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Targeting credit through community members

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  • Diego A. Vera-Cossio

    () (University of California - San Diego)

Abstract

Delegating the allocation of public resources to community members is an increasingly popular form of delivering development programs and are associated with a tradeoff between improved information about potential benef ciaries and favoritism towards local elites. Unlike targeting cash transfers to the poor, the optimal targeting of credit is a more complex problem involving issues of productivity, repayment, and market responses: This paper analyzes this problem using a large-scale lending program, the Thai Million Baht Credit Fund, which decentralizes the allocation of loans to an elected group of community members, and provides three main results. First, exploiting a long and detailed panel, I recover pre-program structural estimates of household total factor productivity and f nd that resources from the program were not allocated to high-productivity, poor households, which is inconsistent with poverty and productive eff ciency as targeting criteria. Second, using socioeconomic networks data, I show that actual targeting is strongly driven by connections to village elites and is related to lower program profitability, which suggests favoritism as a reason for mistargeting. Finally, I exploit quasi-experimental variation in the rollout of the program and uncover evidence that, in general equilibrium, informal credit markets compensate for targeting distortions by redirecting credit towards unconnected households, albeit at higher interest rates than those provided by the program. The results highlight the limitations of community-driven approaches to program delivery and the role of markets in attenuating potential targeting errors.

Suggested Citation

  • Diego A. Vera-Cossio, 2017. "Targeting credit through community members," Development Research Working Paper Series 07/2017, Institute for Advanced Development Studies.
  • Handle: RePEc:adv:wpaper:201707
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    Cited by:

    1. Pushkar Maitra & Sandip Mitra & Dilip Mookherjee & Sujata Visaria, 2020. "Decentralized Targeting of Agricultural Credit Programs: Private versus Political Intermediaries," HKUST IEMS Working Paper Series 2020-70, HKUST Institute for Emerging Market Studies, revised Jan 2020.

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    More about this item

    Keywords

    credit; social networks; misallocation; targeting;
    All these keywords.

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • O17 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Formal and Informal Sectors; Shadow Economy; Institutional Arrangements
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Language; Social and Economic Stratification

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