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Performance Evaluation of Irrigation Canals Using Data Envelopment Analysis for Efficient and Sustainable Irrigation Management in Jharkhand State, India

Author

Listed:
  • Jay Nigam

    (School of Business, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Totakura Bangar Raju

    (School of Business, University of Petroleum and Energy Studies, Dehradun 248007, India)

  • Ramachandra K. Pavan Kumar Pannala

    (Department of Mathematics, Sharda University, Greater Noida 201301, India)

Abstract

Across the world, achieving sustainable water resource development and managing limited natural resources like water have proven to be significant issues, and India is no exception to the same. At present, irrigation consumes about 80 percent of the total available water in India and is predicted to remain the dominant water user. India is already a country with water stress and is on its way to becoming a country with water scarcity. Rising agricultural productivity, expanding urbanisation, growing industrialisation, and accelerating industry create competing demands for water. Most irrigation system issues in India are attributable to poor management of the built infrastructure. The present study aims to rank the irrigation canals based on their efficiencies and inefficiencies to improve the overall performance of WUAs in Jharkhand. The ranking is done for nine irrigation canals based on financial inputs like investments in training and development of WUAs, maintenance and repairs of canals, and outputs like users’ charges collection and yield in crop production. The Comprehensive Efficiency score analysis suggests that while there is room for improvement in the performance, the Water Users’ Associations have generally been successful in improving the technical efficiency of the irrigation system. The findings can be used for further investigation to identify best practises and areas for improvement.

Suggested Citation

  • Jay Nigam & Totakura Bangar Raju & Ramachandra K. Pavan Kumar Pannala, 2023. "Performance Evaluation of Irrigation Canals Using Data Envelopment Analysis for Efficient and Sustainable Irrigation Management in Jharkhand State, India," Energies, MDPI, vol. 16(14), pages 1-14, July.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:14:p:5490-:d:1198123
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    References listed on IDEAS

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    1. K. Raju & D. Kumar, 2006. "Ranking Irrigation Planning Alternatives Using Data Envelopment Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 20(4), pages 553-566, August.
    2. Jianjun Tang & Henk Folmer & Arno J. Vlist & Jianhong Xue, 2014. "The impacts of management reform on irrigation water use efficiency in the Guanzhong plain, China," Papers in Regional Science, Wiley Blackwell, vol. 93(2), pages 455-475, June.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Marta García-Mollá & Rosa Puertas & Carles Sanchis-Ibor, 2021. "Application of Data Envelopment Analysis to Evaluate Investments in the Modernization of Collective Management Irrigation Systems in Valencia (Spain)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 5011-5027, November.
    5. Zema, Demetrio Antonio & Nicotra, Angelo & Mateos, Luciano & Zimbone, Santo Marcello, 2018. "Improvement of the irrigation performance in Water Users Associations integrating data envelopment analysis and multi-regression models," Agricultural Water Management, Elsevier, vol. 205(C), pages 38-49.
    6. Lilienfeld, Amy & Asmild, Mette, 2007. "Estimation of excess water use in irrigated agriculture: A Data Envelopment Analysis approach," Agricultural Water Management, Elsevier, vol. 94(1-3), pages 73-82, December.
    7. Han, Shumin & Xin, Ping & Li, Huilong & Yang, Yonghui, 2022. "Evolution of agricultural development and land-water-food nexus in Central Asia," Agricultural Water Management, Elsevier, vol. 273(C).
    8. Md Ali & K. Klein, 2014. "Water Use Efficiency and Productivity of the Irrigation Districts in Southern Alberta," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2751-2766, August.
    9. Watkins, K. Bradley & Henry, Chris G. & Hardke, Jarrod T. & Mane, Ranjitsinh U. & Mazzanti, Ralph & Baker, Ron, 2021. "Non-radial technical efficiency measurement of irrigation water relative to other inputs used in Arkansas rice production," Agricultural Water Management, Elsevier, vol. 244(C).
    10. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    11. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
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