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Achieving long-term success in irrigation commons

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  • Ulrich J Frey
  • Atul Pokharel

Abstract

Which characteristics predict the long-term performance and persistence of irrigation systems? This question has been challenging to answer due to the lack of longitudinal data. Numerous cross-sectional studies have identified a wide range of relevant factors. However, it is unclear which of these factors remain associated with long-term persistence, or what their relative predictive power is. To examine performance and survival after a period of 16–37 years with respect to concerning initial system attributes, we have created a unique longitudinal dataset of 218 community-based irrigation systems in Nepal, separated by three decades. We applied the best available models using several state-of-the-art machine learning algorithms to ensure method independence. Our findings show that farmer-managed systems that receive external support and whose leaders are users perform best. Long-term survival is associated with fair rules, regular member meetings, and occasional external assistance. Good institutional design is consistently among the strongest predictors of long-term performance and persistence in irrigation commons.

Suggested Citation

  • Ulrich J Frey & Atul Pokharel, 2026. "Achieving long-term success in irrigation commons," PLOS ONE, Public Library of Science, vol. 21(7), pages 1-14, July.
    • Handle: RePEc:plo:pone00:0353875
    DOI: 10.1371/journal.pone.0353875
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    References listed on IDEAS

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    2. Gibson, Clark C. & Williams, John T. & Ostrom, Elinor, 2005. "Local Enforcement and Better Forests," World Development, Elsevier, vol. 33(2), pages 273-284, February.
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