72447 MALAWI ECONOMIC IMPACTS OF POOR SANITATION IN AFRICA March 2012 Malawi loses MWK8.8 billion annually due to poor sanitation Poor sanitation costs Malawi 8.8 billion Malawi Kwacha each year, Malawi sanitation coverage equivalent to US$57 million,* according to a desk study carried Open Defecation out by The Water and Sanitation Program (WSP). This sum is the Unimproved 9% equivalent of US$3.8 per person in Malawi per year or 1.1% of the 8% national GDP. Improved 56% Shared 27% • 5.2 million Malawians use unsanitary or shared latrines • 1.4 million have no latrine at all and defecate in the open. • The poorest quintile is 176 times more likely to practice open defection than the richest. Open defecation costs Malawi US$14 million – yet eliminating the practice would require less Source: (JMP, 2010) than 300,000 latrines to be built and used. US$2.7 million lost each year in Access Time: Each person practicing open defecation spends almost 2.5 days a year finding a private location to defecate leading to large economic losses. This cost falls disproportionately on women as caregivers who may spend additional time accompanying young children or sick or elderly relatives. This cost is likely to be an underestimation as those without toilets, particularly women, will be obliged to find a private location for urination as well.a US$43 million lost each year due to Premature Death: Approximately 8,800 Malawians, including 4,500 children under 5, die each year from diarrhea – nearly 90% of which is directly attributed to poor water, sanitation and hygiene (WASH).b In addition poor sanitation is a contributing factor – through its impact on malnutrition rates – to other leading causes of child mortality including malaria, ALRI and measles. US$0.3 million lost each year due to Productivity Losses whilst sick or accessing healthcare: This includes time absent from work or school due to diarrheal disease, seeking treatment from a health clinic or hospital, and time spent caring for under-5’s suffering from diarrhea or other sanitation-attributable diseases. US$12 million spent each year on Health Care: Diarrheal diseases directly, and indirectly via malnutrition (and its consequences for other diseases such as respiratory infections and malaria) are all leading causes of morbidity. Costs associated with health seeking behaviour include *1US$ = MWK 153.283 (2010 average) consultation, medication, transport and in some cases hospitalisation – which GDP Source: World Bank place a heavy burden on households and government spending. 1 EQUITY The economic burden of poor sanitation falls most heavily on the poorest The costs of poor sanitation are inequitably Graph: Cost per capita of unimproved sanitation as % of distributed with the highest economic burden income by wealth quintile falling disproportionately on the poorest. The average cost associated with poor sanitation, constitutes a much greater proportion of a poor person’s income than that of a wealthier person. Access to sanitation alone demonstrates inequities; the poorest 20% of the population are 176 times more likely to practice open defecation than the wealthiest 20% of the population. For the poorest therefore, poverty is a double- edged sword – not only are they more likely to have poor sanitation but they have to pay proportionately more for the negative effects it has. Open defecation costs more than fixed-point sanitation In costs quantified by the study, open defecation Graph: Cost per capita of different types of unimproved costs more per person than any other type of sanitation unimproved sanitation; the additional costs are mainly due to the time taken to find a safe, private location for defecation. Costs associated with shared sanitation are likely to be higher than shown if time taken to reach and queue at a public latrine as well as user-fees were added. As it is not possible to estimate the proportion of public latrine users in the shared latrine category these costs are not included. Health costs cannot easily be assigned across latrine categories.c Sanitation or lack thereof is a public health issue – people are affected by their neighbours and communities sanitation status as well as their own, and the costs of open defecation are felt throughout the community.d Open defecation also has considerable social costs. Loss of dignity and privacy or risk of physical attack and sexual violence may not be easily valued in monetary units, but these issues are the reality when sanitation facilities are not available. 2 ADDITIONAL COSTS The figure of US$57 million is likely to underestimate the true cost of the current sanitation situation in Malawi. The following costs are likely to be significant, but are more difficult and expensive to estimate, and therefore have not been precisely valued: Epidemic outbreak costs: Fecal contamination of the environment is the root cause of an annual average of 2,500 cases of cholera affecting Malawi.1 The cost of the necessary WASH response is estimated to be US$1.6 million each year. However the economic implications of a cholera outbreak go beyond the immediate health system response – there are also costs related to productivity loss and premature death, diverting expenditures from other essential items and losses in trade and tourism revenue. Funeral costs: Calculations for the cost of premature death do not take into account funeral costs, which are borne directly by households and can be significant across Africa. One study in South Africa found that on average, households spend the equivalent of a year’s total expenditure on food and groceries on funerals (measured at median household expenditure). In Malawi, annual sanitation- related funeral costs (discounted against future funeral costs) are estimated at US$0.4 million. Water Pollution: The adverse impact of unsafe excreta disposal on water resources is not included in the cost estimation as figures are not available for Africa. Where this affects drinking water supply, water supply and treatment costs for drinking and other domestic uses will add to the costs associated with poor sanitation. Cognitive development: The model does not attempt to capture the long-term economic losses related to the adverse effects of poor sanitation on cognitive development. Early childhood diarrhea contributes to under nutrition, stunting and wasting which are associated with malnutrition and in turn with reduced long-term cognitive development.e Infection with soil-transmitted helminths is also an important cause of impairment in intellectual and cognitive development.2 Tourism: Tourism can be a significant source of income, employment and foreign currency. There are multiple factors that contribute to travel and tourism competitiveness. The WEF3 Travel and Tourism competitiveness report ranks countries according to 75 indicators, one of which is sanitation status. Based on the current contribution of travel and tourism to GDP addressing sanitation in Malawi could lead to an increase in travel and tourism of an estimated US$0.7 million annually. Re-use: Although not included in this model, recycling of excreta is an option that could bring potential economic benefit. The value of excreta re-use is likely to increase in the future as world phosphate reserves continue to decline. 3 TURNING FINANCE INTO SANITATION SERVICES The 2nd AMCOW Country Status Overview (CSO2f) scorecard for Malawi (which assesses the transformation of inputs (finance) into services) identifies few bottlenecks along service delivery pathway. However, some building blocks are a drag on service delivery, particularly in the sustaining pillar of rural sanitation. Rural Sanitation and Hygiene Scorecard (CSO2) Urban Sanitation and Hygiene Scorecard (CSO2) CSO2 scorecard colour code: Green - building blocks that are largely in Yellow - building blocks that are a drag on Red - building blocks that are inadequate, place, acting as a driver on service delivery. service delivery and require attention. constituting a barrier to service delivery and a priority for reform. WHAT NEEDS TO BE DONE Allocate higher investments to Target investments to the sanitation poorest Current sanitation investment in Malawi Sanitation inequity should be is between 0.1-0.5% GDP:4 which is addressed through specific lower than several estimates for what strategies to address the sanitation is required.5 Increased investments in needs of the poorest. sanitation and hygiene promotion are required not only to realise health and welfare benefits of sanitation but also to avert large economic losses. Prioritise elimination of open defecation Open defecation not only has higher costs than any other sanitation Address drags in the service practise, it has considerable adverse delivery pathway social impacts. Low cost and Financing will be more efficiently used if effective ways of stopping open identified shortcomings are addressed defecation need to be scaled up. (for further details see CSO2 Malawi). 4 Estimating the economic impacts of poor sanitation Traditionally, sanitation has not received the priority it deserves. It has not been widely recognized how good sanitation policies and practices can underpin socio-economic development and environmental protection. This study provides an estimation of economic impacts on populations without access to improved sanitation in order to provide information on the losses to society of the current sanitation situation. While not all these economic impacts can be immediately recovered from improved sanitation practices, it provides a perspective on the economic gains that are available to countries through a range of policies to mitigate these impacts over the longer term. Underlying data sets to estimate economic impacts are weak; the study therefore uses objectively verified data sources and conservative numbers to estimate economic impacts. Several impacts have been excluded due to lack of data (see page 3). Therefore the total costs of poor sanitation in this report are likely to be a significant underestimate. Study Methods Data used for these estimates was in large part derived from GNP per capita to conservatively estimate the average economic Demographic and Health Surveys (DHS), Multiple Indicator Cluster contribution of a member of society. Surveys (MICS) and the Joint Monitoring Programme for Water Supply and Sanitation (JMP). Time costs for accessing site of open defecation: extra travel time is based on the expert opinion of over 25 sector specialists. Health care costs: included outpatient and inpatient costs and patient Time lost is valued at 30% of the GNP per capita for adults, and for travel costs, estimated using disease rates and treatment seeking children over 5 years of age at 15% of the GNP per capita. behaviour from DHS and MICS, and unit costs of health services from WHO-CHOICE. Funeral costs were estimated from funeral insurance policy benefits (7 African countries), adjusted based on a study showing that Health-related productivity costs: average length of time spent with-insurance spending on funerals was 37% more than without- incapacitated was 2 days (diarrhea), 5 days (respiratory infection) and 4 insurance spending. As all people die eventually, the future funeral days (malaria). While infants are not productive, their sickness leads to costs were discounted to the present period and subtracted from diversion of carers from other activities (2 hours per day). Time value is the the costs of holding a funeral now. same as access time costs (see below). Cholera WASH cost estimates are based on a combination of Mortality costs: number of deaths from WHO statistics - 88% of preparedness and response budgets.6 Costs included are limited diarrheal deaths attributed to fecal-oral route. Indirect deaths via increased to coordination, community WASH response and WASH in cholera malnutrition rates (respiratory infections, measles and malaria) were treatment centers. Calculations use an attack rate of 2% and disease estimated using attributable fractions based on data from WHO. duration of 3-months. The value of a premature death was estimated using human capital approach – the discounted future income of a working person, using the Notes and References a Urination was not included in the model due to the complexity of the issue the lens of a ‘service delivery pathway’, to identify the major barriers that and absence of data. still constrain performance in each subsector. The CSO2 Scorecard is an b According to WHO 88% of diarrhea cases are attributable to poor environmental assessment framework allowing identification of drivers and barriers in factors, essentially originating from poor excreta management (Pruess et al). the ‘service delivery pathway’ of each sub-sector. According to best scientific evidence basic sanitation interventions can avert 36% of diarrhea cases and sanitation and hygiene combined can avert 45% ********************************************************************************** cases. References: c There is a lack of scientific evidence to enable a distinction between the health WHO Global Health Atlas, Cholera cases 2005-09 1 impacts of different types of unimproved sanitation, however an attempt to do so was made through the disaggregation of diarrhea rates by unimproved Bethony et al, Lancet 2006; 367: 1521–32 2 category. 3 World Economic Forum Travel and Tourism Competitiveness Report, d There is currently no scientific evidence concerning the level of coverage 2011 required for community-wide health benefits - this is an area that requires In-country eThekwini monitoring, 2011 4 further research. 5 Africa Infrastructure Country Diagnostic Background Paper 13 (Phase e The potential effect of tropical enteropathy on child growth means that 1), Climbing the ladder – the state of sanitation in Sub-Saharan Africa previous estimates of the extent to which this relationship exists may have (2008), Second AMCOW Country Status Overview CSO2 (2011), been underestimates. Humphrey, Lancet 2009; 374: 1032–35. eThekwini Declaration (2008) For each country and subsector, the second AMCOW Country Status Overview f 6 Oxfam GB Haiti and Government of Kenya cholera preparedness and explores the links between inputs (finance) and outcomes (coverage) through response budgets 5 March 2012 The Water and Sanitation Program is a multi-donor partnership administered by the World Bank to support poor people in obtaining affordable, safe, and sustainable access to water and sanitation services. WSP MISSION: To support poor people in obtaining affordable, safe, and sustainable access to water and sanitation services. WSP FUNDING PARTNERS: WSP’s donors include Australia, Austria, Canada, Denmark, Finland, France, the Bill & Melinda Gates Foundation, Ireland, Luxembourg, Netherlands, Norway, Sweden, Switzerland, United Kingdom, United States, and the World Bank. ACKNOWLEDGEMENTS: The desk study on the Economic Impacts of Poor Sanitation in Africa was conducted by a team at WSP Africa: Yolande Coombes (WSP Task Manager), Guy Hutton (consultant), Sophie Hickling (consultant), Lewnida Sara (WSP), Alice Muthoni Kiama (consultant). The report prototype was peer reviewed by Oliver Cumming (London School of Hygiene and Tropical Medicine), Pete Kolsky (World Bank), Eddy Perez (WSP), Peregrine Swann (WHO/GLAAS), Sophie Trémolet (independent consultant), Michael Webster (World Bank), Alana Potter (IRC). In Malawi, the prototype was reviewed and concept endorsed by McLawrence G. Mpasa, Director, Sanitation and Hygiene, Ministry of Irrigation and Water Development. Editorial Direction: Toni Sittoni and Sylvia Maina PHOTO CREDITS: Front cover montage: ©WSP, UNICEF and WaterAid Back cover montage: ©WSP, Andreas Knapp and UNICEF This document is available online at www.wsp.org Design/Layout: Eric Lugaka DISCLAIMER: Water and Sanitation Program (WSP) reports are published to communicate the results of WSP’s work to the development community. Some sources cited may be informal documents that are not readily available. The findings, interpretations, and conclusions expressed herein are entirely those of the author and should not be attributed to the World Bank or its affiliated organizations, or to members of the Board of Executive Directors of the World Bank or the governments they represent. The World Bank does not guarantee the accuracy of the data included in this work. 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