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Performances And Efficiencies Of The Irrigation Water Users’ Associations In Tunisia

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  • Frija, Aymen
  • Speelman, Stijn
  • Chebil, Ali
  • Buysse, Jeroen
  • Van Huylenbroeck, Guido

Abstract

This article analyzes the efficiency of Water Users Associations (WUA) in the Cap Bon region (Tunisia) and studies its main determinants. The analysis is performed in two stages. First, the efficiency is measured via the nonparametric “Data Envelopment Analysis” (DEA) technique. The DEA models are constructed not only to assess the overall WUA efficiency but also to evaluate the management and engineering sub-vectors efficiencies separately through a mathematical modification in the initial DEA model. In a second stage critical determinants of efficiency are determined using a Tobit model. In this analysis the focus is on technical (characteristics of the irrigation area and network), organizational and administrative variables. Results show that on average 18.7% of the used inputs could be saved if the WUA would operate on the frontier. The average scale efficiency, which can be calculated as the ratio between Constant and Variable Returns to Scale efficiency measures was around 71%, indicating that many WUAs are not operating at an efficient scale. Subvectors efficiencies show that WUAs present better performances in maintenance activities than in management. The inefficiency found can furthermore be mainly attributed to the number of years of experience in operating a WUA in addition to the number of water pumping stations managed and the rate of the exploited area. The scale inefficiencies are mainly due to administrative and organizational variables.

Suggested Citation

  • Frija, Aymen & Speelman, Stijn & Chebil, Ali & Buysse, Jeroen & Van Huylenbroeck, Guido, 2008. "Performances And Efficiencies Of The Irrigation Water Users’ Associations In Tunisia," 107th Seminar, January 30-February 1, 2008, Sevilla, Spain 6460, European Association of Agricultural Economists.
    • Handle: RePEc:ags:eaa107:6460
    DOI: 10.22004/ag.econ.6460
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    1. Alfons Oude Lansink & Ky–sti Pietola, 2002. "Effciency and productivity of conventional and organic farms in Finland 1994--1997," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 29(1), pages 51-66, March.
    2. Kris Siddharthan & Melissa Ahern & Robert Rosenman, 2000. "Data Envelopment Analysis to determine efficiencies of health maintenance organizations," Health Care Management Science, Springer, vol. 3(1), pages 23-29, January.
    3. Alfons Lansink & Elvira Silva, 2004. "Non-Parametric Production Analysis of Pesticides Use in the Netherlands," Journal of Productivity Analysis, Springer, vol. 21(1), pages 49-65, January.
    4. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    5. Balaguer-Coll, Maria Teresa & Prior, Diego & Tortosa-Ausina, Emili, 2007. "On the determinants of local government performance: A two-stage nonparametric approach," European Economic Review, Elsevier, vol. 51(2), pages 425-451, February.
    6. Darryl Holden, 2004. "Testing the Normality Assumption in the Tobit Model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 31(5), pages 521-532.
    7. Luo, Xueming, 2003. "Evaluating the profitability and marketability efficiency of large banks: An application of data envelopment analysis," Journal of Business Research, Elsevier, vol. 56(8), pages 627-635, August.
    8. Knox, Anna & Meinzen-Dick, Ruth Suseela, 2000. "Collective action, property rights, and devolution of natural resource management: exchange of knowledge and implications for policy," CAPRi working papers 11, International Food Policy Research Institute (IFPRI).
    9. António Afonso & Mariana Santos, 2005. "Students and Teachers: A DEA Approach to the Relative Efficiency of Portuguese Public Universities," Working Papers Department of Economics 2005/07, ISEG - Lisbon School of Economics and Management, Department of Economics, Universidade de Lisboa.
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    Keywords

    Institutional and Behavioral Economics; Land Economics/Use;

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