Managing Irrigation Risk with Inflow-Based Derivatives: The Case of Rio Mayo Irrigation District in Sonora, Mexico

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dc.creatorLeiva, Akssell J.
dc.creatorSkees, Jerry R.
dc.date2017-04-01T13:56:11Z
dc.date.accessioned2026-07-09T03:27:47Z
dc.descriptionUncertain reservoir inflows represent a major source of risk for irrigated agriculture. A derivative instrument that uses reservoir inflows as the underlying variable is designed and tested with a recursive stochastic simulation of the Rio Mayo irrigations system. The results indicate that the instrument effectively protects against downside risk.
dc.identifierdoi:10.22004/ag.econ.19448
dc.identifierhttps://ageconsearch.umn.edu/record/19448/files/sp05le05.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/19448
dc.identifier.urihttp://hdl.handle.net/123456789/532978
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/19448
dc.titleManaging Irrigation Risk with Inflow-Based Derivatives: The Case of Rio Mayo Irrigation District in Sonora, Mexico
dc.typeText

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