IDEAS home Printed from https://ideas.repec.org/p/aua/wpaper/2011-1.html
   My bibliography  Save this paper

Nonparametric approach for measuring the productivity change and assessing the water use efficiency in the irrigated areas of Tunisia

Author

Listed:
  • Fraj Chemak

    (Rural Economic Laboratory , National Institute for Agricultural Research of Tunisia)

Abstract

In order to cope with the water scarcity, Tunisia has to manage efficiently the demand of the economic and social sectors mainly that of the agricultural irrigated activities. Within this context, this investigation aims to analyze the technical efficiency, the water use efficiency and the dynamic of the productivity of the irrigated areas in the Sidi Bouzid region. Farm surveys have been carried out during 2003 and 2007 harvesting years and technology performance has been assessed using Data Envelopment Analysis approach. Malmquist index has been also computed in order to characterize the productivity change. Empirical findings showed that the technical efficiency of the farms has increased by 19% during this period leading to an improvement of the water use efficiency up to 24%. Both, the technical efficiency change as well as the technical change reveal a positive impact on the productivity change. However, in 2007, the water use efficiency was only 79%. Therefore, farmers have to improve further their irrigated practices in order to save more water.

Suggested Citation

  • Fraj Chemak, 2011. "Nonparametric approach for measuring the productivity change and assessing the water use efficiency in the irrigated areas of Tunisia," Working Papers 2011-1, Agricultural University of Athens, Department Of Agricultural Economics.
  • Handle: RePEc:aua:wpaper:2011-1
    as

    Download full text from publisher

    File URL: http://aoatools.aua.gr/RePEc/aua/wpaper/files/2011_1_cemak.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bert Balk, 2001. "Scale Efficiency and Productivity Change," Journal of Productivity Analysis, Springer, vol. 15(3), pages 159-183, May.
    2. Emrouznejad, Ali & Parker, Barnett R. & Tavares, Gabriel, 2008. "Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA," Socio-Economic Planning Sciences, Elsevier, vol. 42(3), pages 151-157, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Valentin Zelenyuk, 2023. "Productivity analysis: roots, foundations, trends and perspectives," Journal of Productivity Analysis, Springer, vol. 60(3), pages 229-247, December.
    2. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2014. "An international comparison of educational systems: an application of the global Malmquist-Luenberger index," Working Papers 2014/18, Economics Department, Universitat Jaume I, Castellón (Spain).
    3. Zhao, Yu & Morita, Hiroshi & Maruyama, Yukihiro, 2019. "The measurement of productive performance with consideration for allocative efficiency," Omega, Elsevier, vol. 89(C), pages 21-39.
    4. Giménez, Víctor & Prieto, William & Prior, Diego & Tortosa-Ausina, Emili, 2019. "Evaluation of efficiency in Colombian hospitals: An analysis for the post-reform period," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 20-35.
    5. Víctor Giménez & Claudio Thieme & Diego Prior & Emili Tortosa-Ausina, 2019. "Comparing the Performance of National Educational Systems: Inequality Versus Achievement?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(2), pages 581-609, January.
    6. Mohamed Dia & Pawoumodom M. Takouda & Amirmohsen Golmohammadi, 2022. "Assessing the performance of Canadian credit unions using a three-stage network bootstrap DEA," Annals of Operations Research, Springer, vol. 311(2), pages 641-673, April.
    7. Bo Li & Muhammad Mohiuddin & Qian Liu, 2019. "Determinants and Differences of Township Hospital Efficiency among Chinese Provinces," IJERPH, MDPI, vol. 16(9), pages 1-16, May.
    8. Helmi Hammami & Thanh Ngo & David Tripe & Dinh-Tri Vo, 2022. "Ranking with a Euclidean common set of weights in data envelopment analysis: with application to the Eurozone banking sector," Annals of Operations Research, Springer, vol. 311(2), pages 675-694, April.
    9. Luis Orea & David Roibás & Alan Wall, 2004. "Choosing the Technical Efficiency Orientation to Analyze Firms' Technology: A Model Selection Test Approach," Journal of Productivity Analysis, Springer, vol. 22(1), pages 51-71, July.
    10. Inanoglu, Hulusi & Jacobs, Michael, Jr. & Liu, Junrong & Sickles, Robin, 2015. "Analyzing Bank Efficiency: Are "Too-Big-to-Fail" Banks Efficient?," Working Papers 15-016, Rice University, Department of Economics.
    11. Athanasoglou, Panayiotis P. & Georgiou, Evangelia A. & Staikouras, Christos C., 2009. "Assessing output and productivity growth in the banking industry," The Quarterly Review of Economics and Finance, Elsevier, vol. 49(4), pages 1317-1340, November.
    12. Feng Li & Qingyuan Zhu & Jun Zhuang, 2018. "Analysis of fire protection efficiency in the United States: a two-stage DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 23-68, January.
    13. Sueyoshi, Toshiyuki & Goto, Mika, 2012. "DEA environmental assessment of coal fired power plants: Methodological comparison between radial and non-radial models," Energy Economics, Elsevier, vol. 34(6), pages 1854-1863.
    14. Mohammad Ataei & Soamayeh Naserian, 2015. "An Assessment Study on the Efficiency of Banks through Data Envelopment Analysis (DEA). Case Study: A Bank Based in Tehran," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 5(4), pages 105-110, October.
    15. Coppola, A. & Ianuario, S. & Chinnici, G. & Di Vita, G. & Pappalardo, G. & D'Amico, D., 2018. "Endogenous and Exogenous Determinants of Agricultural Productivity: What Is the Most Relevant for the Competitiveness of the Italian Agricultural Systems?," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 10(2).
    16. Bettina Campedelli & Andrea Guerrina & Giulia Romano & Chiara Leardini, 2014. "La performance della rete ospedaliera pubblica della regione Veneto. L?impatto delle variabili ambientali e operative sull?efficienza," MECOSAN, FrancoAngeli Editore, vol. 2014(92), pages 119-142.
    17. Pontus Mattsson & Jonas Månsson & Christian Andersson & Fredrik Bonander, 2018. "A bootstrapped Malmquist index applied to Swedish district courts," European Journal of Law and Economics, Springer, vol. 46(1), pages 109-139, August.
    18. Aurélie Corne & Olga Goncalves & Nicolas Peypoch, 2020. "Evaluating the performance drivers of French ski resorts: A hierarchical approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 389-405, April.
    19. Kwon, He-Boong & Lee, Jooh, 2019. "Exploring the differential impact of environmental sustainability, operational efficiency, and corporate reputation on market valuation in high-tech-oriented firms," International Journal of Production Economics, Elsevier, vol. 211(C), pages 1-14.
    20. Thangavelu, Shandre M. & Chongvilaivan, Aekapol, 2013. "Financial Health and Firm Productivity: Firm-level Evidence from Viet Nam," ADBI Working Papers 434, Asian Development Bank Institute.

    More about this item

    Keywords

    Irrigated Area; Technical Efficiency; Water Use Efficiency; Productivity Change; Data Envelopment Analysis;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q25 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Water

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aua:wpaper:2011-1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Kremmydas dimitrios (email available below). General contact details of provider: https://edirc.repec.org/data/daauagr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.