THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 77329 3: 545-70 Household Saving in China Aart Kraay China, in recent years the world's largest and fastest growing economy, also has na- tional saving rates that are among the highest in the world. This article considers a variety of statistical issues that cloud the measurement of aggregate and household sav- ing in China. It also provides new empirical evidence on the importance of intertemporal considerations in explaining the variation in household saving across China's provinces. China, which has been the world's largest and fastest growing economy for the past two decades, has saving rates that are among the highest in the world. Since it took the first steps toward economic reform in 1978, China's gross national saving rate has averaged 37 percent of gross national product (GNP), and its economy has expanded at a remarkable 9 percent a year in per capita terms, lifting 200 million Chinese out of absolute poverty. Rapid growth has been accompanied by an equally rapid structural transition, as China has progressed from a primarily rural, agrar- ian, and state-run economy to a more urban and industrial society in which most economic interactions are governed by market forces. These changes have had profound consequences for saving. Consider China's transition from plan to market. Before 1978 China's high saving rates, averag- ing 27 percent of GNP, were engineered by state fiat. Distorted relative prices favored industry, concentrating profits in state-owned enterprises, which then could be directed toward the state's investment priorities. Household incomes were very low, and households accounted for only a small proportion of total saving. Economic reforms since 1978 have transformed public and private sav- ing. Price reform and vigorous competition from collectively owned and pri- vate enterprises have eroded the operating surpluses of state industry and, with them, the importance of public saving. In contrast, rising household incomes and rising household saving rates have made household saving newly promi- nent, with households contributing between a quarter and half of total savings. The transition to a market economy has not only given new importance to households' voluntary consumption and saving decisions, but has also shaped the economic environment in which these decisions are made. In rural areas the collapse of the agricultural commune system and the emergence of more secure Aart Kraay is with the Development Research Group at the World Bank. His e-mail address is akraay@worldbank.org. This article was prepared as part of the World Bank research project, "Saving Across the World: Puzzles and Policies.* The author is grateful to the project's organizers, Norman Loayza, Klaus Schmidt-Hebbel, and Luis Serven, for their encouragement and to Nick Lardy, lihong Wang, the editor of this journal, and three anonymous referees for their helpful discussions. O 2000 The International Bank for Reconstruction and Development / THE WORLD BANK 54S 546 THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 property rights to land and buildings sparked a boom in rural household saving in the form of investment in land and housing. In addition, the proliferation of bank branches even in remote areas and the rapid growth of rural industry have given rural households access to a broader range of assets. Urban households, once covered by generous cradle-to-grave benefits through employment in state- owned enterprises, are finding their futures increasingly uncertain as the finan- cial performance of their employers has weakened. At the same time, growth in the nonstate sector has meant that a small but increasing share of urban workers no longer enjoy the same generous benefits afforded their counterparts in state industries. These factors likely have given urban households strong new motiva- tions to save. Furthermore, as incomes have risen from low levels, especially in rural areas, people are devoting a smaller share to meeting subsistence consump- tion requirements, leaving more income available to save. Against this backdrop, this article makes two contributions. The first, although mundane, is important, since it concerns the measurement of saving. In China, as in many developing countries, substantial statistical difficulties arise when mea- suring saving. In China these difficulties are particularly acute. I discuss discrep- ancies between aggregate saving and its components and between alternative measures of household saving. I examine the implications of these discrepancies for views of saving in China and the relevance for China of standard forward- looking models of consumption and saving. In particular, I provide new evidence on how expectations of future income growth and future income uncertainty, as well as demographic variables and proxies for the importance of subsistence consumption, explain interprovincial differences in household saving rates. Given China's size and its high saving rates, it is not surprising that in recent years considerable theoretical and empirical effort has been devoted to under- standing its saving behavior. This research can be divided into two broad strands. The first emphasizes the relevance for China of traditional equilibrium theories of saving, ranging from simple Keynesian consumption/saving functions to vari- ants of the life-cycle and permanent-income hypotheses.1 The second argues that equilibrium theories of saving are unlikely to be relevant in an economy in tran- sition from plan to market. Instead, disequilibrium factors, especially shortages and rationing in goods and credit markets, explain China's saving experience.2 1. Examples of these include estimates of simple Keynesian consumption or saving functions (Wong 1993, Qian 1988, and World Bank 1988), tests of various implications of the permanent-income hypoth- esis (Chow 1985, Qian 1988, Wong 1993, and Wang 1995), and tests of the life-cycle model (Jefferson 1990, Pudney 1991, Dessi 1991, and Modigliani and Cao 1996). Bai, Zhu, and Wang (1993), Yusuf (1994), Zhang (1994), and Arora (1995) offer interesting descriptive analyses of saving in China, but they do not formally test alternative theories of saving. 2. See Feltenstein, Lebow, and van Wijnbergen (1990) and Ma (1993), as well as indirect evidence given by estimates of the effects of rationing in demand systems provided in Wang and Chern (1992); Fleisher, Liu, and Ii (1994); and Wang and Kinsey (1994). Direct survey evidence on the availability of consumer goods can be found in Hussain and others (1990). Naughton (1987) offers a critical review of this evidence and suggests that involuntary saving is unlikely to be empirically important other than in the short period immediately following reform. Kraay 547 These two hypotheses have been subject to empirical scrutiny using both aggre- gate and household-level data, with varying success. In addition to its treatment of data issues, this article differs from much of the existing literature on China in that it directly tests the importance of expectations of future income growth and future income uncertainty, following the approach suggested by Carroll and Weil (1994) and Carroll (1994). I. MEASURING SAVING IN CHINA National accounts data show that saving in China has been extraordinarily high over the past 20 years. In this section I briefly review this performance and present rough estimates of the composition of national and household saving. This exercise highlights a number of data problems, frequently ignored in empiri- cal work, that have important implications for understanding saving in China. I then describe the panel of provincial saving data taken from household surveys, which I use in section II. Aggregate Saving Official statistics for China reveal high and rising saving rates and rapid growth over the past 30 years. Between 1965 and 1977 gross national saving rates aver- aged 27 percent of GNP; they climbed to an average of 37 percent between 1978 and 1995. Growth of GNP per capita averaged 6 and 9 percent, respectively, during these periods, although the latter growth rate is probably overstated by 1 to 2 percentage points. China's saving and growth performance is similar to that of other rapidly growing economies in East Asia, although China reached its high saving rates at much lower income levels.3 More striking is the difference between China's saving experience and that of the transition economies of Eastern Europe and the former Soviet Union. Whereas China weathered the early stages of transition with only a small drop in its na- tional saving rate, many of the other transition economies saw sharp declines in national saving rates, mirroring the well-documented collapse of their output.4 The resilience of China's aggregate saving rate throughout the transition process reflects the fact that household saving increased rapidly during the early years of reform, offsetting the decline in public saving directed through the planning and state-enterprise apparatus. In contrast, the collapse in public saving in many Eu- ropean transition economies was paralleled by sharp declines in household saving. More broadly, China's saving rate remains unusually high relative to interna- tional experience, even after controlling for some of the determinants of saving. To illustrate this point, I estimate a cross-section regression of gross national saving rates in a large sample of countries on a set of variables that Loayza, Schmidt-Hebbel, and Serven (1998) identify as the "core" determinants of sav- 3. A more descriptive discussion of China's growth and saving experience can be found in World Bank (1997a). 4. See, for example, Deniier and Wolf (1998). 54S THE WORLD BANK ECONOMIC REVIEW, VOL 14. NO. 3 Table 1. Cross-Country Determinants of Saving Variable • Coefficient Standard error Constant -0.050 0.071 Real interest rate 0.012 0.102 Urbanization ratio -0.041 -0.038 Log (real GNDI per capita) 0.039* 0.009 Growth in real GNDI per capita 0.991* 0.260 M 2 to GNDI 0.098* 0.031 Old-age dependency ratio -0.600* 0.159 Young-age dependency ratio -0.028 0.048 Terms of trade -0.035 0.029 Inflation rate -0.032 0.134 Domestic credit flow to GNDI 0.076 0.292 'Significant at the 1 percent level. Note: The dependent variable is gross national saving/gross national disposable income (GNDI). For variable definitions, see Loayza, Schmidt-Hebbel, and Serven (1998). Source: Loayia, Schmidt-Hebbel, and Serven (1998). ing (table I). 5 1 then express each of the explanatory variables for China as a deviation from the average across all countries and multiply these deviations by the estimated coefficients. This yields a measure of the extent to which differ- ences in China's saving rate from that of a "typical" country can be attributed to differences in the known determinants of saving. China's saving rate is unusually high given its income level, as indicated by the negative contribution to the predicted saving differential of the natural log of real income per capita (figure 1). In contrast, China's high growth rate and financial depth, as well as its relatively low old-age dependency ratio (people 65 years and older as a proportion of the total population) contribute positively to China's saving differential. Most important, even after controlling for these determinants of saving, China remains a large outlier in the regression, which underestimates China's saving rate by nearly 10 percentage points.* What underlies these high saving rates? I decompose gross national saving in China since 1978 into public saving, corporate saving, and household saving (figure 2). The data for this decomposition are given in table A-l. This decompo- sition highlights the changing role of government and household saving over the course of China's economic reform, and it draws attention to a number of anoma- lies in the data that cloud the measurement of saving in China. Public saving is defined as the current balance on the budgetary and extra- budgetary accounts of the central and local governments. Since extrabudgetary resources consist primarily of the operating surpluses of state-owned enterprises and revenues from a range of informal levies, they provide a rough measure of total public sector saving.7 Because I do not have data on the current balances of 5.1 am grateful to these authors for sharing their data. 6. This residual is statistically different from zero at the 5 percent level and is the third largest in the sample (only the residuals of Togo and Bahrain are larger). 7. A more detailed decomposition of general government and public enterprise saving for 1987-94 can be found in World Bank (1996: annex 3). Fiscal decline during the reform period is documented at length Kraay 549 Figure 1. Accounting for China's Saving Rate Residual Domestic credit Inflation rate Terms of trade Young-age dependency ratio Old-age dependency ratio Real per capita income growth -0.1 -0.05 0 0.05 Contribution to predicted saving rate differential Note The figure plots China's deviation from the mean of the entire sample of countries for each of the indicated variables, multiplied by the coefficient estimated from a cross-country regression of gross na- tional saving on these variables. Source: Author's calculations using data from Loayza, Schmidt-Hebbel, and Seven (1998). the nonstate sector, I estimate corporate saving as the total investment in fixed assets of the nonstate sector, excluding investment by individuals and by foreign- owned enterprises.8 This requires the assumption that investment of the nonstate sector is financed primarily out of retained earnings. Although there is some evidence in favor of this assumption, anecdotal evidence also suggests that a significant portion of investment, particularly that made by collectively .owned enterprises, is financed by direct and unrecorded contributions from workers. To the extent that these contributions are important, this proxy double counts a portion of saving that is attributed more appropriately to households. The mea- in World Bank (1995). Barandiaran (1997) provides a more detailed flow-of-funds analysis of the compo- sition of saving. 8.1 include individual investment in household saving. I meature foreign investment as investment in fixed assets by foreign-funded and overseas Chinese-funded enterprises. These data are available in the China Statistical Yearbook only beginning in 1993. 550 THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 Figure 2. The Composition of National Saving in China, 1978-95 Percentage of GNP 45 OH 1 1 1 1 1 1 1 Source World Bank (1997a, 1997b) and China, State Statistical Bureau (1996). Data are given in table A-l. surement of household saving also presents a number of difficulties (discussed more fully below). For the purposes of the decomposition in figure 2,1 employ my preferred measure, which is the difference between income and expenditures from China's household surveys plus the investment of individuals in fixed assets. Figure 2 has two striking features. First, the decline in public saving is largely due to the sharp decline in the surpluses of the state-owned enterprise sector that has accompanied China's transition to a more market-oriented economy. Before reform, distortions in the pricing system and discrimination against nonstate in- dustry concentrated surpluses in the state sector, from where the state could readily allocate them to its own investment priorities. Since the initiation of reform, however, price reforms and competition from a vigorous nonstate sector have combined to shrink dramatically the surpluses of state enterprises and, with them, the share of the public sector in total saving. The second feature of figure 2 is the substantial and widening residual that remains after direct measures of public and private saving have been subtracted from total saving. Although large residuals in saving decompositions such as these are typical in developing (and often in industrial) countries, the size of China's discrepancy is disconcertingly large, calling into question the magnitude Kraay 551 Figure 3. The Composition of Household Saving in China, 1978-95 Survey-based measure Pacemage of GNP Asset-based measure 20 Source: World Bank (1997a, 1997b) and Chjna, State Statistical Bureau (1997). Data are given in table A-2. (although probably not the direction) of the increase in saving since the begin- ning of reform in 1978. One important factor contributing to this residual is the unusually large posi- tive contribution of inventory accumulation to gross national saving, which is refleaed in the total but is not included in the estimate of private saving reported above. In most countries changes in stocks are small and generally average to zero over time. But in China they have been positive and large, averaging 6.5 percent of GNP between 1978 and 1995. It is unclear why changes in stocks have been so large in China. Anecdotal evidence suggests that it reflects in part the accumulation of output produced by state-owned enterprises that cannot be sold. Although this constitutes saving inasmuch as it represents forgone current con- sumption, it is misleading to think of this output as saving in the usual sense because it cannot be translated into future consumption. Household Saving Two measures of household saving have been used in academic research and policy discourse in China (figure 3). The first is based on the difference between household income and expenditures, as reported by China's household survey (described in more detail in the appendix). Since this survey does not distinguish between households' current and capital expenditures (counting both as con- sumption), I arrive at household saving by augmenting the difference between income and expenditures with a national accounts measure of investment made by individuals.9 I also construct another measure of household saving, derived from changes in aggregate stocks of assets held by households (right panel of figure 3). These changes consist of the change in household saving deposits, net subscriptions to 9. Investment nude by individuals is not reported separately prior to 1983. For the purposes of figure 3,1 assume that At share of individual investment in total saving is constant at its 1983 value for earlier years. 552 THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 government bonds, tie change in currency in circulation held by households, and investment by individuals.10 The measure based on household surveys indicates that household saving rose sharply from 7 to 15 percent of GNP during the first six years of the postreform period, but then declined and stabilized at around 10 percent of GNP (roughly one-fourth of total saving).11 In contrast, the asset-based measure,of saving indi- cates that household saving has increased steadily from 5 to 20 percent of GNP, or from roughly one-seventh to one-half of gross national saving. The main source of the discrepancy between these two measures is the rapid growth of household deposits in the banking system, which accounts for the bulk of the increase in the second measure of saving. Ordinarily, one would expect that household income less expenditures would exceed the change in deposits, as households distribute their saving among deposits and other assets. Yet since 1986 the converse has been true, with the change in household saving deposits exceeding household saving by a large and rising margin. Several factors may have contributed to the divergence between the change in household saving deposits and household income less expenditures. First, the rapid development of China's financial sector since the initiation of economic reform in 1978 has improved households' access to banking institutions, espe- cially in rural areas.12 This is likely to have contributed to the growth of deposits simply by encouraging a shift in die composition of household saving from physical commodities, such as grain, to deposits. Second, in the late 1980s and early 1990s inflation-indexed saving deposits offering very attractive real returns were made available to households, and there is some evidence that significant volumes of corporate saving found their way into these instruments illicitly. These two rea- sons suggest that using the deposit-based measure of household saving might overstate actual household saving. However, to the extent that the household survey underestimates income and to the extent that the propensity to save out of unrecorded income is positive, the survey-based measure will underestimate the level of saving. If this omitted sav- ing is held in the form of deposits, it can help to account for the discrepancy between the two measures. This explanation is plausible, since growth in house- 10. It is difficult to determine household cash holdings. Following Qian (1988), I assume that 85 percent of currency in circulation is held by households. Mehran and others (1996: 38) report a lower share of 77 percent. In both measures I also am assuming implicitly that, in the aggregate, individual investment (a substantial portion of which is investment in housing in rural areas) is finanrrd solely by household saving. 11. Although variants of these two measures have been used in many studies of household saving in China (tee section I), the discrepancy berweer/them has mostly escaped attention (see Xie 1995 for an oblique reference to this issue). 12. For example, the number of branches of the Agricultural Bank of China, the smallest of China's four large state commercial banks, more than doubled between 1981 and 1995, from 29,000 to 67,000. See also World Bank (1995: annex 3 J2) for a description of the prolfieration of urban credit cooperatives in Shanghai over the past decade; see Kumar and others (1997) for a description of the burgeoning net- work of nonbank finanrial institutions. Honohan (1995) provides an overview of international evidence on the role of institutional factors, such as access to banks, in mobilizing household saving. Kraay S53 hold income per capita recorded in the household survey lagged behind growth in GNP per capita by about 2.5 percent a year in nominal terms between 1985 and 1995. However, even if the growth rates taken from the national accounts are correct, and even if saving out of unrecorded income occurs at the same rate as saving out of recorded income, only 2 percentage points of GNP would be added to the household survey-based estimate of saving in 1995—still too little to ac- count fully for the difference between the two measures.13 How much does this discrepancy matter? On the one hand, it is not surprising that household survey measures of saving do not correspond closely to aggregate measures. Even in industrial economies with strong statistical systems, there are often large gaps between survey-based measures of household deposits and those reported by the banking system.14 However, the magnitude of the discrepancy between these two measures and their diverging trends make this issue of some concern for the interpretation of saving behavior in China. At a basic level the gap between these two measures calls into question the overall importance of household saving in understanding aggregate saving in China. The divergent trends also have implications for different explanations of household saving behavior. For example, one might find support for the hypothesis of involuntary saving due to scarcity or rationing of consumer goods using the household survey-based measure of saving (which first rises and then declines), but not using the deposit- based measure of saving (which rises continuously), given that shortages of con- sumer goods have declined considerably since the mid-1980s. For the remainder of this article I employ the measure of saving based on the household survey, since it probably gives a more accurate picture of household saving rates. China's household survey has been scrutinized closely by a number of outside users, who, while noting several difficulties, generally conclude that its quality is fairly high.15 Two drawbacks of this choice are that the individual investment data required to construct these series are available for a shorter time period than the income and expenditure data from the household survey (1983- 95 compared with 1978-95) and that investment data disaggregated by province are available only after 1985. In order not to lose the data from before 1985,1 take as my basic measure of the household saving rate income less expenditures from the household survey, for which I have a reasonably complete panel for 30 provinces over the period 1978-95. 13. Cumulating 2.5 percent annual growth over 10 yean would raise the income-less-expenditures component of the household survey estimate by 28 percent, from around 6 percentage points of GN? to 8 percentage points of GNP in 1995. 14. See, for example, the discussion in Brandolini and Cannari (1994). They note that although esti- mates of income and expenditures based on the household survey generally correspond fairly well with national income accounts, there are much larger discrepancies in estimates of wealth. They note that Canada's Survey of Consumer Finances understates bank deposits by as much as 60 percent, whereas the corresponding U.S. survey understates deposits by 44 percent. 15. See, for example, Chen and Ravallion (1996) and World Bank (1997b), as well as the more de- tailed description of the survey in the appendix. 554 THE •WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 A shortcoming of this measure is, of course, that it does not include household capital expenditures, which, particularly in rural areas, are an important compo- nent of household saving. For the shorter period for which data are available, I construct two other measures of saving to remedy this deficiency. The first sim- ply adds individual investment to the basic measure of saving. As noted earlier, however, it is difficult to distinguish between household investment and total private investment, given the close ties between many collectively owned enter- prises and their employees. I therefore also construct a broad measure of house- hold saving that includes investment by collectively owned enterprises, recogniz- ing that this measure is close to the measure of private, rather than household, saving. I then use these two measures to check the robustness of the results ob- tained using the basic measure for the periods in which the alternative measures are available.16 Given that there is Likely to be considerable measurement error in all three measures of saving, I focus on long time-series averages of saving rates, wherever possible, in order to mitigate the effects of the time-varying component of this measurement error. Household Saving Rates, Income, and Growth: Stylized Facts I document the stylized facts on average household saving rates, household income, and growth in a panel spanning China's 30 provinces between 1978 and 1995 in order to establish a set of facts with which explanations of household saving behavior should be consistent. The evolution over time of national aver- ages of household income per capita, growth of household income per capita, and household saving rates shows three interesting regularities (figure 4). First, there is a very close high-frequency time-series correlation between growth of income per capita and saving rates in both rural and urban households, averag- ing 0.49 and 0.52, respectively. Second, the relationship between saving and lev- els of income per capita differs markedly in the urban and rural data. In urban areas saving rates and income per capita generally rose together, with a time- series correlation of 0.82. But in rural areas between 1984 and 1992, incomes remained stagnant, while saving first declined sharply and then rose again, mak- ing an S-shaped pattern over time. The time-series correlation between the two variables is essentially zero. Third, household saving rates in rural areas are substantially higher than those in urban areas. Between 1978 and 1995 rural saving averaged 16 percent of household income, whereas urban saving rates averaged 5 percent. Although conceptual differences between the urban and rural household survey measures of income undoubtedly play a role (see the appendix), this difference is likely to reflect the distinct institutional and social environments in urban and rural areas. In particular, urban households enjoy access to highly subsidized housing, edu- cation, and health care, and most urban households are covered by generous (although unfunded) pension schemes through their employers. Few rural house- 16. These results are available on request. Kraay SSS Figure 4. Household Saving Rates, Income, and Growth in China, 1978-95 Urban households loon 1990 yum . Rural households 2J0O Per opfe> tnconie 2,000 (risbnk) ..- 1.500 \ GKMh \ me 1,000 IS 111 a 8 S Source World Bank (1997a, 1997b) and China, State Statistical Bureau (1997). Data are given in table A-2. holds enjoy these benefits, and most rely primarily on their own saving and their children for support in old age. Given these differences, in the environments in which rural and urban households make their saving and consumption decisions, I consider the rural and urban data separately wherever possible. Saving rates, income levels, and income growth vary widely across China's 30 provinces, a fact that I exploit in the remainder of the article. Rural household saving rates range from a minimum of 9 percent (Hunan) to a maximum of 28 percent (Tianjin), whereas urban household saving rates range from 2 percent (Guizhou) to 14 percent (Tibet). In contrast with the time-series evidence in fig- ure 4, cross-sectional correlations between saving rates and growth, and between saving and income per capita, are modest (table 2). The correlation between saving rates and income per capita is only 0.26 in urban and rural areas, and the correlation between saving rates and growth is 0.05 in urban areas and 0.14 in rural areas. A second interesting feature of the saving-growth nexus is that there is weak evidence of a negative correlation between saving rates and future growth of Table 2. Correlations of Household Saving Rates with Income and Growth across Provinces in China Income Growth of income per capita Correlation per capita Contemporaneous Future Lagged Cross-sectional Urban 0.26 0.05 -0.13 0.09 Rural 0.26 0.14 -0.14 0.16 Time-series Urban 0.81 0.68 0.05 -0.33 Rural 0.14 0.21 -O.20 0.08 Note: Data are from a panel of three six-year averages for 30 provinces. Cross-sectional (time-series) correlations are correlations of variables in deviations from period (province) means. Past (future) growth refer* to average growth during the previous (next) six-year period. Source: Author's calculations. SS6 THE WORLD BANX ECONOMIC REVIEW, VOL. 14, NO. 3 income per capita, both in the cross-sectional and time-series dimensions for ru- ral households and in the cross-sectional dimension for urban households. This is also apparent from figure 4, which shows a sharp rise in rural household sav- ing during the first six years of the reform period, preceding six years of nearly stagnant incomes. Thus a first glance at the data on household saving, income per capita, and growth reveals a number of interesting regularities that can help to identify promising explanations for household saving in China and caution against oth- ers. First, saving rates and levels of income per capita exhibit a modest positive correlation in a cross section of provinces and a considerably stronger time- series correlation within provinces for urban households. This lends credence to the importance of subsistence consumption in household saving decisions, with average saving rates rising as household income progresses beyond the bare minimum required for survival. Second, despite the strong time-series cor- relation between saving and growth documented in figure 4, saving and con- temporaneous growth rates are much less strongly correlated in the cross sec- tion of provinces. This cautions against recourse to the prediction of the life-cycle hypothesis that high growth leads to high saving as the saving of the young outweighs the dissaving of the old. Finally, there is weak, but suggestive, evi- dence that saving rates are negatively correlated with future income growth. This points to the prediction of standard forward-looking behavior in which households facing high expected future income growth will save less than house- holds facing low growth, as the former consume more in anticipation of higher future income. II. EVIDENCE ON SAVING AND FUTURE INCOME EXPECTATIONS In this section I present new empirical evidence on the relevance of standard forward-looking models of consumption and saving behavior for China, using the panel of rural and urban provincial average saving rates. The methodology I employ follows closely the work of Carroll and Weil (1994) and Carroll (1994). These authors note two fundamental predictions of standard forward-looking models of consumption and saving. First, expectations of higher future income (or future income growth) will lead to higher (lower) present consumption (sav- ing), as households smooth their consumption in the face of a rising income pro- file. Second, higher future income uncertainty will lower (raise) current consump- tion (saving) to the extent that households have precautionary saving motivations. These predictions can be tested empirically by regressing saving rates on suitable proxies for expected future income and the variability of future income. Consis- tent with the theory, I find that expected future income growth is negatively associated with saving for rural households, but not urban households. How- ever, proxies for future income uncertainty are not significantly associated with higher current saving and, surprisingly, often enter negatively. Kraay 557 Empirical Framework To assess the impact of expected future income growth on current saving be- havior, I estimate the following specification: (1) Sft = Po + P A f e * i ] + K*ft + e* where s d is the average household saving rate in province i at time t; £ f t?^ + i] is the expected growth rate of household income per capita in province i between periods t and t + 1 based on information available at time t, xa is a vector of other potential determinants of saving rates; Ej, is a disturbance term; and t = 1,2,3 indexes the three six-year periods for which data are available. The coefficient pi captures the effect of expected future income growth on current saving and is predicted to be negative under the null hypothesis of forward-looking saving behavior. As Carroll and Weil (1994) note, the assumption of rational expecta- tions suggests that a good proxy for expected future income growth is actual future income growth, since rational expectations imply that expected income growth is equal to actual income growth plus an error term, that is Et|jfo+i] = £<>i + vif However, the presence of measurement error in this proxy variable, and the possibility that this measurement error is correlated with saving, implies that I have to instrument for future income growth in order to identify the pa- rameter pV Given a vector of instrumental variables zu that satisfy E[Zj/(gj,t+i + Vn)] * 0 and E[zu^it] = 0, and the assumption that the variables in Xj, are exog- enous, the model is overidentified and can be estimated using two-stage least squares. Since the first-stage regression in this procedure is simply a regression of future growth on current variables, it is natural to turn to variables that are standard in growth regressions as candidate instruments. As instruments for future growth, I use current income, the share of state-owned enterprise em- ployment in total employment, and a dummy variable taking on the value 1 if the province is located on China's coast and 0 otherwise. Current income can be thought of as capturing convergence effects, which have been found to be significant in a number of studies of growth in China's provinces.17 The coastal dummy is highly significant in the first-stage regressions, picking up the faster growth in coastal provinces, which is due in part to the preferential policies granted to those regions and their favorable geographical location. Finally, the share of state-owned enterprise employment is intended to proxy for growth- inimical distortions and generally enters negatively in the first-stage regressions. Standard tests of overidentifying restrictions permit me to determine the valid- 17. See for example, Jian, Sachs, and Warner (1996) and Chen and Fleisher (1996). Both of these studies use provincial gross domestic product per capita rather than die household survey measures of income per capita that I use. S58 THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 ity of the identifying assumption that these variables affect saving only through their effects on growth. 18 This procedure has the natural interpretation that agents form their expec- tations of future income growth using a simple cross-sectional growth regres- sion. This feature is somewhat more satisfying than the implicit assumption of backward-looking expectations used to justify proxying permanent income with a moving average of past income (as Qian 1988 does for China). It is also more appealing than using the predicted values of cross-sectional regressions of in- come on household-specific characteristics, such as age and education (as Wang 1995 does for China), since this methodology implicitly assumes that households do not expect any changes in their economic environment that will affect, for example, returns to their education. Given the rapidly changing economic envi- ronment in China during the period under consideration, this assumption is not very satisfying. I augment the regressions with two additional variables that are likely deter- minants of saving. I include the share of food consumption in total consumption expenditures as a proxy for the effects of subsistence consumption. Other au- thors have noted that people near subsistence levels of consumption will have lower average saving rates than richer people, as the share of their income avail- able for smoothing consumption intertemporally is smaller.19 Accordingly, this variable is expected to enter with a negative sign in the saving equation. I also include the ratio of population to employment as a proxy for the dependency ratio. Although this is a rather crude proxy for a range of demographic determi- nants of aggregate saving rates (since it conflates demographic variables with labor force participation decisions), to the extent that low values of this ratio reflect a high ratio of prime-age earners to the total population saving for their retirement, one might expect this variable to enter negatively into the saving equation.20 To assess the effects of future income uncertainty on current saving, I use the same methodology described above, simply augmenting the regressions with a proxy for future income uncertainty. Theories of precautionary saving suggest that variability in the component of income that cannot be forecast is the rel- evant measure of income uncertainty. I construct this component of (the log of) income as the one-year-ahead prediction errors from two specifications of in- 18. Thii is particularly important in die case of income, which may be correlated with saving directly, for two reasons: it appears in the denominator of the left-side variable and is measured with error, and it may have a direct influence on saving because of, for example, subsistence consumption. However, these concerns are not as serious as they might seem. First, I use long (six-year) averages of all variables, which should help to alleviate problems of measurement error. Second, I include the share of food in total con- sumption as one of the explanatory variables. In any case, in almost all specifications the overidentifying restrictions are not rejected at conventional levels of significance. 19. See, for example, Gersovitz (1983) for a theoretical exposition and Ogaki, Ostry, and Reinnart (1995) and Atkeson and Ogaki (1996) for recent empirical contributions. 20. Unfortunately, further disaggregations of this variable into its demographic and labor force partici- pation components, and by old and young age, are not available by province. Kraay S59 come: a random walk with drift (in which case the prediction errors are simply demeaned income growth itself) and an autoregressive process of order 1 [AR(1)] around a deterministic trend. 21 1 then compute the standard deviation of both of these measures over the three six-year periods to obtain two measures of income uncertainty. Under the same assumptions of rational expectations, I can use appropriately instrumented actual future income uncertainty as a proxy for expected future income uncertainty. However, the choice of instruments for future income un- certainty is less obvious than the choice of instruments for future income growth. For simplicity, I use the same set of instruments, while recognizing that they are probably weaker for income uncertainty than for growth. Indeed, the first-stage regressions typically perform worse than the first-stage growth regressions. How- ever, the coastal dummy typically enters negatively in the first-stage regressions (significantly in the case of rural income uncertainty), as does the share of state- owned enterprise employment, suggesting that these instruments do have some predictive power for future income uncertainty as well as future income growth. Estimation Results I carry out the regressions of saving on expected future income growth, for rural and urban households, using a panel of three six-year averages for China's 30 provinces. Since expected future income growth is an explanatory variable for current saving, the model can be estimated only for the first two subperiods, 1978-83 and 1984-89. In addition to the explanatory variables noted above, the regressions also include period intercepts, so that the regressions exploit only the cross-sectional variation in the data.22 I also report results for the full sample of provinces, as well as for a subsample of higher-income provinces. To the extent that residents of poor provinces are more likely to face borrowing constraints or are near subsistence levels of consumption, it is reasonable to expect a priori that future income growth will have a stronger effect on current saving in richer prov- inces. Splitting the sample provides a crude control for these effects. The most interesting feature of the results is that expected future income growth enters negatively and significantly for rural households, as predicted by standard forward-looking models of consumption and saving (table 3). The magnitude of the coefficients suggests that the effects are economically significant as well. A 1 percentage point decline in expected future income growth results in slightly more than a 1 percentage point increase in the saving rate, as households reduce con- sumption and increase saving in anticipation of slower future income growth. 21. In principle, one can test to determine which specification is more appropriate. However, given the well-known low power of tests that might discriminate between these two alternatives, it seems prudent to consider both measures. 22. It is possible that the results are misspecified because of the absence of controls for unobserved province-specific effects that are correlated with the explanatory variables of interest. However, simple diagnostic tests do not lead to a rejection of the null hypothesis that there is no first-order serial correlation in the residuals of almost every specification reported, casting doubt on the importance of province- specific effects. 560 THE WORLD BANK ECONOMIC REVIEW, VOL 14, NO. 3 Table 3. Saving and Expected Future Income Growth in China Full sample High-income sample* Variable Urban Rural Urban Rural Future income growth 1.857 -1.042" 0.128 -1.090" (1.521) (0.504) (0.493) (0.506) Share of food in total consumption -0.401 -0.374* -0.094 -0.776* (0.263) (0.145) (0.150) (0.222) Dependency ratio 0.115 0.046 0.033 0.040 (0.094) (0.037) (0.084) (0.038) R} 0.004 0.137 0.203 0.199 P-value for test of overidentifying restrictions 0.141 0.105 0.015 0.477 Number of observations SS 55 30 32 * Significant at the 1 percent level. ••Significant at the 5 percent level. Note: The dependent variable is the household saving rate. Instruments for future income growth consist of current income, a coastal province dummy, and the share of state enterprise employment in total employment. Results are based on a panel of three six-year averages. All regressions include period intercepts. Standard errors are in parentheses. a. Provinces with average household income greater than 500 and 1,000 constant 1990 yuan in rural and urban areas, respectively. Source: Author's calculations. These results also stand in sharp contrast to those of Carroll and Weil (1994), who use cross-national data and U.S. household-level data. They find that higher expected future income growth is associated with higher, rather than lower, sav- ing rates. For urban households in China, however, expected future income growth has a positive, but statistically insignificant, effect on saving. The results for rural households may not be that surprising, to the extent that they reflect high saving in the first six years of reform, followed by lower saving in the next six. Many observers have noted that the large gains in rural incomes in the early 1980s reflect primarily the one-time benefits of dismantling the com- mune system. It is quite plausible that rural households knew that the growth benefits of these reforms were transient and increased their saving accordingly. As for the other control variables, the share of food consumption in total consumption enters with the expected negative sign, consistent with the idea that households nearer to subsistence levels of consumption have lower saving rates. Curiously, the dependency ratio enters with a positive sign, although the esti- mated coefficients are small and not significantly different from zero. This con- trasts with the large cross-country literature, beginning with Modigliani (1970), that finds that high dependency ratios are typically associated with lower saving rates. However, we can in principle account for this result to the extent that high values of the dependency ratio reflect a large young-age population and to the extent that households have strong bequest motives.23 Finally, it is worth noting 23. Collins (1991) notes this as a possible reason why dependency rates have an ambiguous effect on saving. She also notes that the standard implication that saving rates are negatively associated with dependency rates requires the assumption that the economy is growing. On the basis of these observations, she argues that dependency rates should enter alone and interacted with growth in saving rate regressions. However, including this interacted variable in the regressions reported above does not cignifirnnrfy affect the results. Kraay S61 that for both urban and rural households in the full sample, and for rural house- holds in the high-income sample, the null hypothesis that the overidentifying restrictions are valid is not rejected. This result is useful because it indicates that the instruments (initial income, a coastal province dummy, and the share of state enterprise employment) affect saving only indirectly through their effect on ex- pected future income growth. In the regressions of future income uncertainty on current saving rates, neither measure of future income uncertainty enters significantly, and the signs are mixed, suggesting little evidence of a precautionary saving motivation in this sample (table 4). This contrasts with Jalan and Ravallion (1998), who find a small, but statistically significant, effect of income uncertainty on wealth in a panel of rural households over the period 1985-90. 24 Expected future income growth, in con- trast, continues to enter with the expected negative sign for rural households. The results for the other control variables are similar to those for the previous regressions of saving rates on expected future income alone. The share of food consumption in total consumption enters negatively (and significantly in the ru- ral sample), while the dependency ratio again enters positively. As before, in most cases tests of overidentifying restrictions do not reject the null hypothesis that the model is specified correctly. Thus the empirical evidence suggests that expectations of future income growth affect current saving rates in a manner consistent with the predictions of stan- dard intertemporal models of consumption, at least for rural households. In ad- dition, the declining importance of subsistence consumption offers a promising explanation for China's rising saving rates, as the share of food consumption in total consumption (a proxy for the importance of subsistence effects) is a robust predictor of saving rates in a panel of provincial saving rates. However, these modest empirical successes are tempered by at least two factors. First, the much poorer performance of the model for urban households and the modest fit of the regressions warn that there is much more to be understood regarding the deter- minants of household saving across provinces in China. The second is the ab- sence of significant results on future income uncertainty. This may simply reflect the drawbacks of working with aggregate data. If shocks to households are large and idiosyncratic, they may affect saving at the household level (as found by Jalan and Ravallion 1998), but not at the aggregate level. It may also reflect the fact that the simple aggregate measures of macroeconomic volatility used here do not adequately proxy for the shocks households actually experience. HI. CONCLUSIONS In light of the data problems discussed and the nature of the econometric results, which are suggestive, at best, firm conclusions are less in order than ques- 24. One reason for this difference may be that Jalan and Ravallion consider wealth, rather than saving, as the dependent variable. As Carroll and Samwick (1997) note, precautionary motivations are more likely to be manifested in wealth than in saving rates in "buffer-stock" models of saving. 562 THE WORLD BAN! ECONOMIC REVIEW, VOL 14, NO. 3 Table 4. Saving and Expected Future Income Uncertainty in China Full sample High-income sample* Independent variable Urban Rural Urban Rural Future income growth 1.926 -1.276* -0339 -1.153** (2.071) (0.549) (0.765) (0.586) Future income uncertainty1' -0.075 -1.194 0.713 -0.210 (1.493) (0.808) (0.644) (0.560) Share of food in total consumption -0.408 -0.585* -0.076 -0.810* (0.299) (-0.210) (0.147) (0.261) Dependency ratio 0.118 0.061*** 0.017 0.040 (0.112) (0.037) (0.084) (0.040) R1 0.003 0.093 0.128 0.178 P-value for test of overidentifying restrictions 0.045 0.472 0.012 0.250 Number of observations 55 55 30 32 Future income growth 1335 0.906*** 2.309 -0.101*' (0.935) (0.485) (2.318) (0.512) Future income uncertainty1 -0.899 -0.619 -2.109 0.115 (-0.705) (-0.518) (-1.860) (-0.453) Share of food in total consumption -0.456*** -0.542* -0.433 0.722** (-0.260) (-0.192) (-0.391) (-0.238) Dependency ratio 0.055 0.077 0.241 0.067 (-0.063) (-0.050) (-0.256) (-0.054) R1 0.005 0.178 0.001 0.236 P-value for test of overidentifying restrictions 0.463 0.533 0.248 0.326 Number of observations 52 53 28 31 1 percent level. ** Significant at the 5 percent leveL *** Significant at the 10 percent level. Note: The dependent variable is the household saving rate. Instruments for future income growth and future income uncertainty consist of current income, a coastal province dummy, and the share of state enterprise employment in total employment. Results are based on a panel of three six-year averages. All regressions include period intercepts. Standard errors are in parentheses. a. Provinces with average household income greater than 500 and 1,000 constant 1990 yuan in rural and urban areas, respectively. b. Future income is calculated as die standard deviation of me one-year-ahead forecast errors assuming that income is a random walk with drift. c. Future income is calculated as the standard deviation of the one-year-ahead forecast errors assuming that income is an AR(1) around a deterministic trend. Source: Author's calculations. tions for further research. Although the empirical evidence on the determinants of household saving presented here reflects favorably on two complementary explanations (expectations of future income growth and the role of subsistence consumption), these factors capture only a small fraction of the variation in house- hold saving rates across provinces. Moreover, important and unresolved mea- surement issues complicate the interpretation of trends in aggregate and house- hold saving rates. At least five sets of issues deserve further investigation, as they are likely to contribute to a better understanding of this variation and have im- portant consequences for policy. Consider first measurement issues. The large discrepancies between house- hold survey measures of saving and growth of deposits in the banking system Kraay 563 raise wider concerns. If this discrepancy reflects inadequacies of the household survey, it has important implications for a range of policies (such as targeting poverty alleviation expenditures) that rely on these survey data. If, as is more plausible, this discrepancy reflects an exaggeration of the growth of deposits in the banking system, it has important implications for the stability of China's financial system, which is already under pressure on the asset side from poorly performing loans to the state enterprise system. A second set of issues concerns the role of credit constraints. The limited re- sults suggest that intertemporal considerations are important in saving decisions among rural households. This is despite the fact that few formal consumer credit mechanisms are available in China to enable households to shift consumption from the future to the present. In surveys of saving motivations, Chinese house- holds consistently rank saving for anticipated purchases of consumer durables and life-cycle events, such as wedding celebrations, as important factors in their saving decisions. As financial markets develop, it is likely that these credit con- straints will become less important, raising the possibility that saving will fall. Although simulations of theoretical models suggest that the presence of liquidity constraints does not lead to very large buffer stocks of wealth, this factor may be important in understanding saving in China, where households have responded to unprecedented affluence by making large adjustments to their stocks of durables over a relatively short period of time. Studying the transitional dynamics of theo- retical models with these features, as well as more careful analysis of household- level data, is required to shed light on this issue. A third set of issues relates to the ongoing process of transition to a market economy and the greater uncertainties this has created as households are exposed to the vicissitudes of the market. In this article I used crude measures of aggregate income uncertainty to investigate whether this has resulted in higher precaution- ary saving. There is little evidence in favor of precautionary saving motivations. More work using household-level data, along the lines of Jalan and Ravallion (1998), is likely to be informative in this regard. Not only would this permit construction of individual measures of income uncertainty, but it would also allow investigation of more qualitative contributions to household income inse- curity, such as employment status in the private or state sector. This may in turn shed light on the consequences of further enterprise reforms for household and aggregate saving rates. The fourth set of issues concerns differences in rural and urban saving rates and the large differences in saving rates across provinces with different income levels. It seems intuitively plausible that the higher saving rates observed in rural areas can be attributed in part to the lower coverage of pension and other social benefits in those areas. Similarly, the data suggest diat income levels in excess of subsistence requirements are important in understanding interprovincial saving differentials. However, carefully quantifying the magnitude of these effects is important for policy and can probably be done better using household-level data rather than aggregate data. For example, exploiting regional variations in pen- 564 THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 sion reform policies could shed light on the consequences of further pension re- form for aggregate saving. Finally, the analysis in this article does not shed any light on the higher- frequency determinants of saving, since it has relied on long averages of saving rates to mitigate the effects of measurement error. Progress on this front will first require improvements in data quality. The results of such research would have implications for the effectiveness of Keynesian demand management policies that in recent years have ranked highly among the concerns of Chinese policymakers. APPENDIX: HOUSEHOLD SURVEY-BASED MEASURES OF SAVING IN CHINA The rural and urban household survey teams of China's State Statistical Bu- reau conduct annual household surveys. The surveys collect detailed data on income and expenditures as well as stocks of consumer durables and agricultural producer goods.25 I use data published in China, State Statistical Bureau (1997) on provincial averages of household income and expenditures for China's 30 provinces between 1978 and 1995 to construct flow measures of household saving.26 In 1995 the survey covered 35,000 urban households and 67,000 rural house- holds, representing 0.04 and 0.03 percent of the urban and rural populations, respectively.27 The sampling frame for both surveys is based on the administra- tive classification of household registrations (hukou). All rural households are classified as "agricultural" regardless of their primary source of income, and the population of agricultural households in rural areas constitutes the sampling frame of the rural survey. Thus the rural survey can be considered to be generally repre- sentative of the rural population. The frame of the urban survey is the urban population with "nonagricultural" household registrations.28 Since roughly 20 percent of the urban population is classified as agricultural, this constitutes a sizable gap in the coverage of the urban household survey. A second gap is due to the fact that the urban survey largely excludes migrant workers, who seldom obtain hukou registrations. Since the long-term migrant population is estimated at about 50 million, or about one-sixth of the urban population, this too consti- tutes a substantial omission. However, aggregate measures of saving rates will be biased only to the extent that saving propensities differ between omitted and included groups of the population. Additional concerns relate to the measurement of income and expenditures. The principal issue is that the concepts of income employed in the rural and 25. For a more detailed description of the rural household survey, tee Chen and Ravallion (1996). World Bank (1997b: box 1.1) provides a tummary of the main deficiencies of the rural and urban surveys. 26. Both surveys also collect data on household deposits and cash balances. However, summary statis- tics of these measures are not reported systematically in Chinese publications, so it ii not possible to consider measures of stocks of financial assets based on the household survey. 27. China, State Statistical Bureau (1995: tables 9-5 and 9-15). Figures are for 1995. 28. However, within this broad definition there have been rhangr* in the sample frame. For example, pensioners were included in the urban survey only after 1985. Kraay S6S urban surveys are different. In rural areas the household income measure I use, net income, is calculated net of production costs associated with household pro- duction. In urban areas the household survey is geared primarily toward record- ing labor income and is likely to exclude other forms of income (such as interest or self-employment income). Again, measures of household saving rates will be biased only to the extent that saving propensities out of the omitted component of income differ from those out of included income. A final set of concerns regarding the household survey relates to the valuation of in-kind income. In rural areas the prices at which nonmarketed household production is valued may not adequately reflect market prices. To the extent that this undervalues this source of income and form of consumption, household sav- ing rates will be biased downward. In urban areas a range of in-kind income (such as medical, education, and housing benefits) is not included in income. This too will bias urban saving rates downward. The specific measures of household income employed are as follows. In urban households, I use income available for living, which consists of the total income from all sources covered by the survey, less transfers to family members not re- siding in the household, gifts, payments received from boarders in the household, and subsidies received for responding to the survey. The expenditure measure is living expenditures, which nets out from total expenditures transfers to family members not residing in the household, gifts, and payments received from board- ers in the household. In rural areas I use net income as discussed above, less living expenditures. Table A-l. Composition of National Saving, 1978-95 Indicator 1978 1979 19S01 1981 1982 1983 1984 198S 1986 1987 1988 1989 1990 1991 1991 1993 1994 199S Perctniagt of CNF mt atrrtnt pruxs Grots nitional saving 37.75 36.08 3451 32.67 35.07 34.86 34.71 33.92 35.28 36-Z6 35.88 35.03 37.72 37.86 37.41 41-36 41.28 41.25 Changes In stocks 8.39 8.00 6.02 6.75 5.03 4.97 4.76 8.29 7.33 4.85 5.84 10.38 9.21 7.28 4.95 5.84 3.73 513 Grots rational taring net of changes In stocks 29.36 28.09 28.89 25.92 30.04 29.89 29.95 25.63 27.95 31.41 30.04 24.65 28-52 30J8 32.46 35-52 37.55 35.95 Households (surrey measure)1 7.70 9.57 10.29 9.89 13.06 13.70 16.54 13.77 12,62 1154 11.13 10.28 11.72 10.34 10.36 10.05 10.23 10.56 Households (assets measure)* 4.83 6.49 8.10 8.25 8.34 9.67 13.55 12.77 14.70 15.67 16.13 16.10 16.94 17.55 17.65 19.23 22.30 21.10 Corporate sector 2.19 1.87 4.63 2.84 4.65 3.65 3.31 3.64 3.84 4.58 4.77 3.37 2.85 3.22 5.10 7_35 7O4 7.56 Public sector 20.11 15.99 13.86 13.16 13.47 13.37 13.56 14.78 12.81 12.00 9.16 8.29 7.57 7J5 6.89 2.68 2.06 0-53 Budgetary government* H.92 9.92 7.19 6.47 5.29 5-54 6.30 6.70 5.60 4.23 2.86 2-16 2.59 1.79 1.08 1.49 0.43 0.53 5.18 6.07 6.67 6.69 8.18 7.83 7.26 8.08 7.21 7.77 6.30 6.03 4.99 5.56 5.81 1.18 1.63 — Residual (using household survey measure) 7.76 8.66 6.13 6.77 3.89 4.15 1.30 1.73 6.01 7.75 10.82 13.10 15.58 1655 15.06 21.29 21.76 22.60 Residual (using household users measure) 10.62 11.74 8.31 8.41 8.62 8.18 4.29 2.73 3.93 4.02 5.82 7.28 10-37 9.74 7.76 1X11 9.69 1X06 Perctntagt of gross national laving Changes in stocks 22O2 22.17 17.24 20.66 14.35 14.25 13.71 24.44 20.78 13.38 16.27 29.63 24.40 19.23 13.23 14.12 9.04 1X84 Public sector 53.26 44.31 39.71 40.29 38.41 38J4 39.07 43.57 36-31 33.08 25J3 23.65 20.08 19.42 18.42 6.47 458 1O7 Corporate sector 5.81 5.17 13.27 8.69 13.25 10.46 9.54 10.74 10.89 12.62 13.29 9.62 7.55 8-51 13.63 17.77 17.53 18J3 Households (survey measure)* 20.39 26.53 29.46 30.29 37.25 39.30 47.65 40.60 35.77 3253 31.02 29 33 31.07 27.31 27.69 2409 24.78 25.61 Households (assets measure)* 12.80 1759 23.21 25.27 23.78 27.73 39.03 37.64 41.68 4311 44.97 45S6 44.90 46J5 47.19 46.48 54.03 51.16 Residual (using household survey measure) 20.55 23.99 17.56 20.73 11.10 11.90 3.73 5.09 17.04 21.37 30.16 37.40 41.31 44.77 4006 51.48 5X72 54.79 Residual (using household assets measure) 28.14 3X53 23.81 25.75 24.57 23.47 12.36 8.05 11.13 11.09 16.21 20.78 27.48 25.72 20.75 29.28 23.46 29.24 CN? (billions of current yuan) 362.41 403.80 451.78 486.00 530.60 595.70 720.48 89851 1,020.14 1,195.45 1,49203 1,691.78 1,859.84 2,166.25 W65.19 3,456.05 4.653O9 5,727.73 Current account (percentage of CN?) -0.27 -0.42 -0.28 0.14 150 1O1 0.45 -3.75 -X42 0.11 -055 -0.99 3.08 3.16 1.25 -X03 1-33 0.07 — Not available. a. See table A-X b. Current budgetary surplus of central and local governments (World Bank 1997a: statistical annex tables 19 and 22). c Current surplus on extra budgetary accounts of centra] and local governments (China, State Statistical Bureau 1996: table 7-16, revenue less non-fixed-asset investment). Source: Table A-2 and World Bank (World Development Indicators). Table A-2. Alternative Measures of Household Saving in China, 1978-94 Mc&sttn 1978 1979 1980 1981 1982 1983 1984 1985 1986 19J7 19J8 1989 1990 1991 1992 1993 1994 Household survey measure Nationil per capita Income" (yuan) 162.43 196.27 233-56 265.26 310-58 349.23 403.94 455.98 503.53 552.10 661.80 738.20 832.76 888.86 1,008.98 1,236.13 1.672J4 Expenditures' 146.93 172O3 204.80 238.23 265.46 295.32 328.92 389.61 444.20 494.30 604.28 675.55 729.68 797.60 877.66 1,067.76 1,439.86 Saving- income less expenditures 15.50 24.04 28.76 27.03 45.13 53.92 75.01 66.37 59.33 57.80 57.52 62.65 103.08 91.26 131.32 168.37 232.68 Population (millions) 962J9 975.42 987.05 1,000.72 1,016.54 1,030.08 1,043.57 1,058-51 1,075.07 1,093.00 1.110O6 1,127.04 1,14333 1,158.23 1,171.71 1,185.17 1,198-50 Total income less expenditures (buttons of current yuan) 14.92 23.45 28.39 27.05 45.87 55.54 78.28 70.25 63.78 63.18 63.86 70.61 117.85 105.70 153.87 199.54 278.87 Individual investment (billions of current yuan)* 26.08 40.90 53.52 64.94 79-59 1(ML21 103.23 100.12 118.29 122^0 147.62 197.06 Household saving (billions of current yuan)* 27.89 38.66 46.47 48.08 69.31 81.61 119.18 123.78 128.72 142.76 166.07 173.83 217.97 223.99 276.07 347.16 475.93 Household astett measure (billions of atrrent yuan) Currency in circulation' — 26.77 34.62 39.63 43.91 52.98 79.20 98.80 121.80 145.40 213-30 234.20 264.10 317.40 432JM) 585.00 729.00 85 percent of change in currency in circulation 6.67 4.26 3.64 7.71 22.29 16.66 19J5 20.06 57.72 17.77 25.42 45.31 98.18 129.29 122.40 Household deposits* 21.06 28.10 39.95 52J7 67.54 89.25 121.47 162.26 223.76 307-33 380.15 514.69 703.42 911.03 1,154.54 1,520.35 2,151.88 Qjhsnge in deposits 2.90 7.04 11.85 12.42 15.17 21.71 32O2 40.79 61.50 83-57 72.82 134-S4 188.73 207.61 243-51 365.81 631.53 Net subscriptions to ^..JJIflmf ^y bondr i 0.00 0.00 0.00 2.10 2^0 3.80 4.00 4.11 7.99 16.85 0.75 9.00 6.64 21.76 86.80 Subscriptions 0.00 0.00 0.00 2.10 2J0 3.80 4.00 4.50 8.80 18.10 9J0 19.94 29.60 31.48 106.74 Redemptions 0.00 0.00 0.00 0.00 0J9 0.81 1.25 8.55 10.94 2X96 9.72 19.94 Individual investment* 26.08 40.90 53-52 64.94 79.59 102.21 103.23 100.12 118.29 122JU) 147.62 197.06 Household saving (assets measure)' 17.51 26.21 36.61 40.12 44iS 57-59 97.61 114.77 149.99 187.33 240.74 272J8 315.01 380.20 470-52 664.48 1,037.79 Retail price index 48.15 49.11 52.05 53.30 54J1 55.13 56.67 61.68 65-38 70.15 83.15 97.93 100.00 102.89 108.43 122.73 149-35 — Not available. Note: Shaded areas indicate estimates. a. Population-weighted average of urban and rural values. Urban measures are income available for living and living expenditures (China, State Statistical Bureau, China Statistical Yearbook, various issues: table 9-5). Rural measures ore net income and living expenditures. Population weights are nonagricultural and agricultural shares of the population. b. China, State Statistical Bureau, China Statistical Yearbook (various issues: table 5-1). c Income less expenditures plus individual investment. d. World Bank (1997a: statistical annex table 14). e. China, State Statistical Bureau, China Statistical Yearbook (various issues: table 9-3). f. World Bank (1997a: statistical annex table 12). g. Change in currency in circulation plus change in deposits phis net subscriptions to government bonds plus individual investment. Source: China, State Statistical Bureau, China Statistical Yearbook (various issues) and World Bank (1997a). 568 THE -WORLD BANK ECONOMIC REVIEW. VOL. 14, NO. 3 REFERENCES The word "processed" describes informally reproduced works that may not be com- monly available through library systems. Arora, Vivek. 1995. "National Saving in China: Trends, Measurement, and Determi- nants." International Monetary Fund, East Asia Department, Washington, D.C. Processed. Atkeson, Andrew, and Masao Ogaki. 1996. "Wealth-Varying Intertemporal Elasticities of Substitution: Evidence from Panel and Aggregate Data." Journal of Monetary Eco- nomics 39(3):507-34. Bai, Baier, Yan Zhu, and Ling Wang. 1993. "A Quantitative Analysis of the Consump- tion Structure of China's Urban Households." In Tien-Tung Hsueh, Yun-Wing Sun, and Jingyuan Yu, eds., Studies on Economic Reforms and Development in the People's Republic of China. Hong Kong: Chinese University Press. Barandiaran, Edgardo. 1997. "China: Flow of Funds Analysis." World Bank, East Asia Department, Washington, D.C. Processed. Brandolini, Andrea, and Luigi Cannari. 1994. "Methodological Appendix: The Bank of Italy's Survey of Household Income and Wealth." In Albert Ando, Luigi Guiso, and Ignazio Visco, eds., Saving and the Accumulation of Wealth: Essays on Italian Household and Government Saving Behaviour. Cambridge, U.K.: Cambridge Uni- versity Press. Carroll, Christopher D. 1994. "How Does Future Income Affect Current Consumption?" Quarterly Journal of Economics 109(l):lll-48. Carroll, Christopher, and Andrew Samwick. 1997. "The Nature of Precautionary Wealth." NBER Working Paper 5193. National Bureau of Economic Research, Cambridge, Mass. Processed. Carroll, Christopher D., and David N. Weil. 1994. "Saving and Growth: A Reinterpreta- tion.11 Carnegie-Rochester Conference Series on Public Policy 40:133-92. Chen, Jian, and Belton M. Fleisher. 1996. "Regional Income Inequality and Economic Growth in China." Journal of Comparative Economics 22(l):141-64. Chen, Shaohua, and Martin Ravallion. 1996. "Data in Transition: Assessing Rural Liv- ing Standards in Southern China." China Economic Review 7(l):23-56. China, State Statistical Bureau. 1992. China Statistical Yearbook. Beijing: China Statisti- cal Publishing House. . 1995. China Statistical Yearbook. Beijing: China Statistical Publishing House. . 1996. China Statistical Yearbook. Beijing: China Statistical Publishing House. . 1997. China Regional Economy: A Profile of 17 Years of Reform and Opening Up. Beijing: China Statistical Publishing House. Chow, Gregory. 1985. "A Model of Chinese National Income Determination." Journal of Political Economy 93(4):782-92. Collins, Susan. 1991. "Saving Behaviour in Ten Developing Countries." In B. Douglas Bernheim and John B. Shoven, eds., National Saving and Economic Performance. Chicago: University of Chicago Press. Denizer, Cevdet, and Holger Wolf. 1998. "Aggregate Savings in the Transition: A Cross- Country Study." World Bank, Europe and Central Asia Department, Washington, D.C. Processed. Kraay 569 Dessi, Roberta. 1991. "Household Saving and Wealth in China: Some Evidence from Survey Data." Working Paper 9112. University of Cambridge, Department of Applied Economics, Cambridge, UJC. Processed. Feltenstein, Andrew, David Lebow, and Sweder van Wijnbergen. 1990. "Saving, Com- modity Market Rationing, and the Real Rate of Interest in China." Journal of Money, Credit, and Banking 22(2):235-52. Fleisher, Belton M., Yunhua Liu, and Hongyi Li. 1994. "Financial Intermediation, Infla- tion, and Capital Formation in Rural China." China Economic Review 4(l):101-15. Gersovitz, Mark. 1983. "Saving and Nutrition at Low Incomes." Journal of Political Economy 91(5):841-55. Honohan, Patrick. 1995. "The Impact of Financial and Fiscal Policies on Saving." Eco- nomic and Social Research Institute, Dublin. Processed. Hussain, Athar, Steve Ludlow, Iimin Wang, and Qian Wei. 1990. "The Chinese Acad- emy of Social Sciences Data Set." London School of Economics, London. Processed. Jalan, Jyotsna, and Martin Ravallion. 1998. "Precautionary Wealth in Rural China." World Bank, Development Research Group, Washington, D-C. Processed. Jefferson, Gary. 1990. "The Impact of Economic Structure on Fertility, Saving, and Re- tirement Behaviour of Chinese Households." Journal of Asian Economics l(2):205- 23. Jian, Tianlun, Jeffrey Sachs, and Andrew Warner. 1996. "Trends in Regional Inequality in China." NBER Working Paper 5412. National Bureau of Economic Research, Cam- bridge, Mass. Processed. Kumar, Anjali, Nicholas Lardy, William Albrecht, Terry Chuppe, Susan Selwyn, Panda Perttunen, and Tao Zhang. 1997. China's Non-Bank Financial Institutions. Washing- ton, D.C.: World Bank. Loayza, Norman, Klaus Schmidt-Hebbel, and Luis Serve'n. 1998. "What Drives Saving across the World?" Policy Research Working Paper 2309. World Bank, Development Research Group, Washington, D.C. Processed. Ma, Guonan. 1993. "Macroeconomic Disequilibrium, Structural Changes, and House- hold Saving and Money Demand in China." Journal of Development Economics Mehran, Hassanali, Marc Quintyn, Tom Nordman, and Bernhard Laurens. 1996. Mon- etary and Exchange System Reforms in China: An Experiment in Gradualism. IMF Occasional Paper 141. Washington, D.C: International Monetary Fund. Modigliani, Franco. 1970. "The Life Cycle Hypothesis of Saving and Intercountry Differ- ences in the Saving Ratio." In W. A. Eltis, M. F. Scott, and J. N. Wolfe, eds., Induc- tion, Growth, and Trade. Oxford: Clarendon Press. Modigliani, Franco, and Larry Shi Cao. 1996. "The Chinese Saving Puzzle and the Life Cycle Hypothesis." Massachusetts Institute of Technology, Department of Econom- ics, and Harvard University, Department of Economics, Cambridge, Mass. Processed. Naughton, Barry. 1987. "Macroeconomic Policy and Response in the Chinese Economy: The Impact of the Reform Process." Journal of Comparative Economics 11(3):334— 53. Ogaki, Masao, Jonathan Ostry, and Carmen Reinhart. 1995. "Saving Behaviour in Low- and Middle-Income Developing Countries: A Comparison." IMF Working Paper 95/3. International Monetary Fund, Washington, D.C. Processed. 570 THE WORLD BANK ECONOMIC REVIEW, VOL. 14, NO. 3 Pudney, Stephen. 1991. "Income, Wealth, and the Life Cycle: A Non-Parametric Analysis for China." Working Paper 9106. University of Cambridge, Department of Applied Economics, Cambridge, U.K. Processed. Qian, Yingyi. 1988. "Urban and Rural Household Saving in China." IMF Staff Papers 35(4):592-627. Wang, Yan. 1995. "Permanent Income and Wealth Accumulation: A Cross-Sectional Study of Chinese Urban and Rural Households." Economic Development and Cul- tural Change 43(3):523-50. Wang, Zhi, and Wen S. Chern. 1992. "Effects of Rationing on the Consumption Behaviour of Chinese Urban Households during 1981-87." Journal of Comparative Economics Wang, Zhi, and Jean Kinsey. 1994. "Consumption and Saving Behaviour under Strict and Partial Rationing." China Economic Review 4(l):83-100. Wong, Richard Yue-Chim. 1993. "Estimating and Interpreting Chinese Consumption Functions." In Tien-Tung Hsueh, Yun-Wing Sun, and Jingyuan Yu, eds., Studies on Economic Reforms and Development in the People's Republic of China. Hong Kong: Chinese University Press. World Bank. 1988. China: Finance and Investment. Washington, D.C. . 1995. China: Macroeconomic Stability in a Decentralized Economy. Washing- ton, D.C. . 1996. China: Fighting Inflation, Deepening Reforms. Washington, D.C. . 1997a. China 2020: Development Challenges in the New Century. Washington, D.C. . 1997b. China 2020: Sharing Rising Incomes. Washington, D.C. . Various issues. World Development Indicators. Washington, D.C. Xie, Ping. 1995. "Individual Saving Behaviour in China's Structural Transitional Period." Paper presented at the International Seminar on Income Distribution Systems, Beijing, June 27-29. Processed. Yusuf, Shahid. 1994. "China's Macroeconomic Performance and Management during Transition." Journal of Economic Perspectives 8(2):71-92. Zhang, Meiling. 1994. "Household Saving Since the Late 1970s in China." International Monetary Fund, Washington, D.C. Processed.