in implementing the study. 1. INTRODUCTION ..............................................................................................................................................2 2. INTRAREGIONAL TRADE IN SOUTHERN AFRICA: SOME STYLIZED FACTS ..............................4 INTRA-SASR TRADE: LARGE FOR AFRICA BUT STILL SMALL FOR THE SUBREGION .............................................. 4 GROWING TRADE BETWEEN MIDDLE-INCOME AND LOW-INCOME COUNTRIES IN THE SUBREGION ....................... 6 3. PATTERNS OF FOREIGN DIRECT INVESTMENT FLOW IN SOUTHERN AFRICAN .....................9 SOUTHERN AFRICA AS THE CORE DESTINATION OF GLOBAL FDI TO SUB-SAHARAN AFRICA ............................... 9 INCREASINGLY DIVERSIFIED................................................................................................................................ 11 INTRA-SUBREGIONAL FDI IN SOUTHERN AFRICA ................................................................................................ 11 4. TRADE–INVESTMENT INTER-LINKAGES IN SOUTHERN AFRICA: SOME MICRO EVIDENCE 16 PRODUCTIVITY AND TRADE-INVESTMENT LINKAGES AMONG FIRMS IN AFRICA: CASE OF MANUFACTURING INDUSTRIES ......................................................................................................................................................... 16 SUBREGIONAL TRADE–FDI LINKAGE IN SOUTHERN AFRICA: FINDINGS FROM ORIGINAL ENTERPRISE DATA FROM THE CASE STUDIES .............................................................................................................................................. 21 5. DOMESTIC POLICIES TO ENHANCE GREATER TRADE AND INVESTMENT INTEGRATION 29 IMPROVING BUSINESS ENVIRONMENT AT SUBREGIONAL LEVEL TO CREATE LEVEL PLAYING FIELD TO FOSTER CROSS-BORDER INVESTMENTS ............................................................................................................................ 29 POLICIES TO SUPPORT GREATER REGIONAL CROSS-BORDER TRADE .................................................................. 33 6. SUMMARY AND CONCLUSION ................................................................................................................. 36 REFERENCES .......................................................................................................................................................... 40 ANNEX ....................................................................................................................................................................... 42 1 1. INTRODUCTION 1.1 The subregion of Southern Africa weighs heavily in the aggregate economic activities of Sub-Saharan Africa (SSA), largely resulting from the large-scale economy of South Africa. The 15 members of the Southern African Development Community (SADC) contribute more than half (55 percent) of the aggregate GDP of SSA and, similarly, 55 percent of total international trade of SSA, when both exports and imports and both merchandise and services trade are combined.1 These countries produce 80 percent of total manufactured value- added and 70 percent of total services value-added of the continent. South Africa, unarguably, is the single most dominant economy, producing 68 percent of total gross income in the subregion; the next largest subregion economy, Angola, is a distant second, contributing only 8 percent. 1.2 The countries in the subregion are diversified economically as well as geographically, comprising several middle-income countries (MICs) surrounded by low- income countries (LICs). The six MICs in the subregion—South Africa, Mauritius, and the BLNS countries (Botswana, Lesotho, Namibia, and Swaziland)—are surrounded by several LICs such as Angola, Madagascar, Malawi, Mozambique, and Zambia. Economic integration through the SADC goes further north to Tanzania and the Democratic Republic of Congo (DRC), both of which are often identified as members of other subregional groups, namely, Eastern Africa and Central Africa, respectively. A few countries including Angola, Botswana, DRC, Mozambique, South Africa, Tanzania, and Zambia are rich in natural resources. The subregion’s countries are also quite varied geographically, with a few landlocked countries (Botswana, Lesotho, Malawi, Swaziland, Zambia, and Zimbabwe) and several remote island nations in the Indian Ocean (Mauritius, Madagascar, and Seychelles). 1.3 With the dominance of South Africa in the subregion economy, an obvious question is how South Africa and, more broadly, the middle-income countries in the subregion, contribute to economic integration of the subregion particularly the low income countries which surround them. History has contributed to the way economies are integrated in Southern Africa, including the legacy of the colonial economic system as well as the previous economic relationship South Africa built with its adjacent neighbors during apartheid. The role of economic linkages between Southern African MICs and LICs in deepening regional integration has not been analyzed extensively to date. 1.4 While overall economic integration in Southern Africa is still limited, there is an increasing volume of trade between MICs and LICs and increasingly diversified cross- border investment in the subregion in recent years. While trade within Southern Africa is a large pie of total intra-Africa trade, it is only a small pie in individual Southern African countries’ total trade. However, as shown in the next section, intraregional trade within Southern Africa is growing faster now than a decade ago, largely driven by trade between MICs and LICs in the subregion. While mineral resource products are key exports from LICs to MICs, there is an increasing volume of manufactured exports from MICs to LICs in machinery and equipments 1 SADC members are Angola, Botswana, Democratic Republic of Congo (DRC), Lesotho, Madagascar, Malawi, Mauritius, Mozambique, Namibia, the Seychelles, South Africa, Swaziland, Tanzania, Zambia, and Zimbabwe. 2 partly supporting resource industries. South Africa and Mauritius are dominant sources of regional cross-border investments in the subregion, providing not only investments in natural resource extractive sectors but also in services. 1.5 The question is whether and how intraregional trade and investment are inter- linked at the subregional level. In today’s globalized economy, production processes are increasingly fragmented geographically. Firms engaging in trade of intermediate goods or services through FDI have been a catalyst in this transformation. Exploiting the complementarities between FDI and trade, they have created international production and distribution networks spanning the globe and actively interacting with each other. Having middle income economies actively participated in the global markets such as South Africa and Mauritius, it is quite likely that such transformation takes place through their intraregional cross- border investments. While difficult to observe at aggregate levels, firm-level data may provide some answers to the question how mechanisms 1.6 This note will present the stylized facts on the patterns of cross-border trade and foreign direct investment (FDI) in Southern Africa using aggregate data and analyze how FDI is linked with cross-border trade within the subregion in driving regional integration at the micro level using enterprise-level data. It will discuss how cross-border investment flows create a possible channel of growth spillover from South Africa and other MICs to LICs in the subregion and identify the roles of subregional trade and investment flows in generating these neighborhood effects with LICs. In particular, it seeks to provide some evidence to support. 1.7 This note is organized as follows. The next section provides a set of stylized facts on the patterns of trade in Southern African countries to illustrate how much (or little) Southern African subregion is integrated today and whether or not intraregional trade is growing. This will set a stage for the discussion on foreign direct investment. Section 3 presents aggregate trends in foreign direct investment flows (and stocks) in SSA, discusses how SASR is situated in such trends, and analyzes the emerging trends of intra-SASR cross-border investments, largely driven by South Africa. The patterns of FDI flows are compared with those of trade in goods, both in terms of sectoral and geographical diversification. Section 4 analyzes trade-investment linkages in Southern Africa at the firm level. Using the enterprise data collected from the World Bank Enterprise Surveys, the productivity and export orientation of firms in Southern Africa are analyzed and compared between domestically owned and foreign-owned firms operating in the subregion. This section also includes analysis of original firm-level quantitative data collected for this study in eight Southern African countries to examine in more detail the origins of foreign owners as well as the destinations of exports. These data show how cross-border investments within Southern Africa are associated with cross-border trade in goods and how such trade- investment linkages are facilitated in some corporate group structures. Section 5 discusses areas of domestic policies in enhancing trade and foreign direct investment in Southern Africa. Section 6 summarizes the findings from this analysis and discusses their policy implications. 3 2. INTRAREGIONAL TRADE IN SOUTHERN AFRICA: SOME STYLIZED FACTS As a prior to the discussion on foreign direct investment and its linkage with trade, this section will review a set of stylized facts about the geographical orientations of trade in Southern African countries and see how Southern Africa has been integrated through trade. INTRA-SASR TRADE: LARGE FOR AFRICA BUT STILL SMALL FOR THE SUBREGION 2.1 Southern Africa is at the center of regional trade within Sub-Saharan Africa, with more than a half of trade within SSA includes countries in Southern Africa subregion (SASR) either as exporters or imports or both, with a lion’s share coming from trade within SASR.2 Figure 2.1 shows the composition of all trade in goods among SSA countries, 42 percent of which takes place among SASR countries. Together with trade between SASR and non-SASR countries in Africa, more than a half of trade within SSA involves SASR countries either as exporters or importers or both. Figure 2.1: Composition of Intra-Sub-Saharan Africa Trade, 2006–08 Trade within SASR 42% 48% Trade between SASR and Other SSA Countries Trade among Other SSA Countries outside of SASR 10% Source: IMF Direction of Trade Statistics Note: 2006–2008 average 2.2 Despite the large share of intra-SASR trade in the total intra-African trade, the subregion is not much integrated from the point of view of individual SASR countries which are trading mostly with the countries outside of Africa. Except for the case of imports by SASR countries excluding South Africa, trade within the subregion is not yet as significant as trade with non-African countries. The vast majority of trade by countries in Southern Africa is 2 Throughout the note, the word Southern Africa or Southern Africa subregion (SASR) is used interchangeably with SADC countries. 4 with countries outside Africa (figure 2.2). Given the rich mineral endowments in the subregion, this is not a puzzling pattern. Strong demand for mineral resources, such as oil, coal, and copper, exists largely in other regions in the world. An increase in manufactured goods imports from China and India in recent years also contributes to the large volume of extra-regional trade. Countries other than South Africa do have a solid share of imports originating within the subregion, mostly from South Africa. A quarter of their imports come from other countries within the subregion. Figure 2.2: Composition of Exports and Imports by SASR Countries by Destination and Origin, 2006–08 Exports by SADC Countries Imports by SADC Countries 10% 10% 2% 2% To Other SADC Countries From Other SADC Countries To Other SSA Countries From Other SSA Countries Ouside SADC Ouside SADC To Countries Outside SSA From Countries Outside SSA 88% 88% Exports by SADC Countries Imports by SADC Countries Excluding South Africa Excluding South Africa 9% 1% 22% To Other SADC Countries From Other SADC Countries To Other SSA Countries 3% From Other SSA Countries Ouside SADC Ouside SADC To Countries Outside SSA From Countries Outside SSA 76% 91% Source: IMF Direction of Trade Statistics Note: 2006–2008 average 2.3 Comparing intraregional trade within SADC countries with the cases of intraregional trade within countries of other regional economic communities (RECs), SADC is not necessarily more integrated than other RECs in terms of trade. As shown in figure 2.3, East African Community (EAC) countries have more intraregional share in their exports.3 Total 18 percent of their exports are intra-REC exports. Note that those do not even include exports to their adjacent Eastern African economies such as Ethiopia and Sudan who are not the members of EAC. As far as the destination-origin composition of trade is concerned, SADC countries are more integrated than Economic Community of Central African States (CEMAC) but not so different from countries in Economic Community of Western African 3 The members of EAC are Burundi, Kenya, Rwanda, Tanzania, and Uganda. 5 States (ECOWAS) in terms of integration by trade.4 Despite the large share of intra-SASR trade in the total intra-African trade, the subregion is not as much integrated as one would expect if looked from individual SASR countries. Figure 2.3: Composition of Exports and Imports by Countries in Other Regional Economic Communities by Destination and Origin, 2006–08 Exports by EAC Countries Imports by EAC Countries 7% 18% 8% To Other EAC Countries From Other EAC Countries To Other SSA Countries From Other SSA Countries 14% Ouside EAC Ouside EAC To Countries Outside SSA From Countries Outside SSA 68% 85% Exports by ECOWAS Countries Imports by ECOWAS Countries 8% 9% 4% 2% To Other EAC Countries From Other ECOWAS Countries To Other SSA Countries From Other SSA Countries Ouside EAC Ouside ECOWAS To Countries Outside SSA From Countries Outside SSA 88% 89% Source: IMF Direction of Trade Statistics Note: 2006–2008 average GROWING TRADE BETWEEN MIDDLE-INCOME AND LOW-INCOME COUNTRIES IN THE SUBREGION 2.4 While limited so far, intra-SASR trade is growing faster than a decade ago. Intra- SASR trade has also grown by 14 percent annually over the last 10 years. The growth has happened primarily in the last five years. While intra-SASR trade grew only by 7 percent for exports and 4 percent for imports during 1998 and 2003, it has grown 22 percent for exports and 27 percent for imports during the five years (figure 2.4). Figure 2.4: Compound Annual Growth Rate of Exports and Imports of SASR Countries by Destination and Origin, 1998–2008 4 The member of CEMAC are Angola, Burundi, Cameroon, Central African Republic, Chad, Democratic Republic of Congo, Equatorial Guinea, Gabon, Republic of Congo, Rwanda, and Sao Tome and Principe. The members of ECOWAS are Benin, Burkina Faso, Cape Verde, Cote d’Ivoire, Gambia, Ghana, Guinea-Bissau, Liberia, Mali, Nigeria, Senegal, Sierra Leone, and Togo. Guinea and Niger have been suspended from ECOWAS due to domestic political instability, Guinea and Niger, but are included for the analysis. 6 Compound Annual Growth Rate of SASR Exports by Compound Annual Growth Rate of SASR Imports by Destination Origin 25% 22% 22% 35% 29% 19% 30% 27% 20% 23% 25% 15% 13% 20% 15% 10% 7% 7% 15% 10% 5% 5% 4% 5% 0% 0% To Other SASR Countries To Other SSA Countries To Countries Outside SSA From Other SASR From Other SSA From Countries Outside Ouside SASR Countries Countries Ouside SASR SSA Growth Rate: 1998-2003 Growth Rate: 2003-2008 Growth Rate: 1998-2003 Growth Rate: 2003-2008 Source: IMF Direction of Trade Statistics 2.5 The majority of the intra-SASR trade is bilateral trade between South Africa and other countries, particularly LICs in the subregion. Table 2.1 shows the distribution of intra- SASR merchandise trade by origin and by destination. Approximately 33 percent and 27 percent of total intra-SASR trade come from exports from South Africa or imports by South Africa. This means that roughly 60 percent of total intra-SASR trade involves South Africa. For almost all the other SASR countries, South Africa is the leading subregional exporter and importer simultaneously. Table 2.1: Distribution of Intra-SASR Trade by Origin and Destination Destination AGO BWA ZAR LSO MDG MWI MUS MOZ NAM ZAF SWZ TZA ZMB ZWE AGO 0.03% 3.27% BWA 0.02% 0.02% 0.02% 0.11% 3.53% 0.13% 2.00% ZAR 0.06% 0.24% 0.45% LSO 0.04% 0.01% MDG 0.19% 0.03% MWI 0.02% 0.02% 0.16% 1.09% 0.05% 0.10% 0.14% Origin MUS 0.01% 0.85% 0.02% 0.33% 0.03% 0.02% MOZ 0.01% 0.43% 2.57% 0.06% 0.03% 0.02% 0.43% NAM 2.14% 0.14% 0.24% 0.16% 7.82% 0.10% 0.05% ZAF 6.06% 2.01% 3.00% 0.87% 2.64% 3.15% 9.50% 0.93% 4.10% 9.67% 11.15% SWZ 0.12% 0.06% 0.08% 0.16% 0.06% 0.20% 0.05% 0.05% TZA 0.02% 0.02% 0.16% 0.01% 0.14% 0.07% 2.28% 0.02% 0.11% 0.01% ZMB 0.18% 1.19% 0.03% 0.59% 0.02% 0.01% 0.11% 4.00% 0.81% 0.77% ZWE 0.02% 0.41% 0.10% 0.02% 0.39% 0.02% 0.31% 0.14% 6.03% 0.04% 0.79% Source: UN COMTRADE Note: % figures represent shares in the total intra-SASR trade (exports and imports). The darker the blue background, the larger the relative size relative size in the distribution. 2.6 Trade between MICs and LICs in the subregion is growing rapidly in the last five years, contributing to the recent growth of subregional trade. Figure 2.5 shows rapid growth of exports from Southern Africa MICs and Southern Africa LICs as well as exports from Southern Africa LICs to Southern Africa MICs. Figure 2.5: Composition of Exports and Imports by Countries in Other Regional Economic Communities by Destination and Origin, 2006–08 7 10,000 9,000 8,000 7,000 US$ Billion 6,000 From MICs to MICs 5,000 From MICs to LICs 4,000 From LICs to MICs 3,000 From LICs to LICs 2,000 1,000 0 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 Source: IMF Direction of Trade Statistics 2.7 For merchandise trade, manufacturing trade is the dominant leader of growing intra-SASR exports from MICs to LICs over the last five years, while fuels and mineral resources, including electricity, dominate intra-SASR exports from LICs to MICs in the recent years. More than a half (54 percent) of the current South African exports to its neighboring LICs comes from manufactured products (figure 2.6). Principal manufactured products among those exported by South Africa are vehicles for transporting products and for mining as well as construction materials such as iron sheets. Fuel exports from Angola to South Africa starting from 2007 accounts for the large jump in fuel exports from LICs to MICs. Electricity exports from Mozambique to South Africa in the same period also contributed to the large jump. Interestingly, there is also a fast growth in machinery and transport equipment for LICs exports to MICs. The detail data show that Zambian exports of wires for electricity distribution to South Africa contribute to this growth. Figure 2.6: Composition of Exports and Imports by Countries in Other Regional Economic Communities by Destination and Origin, 2006–08 SASR MICs Exports to SASR LICs: 2006-2008 Av. SASR LICs Exports to SASR MICs: 2006-2008 Av. Fuels 5% 11% 4% Fuels 3% 24% Ores & Metals 1% 6% Ores & Metals 6% 1% Agricultural Raw Agricultural Raw Materials 3% Materials Food Food 13% 2% Chemicals 53% Chemicals Machinery & Transport Machinery & Transport Equipment Equipment Textiles 25% Textiles 15% 28% Other manufactures Other manufactures SASR MICs Exports to SASR LICs Fuels SASR LICs Exports to SASR MICs Fuels (Right Axis) 3000 250 3500 Ores & Metals Ores & Metals (Right 3000 Axis) 2500 200 Agricultural Raw Agricultural Raw Materials 2500 Materials 2000 US$ Million US$ Million Food 150 Food US$ Million 2000 1500 Chemicals 100 1500 Chemicals 1000 1000 Machinery & Transport Machinery & Transport Equipment 50 Equipment 500 500 Textiles Textiles 0 0 0 Other manufactures Other manufactures 2003 2004 2005 2006 2007 2008 8 Source: UN COMTRADE 2.8 Trade in services is a potential source of diversification in the subregion, but it is largely untapped except for South Africa and Mauritius. In 2008, South Africa’s exports in services amounted to US$ 12.5 billion, which was about 17 percent of total merchandise exports in the same year. On the other hand, Zambia’s total exports in service in 2008 were about 6 percent of total merchandise exports. While the lack of bilateral trade data in services does not allow us to present the size of the intra-SASR trade in services, country-specific experiences of trade in services in the subregion hints the potentially significant role services play in generating more intra-subregional trade in Southern Africa. South Africa and Mauritius are leading exporters of transportation, financial, and communication services. South Africa, Mauritius, Madagascar, Mozambique, and Tanzania are increasingly strong in tourism exports to the subregion. For example, in Mozambique, the number of tourists has risen by 40% since 2002, many from South Africa due to the visa exemption that South African tourism can enjoy. The authorities report rising revenues, from US$64 million in 2002 to US$157 million in 2007.Being a landlocked countries, Zambia imports services, largely of insurance, and freight and transport mostly from South Africa. 3. PATTERNS OF FOREIGN DIRECT INVESTMENT FLOW IN SOUTHERN AFRICAN Subregional integration in trade is limited but slowly growing between middle income and low income countries in the area of mineral resources and supporting manufactured products as well as infrastructure (power), what are the current patterns of foreign direct investment within the subregion? SOUTHERN AFRICA AS THE CORE DESTINATION OF GLOBAL FDI TO SUB-SAHARAN AFRICA 3.1 Foreign direct investment (FDI) to Sub-Saharan Africa (SSA) reached a historic high of approximately US$88 billion in 2008. This followed a steady increase in inflows over the preceding two decades, rising most dramatically between 2004 and 2008 and almost quadrupling over the period. But despite this increase, FDI inflows to SSA remain below those for most other regions with the exception of South Asia. On the other hand, outflows of FDI from SSA have been more volatile, even turning negative in 2001 as the region felt the impact of the Asian financial crisis. In 2008, due to a sharp fall in outward flows from South Africa, FDI outflows from SSA fell dramatically to US$674 million from around US$5 billion the previous year. The impact of the global economic slowdown and the credit crunch are being felt in SSA, and are currently expected to dampen the growth prospect for FDI inflows in the coming years (UNCTAD, 2009b). 3.2 Developed countries have traditionally been the primary source of inward FDI to SSA, while South-South investment, both inter- and intraregional, has become increasingly important. Most of inward FDI originates in a small number of European countries. Japan and 9 the United States are also significant investors in some SSA countries.5 South-South investment, both between SSA countries and other regions, or within SSA, has also been playing an increasingly important part in increasing FDI flows to SSA. Firms from developing countries, such as Algeria, China, India, Indonesia, and the leading regional player, South Africa, have all been increasingly investing in SSA (UNCTAD 2008b). 3.3 For most of the decade, Southern Africa Sub-Region (SASR) has been the leading destination of inward FDI to SSA among its four sub-regional groups (East, South, Central, West). For almost a decade, until 2005, SASR’s share of FDI inflows was the highest in SSA, reaching almost US$10 billion at its peak in 2001 (figures 3.1 and 3.2). Consequently, SASR’s total stock of inward FDI was twice that of the other three subregions combined. It was surpassed by Western Africa in 2006, which received significant amount of investments related to oil. In 2008, however, Southern Africa regained its spot as the leading destination of inward FDI flows. 6 3.4 In terms of outward FDI from SSA, SASR continues to be the leading source of FDI within Africa in terms of stock. Recent trends in outflow of FDI show that, in the most part of the last five years, SASR has provided the greatest amount of outward investment in the region, followed by West Africa. The stock of SASR’s outward FDI is also significantly larger compared to the rest of Africa. As of the end of 2008, the value of SASR’s outward FDI stock was five times larger than that of the other three subregions combined (figures 3.3 and 3.4). Figure 3.1: FDI Inflows to Sub-Saharan Africa by Figure 3.2: FDI Inward Stock in Sub-Saharan Africa Destination Subregion, 1980–2007 by Destination Subregion, 1980–2007 Source: UNCTAD FDI/TNC Database Source: UNCTAD FDI/TNC Database Figure 3.3: FDI Outflows from Sub-Saharan Africa Figure 3.4: FDI Outward Stock in Sub-Saharan by Origin Subregion, 1980–2007 Africa by Origin Subregion, 1980–2007 5 For example, in 2003, the UK’s total FDI stock in the region was US$30 billion, followed by the United States, Germany, and France with US$19 billion, US$5.5 billion, and US$4.4 billion, respectively (UNCTAD 2008a). 6 West Africa (Benin, Burkina Faso, Cape Verde, Cote d’Ivoire, Gambia, Ghana, Guinea, Guinea Bissau, Liberia, Mali, Mauritania, Niger, Nigeria, Senegal, Togo), East Africa (Sudan, Eritrea, Ethiopia, Kenya, Seychelles, Somalia, Uganda) and Central Africa (Burundi, Cameroon, Central African Republic, Chad, DRC, Congo Rep, Equatorial Guinea, Gabon, Rwanda, Sao Tome and Principe). 10 Source: UNCTAD FDI/TNC Database Source: UNCTAD FDI/TNC Database 3.5 Among SASR countries, Angola and South Africa accounts for the majority of aggregate inward FDI flows and stocks. Angola received the highest amount of inward FDI flows reaching over $15 billion in 2008, owing mainly to investments in natural resources. South Africa has received the second highest amount of FDI inflows and but accumulated more FDI stocks than any other country in the sub-region. In 2008, South Africa received a total of US$9 billion in FDI inflows and itself invested (outflows) over US$6 billion abroad.7 In the same year, the total accumulation of FDI stocks in South Africa reached almost US$111.3 billion, whereas its total stock of outward FDI reached US$62.2 billion (table x.1).8 The only Southern African country to report negative FDI inflows in 2008 was Botswana, which also experienced a significant reduction in FDI stocks in the same year. In terms of outward flows, Angola recorded the highest amount of outward FDI flows among countries in the region in 2008, investing around US$2.5 billion abroad. 3.6 A number of SASR countries are dependent on FDI for their national output. Lesotho, Mauritius, Mozambique, Namibia, and Zambia have the highest ratios of inward FDI stock to GDP in Southern Africa, with shares of 40 percent or higher. Zimbabwe records both the highest level of inward and outward FDI stocks as a share of GDP. In 2007, Zimbabwe’s inward FDI stock was equivalent to almost 200 percent of its GDP, whereas its outward FDI stock was 32 percent of GDP. However these large shares are not indicative of increasing foreign investment in Zimbabwe, but rather they reflect the country’s rapid economic deterioration that has resulted in sharp declines in both income and growth. INCREASINGLY DIVERSIFIED INTRA-SUBREGIONAL FDI IN SOUTHERN AFRICA 3.7 Intra-subregional FDI within SASR is largely driven by investments from South Africa and to a lesser extent from Mauritius, in the rest of the SASR countries, which have grown dramatically in recent years. South Africa’s stock of FDI in other SASR countries grew from US$1.1 billion to almost US$3 billion (equivalent to 6 percent of South Africa’s total outward stock) from 2001 to 2006. Large-scale privatization projects in these countries’ telecommunications sectors and extractive industries, as well as investments in physical 7 The combined FDI inflows to other 13 SASR countries in 2007 were equivalent to just 70 percent of those to South Africa. 8 FDI inflows to SASR reached US$9 billion in 2007, most of which were attributed to an increase in FDI from China that year; the Standard Bank Group of South Africa sold a 20 percent stake, worth over US$5 billion to the state-controlled Industrial and Commercial Bank of China (UNCTAD, 2008). 11 infrastructure and retail, have been the driving force behind this increase.9 Mauritius, another MIC, is also an active investor in the subregion. However, the volume of intra-SASR investment flows from Mauritius is much smaller (US$21 million in 2007) compared to South Africa. 3.8 South Africa’s outward intra-SASR FDI is still small relative to its total global outward FDI, but the share is steadily increasing in recent years. As shown in figure 3.5, a lion’s share of South Africa’s total outward FDI stock exists outside of Africa. However, the share of intra-subregional FDI is increasingly steadily since 2002 from merely 6 percent in 2002 to 12 percent in 2008. 10 The largest recipient of outward South African investment has been Mauritius. From 2001 to 2006, South Africa’s stock of outward FDI in Mauritius rose from US$580 million to over US$1.3 billion. Other leading intra-subregional destinations for South African outward FDI in 2006 were Botswana, Mozambique, and Zimbabwe, which have all doubled their South Africa’s FDI stock in their countries (figure 3.6). 3.9 On the other hand, outward Mauritian FDI is primarily destined to other Southern African countries, but the share is decreasing in recent years. Historically, a lion’s share of outward FDI from Mauritius in terms of flows have gone to other countries in Southern Africa (figure 3.7). Large destinations in the subregion are Madagascar, Mozambique, South Africa, and Seychelles. The share is shrinking recently due to increase shares of flows going to Europe as well as other Indian Ocean economies such as India and Maldives. Figure 3.5: Distribution of South Africa’s Outward FDI Figure 3.6: South Africa’s Outward FDI Stock in Stock by Destination, 2002-2008 SASR, 2001 and 2006 100% 90% Non-African Countries 80% 70% 60% Other Africa Countries 50% (incl. Angola, DRC, 40% Tanzania, Madagascar) 30% 20% Southern Africa (BLNS, 10% Zimbabwe, Mauritius, 4% 9% 10% 1% 3% Mozambique, Zambia 0% 3% 12% 10% 12% 6% 8% 7% 5% 0% only) 2002 2003 2004 2005 2006 2007 2008 Source: South Africa Reserve Bank and Bank of Malawi Source: South Africa Reserve Bank and UNCTAD FDI/TNC Database Figure 3.7: Distribution of Mauritius’s Outward FDI Flow by Destination, 2002-2008 9 Large South African firms such as MTN, Vodacom, and the state-owned Sasol and Eskom, in particular, have been expanding their investments into other countries within the region (see appendix table A.1). 10 Due to the format of presentation in the quarterly statistical bulletin by South Africa Reserve Bank, intra- subregional FDI only includes FDI to BLNS countries, Zimbabwe, Mauritius, Mozambique, and Zambia. Other SADC countries such as Angola, DRC, Tanzania, and Madagascar are a part of “Other African Countries.� 12 100% 1% 90% 4% 80% Non-African Countries 70% 9% 60% 5% 50% 99% 31% Other African Countries 86% 3% 40% 67% 10% 30% 55% Mozambique , 20% 42% Madagascar, Seychelles, 34% 27% and South Africa 10% 0% 2002 2003 2004 2005 2006 2007 2008 Source: Bank of Mauritius Monthly Statistical Bulletin 3.10 Intra-SASR investment from South Africa accounts for a significant share of inward FDI stocks in a number of countries in the subregion. Table x.x shows the share of FDI stock in the individual host countries in Southern Africa that originates in South Africa as well as their relative size to GDP in those countries. In Malawi, 21.6 percent of the total FDI stock in the country is from South Africa. Following Mozambique, Botswana, and Zimbabwe, For some countries in the subregion, FDI from South Africa also has significant shares of their GDP (table 3.1). 3.11 South Africa is also one of the leading destinations for outward FDI within SASR, receiving investments from countries such as Mauritius and Zimbabwe, although the volume of such investments is still very small compared to FDI flows to South Africa from countries outside of SASR. South Africa’s inward stock of FDI from Zimbabwe increased from just over US$250 million in 2001 to US$325 million in 2006, whereas inward stock originating from Mauritius reached US$208 million in 2006. There are also smaller flows from other Southern African countries, such as from Namibia and Lesotho. Inward stocks of FDI from Southern Africa, in comparison to South Africa’s total stocks of FDI, are, however, relatively insignificant. For instance, Zimbabwe (South Africa’s largest Southern African source country for FDI) accounts for just 0.4 percent of the total stock of FDI in South Africa. Table 3.1: Stock of South African FDI in SASR Countries as % of GDP and of Total Inward FDI Stock Middle-Income Countries % of GDP % of Total Inward FDI Stock Botswana 1.1 12.9 Lesotho 2.3 5.8 Namibia 1.8 4.5 Swaziland 4.2 15.5 Low-Income Countries Madagascar 0 0.0 Malawi 3.7 21.6 Mozambique 11.3 16.0 Tanzania 1.6 3.8 Zambia 0.5 1.6 Fragile Countries DRC 1.4 11.0 Zimbabwe 3.2 12.6 Oil Exporter Angola 0 0.1 13 Source: Burgess (2009) based on data from South African Reserve Bank, IMF World Economic Outlook, and UNCTAD FDI/TNC Database. 3.12 While FDI flow in SASR is largely centered in South Africa, linking the country with other countries in SASR, destinations of South Africa’s outward FDI are increasingly diversified to economies that are geographically more distant from South Africa, expanding the concentric circle of its regional outward FDI. Although South African outward FDI was once concentrated in relatively politically stable neighboring countries like Botswana, Lesotho, and Mozambique, more recently it has been expanding into higher risk and more distant markets like DRC and Angola, often attracted by lower wage costs and small (but numerous and evidently profitable) domestic markets, as well as by access to natural resources. South Africa’s outward FDI stock in SSA countries outside of SASR is also increasing more rapidly than inside SASR since 2005. The key geographical patterns of intra-SASR FDI—South Africa being central with an expanding concentric circle emanating from it—resemble similar patterns observed in intra-SASR trade in goods, where South Africa is the leading exporter as well as importer of intra-SASR trade while there is growing trade between SASR and non-SASR SSA countries. 3.13 In terms of sectors, intra-SASR investments originating from South Africa have been largely concentrated in primary and extractive industries, but have been increasingly diversified, the service sector becoming a major sector. Outward South African FDI is widely distributed across sectors in SASR, although historically there has been some concentration in primary and extractive industries together with the services sector, particularly in telecommunications and finance. While the sectoral composition of intra-regional flow of FDI in the subregion varies greatly by country, the general characteristics can be summarized as follows. (Annex Boxes 1 and 2 present more detailed information on the sectoral characteristics of intra-SASR FDI flows.)  Investment flows from South Africa to Mauritius, between two middle-income countries (MICs) in the subregion, are largely in the services sector, mostly financial services related to Mauritius’s offshore banking sector. South Africa’s investments in Mauritius also include tourism (hotels and restaurants), wholesale and retail, and, increasingly, information and communication technologies (ICT).  Investment flows from South Africa to Southern Africa LICs are more diversified, including mining, agriculture (agribusiness), manufacturing, and services. Mining and minerals is the leading type of investment in mineral rich countries such as Mozambique, Tanzania, and Zambia.  Investment flows from Mauritius to Southern Africa LICs range from services (communication, transport, tourism) to agriculture (for example, sugar-related agribusiness) and manufacturing (textiles and apparel). While services, primarily tourism, are the dominant sector of outward intra-SASR FDI from Mauritius, the structural shift of the domestic economy in Mauritius from manufacturing to services drives outward flows in manufacturing sectors (for example, textiles and apparel in Madagascar). 14 15 4. TRADE–INVESTMENT INTER-LINKAGES IN SOUTHERN AFRICA: SOME MICRO EVIDENCE Intraregional trade and investment in Southern Africa are both limited in scale but slowly growing, connecting South Africa and other middle income countries with low income countries in the subregion. How are those two channels of cross-border commerce connected? What mechanism links the two in the context of Southern Africa? What do enterprise data tell us? PRODUCTIVITY AND TRADE-INVESTMENT LINKAGES AMONG FIRMS IN AFRICA: CASE OF MANUFACTURING INDUSTRIES 4.1 Besides location-specific factors such as endowed natural resources, local productivity level is one of the key determinants of foreign investment flows. Using the World Bank Enterprise Surveys (WBES) conducted in a number of Sub-Saharan African (SSA) countries, this section will first analyze how firms in the Southern Africa subregion (SASR) (or, interchangeably, in SADC countries) perform compared to firms in other Sub-Saharan African countries and how foreign-owned firms operating in SASR perform differently from those that are domestically owned. Note that the data set covers only manufacturing enterprises and do not include services and mining. 4.2 Firms in the Southern Africa subregion (SASR), particularly those in middle- income countries (MICs) in the subregion, are on average more productive than firms in other subregions in Africa. Based on WBES data sets of individual African countries, figure 4.1 shows the coefficients associated with the country fix effect in regressing labor productivity (value-added per worker), controlling for industries and capital intensity. This country premium on labor productivity is higher among MICs than LICs in Southern Africa. Figure 4.1: Country Premium on Labor Productivity in Sub-Saharan Africa 8 6 4 2 0 -2 -4 -6 -8 -10 16 Source: Authors’ estimation based on World Bank Enterprise Survey data (manufacturing sectors only) Note: Based on estimated coefficient for foreign ownership dummy variable in regressing value-added per worker (in log) on foreign ownership dummy, capital per worker, and industry fix effects for individual country samples. The value-added per worker is measured as value-added (total annual revenue minus the costs of raw materials, intermediary inputs, and energy costs in the year) divided by the total number of all workers involved in production (including seasonal workers). For the purpose of cross-country comparison, the figure is then adjusted to the 2005 price level and converted to US dollars based on the 2005 average market exchange rate. 4.3 Foreign-owned firms are generally more productive than domestically owned firms in SASR, as well as elsewhere in SSA. Similarly to the country premium, the size of “foreign premium� of productivity is also estimated by a similar model. This measure how much foreign- owned enterprises are more productive than domestic enterprises in each country, controlling for industries and capital intensity. In most countries in SASR, foreign-owned enterprises are more productive (figure 4.2). For those that the difference is statistically significant (dark blue), foreign-owned enterprises are more than 50 percent more productive. There are many ways to explain the high productivity level for foreign firms in Africa. One obvious reason is that the vast majority of foreign firms operating in Africa originate from developed countries where a higher level of technology is available than those in their host countries in Africa. Figure 4.2: Foreign Premium on Labor Productivity in Southern Africa Percentage Differential between Foreign and Doemstica Firms on Value-Added per Worker Mozambique Tanzania Namibia Madagascar DRC Malawi South Africa Botswana Angola Mauritius Swaziland -50% 0% 50% 100% 150% Source: Authors’ estimation based on World Bank Enterprise Survey data Note: Based on estimated coefficient for foreign ownership dummy variable in regressing value-added per worker (in log) on foreign ownership dummy, capital per worker, and industry fix effects for individual country samples. 4.4 Foreign-owned firms export more intensively than domestically owned firms in SASR and in all sectors in the data set. Figure 4.3 compares average export intensity (percentage of total sales revenue earned from exporting) between domestically owned and foreign-owned firms in individual Southern African countries. The figure also compares export intensity between foreign-owned and domestically owned enterprises for individual sectors. Without exception, foreign firms export their products more intensively than domestic firms by wide margins. The positive correlation between foreign ownership and export performance in Africa is consistent with other studies. 11 There are several reasons why the share of foreign ownership matters particularly in low-income countries. First, foreign direct investment brings skills and technologies from source countries that are otherwise not available domestically. And such skills and technologies help improve the physical productivity of firms (productivity effect). 11 For example, Rankin, Söderbom, and Francis Teal (2006); Yoshino (2008). 17 Another reason is that firms with foreign ownership are more likely have to access to established overseas business networks and marketing channels or have their own cross-border corporate networks and channels, including those with the countries of parent companies, all of which facilitate their exporting activities (network effect).12 Figure 4.3: Export Intensity of Domestic and Foreign Firms in Southern Africa by Country and by Sector Lesotho Textiles and Madagascar Garments Malawi Mauritius Other Namibia Manufacturing Swaziland Machinery, South Africa Metals, and Other SSA Electronics Mozambique Domestic Food Domestic Tanzania Botswana Foreign Foreign DRC Chemicals and % total exports/total sales Plastics % total exports/total sales Angola 0 5 10 15 20 25 30 35 0 10 20 30 40 50 60 Source: Authors’ estimation based on World Bank Enterprise Survey data Note: Estimation based on sampled firms in Southern African countries only 4.5 Productivity is an important determinant of firms’ export performance. The relationship between firm-level productivity and a firm’s export performance has been studied extensively in the literature. A few papers have considered the dynamic aspect of how productivity and exporting behaviors are related at the level of individual firms. Some studies argue that the firm-level productivity matters in a firm’s decision to export because the presence of sunk costs associated with exporting allows only productive firms to participate in export markets (e.g., Roberts and Tybout 1997).13 The productivity effect of foreign-owned enterprises allows them to overcome the sunk costs. Also, the network effect reduces the sunk costs. 4.6 Econometric analysis has been conducted to analyze the impacts of productivity and foreign ownership on export intensity at the firm level. Table 4.1 shows coefficient estimates of the two-limit Tobit model (maximum likelihood estimator), censored below at 0(%) and above at 100(%) to analyze the factors that influence the firms’ export intensity.14 The set of regressor variables used in this model includes a productivity term (measured by value-added per worker), size and age of the firm, terms to capture the technical level for production measured both by capital-labor ratio and skilled-to-unskilled labor ratio, and number of years of managerial experience in the same industry. In addition to these variables, the proportional size of shares owned by foreigners is included in the model to capture the effect of foreign ownership on export intensity. Finally, to see how foreign firms’ export participation and ultimate location choice of 12 See for example Blömstrom and Kokko (1998) on multinational corporations and their networks. Note that network effect discussed here is not necessarily limited to corporate networks discussed later in this section. 13 This is called “self-selection hypothesis.� Another line of argument is that the reason for the positive relationship between firm-level productivity and export performance is that firms can raise their productivity through export, acquiring foreign technologies and strengthening their competitiveness by exposing themselves to tougher competition in foreign markets, thus the “learning-by-exporting� hypothesis. 14 Use of Tobit model to estimate firm-level export intensity has been used in several papers including Clarke (2005), Correa, Dayoub and Francisco (2007), and Yoshino (2008). 18 foreign investors, is sensitive to the local labor cost level, the interaction term between foreign ownership and country-sector average wage per worker is also included. The productivity term is endogenous to the model because productivity and export performance affect each other, as noted in the previous paragraph. To address this endogeneity problem, a series of Instrumental Variable (IV) Tobit regressions has been conducted using location (subnational region level) – sector average of value-added per worker as an instrument. This instrument was also used by Clarke (2005) and produced robust results in estimating the impact of productivity on firms’ export intensity in Africa. Table 4.1: Estimation of Export Intensity Tobit Model: Table of coefficient estimates with standard errors in parentheses Tobit Model IV Tobit Model Dependent Variable = Total Exports as % of Instrument = location-sector average of Total Sales value- added per worker All SSA Non-SASR SASR All SSA Non-SASR SASR Labor Productivity 0.0008** 0.0136 0.0006* 0.0025*** 0.0152 0.0037** (Value-added per worker) (0.0002) (0.0077) (0.0003) (0.0007) (0.0077) (0.0013) Size of Firm 20.481*** 20.207*** 20.734*** 19.910*** 20.246*** 18.684*** (Log of total no. workers) (1.4580) (2.3535) (1.8959) (1.4702) (2.3439) (2.0774) Skilled Labor Ratio 0.0707 0.0005 0.1178 0.0778 –0.000 0.1344 (No. skilled workers/No. total workers) (0.0572) (0.0872) (0.0756) (0.0574) (0.0867) (0.0776) Capital-Labor Ratio –0.000 –0.000 0.0000 –0.000 –0.000 –0.000 (Value of capital assets/No. of total workers) (0.0000) (0.0000) (0.0000) (0.0000) (0.0000) (0.0000) Age of Firm 0.5214 4.9415 –1.568 –0.096 4.8753 –2.652 (No. of years since establishment) (2.4929) (4.3414) (3.0677) (2.5105) (4.3193) (3.1742) Manager's Experience 5.0265* 5.2508 4.5614 5.2506 5.2074 5.4809 (No. of years manager has been in the same (2.3031) (3.8099) (2.8967) (2.3101) (3.7912) (2.9852) industry) Foreign Share 0.3608*** 0.1525 0.4504*** 0.3784*** 0.1706 0.4853*** (% of total shares owned by foreigners) (0.0605) (0.1185) (0.0837) (0.0612) (0.1185) (0.0872) Foreign Share * Avg. Wage Level –0.000** 0.0000 –0.000** –0.000*** 0.0000 –0.000*** (Interaction between Foreign Share and (0.0000) (0.0000) (0.0000) (0.0000) (0.0000) (0.0000) country-sector average of wage per worker) No. of observation 2513 1106 1407 2513 1106 1407 2 Pseudo R 0.0937 0.0782 0.1054 Source: Authors’ estimation based on World Bank Enterprise Survey data Note: Country and industry dummies are included in estimating the model, but not reported in the table. * significant at 5%, ** significant at 1%, *** significant at 0.1%. 4.7 Even with productivity controlled, foreign ownership is found to be still significant in explaining export intensity of firms in SSA in general, and in SASR in particular. In the regular Tobit regression, the coefficients for labor productivity, size of firm, foreign share, and the interaction between foreign share and average wage level are significant for the entire sample of 19 firms in SSA, as well as for the subset sample including only firms in the Southern Africa subregion. On the other hand, only size is significant in the case of a sample that includes only firms in SSA but outside of Southern Africa. These patterns are robust even with IV Tobit regression with the endogeneity variable instrumented. Thus, even when controlling for productivity (value-added per worker), foreign ownership is still found to be positively affecting export intensity of firms and is statistically significant. This hints that network effects of foreign ownership may be present in facilitating cross-border trade, in addition to a generally higher level of productivity among foreign firms, which allows them to participate in export markets (productivity effect). 4.8 This micro-evidence of trade-FDI linkages among firms in Southern Africa supports the findings from earlier gravity model studies that found a strong association between trade and FDI among SADC countries for their aggregate FDI inflows and global exports. Bezuidenhout and Naudé (2008) used a modified gravity model to estimate the relationship between trade and FDI in SADC countries. They found evidence of a significant causal relationship from SADC’s exports to inward FDI. Specifically, they found that, in the case of U.S. or UK outward FDI to SADC, it is exports from SADC to those countries that are significant, whereas in the case of continental European countries, their outward FDI to SADC are significantly associated with both exports and imports. 4.9 Foreign ownership matters particularly in low labor-cost sectors and countries in SASR. Controlling for other factors, the interaction term between foreign ownership and country-sector average labor cost is found to be negative and significant in SSA, and particularly so in the case of SASR. This implies that the intensity of exports among foreign firms in SASR is sensitive to the local level of labor cost, adjusted by sector. The low wage level in LICs provides a cost advantage for firms in such countries in export markets, provided that the skill level is not too different between LICs and MICs or that the products are unskilled-labor- intensive, which has a comparative advantage to export and which is likely be the case in Africa. As shown in figure 4.4, average wage levels among foreign enterprises in specific countries and sectors in SASR are negatively associated with the firms’ average export intensity. Although the current analysis does not provide a direct answer to the question how labor cost has affected location decisions by foreign firms, the triangular relationship in SASR countries among foreign ownership, export orientation, and local labor cost may suggest a possible motivation of foreign firms to choose low-labor-cost locations within SASR (e.g., Southern Africa LICs) to set up their platforms for exporting either subregionally or globally. Figure 4.4: Average Wage Cost per Worker and Export Intensity of Foreign Firms in Southern Africa Foreign Firms in Southern Africa 14000 (sector-country average) 12000 Av. wage per worker 10000 8000 6000 4000 2000 0 0 20 40 60 80 100 120 Export Intensity = Exports as % of total Sales 20 Source: Authors’ estimation based on World Bank Enterprise Survey data Note: Each plot represents a specific sector of a specific country in Southern Africa. Sector-country categories with less than 5 foreign firms are omitted from the diagrams. SUBREGIONAL TRADE–FDI LINKAGE IN SOUTHERN AFRICA: FINDINGS FROM ORIGINAL ENTERPRISE DATA FROM THE CASE STUDIES 4.10 To determine more detailed patterns of subregional trade and investment at the firm-level, enterprise data were collected for this study in the form of country case studies in eight select Southern African countries: Botswana, Democratic Republic of Congo, Lesotho, Malawi, Mozambique, Namibia, South Africa, and Zambia. In each country, approximately 70 firms (in both manufacturing and service sectors) were interviewed, except for Lesotho where only 40 firms were covered. In each country, a wide range of sectors was covered. See Appendix table A.3 for the cross-tabulation of the data by country and sector. 4.11 The nationality of each foreign firm is uniquely identified in the data, allowing comparison between foreign firms with owners from inside and outside of SASR. The data set includes ownership characteristics, export and import patterns, cross-border investment patterns, and use of trade logistics, as well as a set of basic attributes on firm activities such as employment and source of financing. This data set is unique because the firm owner nationality is identified, so that, even among foreign-owned firms, those with intra-SASR cross-border investment can be distinguished from those with investment from outside of the subregion (table 4.2). Table 4.2: Distribution of Sample by Country and Owner’s Origin Owner’s Origin Other Other SASR SASR Outside Domestic (LIC) (MIC) of SASR Total Botswana 40 11 4 19 74 DRC 67 3 70 Lesotho 36 2 4 42 Malawi 63 1 7 71 Mozambique 40 7 27 74 Namibia 46 3 16 5 70 South Africa 65 1 11 5 82 Zambia 39 1 19 59 Total 396 20 40 86 542 Source: Southern Africa MIC Growth Spillover Country Case Studies 4.12 Among firms operating in SASR, those established by intra-SASR investment are more likely to be in some corporate group structures than either domestic or foreign firms with owners outside of SASR. Firms owned by foreign entities from other SASR countries (intra-SASR investments) are more likely to be a part of a holding or group of companies than are domestic or foreign-owned firms outside of SASR (figure 4.5). Also, ownership by other corporate entities seems to be relatively sizable among those subregionally owned firms compared to domestic-owned or other foreign firms, as opposed to ownership based on pure financial flows (banks and investment funds) (figure 4.6). As a consequence, subregionally 21 owned intra-SASR firms are slightly more engaged in intra-group sales and purchase than are other types of firms. Figure 4.5: Affiliation with Corporate Groups by Figure 4.6: Type of Principal Owner by Origin of Origin of Owner Owner 100% 100% 90% 90% 80% 80% Other 70% 70% 60% 60% Government 50% Not part of holding or 50% group company 40% Banks or investment 40% Part of holding or group funds 30% 30% company Private corporations 20% 20% 10% 10% Individual or Family 0% 0% Domestic Other SASR Outside of Domestic Other SASR Outside of SASR (LIC+MIC) SASR (LIC+MIC) Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data 4.13 Based on labor productivity, firms with intra-SASR investments are more productive than domestically owned firms, but less productive than foreign firms with owners from outside of SASR (figure 4.7). For both low- and middle-income SASR countries, the median value-added per worker among foreign SASR firms (firms with owners from other SASR countries or that have parent companies headquartered in other SASR countries) is higher than that of domestically owned firms. On the other hand, those subregional or intra-SASR foreign firms have lower value-added per worker than foreign firms with owners from outside of SASR. For each ownership type, firms in middle-income SASR countries are more productive than those in low- income SASR countries. The similar relative position of foreign SASR firms vis-à-vis domestic as well as foreign firms from outside of SASR in terms of their labor productivity is observed by looking at unit labor cost, that is, the labor cost of producing one unit of product.15 Figure 4.7: Median Value-added Per Worker by Location of Firm and Origin of Owner 25000 20000 15000 Domestic Firms Foreign SASR Firms 10000 Foreign Firms from 5000 Outside of SASR 0 SASR LIC SASR MIC (excl. South Africa South Africa) Note: Only mining and manufacturing firms are considered. Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data 15 Unit labor cost is defined as the ratio of total labor cost of a firm to its total value-added. 22 4.14 For all manufacturing, services, and mining, foreign firms, particularly intra-SASR foreign firms, are more likely to be engaged in exports than are domestically owned firms (figure 4.8). Consistent with other firm-level data—such as the World Bank Enterprise Surveys conducted in African countries, including Southern Africa—the data in this study show that foreign-owned firms have a higher propensity to export compared to domestic firms. Foreign firms with owners from other SASR countries have a substantially higher rate of participation in exports than foreign firms with owners outside of SASR, both for mining-manufacturing and services. Figure 4.8: Export Participation Rate by Origin of Owner Manufacturing Services Mining 100% 100% 100% 90% 90% 90% 80% 80% 80% 70% 70% 70% 60% 60% 60% 50% Non Exporter 50% Non Exporter 50% Non Exporter 40% 40% 40% Exporter Exporter Exporter 30% 30% 30% 20% 20% 20% 10% 10% 10% 0% 0% 0% Domestic Other SASR Outside of SASR Domestic Other SASR Outside of SASR Domestic Other SASR Outside of SASR Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data 4.15 While the vast majority of sales revenue is still earned from domestic sales for firms in general, foreign firms on intra-SASR investment operating in low-income SASR countries have a relatively high level of intra-SASR exports for selling their outputs, mainly exporting to middle-income SASR countries. Table 4.3 shows that sales revenues of mining and manufacturing firms are distributed among various destinations (domestic markets, other middle-income SASR countries, other low-income SASR countries, other SSA countries outside of SSA, and countries outside of SSA) for different country groups and origins of owners. The high export propensity of intra-SASR foreign firms, observed in figure 3.9, appears to be driven by the relatively high intensity of their exports to middle-income SASR countries by intra-SASR foreign firms operating in low-income SASR countries (13.5 percent of total sales). The vast majority of such exports go to South Africa. A similar pattern is observed among firms in service sectors. On the other hand, in middle-income SASR countries, foreign firms with owners from outside of SASR have a slightly higher level of exports outside of Africa on average. Table 4.3: Distribution of Sales Destination by Location and Ownership Types of Firms Output Sales Destination (%) Other SASR Other SASR SSA outside Outside of Location Origin of Owner Domestic (MIC) (LIC) of SASR SSA SASR LIC Domestic 95.7 0.4 1.4 0.1 2.4 SASR LIC Other SASR 82.1 13.5 3.8 0.0 0.6 SASR LIC Outside of SASR 93.8 2.6 0.9 0.0 2.7 SASR MIC (excl. South Africa) Domestic 94.8 2.4 2.7 0.0 0.0 SASR MIC (excl. South Africa) Other SASR 94.5 1.1 4.4 0.0 0.0 SASR MIC (excl. South Africa) Outside of SASR 92.8 0.4 0.1 0.0 6.8 South Africa Domestic 93.8 2.8 1.4 0.0 2.0 South Africa Other SASR – – – – – 23 South Africa Outside of SASR – – – – – Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data Note: Figures for foreign-owned firms (other SASR and outside of SASR) in South Africa are suppressed due to small numbers of observations in those categories. 4.16 Intra-SASR foreign firms have a higher level of intra-SASR imports for their inputs, while foreign firms with owners from outside of SASR have a higher level of imports from outside of SASR. Table 4.4 presents the distribution of origins of inputs purchased by the mining and manufacturing firms in the sample for different country groups and origins of owners. For both in low-income and middle-income SASR countries, firms owned subregionally by owners from other SASR countries (or intra-SASR foreign firms) have a relatively high level of imports from other SASR countries (mostly middle-income SASR countries) for their inputs. On the other hand, foreign firms with owners from outside of SASR have a slightly higher level of imports for their inputs from outside of Africa on average. Table 4.4: Distribution of Sales Destination by Location and Ownership Types of Firms Input Purchase Origins (%) Other SASR Other SASR SSA outside Outside of Location Origin of Owner Domestic (MIC) (LIC) of SASR SSA SASR LIC Domestic 74.8 8.3 5.9 1.0 9.9 SASR LIC Other SASR 52.1 29.4 0.6 1.8 16.2 SASR LIC Outside of SASR 46.9 6.0 0.6 1.6 44.8 SASR MIC (excl. South Africa) Domestic 67.4 26.0 3.3 0.3 3.0 SASR MIC (excl. South Africa) Other SASR 66.6 33.4 0.0 0.0 0.0 SASR MIC (excl. South Africa) Outside of SASR 37.5 25.4 0.4 7.1 29.6 South Africa Domestic 92.3 1.9 1.2 0.0 4.6 South Africa Other SASR – – – – – South Africa Outside of SASR – – – – – Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data Note: Figures for foreign-owned firms (other SASR and outside of SASR) in South Africa are suppressed due to the small numbers of observations in those categories. 4.17 Econometric analysis shows that affiliation with corporate groups, as well as subregional foreign ownership, is a significant factor in facilitating intra-SASR trade. To test how subregional trade-FDI linkages at the firm level are related to corporate ownership characteristics, either being owned by owners from other countries in Southern Africa or being a part of corporate groups, econometric analysis using multinomial logit model was conducted. Specifically, the model estimates how the geographical orientation of firms’ exports, whether they export mainly to subregional markets or to markets outside the subregion, is determined by their ownership characteristics. along with other control variables. As shown in table 4.5, the outcome that a firm exports mostly within SASR (more than half of their exports go to other countries in the subregion) is strongly associated with size of firm, foreign intra-SASR ownership, and imports within SASR for firm’s inputs. Once affiliation with a group is taken into account, those intra-SASR ties, both in terms of ownership and of imports, are no longer statistically significant. This implies that group affiliation captures the most of the effects of 24 intra-SASR ties. For the outcome that a firm exports mostly outside of SASR, importation for their inputs, either subregionally or from outside of the region, appears to be a very significant factor, along with the size of the firm. 4.18 Intra-SASR foreign firms also contribute to cross-border movement of workers in SASR. As shown in table 4.6, subregional foreign firms tend to employ more foreign workers with origins within the subregion, while foreign-owned firms from outside of SASR employ more foreign workers from outside of the subregion. Table 4.5: Estimation of Multinomial Logit Model on Export Market Orientation Table of coefficient estimates with standard errors in parentheses I II Dependent Variable = Export Market Orientation (0 if no export; 1 if export mostly within SASR; 2 if export mostly outside of Export mostly Export mostly SASR) within SASR Export mostly within SASR Export mostly outside of SASR outside of SASR Size of Firm 0.5425*** 1.5480*** 0.4478** 1.5001*** (Log of no. of total workers) (0.1453) (0.3581) (0.1512) (0.3589) Owner from other SASR 0.9618** 0.5760 0.6393 0.3377 (Dummy: if/not owner from other SASR (0.4406) (1.3730) (0.4610) (1.4407) countries) Owner from outside of SASR 0.2000 –0.980 0.1007 –1.136 (Dummy: if/not owner from outside of SASR) (0.4629) (1.0849) (0.4724) (1.1747) Imports from other SASR 0.0133** 0.0309** 0.0097 0.0290* (% of imported inputs from other SASR as % of (0.0052) (0.0142) (0.0054) (0.0146) total input purchases) Imports from outside of SASR 0.0103 0.0584*** 0.0071 0.0570*** (% of imported inputs from other SASR as % of (0.0071) (0.0157) (0.0072) (0.0160) total input purchases) Group Affiliation 1.2802*** 0.7121 (Dummy: if/not firms belong to a group (0.3819) (1.0654) company or a holding company) No. of observations 542 542 Pseudo R2 0.3197 0.3419 Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data Note: Country and industry dummies are included in estimating the model, but not reported in the table. * significant at 5%, ** significant at 1%, *** significant at 0.1%. Table 4.6: Distribution of Employees by Origin Origins of Employees (%) Location Origin of Owner Domestic Other SASR Outside of SASR SASR LIC Domestic 94.0 2.6 1.9 SASR LIC Other SASR 87.5 11.0 0.5 SASR LIC Outside of SASR 72.9 5.6 13.4 SASR MIC (excl. South Africa) Domestic 91.1 6.7 1.5 SASR MIC (excl. South Africa) Other SASR 84.7 13.0 0.6 25 SASR MIC (excl. South Africa) Outside of SASR 81.6 5.7 11.8 South Africa Domestic 91.7 6.9 1.4 South Africa Other SASR 80.0 20.0 0.0 South Africa Outside of SASR 72.0 16.0 12.0 Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data 4.19 Inadequate logistics infrastructure and services is the top concern for domestic and foreign firms from outside of the subregion in expanding their exports to their current subregional export markets, but this is not the case for foreign intra-SASR firms. In ranking various bottlenecks to expanding current export markets, competition from other foreign rivals in export markets has been raised as the most serious impediment for foreign subregional firms. Interestingly, for those firms such concern appears to be more serious than inadequate logistics infrastructure and services, which are the main concern for domestic firms as well as foreign firms from outside of SASR. 4.20 The relatively weak perception regarding the problem related to trade logistics among intra-SASR foreign firms may result from their vertical integration in export value chains with less reliance on outside agents for trade logistics services. The collected data for the case studies include information as to whether the firms use outside agents for trade logistics services, including customs clearance and forwarding services as well as transport services between ports and the firms, either for exporting their products or importing their inputs. Only half of exporting foreign firms originally from within the subregion use outside agents either for customs clearance and forwarding services or for transport services for exports and imports (figure 4.9). On the other hand, all exporting foreign firms from outside of the subregion that were, interviewed for the country case studies use outside agents for trade logistics. This is not a surprising finding given the earlier finding that intra-SASR foreign firms operating in the subregion have a greater tendency to be a part of a corporate network, which may have transport and logistics service providers in the same networks. Some in-depth original interviews conducted with select enterprises in Southern African countries also underpin this pattern (see box 4.1). Figure 4.9: Usage Rate of Outside Independent Agent for Transport and Logistics Services 120.0% 100.0% 80.0% 60.0% Exporter 40.0% Non Exporter 20.0% 0.0% Domestic Firms Foreign SASR Foreign Firms Firms from Outside of SASR Source: Authors’ estimation based on Southern Africa MIC Growth Spillover Country Case Studies Data 26 Box 4.1: Buyer-Seller Relationship in Transport and Logistics Services in Southern Africa: Intra-Network Services and Customer-Driven Arrangements A South African-owned apparel manufacturer based in an export processing zone (EPZ) in Blantyre, Malawi, exports to the United States (20% of sales) as well as to South Africa (80%). The sales to the United States benefit from the duty-free access to the U.S. market under the African Growth and Opportunity Act (AGOA). There are no domestic sales due to their EPZ status. The company is a part of a large corporate group headquartered in South Africa. The company imports their inputs mostly from South Africa, which are produced by other affiliated companies in the same group. The distribution of their products within South Africa is also handled by their network. For cross-border transport of their shipments, the company uses a global shipping company headquartered in the United States for their exports to the United States through arrangements made by their customers. A logistics company affiliated with the same group is used for their sales in South Africa. This logistics company in the network covers all Southern African countries except Angola. They have active operations in South Africa, Botswana, DRC, Malawi, Mozambique, Namibia, and Zambia. Their principal competitor is a global shipping and logistics company headquartered in France. A representative of the office in Lusaka, Zambia, mentioned that the recent reduction in search cost due to the Internet technology allows sophisticated large-scale customers to optimize their supply chains by “carving up� transport and logistics supply chain by themselves. This new trend has reduced the services of the company segmented to the country level. For their Zambia operations, 95% of their clients are creating their own networks in this manner. Source: Authors’ original interviews 4.21 Competition appears to be intense among intra-SASR foreign firms in expanding their exports to their current subregional export markets. In ranking various bottlenecks to expanding current export markets, competition from other foreign rivals in export markets was raised as the most serious impediment by foreign subregional firms. In fact, the majority of firms, including those from South Africa, indicated that firms from South Africa are the principal competitors in their top export markets. 4.22 While a network of companies operating at the subregional level could be a driving force behind regional economic integration among SASR countries, some characteristics of corporate group structures generate inefficiency from the standpoint of spatial economy, limiting their scope for internalizing positive externalities from regional integration within their group structures. Group companies can improve efficiency of operations by exploiting economies of scale and scope. However, the vertical control of headquarters, mostly in South Africa, over their subsidiaries in other SASR countries to deter competition among subsidiaries limit the scope for fully internalizing cross-border regional integration in their business transactions, and generate economic inefficiency from the standpoint of spatial economics. A typical example is territorial exclusivity in franchising, where direct business transactions among subsidiaries located in different low-income SASR countries are restricted, even though such transactions improve overall economic efficiency (box 4.2). This sets a limit to the extent that those privately provided mechanism can internalize positive externalities from cross-border trade and investment. Box 4.2: Inefficiency in Cross-Border Transactions within Network Companies in Southern Africa: Territorial Exclusivity in Franchising and Centralized Shipping Arrangements by Group Headquarters A heavy machinery and earth removal truck manufacturing company headquartered in South Africa, which makes 27 equipment for mining and construction, has manufacturing and assembly plants in South Africa, Mauritius, New Zealand and Australia, the United States, and Europe. The group’s activities are mostly concentrated in Southern Africa because of their focus in mining, and they have also supplied copper mines in the DRC and Zambia with large fleets of materials-handling equipment. South Africa is the leading market; the proportion of sales compared to those in South Africa are 10% in Mozambique, 20% in Zimbabwe, 40% in DRC, and 40% in Zambia. The group’s representative in Mozambique said they would have to pay certain commission fee for cross-border shipment of their equipment from Mozambique to other countries. Another South African company is the authorized dealer of one of the leading U.S. brands of heavy-duty transport equipment in Southern African countries, including Angola, Botswana, DRC, Malawi, Mozambique, Namibia, and Zambia. Its Namibia office mainly covers Namibia, but, unlike the above case, some extra-territorial operations are allowed (and they have some business operations in Southern Angola as well). As a dealer, the company is most concerned with efficient logistics for shipping in and out. The Namibia office sees that their service efficiency is constrained by a corporate policy restricting entry points for U.S. products to the subregion to Cape Town and Durban in South Africa. However, company management in Namibia sees that efficiency would be significantly improved by using Port of Walvis Bay in Namibia for their Namibia operations because of its proximity to customers and the availability of cheap storage facilities. Based on the agreement with the equipment producer in the United States, the products are shipped from Baltimore and come to Cape Town via Dakar and Accra. For other small purchases from Europe, they can receive directly at Port of Walvis Bay. The relations with the client (equipment producer) and with the group headquarters thus constrain the efficiency of the company’s operations in Namibia. Source: Authors’ original interviews 4.23 While corporate group structures tighten investment-trade linkages at the subregional level, such structures may internalize not only positive externalities from cross-border trade and investment but also negative externalities from weak cross-border public goods and limits to the scope of competition. The fact that intra-SASR foreign firms are relying less on outside agents for trade and transport services mainly because of their group characteristics is in a sense a coping mechanism to inefficient public goods in terms of cross-border trade facilitation. More integrated group structures, while improving internal efficiency, would also limit the scope for entries and exits. While intra-SASR foreign firms are more cognizant of market competition, such strong perception of competition is a product of imperfect market competition (e.g., oligopoly, monopolistic competition). 4.24 Given the extremely limited participation of domestically owned firms in low-income SASR countries in cross-border trade, investments to improve trade-related infrastructure and services are necessary mechanisms to maximize internalization of positive externalities of regional integration. It should be noted that it is not only foreign firms from outside of SASR, that are more active in exports to outside of SASR, but also domestically owned firms, which are less active in exports in general, that are sensitive to poor quality of trade infrastructure and logistics services (see earlier paragraph). For those domestic firms to participate in cross-border trade, thus enlarging benefits from regional integration through cross-border commerce, investments to improve trade-related infrastructure and services are necessary to internalize such benefits in the economy. 28 5. DOMESTIC POLICIES TO ENHANCE GREATER TRADE AND INVESTMENT INTEGRATION Micro data show some evidence for inter-linkages between foreign direct investment and trade at the subregional level. To advance regional economic integration, the countries in the subregion need to strengthen domestic policies to enhance integration through both trade and investment, leveraging on the inter-linkages between the two. IMPROVING BUSINESS ENVIRONMENT AT SUBREGIONAL LEVEL TO CREATE LEVEL PLAYING FIELD TO FOSTER CROSS-BORDER INVESTMENTS 5.1 Given increasingly integrated trade-FDI patterns at the firm level in the subregion, necessary domestic and regional investment climate conducive to productivity growth and export enhancement is an important condition for attracting FDI. Despite the expected slowdown of FDI inflows to and outflows from the countries in Southern Africa in light of the global economic crisis, which is exogenous to those countries, there remains a number of other serious impediments to enhancing FDI flows in the subregion such as bottlenecks to the domestic business environment and cross-border trade facilitation, which are internal to those countries. Developing physical infrastructure, strengthening the institutional and policy framework, and building up the skills base of the workforce are among the most important challenges for SSA countries to maintain and increase FDI. 5.2 High costs of production are also an obstacle to increased FDI in extractive industries. In natural resource-producing countries like Angola, Mozambique, Botswana, Namibia, and South Africa, investments in greater value-added processing of diamonds and gold have been limited. For example, in Botswana, Namibia, and South Africa, diamond polishing and cutting costs are up to US$40 per rough carat, compared to US$10-14 in India (UNCTAD 2008a). Productivity has yet to be improved enough to reach the level of potential competitors in other countries in other regions of the world. 5.3 The significant heterogeneity among the countries in the subregion in business environment reduces overall performance in providing favorable business environment in the subregion. Even though some countries, particularly middle income countries in the subregion perform well in some key Doing Business indicators (figure 5.1), poorer performance among other countries in the subregion lowers overall performance as SASR relative to other SSA or other regions in the world. In SASR, it takes on average almost 50 days and 9 procedures to start a business compared to 40 days and 10 procedures in the rest of SSA. In terms of time required to start a business, it requires more number days in SASR compared to other regions. Within SASR, the time required to start a business is the longest in DRC and Zimbabwe, whereas, in Madagascar and Mauritius the shortest. The SASR requires less time and 29 procedures to register property in comparison to most other regions around the world. However, within the SASR, Angola by far requires the longest time to register property, on average 180 days in comparison to South Africa and Mauritius where it takes just over 20 days to complete the same procedure. With regard to policies protecting investors, South Africa and Mauritius take the lead in the sub-region. DRC, Lesotho and Swaziland have the worst investor protection policies and come last in the doing business investor protection index. Figure 5.1: Select Doing Business Indicators of SASR Countries and Other Regions Cost of Starting Business Cost of Registering Property Investor Protection 30 Source: Doing Business 2010 5.4 Investment policies matter because foreign companies must be allowed to invest in an industry if there is any potential for inward FDI. In this regard, a number of Southern African countries have been liberalizing their investment regimes to attract FDI. For example, Botswana and Namibia have introduced new policy measures allowing FDI into their telecommunication industries; Mauritius has opened its legal professional services industry to FDI; and Swaziland has opened up to FDI in insurance. However, not all policy changes adopted recently have been conducive to increasing FDI. The World Investment Report notes that Zambia, for instance, has introduced various taxes (on exports of seed cotton and copper) and increased royalties that directly affect foreign investments; Lesotho has extended its state monopoly over its fixed-line telephone services; Swaziland closed its retail sector to foreign investors; and Zimbabwe has prohibited money transfer operations by foreign or domestic agencies and main banking institutions (UNCTAD 2008a). 5.5 Restrictive measures still remain. Despite a good number of SASR countries having adopted a series of policy measures aiming to improve the domestic business environment and attract FDI and helped attract more FDI to the sub-region in recent years, particularly in the services industry, there still remains, however, a number of restrictive measures adversely affecting FDI. Table 5.1 shows that in the financial services sector, a number of countries like DRC, Tanzania and Zambia impose restrictions in employing foreign nationals. In the Telecom sector fixed lines are closed in Mozambique and Zambia and in Namibia mobile lines are closed until 2022. 5.6 In addition to sector specific policies, a number of SASR countries have horizontal restrictions in labor and employment. In Mozambique for instance, the maximum ownership of state-owned entities is 70% and employment of foreign staff is subject to labor market tests. In Mauritius, at least one member of the BOD has to be a resident. (Borchert et al, 2009) Table 5.1: Domestic Policies Affecting FDI in Services Finance Telecom Retail Transportation DRC 99% of workers Maximum FDI 70%. No Restrictive: retailing Railway sector closed. employed in foreign acquisition of public is reserved to Landlocked country. No owned banks must be entities. Minimum 99% nationals. However acquisition of public entities. national. 95% of the of local staff, 96% of exceptions can be Minimum 95% of local staff BOD has to be senior executives. made if approval of and senior executives. national. Gateway license fee the President is USD 55 million. granted. Nationality Regulator not requirement applies independent. to BOD and employees, 95% and 99% respectively. Madagascar Entry through branch Maximum FDI 66% Open: no law on No fixed quota, but not allowed for retailing. employment of some national automobile staff is expected. insurance. Maximum ownership of a state owned insurer: 70%. Malawi Entry through branch Maximum FDI 40%. Open, except: Auxiliary port services sector not allowed. Five top License awarding tilted Acquisition of shares closed. Landlocked country. executive positions to favor Malawian requires permission Maximum FDI 49% in can be occupied by entrepreneurs. Majority of the MOF. domestic air passenger/cargo, foreigners if required of board members must License must be 100% all other sectors. License by investor. be residents. renewed annually. awarding policy tilted in favor Minister of Trade can of Malawian entrepreneurs. 31 over-rule the decision Majority of board members of the licensing must be residents. authority. Majority of BOD must be residents. Mauritius Approval required VoIP call may not Open, except: No railway system. Auxiliary for acquiring or terminate at PSTN. Licenses must be port services barred at main holding a significant renewed annually port but entry allowed in number of shares. upon payment of Freeport zone. Licenses must be fees. renewed annually. 5% of insurance has to be ceded to a domestic re-insurer. Mozambique The incorporation of Fixed line sector closed Open, except: Open financial companies (exclusive license until Repatriation of requires 2028). Maximum FDI in earnings is subject to "authorization" mobile depends on approval of CB which is granted on a authorization by case by case basis by Finance Ministry. the Governor of the Central Bank of Mozambique. Namibia Entry through branch Mobile sector closed (2 Open: no license is Maximum FDI 49% in not allowed. exclusive licenses until required, only Health international air 2022). Maximum FDI in Certificates should be passenger/cargo, 100% all fixed line 49%. No obtained. other sectors. State owned acquisition of public Trans Namib Holding active in entities. Majority of road, rail and multimodal board members must be cannot be acquired. nationals. Gateway operation not permitted. South Africa Acquisition of a Maximum FDI 70%, at Open, except: 33% of Auxiliary port services sector state-owned entity least 30% to be held by the BOD must be closed. Maximum FDI 25% in not allowed. At least historically persons from domestic air passenger/cargo, two natural persons disadvantaged groups. historically 49% in international air residing in the Number of licenses disadvantaged passenger/cargo, 100% all country must manage limited. ICT Charter groups. other sectors. No acquisition of the business. 33% of will enact restrictions on public entities. the BOD must be staff and board persons from members. historically disadvantaged groups. Tanzania Entry through branch Maximum FDI 65%, Open, except: foreign In domestic air transport FDI not allowed. public entities up to retailers must bring only through joint venture. In Maximum ownership 49%. in the minimum auxiliary port services sector of state owned banks amount of USD 300, maximum FDI 50%. Foreign 000 (the requirement 40%.Restrictions on employees may only is USD100, 000 for employment of foreign staff be employed for key domestic retailers.) apply, composition of board of positions. directors must reflect ownership structure. Zambia 50% of the BOD Fixed line sector closed Open, except: No entry restrictions in any must be domestic (state monopoly). Licenses must be transport sector. In air residents. Entry Maximum FDI in renewed annually. transport, licensing is de facto through branch not mobile depends on No national economic needs test, license allowed. Licenses terms agreed with regulator; city and length decided case-by- case. must be renewed regulator. Gateway town councils decide annually. 50% of operation and VoIP not the licensing BOD must be allowed. Regulator not requirements. domestic residents. independent. Source: Borchert et al, 2009 32 POLICIES TO SUPPORT GREATER REGIONAL CROSS-BORDER TRADE 5.7 Poor trade facilitation is the most serious concern to foreign-owned firms in Southern Africa. In terms of investment climate constraints, Figure 5.2 shows that customs and trade regulations rank highest as the most severe obstacle foreign firms face in doing business in Southern Africa. This is consistent with one of the findings based on the original enterprise data collected for this study (see section 4 of this note). The logistics performance indicators show that South Africa, Mauritius and DRC rank highest an terms of customs, whereas Angola, Namibia and Mozambique are at the bottom of the rankings for Southern Africa and well below the regional average for Sub-Saharan Africa (figure 5.3). In terms of infrastructure, South Africa, Madagascar and Mauritius rank at the top of the list with Angola and Namibia at the very bottom (figure 5.3). 5.8 Corruption also increases cross-border transaction costs, particularly for cross- border trade in low-income countries in Southern Africa. Some Southern Africa countries have high rates of informal payments to firms’ total sales relative to the average level of Sub- Saharan Africa. Informal payments and lack of transparency in customs continue to be prevalent at some border crossing points in the subregion, such as between Zambia and DRC. For example, one transport and logistics company interviewed by the team in Zambia revealed that the company was once asked to pay $400,000 for duties on their consignments from DRC (Lubumbashi) after they had already paid tax, and only upon negotiation with the customs authority, were they able to reduce such payment to $100,000. The lack of transparency in customs policies and their implementation has also led to the growth of informal sector trade forwarding service providers, who are increasingly becoming competitors for formal trade logistics companies operating in the subregion. Figure 5.2: Perceived Top Investment Climate Constraint of Foreign-owned Firms in Southern Africa Source: Authors’ estimation based on World Bank Enterprise Surveys 33 Figure 5.3: Logistics Performance Indicators Customs Infrastructure Source: World Bank Logistics Performance Indicator, 2010 5.9 Cost of cross-border trading is significantly restricting propensity to export among firms in SASR. The econometric model in Section 4 to estimate factors influencing firm-level export intensity is extended to include a trading cost factor measured by customs efficiency or the length of time to clear customs at ports. In the case of SASR, the efficiency of customs has statistically significant effect to reduce the propensity of enterprises to export. Table 5.2: Customs Efficiency and Firm-Level Export Intensity IV Tobit Model Instrument = location-sector average of value- added per worker, location-sector average of number of days to clear customs Dependent Variable = Total Exports as % of for exports and imports Total Sales All SSA Non-SASR SASR Labor Productivity 0.002*** 0.065 0.003** (Value-added per worker) (0.001) (0.024) (0.001) Size of Firm 20.002*** 21.263*** 18.240*** (Log of total no. workers) (1.501) (2.424) (2.099) Skilled Labor Ratio 0.085 0.025 0.119 (No. skilled workers/No. total workers) (0.059) (0.091) (0.077) Capital-Labor Ratio 0.000 0.000 0.000 (Value of capital assets/No. of total workers) (0.000) (0.000) (0.000) 34 Age of Firm -0.821 2.229 -1.502 (No. of years since establishment) (2.558) (4.559) (3.153) Manager's Experience 4.849** 4.877 5.506* (No. of years manager has been in the same (2.360) (3.886) (3.011) industry) Foreign Share 0.391*** 0.108 0.556*** (% of total shares owned by foreigners) (0.096) (0.146) (0.149) Foreign Share * Avg. Wage Level 0.000*** 0.000 0.000*** (Interaction between Foreign Share and (0.000) (0.000) (0.000) country-sector average of wage per worker) Avg. Number of Days to Clear Customs -0.032 0.281 -1.292** (Average no. of days it takes to clear customs (0.240) (0.314) (0.558) for exports and imports) Foreign Share * Avg. No. of Days to Clear Customs 0.002 0.006 -0.001 (Interaction between Foreign Share and (0.004) (0.006) (0.006) average no. of days to clear customs) No. of observation 2059 887 1172 2 Pseudo R 35 6. SUMMARY AND CONCLUSION 6.1 Intra-subregional trade in Southern Africa is still limited from the point of view of individual SASR countries. However, trade between MICs and LICs in the subregion is increasing in both directions. For merchandise trade, manufacturing trade is the dominant leader of growing intra-SASR exports from MICs to LICs over the last five years, while fuels and mineral resources, including electricity, dominate intra-SASR exports from LICs to MICs in the recent years. Growing manufactured exports from MICs to LICs are largely machinery and equipments related to mining sectors and appear to be supporting LICs’ exports of mineral resources. 6.2 Intra-subregional FDI within the Southern Africa subregion (SASR) is largely driven by investments from South Africa to the rest of SASR countries, which have grown dramatically in recent years. While South Africa has been at the center of intra-SASR FDI, destinations of South Africa’s outward FDI are increasingly diversified to geographically more distant economies from South Africa, such as Angola, DRC and Tanzania, expanding the concentric circle of its regional outward FDI. Those key geographical patterns of intra-SASR FDI resemble the patterns observed in intra-SASR trade in goods, where South Africa is the leading exporter as well as importer of intra-SASR trade (South Africa centricity), however, there is growing trade between SASR and non-SASR SSA countries (expanding concentric circle). In terms of sectors, intra- SASR investments originating from South Africa have been largely concentrated in primary and extractive industries, but increasingly diversified with services becoming a major sector. The key patterns are:  Investment flows from South Africa to Mauritius, between two middle-income countries (MICs) in the subregion, are largely in the service sector, largely financial services related to Mauritius’ off-shore banking sector, but also in tourism, retail, and ICT.  Investment flows from South Africa to low-income countries in the subregion are more diversified, including mining, agriculture, manufacturing, and services. Mining and minerals is the leading type of investment in mineral rich countries such as Mozambique, Tanzania, and Zambia.  Investment flows from Mauritius to low-income neighboring countries in the subregion range from services (communication, transport, tourism) to agriculture (e.g., sugar related agribusiness) and manufacturing (e.g., textiles, apparel). 6.3 Turning to the firm-level analysis, firms in Southern Africa, particularly those in MICs in the subregion, are on average more productive than firms in other subregions in Africa. Foreign- owned firms are generally more productive than domestically owned firms. Foreign firms also export more intensively than domestic firms in SASR, as well as SSA as a whole. Productivity is an important determinant for firms’ performance in exports in SSA. And the higher level of productivity among foreign-owned firms is one of the reasons for their better export performance. The econometric analysis showed that, even with productivity being controlled, 36 foreign ownership is still a significant factor in explaining export intensity of firms in Southern Africa. Also, the export intensity of foreign-owned firms is found to be particularly sensitive to labor cost in Southern Africa, hinting that low labor cost is a factor for foreign firms to set up export platforms, whereas foreign firms in other subregions may be more likely to substitute exports by setting up production platforms for serving domestic markets (tariff-jumping FDI). This micro-evidence of trade-FDI linkages among firms in Southern Africa supports some earlier studies using gravity models, which found strong associations between trade and FDI among SADC countries for their aggregate FDI inflows and global exports. 6.4 Based on the original enterprise data collected in eight Southern African countries, including four MICs (Botswana, Lesotho, Namibia, South Africa) and four LICs (DRC, Malawi, Mozambique, Zambia), where nationalities of enterprise owners are uniquely identified, it is found that among firms operating in those eight Southern Africa, those under intra-SASR cross- border investments, or intra-SASR foreign firms, are more likely to be in some corporate group structures under holding companies that are mostly headquartered in South Africa. While the majority of sales revenue is still earned from domestic sales for firms in SASR in general, intra- SASR foreign firms operating in low-income SASR countries have a tendency to export to other SASR countries (intra-SASR exports), mainly exporting to middle-income SASR countries such as South Africa. Cross-border FDI among SASR countries seems to be creating cross-border trade among SASR countries, where corporate groups play a facilitating role, as observed in the econometric analysis on firms’ characteristics and their export orientation in terms of export destinations. 6.5 The original data collected for the study show that inadequate logistics infrastructure and services is the top concern for domestic and foreign firms from outside of the subregion, specifically with regard to expanding their exports, but, interestingly, this is not the case for intra-SASR foreign firms. This relatively weak perception of the logistics problem may be due to their vertical integration in export value chains with less reliance on outside agents in getting trade logistics services. Competition appears to be intense among SASR subregional firms in expanding their exports to their current subregional export markets. While group companies operating in the subregional level could be a driving force behind regional economic integration among SASR countries, some characteristics of group companies, such as vertical control through territorial exclusivity in geography-based franchising, generate some inefficiency from a the standpoint of spatial economy by restricting commercial interactions mostly between “core� and “periphery� and not among “peripheries�, in this case, among LICs in the subregion. This limits the scope for such private corporate group structures to internalize positive externalities from regional integration within the group structures. Corporate group-based FDI could also limit the level of competition in the market, particularly in network industries such as transport services. While group-based FDI facilitates the initial expansion of cross-border trade, policies should be taken to remove constraints for non-group affiliated firms, particularly domestic indigenous firms, to engage in cross-border trade in order to maximize efficiency gain from regional integration. 6.6 While corporate group structures tighten investment-trade linkages at the subregional level, such structures may internalize not only positive externalities from cross-border trade and investment but also negative externalities from weak cross-border public goods and limiting the scope of competition. The fact that intra-SASR foreign firms are relying less on outside agents 37 for trade and transport services as a result of their mostly grouped characteristics is in a sense a coping mechanism to inefficient public goods in terms of cross-border trade facilitation. More integrated group structures, while improving internal efficiency, would also limit the scope for entries and exits. While intra-SASR foreign firms are more cognizant of market competition, such strong perception of competition is a product of imperfect market competition (e.g., oligopoly, monopolistic competition). 6.7 Despite the growth in foreign direct investment flows to SSA since the beginning of the current decade, the growth prospect of FDI flows in the region is dampened by the recent global financial crisis. While FDI inflows are expected to be less volatile than other private capital flows, the growth in FDI inflows to Africa is expected to slow down. Given the increasingly integrated SASR economy through cross-border trade and investments, impacts from the global financial crisis may not be contained within individual countries, but may well generate secondary impacts on neighboring countries through reduction in subregional trade and investment. 6.8 Despite the expected slowdown of FDI inflows to and outflows from the countries in Southern Africa in light of the global economic crisis, which is exogenous to those countries, there remains a number of other serious impediments in enhancing FDI flows in the subregion, such as inadequate domestic investment climate and cross-border trade facilitation, which are internal to those countries. Providing level playing field at the subregional level through domestic efforts to improve business environment is critical in fostering effective trade- investment inter-linkages. Intra-regional and inter-regional trade and economic partnership agreements, such SADC and AGOA, have been pivotal in generating both intra- and inter- regional FDI flows in Southern Africa. However, not all countries and industries have been able to exploit the benefits of those cross-border arrangements. High costs of production are also an obstacle to increased FDI, particularly in extractive industries. And the level of productivity in Southern African countries is yet to be improved to reach the level of their potential competitors in other regions of the world. Liberal and transparent domestic investment policies are also important, since foreign companies must be allowed to invest in an industry if there is any potential for inward FDI. 6.9 Poor trade facilitation has been identified as the most serious concern to foreign-owned firms in Southern Africa. While improvements in transport and trade logistics of ports and corridors facilitate exports to other regions and subregions (global exports), improvements in efficiency and transparency in customs administration for border crossings in landlocked LICs in the subregion would also help domestic enterprises in LICs to participate more actively in subregional cross-border trade. In fact, corruption increases cross-border transaction costs, particularly for cross-border trade in LICs in Southern Africa. Not only at the aggregate level, but also at the firm-level, intra-SASR cross-border trade and investment is dominated by South African firms. Given extremely limited participation of domestically owned firms in low-income SASR countries in cross-border trade, investment to improve trade-related infrastructure and services are necessary mechanisms to maximize internalization of positive externalities of regional integration. 6.10 Given that the current trade-generating intra-subregional investment is largely led by corporate group structures originating in South Africa, there is a strong South-African centric 38 nature in the current patterns of intra-subregional trade at the firm level. While vertical integration through corporate grouping improves efficiency along supply chains, such structure is not sufficient to improve efficient spatial distribution of growth by limiting the scope of spillover effects originating outside of South Africa such as cross-border transactions between LICs or between non-South-African MICs and their neighboring LICs. In order to fully internalize positive externalities from cross-border trade and investment at the subregional level, continued efforts should be made through public policies to enhance efficiency of cross-border movements of goods, capital, and labor among the SADC countries. 6.11 In this context, developing and modernizing logistical, transportation, communication, ports, and other infrastructure elements to enable the efficient facilitation of trade and investment flows within the subregion is recommended. Strengthening cross-border institutions, such as customs, and reforming and harmonizing their procedures and policies to make them commercially oriented and responsive to the growing demands within the subregional economies as well as the world trading system should also be undertaken. The governments in SASR, in the context of SADC, should scale up their efforts to address bottlenecks to cross-border trade, not only those related to major ports for their access to the global export markets but also improvements of efficiency and transparency in customs administration along major corridors as well as border crossings in landlocked LICs in the subregion. Measures that restrict the movement of professionals (Mode IV reforms) so as to foster transfers of modern skills and technology should also be reviewed. 39 REFERENCES Biggs, T., M. Shah, and P. Srivastava. 1995. “Technological Capabilities and Learning in African Enterprises.� World Bank Africa Technical Department Paper Series no. 288, World Bank, Washington, D.C. Bigsten et al. 2004. 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(www.doingbusiness.org) World Bank Development Prospects Group (DECPG). 2010. Global Economic Monitoring (GEM) Database. (http://econ.worldbank.org/external/default/main?menuPK=476823&pagePK=64165236&piPK= 64165141&theSitePK=469372) World Bank Enterprise Surveys Portal (www.enterprisesurveys.org) Yoshino, Yutaka. 2008. “Domestic Constraints, Firm Characteristics, and Geographical Diversification of Firm-Level Manufacturing Exports in Africa.� World Bank Policy Research Working Paper 4574. World Bank, Washington, D.C. 41 ANNEX Annex Box 1: Patterns of Intra-subregional FDI Inflows and Outflows of the Two MICs: South Africa and Mauritius A. South Africa For the largest two destinations of intra-SASR FDI from South African (Mauritius and Mozambique), more than half of such investments in 2007 were in the mining sector (aluminum), followed by agribusiness (15 percent), manufacturing (13 percent), and finance (12 percent). In Mauritius, specifically, South African FDI outflows were overwhelmingly directed toward its services sector, with flows to financial services alone accounting for 70 percent of South Africa’s total FDI flow there, followed by hotels and restaurants (19 percent), and into the Mauritian wholesale and retail sector (7 percent). Its outward FDI stock accumulated by the private non-banking sector has grown rapidly in recent years. South Africa’s public corporations are the second largest investors in terms of accumulated outward FDI stock in Southern Africa. This group’s FDI stock has been relatively stable. The amount of the South African banking sector’s outward FDI stock in the region remains relatively small and has been falling since 2001, dropping from US$480 million to US$80 million in 2006. B. Mauritius Mauritius has emerged as one of the leading regional sources of FDI to Southern Africa. In 2000, Mauritius’s FDI outflow to Southern Africa was just US$5 million. But since then Mauritius’s outflows of FDI to the region have increased significantly. By 2007, Mauritian total FDI outflows to the world were US$65 million, almost a third (US$21 million) of which was to Southern Africa. During 2006–07, the leading destinations for these outward flows were Madagascar, Mozambique, and Malawi, accounting for 25 percent, 23 percent, and 22 percent of its total regional outflows, respectively. For its FDI flows to Southern Africa as a whole, Mauritian investment has been concentrated in the tourism sector, accounting for 37 percent of its total regional outflows. 42 Regional FDI inflows have been skewed heavily toward the Mauritian services sector. From 2002 to 2007, 80 percent (US$56 million) of its total regional FDI inflows were in its financial sector, followed by 16 percent in its hotel and restaurant sectors. In contrast, FDI inflows from regional sources to the Mauritian manufacturing sector were relatively small, accounting for just 4 percent of total inflows from Southern Africa during the same period. The main source of FDI flow came from South African banks investing in the Mauritian financial sector. The country has enacted various laws and provided incentives to build a reputation as a credible international financial center and, as part of this effort, signed double taxation treaties with 26 countries, including South Africa. South African firms have also targeted the Mauritian tourism sector, in particular the hotel industry, which has gathered momentum lately under the Integrated Resorts Scheme (IRS) 16. Mauritius has been seeking to diversify its inward FDI by focusing on other areas of its services sector such as the information and communications technology (ICT) sector by setting up a cyber park. Source: Isik (2009) based on data from Banco de Moçambique, Bank of Mauritius, South Africa Reserve Bank, and UNCTAD Annex Box 2: Patterns of Intra-subregional FDI Inflows of Four LICs: Mozambique, Tanzania, Angola, and Madagascar A. Mozambique In 2007, Mozambique received a total of US$427 million in FDI inflows, of which US$210 million (50 percent) was 16 IRS is an initiative of the Government of Mauritius that facilitates the acquisition of resort and residential property by non-citizens. Until 2002, foreigners were not permitted to purchase property in Mauritius. With the introduction of the IRS, the market was opened up to foreign buyers on a restricted basis, which permits the construction and sale of luxury villas, a number of which were built as high-class leisure and recreational facilities, such as golf courses, marinas, or wellness centers around the country (http://www.integratedresortscheme.com). 43 from Southern African countries. Two countries stand out as the primary sources of regional FDI flows to Mozambique. South Africa is, of course, the largest regional source, accounting for US$176 million (or 84 percent of Mozambique’s inflows from the region) in 2007. Mauritius is also a significant regional investor in Mozambique, accounting for 14 percent of inflows from the region, contributing US$29 million in the same year. Mozambique Inward FDI Flows, 2004–07 Regional Distribution of Mozambique Inward FDI Flows, 2007 At the sector level, the majority of Mozambique FDI inflows from the region have been in its mining sector, particular aluminum. In 2007, the Mozambique mining sector received US$110 million in FDI flows from Southern Africa, accounting for almost half of total flows from the subregion, and more than doubling the US$44 million received in 2004. The manufacturing and the transport and communications sectors also attracted significant amounts of FDI flows from the region. In 2007, these sectors received US$27 million and US$24 million, accounting for 13 percent and 11 percent of total regional inflows, respectively. From 2004 to 2007, with the exception of the transport sector, all sectors in Mozambique enjoyed a significant increase in FDI flows. After South Africa, Mauritius is the second largest source of FDI inflows for Mozambique. Unlike South Africa, however, Mauritius’s FDI flows are not concentrated in the mining sector, but rather in transport and communications. B. Tanzania In Tanzania, where considerable progress has been made in both the privatization of state-owned enterprises and liberalization of both trade and investment, FDI inflows have also been increasing in recent years. FDI inflows to Tanzania have come mainly from South Africa, particularly following the privatization of the national airline and telecommunications company in which South Africa firms purchased large shares. The figure below, left, clearly illustrates that South Africa and Mauritius represent almost all of FDI to Tanzania originating from Southern Africa, accounting for 79 percent and 20 percent of regional flows, respectively. 44 Tanzania is endowed with significant deposits of minerals, including nickel, iron, coal, gold, diamonds, and other gemstones. Consequently, mining for these resources attracts a significant amount of FDI. The figure above, right, confirms that the mining sector attracts the greatest share of regional FDI inflows, accounting for almost half of the total. C. Angola In recent years, and in a bid to improve its investment climate, Angola has introduced a broad range of reforms to its corporate regulations, including privatization and new licensing agreements, as well as made improvements to its infrastructure. FDI inflows to Angola from the region are shown in figure below. In 2004, Mauritius was the leading regional source of FDI flows to Angola, amounting to US$23 million and accounting for 60 percent of total inflows from the Southern Africa region. Mauritius was followed by Zimbabwe and Mozambique, which invested US$7.3 million and US$5.5 million, respectively, in Angola in the same year. D. Madagascar Until the political crisis in Madagascar during the first three months of 2009, the country had seen its inflows of FDI increase dramatically over the previous few years. Inflows to the country were exceptionally high in 2005–2007 as a result of foreign investments in nickel exploitation projects, particularly from developed countries. Another driver of this increase has been foreign investment in Madagascar’s free zones, particularly in clothing production for export. The figure below, left, shows that Madagascar’s total FDI inflows (from all sources) increased from just US$50 million in 2002 to over US$400 million in 2007. FDI inflows from Southern Africa have grown even more quickly. From 2002 to 2007, Madagascar’s FDI inflows from Southern Africa increased from US$7 million in 2002 to reach US$73 million in 2007. The sectoral distribution of Madagascar’s FDI inflows from Southern Africa suggests that the majority of FDI inflows to Madagascar from the region went into its manufacturing sector, mainly in the form of textiles and clothing companies from Mauritius shifting production to Madagascar. 45 Source: Isik (2009) based on data from Banco de Moçambique, Bank of Tanzania, Government of Angola, and Bank of Madagascar Annex Table 1: Distribution of Sample by Country and Sector Textiles Agribusiness Mining & Wood & & Chemical Metal & Hotel & Freight & Other & Food Minerals Furniture Apparel & Paper Machinery Construction Retail Restaurant Logistics Services Total Botswana 4 1 4 9 6 5 13 14 6 3 9 74 DRC 19 5 15 6 1 1 5 19 71 Lesotho 3 1 5 8 17 3 4 41 Malawi 14 1 1 21 1 3 3 23 3 1 71 Mozambique 16 2 4 10 6 20 3 8 1 4 74 Namibia 8 3 9 6 6 11 12 5 3 4 3 70 South Africa 10 3 3 13 6 5 9 9 2 4 7 71 Zambia 16 7 2 7 3 6 7 12 5 1 4 70 Total 90 23 43 80 29 51 69 90 23 13 31 542 Source: Southern Africa MIC Growth Spillover Country Case Studies 46 While FDI inflows are expected to be less volatile than other private capital flows, the growth in FDI inflows to Africa is expected to slow down. FDI inflows to Africa are expected to continue to grow in 2008 but at a lower rate (16.8%) (UNCTAD 2009). Nevertheless, the impact of the global financial crisis on FDI is an increasingly significant concern in African countries, with many planned investments being postponed or cancelled. For example, the proposed takeover of a South African mining conglomerate by Xstrata was abandoned. In DRC, most of the foreign mining companies have reduced their scale of operations by postponing or abandoning their investment plans. Moreover, Malawi is about to lose a big uranium project. In March 2009, Tanzania reported that a $3.5 billion investment in aluminum smelting had been postponed and a $165 million nickel mining and extraction project had been rescheduled.17 After a significant fall in 2009, FDI inflows to South Africa are projected to bounce back gradually over the next five years. Figures 4.1 and 4.2 show projected total FDI inflows and outflows for South Africa and Mauritius for the period 2008–13. For South Africa, inward flows of FDI were projected to fall by 25 percent from US$8.3 billion in 2008 to US$ 6.3 in 2009. FDI inflows are expected to pick up again from 2010 onward and expected to reach US$ 7.6 billion in 2013. South Africa’s outward FDI flows, however, are projected to increase, albeit very steadily, over the next four years. Outflows in 2008 are estimated to be around US$3.8 billion and are projected to increase by around 10 percent to reach US$ 4.2 billion in 2013. Source: IMF Article IV Consultations Source: IMF Article IV Consultations In Mauritius, the outlook is more optimistic, with FDI inflows projected to increase over the course of the next four years. Figure 4.2 shows that in 2008 FDI inflows were estimated to have reached US$450 million and were projected to increase significantly by over 38 percent, reaching US$725 million the next year. This increase in inflows to Mauritius was projected to continue at an average annual rate of 12 percent, culminating in US$1.2 billion in 2013. Mauritius’s outward FDI flows were also projected to rise over the same period, increasing almost 30 percent from US$ 75 million in 2008 to US$121 million in 2013. Some mineral-rich countries in Southern Africa, such as Angola and Botswana, will experience significant reductions in FDI inflows. Among other SSAR countries, net FDI flows to Angola were estimated to be around US$4.5 billion in 2009, but to fall by almost 50 percent to US$2.2 billion in 2010. Net flows were projected to pick up again in 2011 by 20 percent (US$2.7 billion) (see figure x). Botswana’s net FDI flows in 2009 were estimated to have reached US$830 million in 2009 and projected to fall by around 10 percent to US$750 million in 2011. Net FDI flows to Madagascar, estimated to be US$390 in 2009, are predicted to fall significantly by over 50 percent to US$188 million in 2011. Other countries will have rather stable flows of FDI, at least on the basis of a macroeconomic projection. Net flows to Mozambique are projected to stay relatively stable over the next three years, increasing from US$471 17 Macias and Massa (2009) 47 million in 2009 to US$534 in 2011. Similarly, Zambia, Namibia and Tanzania’s net flows are projected to increase gradually over the same period. Net FDI flows of the smallest two countries in Southern Africa, Lesotho and Swaziland, are projected to remain relatively stable over the next three years. In Swaziland, estimated net flows of US$33 million in 2008 were expected to increase by just 5 percent to reach US$35.5 million in 2011.Similarly, in Lesotho growth of net FDI flows will reach just 4 percent, rising from US$ 58 million to US$ 60 million from 2008 to 2011. (Figure 4.4) Source: IMF Article IV Consultations Source: IMF Article IV Consultations Given that the Southern African subregional economy is increasingly integrated through cross-border trade and investment, impacts from the global financial crisis may not be contained within individual countries, but may well generate secondary effects in neighboring countries through reduction in subregional trade and investment. While macro projections of the expected level of inward FDI flows may be optimistic, except for several mineral rich countries, it is important to note the expectation that the crisis on individual countries either in the form of reduced FDI inflows or some other forms could have negative impacts on their neighboring countries through reduced intra- regional trade and investment. A few SADC countries have already been hit by the crisis through multiple channels, including South Africa. What needs to be carefully monitored is how the impact on South Africa has been partially transferred to its neighboring countries through South Africa FDI in those countries, given significant dependence on some SASR economies on intra-SASR FDI (see figure 2.10 and table 2.2). In addition to trade and investment, intra-regional remittance flows are also affected. The country that receives the highest share of GDP in remittances (28%) is Lesotho. Most of these originate in South Africa, an economy that contracted by 6.4% (on an annualized basis) during the first quarter of 2009. 48