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The Illiquidity of Water Markets

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  • José-Antonio Espín-Sánchez
  • Javier Donna

Abstract

In 1966, the irrigation community in Mula (Murcia, Spain) switched from a market (auction), which had been in place in the town for over 700 years, to a system of fixed quotas with a ban on trading, to allocate water from the town's river. We present a model, in which farmers face liquidity constraints to explain why the change took place. We show that water demand will be underestimated if liquidity constraints are present. We use a dynamic demand model and data from the market period to estimate the parameters of the model. We estimate both the demand for water and the financial constraints of the farmers, thus obtaining unbiased estimates. In our model, markets achieve the first-best allocation only in the absence of liquidity constraints. In contrast, the quota achieves the first-best allocation only if farmers are homogeneous in productivity. We compute welfare under both institutions using the estimated parameters. We find that the quota is more efficient than the market. This result implies that one should be cautious in advocating for water markets, especially in developing areas where liquidity constraints might be a concern.

Suggested Citation

  • José-Antonio Espín-Sánchez & Javier Donna, 2014. "The Illiquidity of Water Markets," 2014 Papers pes132, Job Market Papers.
  • Handle: RePEc:jmp:jm2014:pes132
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    References listed on IDEAS

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    Cited by:

    1. Donna, Javier & Espin-Sanchez, Jose, 2014. "Complements and Substitutes in Sequential Auctions: The Case of Water Auctions," MPRA Paper 55079, University Library of Munich, Germany.
    2. TANAKA Mari & NARITA Yusuke & MORIGUCHI Chiaki, 2020. "Meritocracy and Its Discontent: Long-run Effects of Repeated School Admission Reforms," Discussion papers 20002, Research Institute of Economy, Trade and Industry (RIETI).
    3. Lars Boerner & Daniel Quint, 2023. "Medieval Matching Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 64(1), pages 23-56, February.
    4. Donna, Javier D., 2018. "Measuring Long-Run Price Elasticities in Urban Travel Demand," MPRA Paper 90260, University Library of Munich, Germany.
    5. Youming Liu & Shanjun Li & Caixia Shen, 2020. "The Dynamic Efficiency in Resource Allocation: Evidence from Vehicle License Lotteries in Beijing," NBER Working Papers 26904, National Bureau of Economic Research, Inc.
    6. Nicholas Ryan & Anant Sudarshan, 2020. "Rationing the Commons," Working Papers 2020-93, Becker Friedman Institute for Research In Economics.
    7. Nicholas Ryan & Anant Sudarshan, 2020. "Rationing the Commons," Cowles Foundation Discussion Papers 2239, Cowles Foundation for Research in Economics, Yale University.
    8. Nicholas Ryan & Anant Sudarshan, 2020. "Rationing the Commons," NBER Working Papers 27473, National Bureau of Economic Research, Inc.

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    More about this item

    JEL classification:

    • D02 - Microeconomics - - General - - - Institutions: Design, Formation, Operations, and Impact
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

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