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Designing Direct Subsidies for the Poor : A Water and Sanitation Case Study

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Date
2000-06
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Published
2000-06
Author(s)
Gómez-Lobos, Andrés
Halpern, Jonathan
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Abstract
Direct subsidies are an increasingly popular means of making infrastructure services more affordable to the poor. Under the direct subsidy approach, governments pay part of the water bill of poor households that meet certain criteria. This approach was first used in water sector reforms in Chile in the early 1990s and is an alternative to the traditional method in which governments pay subsidies directly to utilities, often allowing the price of water to fall below economic costs indiscriminately. This Note illustrates how simulation techniques can be used to inform the design of direct subsidy schemes, ensuring that they are both cost-effective and accurate in reaching the target population.
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Gómez-Lobos, Andrés; Foster, Vivien; Halpern, Jonathan. 2000. Designing Direct Subsidies for the Poor : A Water and Sanitation Case Study. Viewpoint. © World Bank. http://hdl.handle.net/10986/11428 License: CC BY 3.0 IGO.
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  • Publication
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    In designing a rational scheme for subsidizing water services, it is important to support the choice of design parameters with empirical analysis that stimulates the impact of subsidy options on the target population. Otherwise, there is little guarantee that the subsidy program will meet its objectives. But such analysis is informationally demanding. Ideally, researchers should have access to a single, consistent data set containing household-level information on consumption, willingness to pay, and a range of socioeconomic characteristics. Such a comprehensive data set will rarely exist. The authors suggest overcoming this data deficiency by collating, and imaginatevily manipulating different sources of data to generate estimates of the missing variables. The most valuable sources of information, they explain, are likely to be the following: 1) Customer databases of the water company, which provide robust information on the measured consumption of formal customers, but little information on unmeasured consumption, informal customers, willingness to pay, or socioeconomic variables. 2) General socioeconomic household surveys, which are an excellent source of socioeconomic information, but tend to record water expenditure rather than physical consumption. 3) Willingness-to-pay surveys, which are generally tailored to a specific project, are very flexible, and may be the only source of willingness-to-pay data. However, they are expensive to undertake, and the information collected is based on hypothetical rather than real behavior. Where such surveys are unavailable, international benchmark values on willingness to pay may be used. Combining data sets requires some effort and creativity, and creates difficulties of its own. But once a suitable data set has been constructed, a simulation model can be created using simple spreadsheet software. The model used to design Panama's water subsidy proposal addressed these questions: a) What are the targeting properties of different eligibility criteria for the subsidy? b) How large should the subsidy be? c) How much will the subsidy scheme cost, including administrative costs? Armed with the above information, policymakers should be in a position to design a subsidy program that reaches the intended beneficiaries, provides them with the level of financial support that is strictly necessary, meets the overall budget restrictions, and does not waste an excessive amount of funding on administrative costs.
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