IDEAS home Printed from https://ideas.repec.org/a/spr/envpol/v19y2017i4d10.1007_s10018-016-0176-z.html
   My bibliography  Save this article

Is there a locational productivity advantage for rice cultivation? Results from a technical efficiency analysis of water use in Sri Lankan village irrigation systems

Author

Listed:
  • Mohottala G. Kularatne

    (University of Kelaniya)

  • Namal N. Balasooriya

    (University of Kelaniya)

  • Sean Pascoe

    (CSIRO Marine and Atmospheric Research, Ecosciences Precinct)

  • Clevo Wilson

    (Queensland University of Technology)

Abstract

Allocating water among agricultural land is a complex issue. This is especially the case when there is a shortage of water. In this paper, we examine a traditional Sri Lankan water allocation system (known as Bethama) where farmers make collective decisions at the village level to determine the allocation of available reservoir water for the land that can be cultivated. This system of water allocation becomes more problematic when water for cultivation becomes scarce. Importantly, such decisions can have an impact on productivity given that the literature indicates there is a negative relationship between rice yield and the distance of farms from the water source in irrigated agriculture. In addition to testing this hypothesis, we also examine factors influencing inefficient rice production in different locations of the command area (cultivable land) within village irrigation systems (VISs). To do so, a stochastic production frontier analysis is utilised using a technical inefficiency model. This methodology provides a means of examining locational productive performance and its determinants. Primary data was collected from 460 rice farmers in the Kurunegala district in order to estimate technical efficiency in the three sub-locations of the command area: head-end fields (HEFs), middle fields (MFs) and tail-end fields (TEFs). We show that there is no ‘head–tail’ syndrome in VISs when an adequate supply of water is made available to all three sub-locations of the command area. Interestingly, the results show that TEFs are more productive than HEFs in the command area.

Suggested Citation

  • Mohottala G. Kularatne & Namal N. Balasooriya & Sean Pascoe & Clevo Wilson, 2017. "Is there a locational productivity advantage for rice cultivation? Results from a technical efficiency analysis of water use in Sri Lankan village irrigation systems," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 19(4), pages 789-806, October.
  • Handle: RePEc:spr:envpol:v:19:y:2017:i:4:d:10.1007_s10018-016-0176-z
    DOI: 10.1007/s10018-016-0176-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10018-016-0176-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10018-016-0176-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    2. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (II): Applications of the Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 2, number fuss1978a.
    3. Ujjayant Chakravorty & James Roumasset, 1991. "Efficient Spatial Allocation of Irrigation Water," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(1), pages 165-173.
    4. Arne Henningsen & Christian Henning, 2009. "Imposing regional monotonicity on translog stochastic production frontiers with a simple three-step procedure," Journal of Productivity Analysis, Springer, vol. 32(3), pages 217-229, December.
    5. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-444, June.
    6. Seok-Oh Jeong & Byeong Park & Léopold Simar, 2010. "Nonparametric conditional efficiency measures: asymptotic properties," Annals of Operations Research, Springer, vol. 173(1), pages 105-122, January.
    7. Hirofumi Fukuyama & Yuichiro Yoshida & Shunsuke Managi, 2011. "Modal choice between air and rail: a social efficiency benchmarking analysis that considers CO 2 emissions," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 13(2), pages 89-102, June.
    8. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    9. Johannes Sauer & Klaus Frohberg & Heinrich Hockmann, 2006. "Stochastic Efficiency Measurement: The Curse of Theoretical Consistency," Journal of Applied Economics, Taylor & Francis Journals, vol. 9(1), pages 139-165, May.
    10. Fuss, Melvyn & McFadden, Daniel (ed.), 1978. "Production Economics: A Dual Approach to Theory and Applications," Elsevier Monographs, Elsevier, edition 1, number 9780444850133.
    11. Fuss, Melvyn & McFadden, Daniel, 1978. "Production Economics: A Dual Approach to Theory and Applications (I): The Theory of Production," History of Economic Thought Books, McMaster University Archive for the History of Economic Thought, volume 1, number fuss1978.
    12. George Halkos & Shunsuke Managi & Nickolaos Tzeremes, 2015. "The effect of natural and man-made disasters on countries’ production efficiency," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 4(1), pages 1-13, December.
    13. Johannes Sauer & Klaus Frohberg & Henrich Hockmann, 2006. "Stochastic efficiency measurement: The curse of theoretical consistency," Journal of Applied Economics, Universidad del CEMA, vol. 9, pages 139-166, May.
    14. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
    15. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
    16. Makiko Nakano & Shunsuke Managi, 2012. "Waste generations and efficiency measures in Japan," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 14(4), pages 327-339, October.
    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. Michaelides, Panayotis G. & Vouldis, Angelos T. & Tsionas, Efthymios G., 2010. "Globally flexible functional forms: The neural distance function," European Journal of Operational Research, Elsevier, vol. 206(2), pages 456-469, October.
    2. Arne Henningsen & Christian Henning, 2009. "Imposing regional monotonicity on translog stochastic production frontiers with a simple three-step procedure," Journal of Productivity Analysis, Springer, vol. 32(3), pages 217-229, December.
    3. Van Ha, Nguyen & Kant, Shashi & Maclaren, Virginia, 2008. "Shadow prices of environmental outputs and production efficiency of household-level paper recycling units in Vietnam," Ecological Economics, Elsevier, vol. 65(1), pages 98-110, March.
    4. Mulwa, Richard & Kabubo-Mariara, Jane, 2017. "Productive Efficiency and Its Determinants in a Changing Climate: A Monotonic Translog Stochastic Frontier Analysis," EfD Discussion Paper 17-6, Environment for Development, University of Gothenburg.
    5. Dairo Estrada & Poldy Osorio, 2004. "Effects of Financial Capital on Colombian Banking Efficiency," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, vol. 22(47), pages 162-201, December.
    6. Taining Wang & Jinjing Tian & Feng Yao, 2021. "Does high debt ratio influence Chinese firms’ performance? A semiparametric stochastic frontier approach with zero inefficiency," Empirical Economics, Springer, vol. 61(2), pages 587-636, August.
    7. Tateishi, Henrique Ryosuke & Bragagnolo, Cassiano & de Faria, Rosane Nunes, 2020. "Economic and environmental efficiencies of greenhouse gases’ emissions under institutional influence," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    8. Collier, Trevor & Johnson, Andrew L. & Ruggiero, John, 2011. "Technical efficiency estimation with multiple inputs and multiple outputs using regression analysis," European Journal of Operational Research, Elsevier, vol. 208(2), pages 153-160, January.
    9. Shaik, Saleem, 2011. "Does accounting for inefficiency affect the time-varying short and long-run returns to scale?," IAMO Forum 2011: Will the "BRICs Decade" Continue? – Prospects for Trade and Growth 11, Leibniz Institute of Agricultural Development in Central and Eastern Europe (IAMO).
    10. Perelman, Sergio & Santín, Daniel, 2009. "How to generate regularly behaved production data? A Monte Carlo experimentation on DEA scale efficiency measurement," European Journal of Operational Research, Elsevier, vol. 199(1), pages 303-310, November.
    11. Pascoe, Sean & Hutton, Trevor & Coglan, Louisa & Nguyen, Van Quang, 2018. "Implications of efficiency and productivity change over the season for setting MEY-based trigger targets," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 62(2), April.
    12. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    13. Sébastien Marchand, 2011. "Technical Efficiency, Farm Size and Tropical Deforestation in the Brazilian Amazonian Forest," Working Papers halshs-00552981, HAL.
    14. Managi, Shunsuke & Opaluch, James J. & Jin, Di & Grigalunas, Thomas A., 2006. "Stochastic frontier analysis of total factor productivity in the offshore oil and gas industry," Ecological Economics, Elsevier, vol. 60(1), pages 204-215, November.
    15. Wollni, Meike & Brümmer, Bernhard, 2012. "Productive efficiency of specialty and conventional coffee farmers in Costa Rica: Accounting for technological heterogeneity and self-selection," Food Policy, Elsevier, vol. 37(1), pages 67-76.
    16. Holger Seebens & Johannes Sauer, 2007. "Bargaining power and efficiency-rural households in Ethiopia," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(7), pages 895-918.
    17. Anik, Asif Reza & Bauer, Siegfried, 2015. "Impact of resource ownership and input market access on Bangladeshi paddy growers’ efficiency," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 4(3), April.
    18. O'Donnell, Christopher J. & Coelli, Timothy J., 2005. "A Bayesian approach to imposing curvature on distance functions," Journal of Econometrics, Elsevier, vol. 126(2), pages 493-523, June.
    19. Maity, S., 2017. "Reform Raises Efficiency of Tea Estates in India," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.
    20. Roberto MOSHEIM, 2008. "Efficiency And Survival: The Impact Of The International Coffee Agreement'S Demise On Costa Rica'S Cooperative Coffee Processing, 1988–2005," Annals of Public and Cooperative Economics, Wiley Blackwell, vol. 79(1), pages 79-106, March.

    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:spr:envpol:v:19:y:2017:i:4:d:10.1007_s10018-016-0176-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.