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Application of Dynamic Programming in Markov Chains to the Evaluation of Water Quality in Irrigation

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  • D. Yaron
  • A. Olian

Abstract

With the aid of a dynamic programming model in Markov chains, this paper presents an economic analysis of irrigation with saline water. Results provide guides to optimal irrigation policy. Estimates of the value of water quality in irrigation are derived, and possible applications in water resource development decisions are discussed.

Suggested Citation

  • D. Yaron & A. Olian, 1973. "Application of Dynamic Programming in Markov Chains to the Evaluation of Water Quality in Irrigation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 55(3), pages 467-471.
    • Handle: RePEc:oup:ajagec:v:55:y:1973:i:3:p:467-471.
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    File URL: http://hdl.handle.net/10.2307/1239127
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    Cited by:

    1. Knapp, Keith, 1991. "Irrigation Management and Investment under Saline, Limited Drainage Conditions," WAEA/ WFEA Conference Archive (1929-1995) 321476, Western Agricultural Economics Association.
    2. Knapp, Keith C. & Dinar, Ariel, 1986. "A Dynamic Analysis Of Optimal Water Use Under Saline Conditions," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 11(1), pages 1-9, July.
    3. Yaron, D. & Dinar, A. & Voet, H. & Ratner, A., 1982. "Economic Evaluation of the Rate of Substitution between Quantity and Quality (Salinity) of Water in Irrigation," Working Papers 232601, Hebrew University of Jerusalem, Center for Agricultural Economic Research.
    4. Knapp, Kieth C., 1985. "Steady-State Solutions to Soil Salinity Optimization Problems," 1985 Annual Meeting, August 4-7, Ames, Iowa 278632, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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