IDEAS home Printed from https://ideas.repec.org/a/bla/agecon/v45y2014i4p421-430.html
   My bibliography  Save this article

Irrigation water productivity in Cambodian rice systems

Author

Listed:
  • Christopher Wokker
  • Paulo Santos
  • Ros Bansok

Abstract

Knowledge of the marginal productivity of water is crucial for decisions about its allocation between uses, which is particularly important in the context of increasing competition for water. Using primary, plot-level panel data, this article estimates the marginal productivity of water from supplementary irrigation in lowland rice systems in Cambodia, taking into account farmer and plot heterogeneity as well as self-selection of supplementary irrigation. Our estimates indicate a range of elasticities for rice output with respect to water inputs of between 0.057 and 0.069 for wet season production, substantially lower than previous estimates based on either aggregate or trial data. We discuss the policy implications of these results, in particular with respect to the utility of demand management policies and the challenges they pose to the decentralization of water management to Farmer Water Users Groups.

Suggested Citation

  • Christopher Wokker & Paulo Santos & Ros Bansok, 2014. "Irrigation water productivity in Cambodian rice systems," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 421-430, July.
    • Handle: RePEc:bla:agecon:v:45:y:2014:i:4:p:421-430
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/agec.12096
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Hafeez, M.M. & Bouman, B.A.M. & Van de Giesen, N. & Vlek, P., 2007. "Scale effects on water use and water productivity in a rice-based irrigation system (UPRIIS) in the Philippines," Agricultural Water Management, Elsevier, vol. 92(1-2), pages 81-89, August.
    2. Cabangon, R. J. & Tuong, T. P. & Abdullah, N. B., 2002. "Comparing water input and water productivity of transplanted and direct-seeded rice production systems," Agricultural Water Management, Elsevier, vol. 57(1), pages 11-31, September.
    3. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    4. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    5. World Bank, 2006. "Reengaging in Agricultural Water Management: Challenges and Options," World Bank Publications - Books, The World Bank Group, number 6957.
    6. Kijne, J. W. & Barker, R. & Molden. D., 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, Reports H032631, International Water Management Institute.
    7. Cook, Simon, 2006. "Agricultural water productivity: issues, concepts and approaches," IWMI Working Papers H039744, International Water Management Institute.
    8. Mainuddin, Mohammed & Kirby, Mac, 2009. "Spatial and temporal trends of water productivity in the lower Mekong River Basin," Agricultural Water Management, Elsevier, vol. 96(11), pages 1567-1578, November.
    9. George E. Battese, 1997. "A Note On The Estimation Of Cobb‐Douglas Production Functions When Some Explanatory Variables Have Zero Values," Journal of Agricultural Economics, Wiley Blackwell, vol. 48(1‐3), pages 250-252, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Budy P. Resosudarmo & Kimlong Chheng, 2021. "Irrigation inequality, rice farming productivity and food insecurity in rural Cambodia," Departmental Working Papers 2021-19, The Australian National University, Arndt-Corden Department of Economics.
    2. Owusu-Sekyere, Enoch & Bibariwiah, Cindy & Owusu, Victor & Donkor, Emmanuel, 2021. "Farming under irrigation management transfer scheme and its impact on yield and net returns in Ghana," Land Use Policy, Elsevier, vol. 102(C).
    3. Jing Liu & Yu Zhang & Zhongbo Yu, 2018. "Evaluation of Physical and Economic Water-Saving Efficiency for Virtual Water Flows Related to Inter-Regional Crop Trade in China," Sustainability, MDPI, vol. 10(11), pages 1-10, November.
    4. X. C. Cao & R. Shu & X. P. Guo & W. G. Wang, 2019. "Scarce water resources and priority irrigation schemes from agronomic crops," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(3), pages 399-417, March.
    5. Cao, Xinchun & Zeng, Wen & Wu, Mengyang & Guo, Xiangping & Wang, Weiguang, 2020. "Hybrid analytical framework for regional agricultural water resource utilization and efficiency evaluation," Agricultural Water Management, Elsevier, vol. 231(C).

    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. Bouman, Bas A. M. & Barker, Randolph & Humphreys, E. & Tuong, T. P. & Atlin, G. & Bennett, John & Dawe, D. & Dittert, K. & Dobermann, A. & Facon, Thierry & Fujimoto, N. & Gupta, R. & Haefele, S. & Hos, 2007. "Rice: feeding the billions," Book Chapters,, International Water Management Institute.
      • Bouman, B. & Barker, R. & Humphreys, E. & Tuong, T. P. & Atlin, G. & Bennett, J. & Dawe, D. & Dittert, K. & Dobermann, A. & Facon, T. & Fujimoto, N. & Gupta, R. & Haefele, S. & Hosen, Y. & Ismail, A. , 2007. "Rice: feeding the billions," IWMI Books, Reports H040206, International Water Management Institute.
    2. Li, Xiaolin & Tong, Ling & Niu, Jun & Kang, Shaozhong & Du, Taisheng & Li, Sien & Ding, Risheng, 2017. "Spatio-temporal distribution of irrigation water productivity and its driving factors for cereal crops in Hexi Corridor, Northwest China," Agricultural Water Management, Elsevier, vol. 179(C), pages 55-63.
    3. Hafeez, Mohsin & Bundschuh, Jochen & Mushtaq, Shahbaz, 2014. "Exploring synergies and tradeoffs: Energy, water, and economic implications of water reuse in rice-based irrigation systems," Applied Energy, Elsevier, vol. 114(C), pages 889-900.
    4. Budy P. Resosudarmo & Kimlong Chheng, 2021. "Irrigation inequality, rice farming productivity and food insecurity in rural Cambodia," Departmental Working Papers 2021-19, The Australian National University, Arndt-Corden Department of Economics.
    5. Mainuddin, Mohammed & Maniruzzaman, Md. & Alam, Md. Mahbubul & Mojid, Mohammad A. & Schmidt, Erik J. & Islam, Md. Towfiqul & Scobie, Michael, 2020. "Water usage and productivity of Boro rice at the field level and their impacts on the sustainable groundwater irrigation in the North-West Bangladesh," Agricultural Water Management, Elsevier, vol. 240(C).
    6. Monaco, Federica & Sali, Guido, 2018. "How water amounts and management options drive Irrigation Water Productivity of rice. A multivariate analysis based on field experiment data," Agricultural Water Management, Elsevier, vol. 195(C), pages 47-57.
    7. Mainuddin, Mohammed & Kirby, Mac, 2009. "Spatial and temporal trends of water productivity in the lower Mekong River Basin," Agricultural Water Management, Elsevier, vol. 96(11), pages 1567-1578, November.
    8. Scheierling, Susanne M. & Treguer, David O. & Booker, James F., 2015. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205677, Agricultural and Applied Economics Association.
    9. Immerzeel, W.W. & Gaur, A. & Zwart, S.J., 2008. "Integrating remote sensing and a process-based hydrological model to evaluate water use and productivity in a south Indian catchment," Agricultural Water Management, Elsevier, vol. 95(1), pages 11-24, January.
    10. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    11. Mohammad Alauddin & Upali A. Amarasinghe & Bharat R. Sharma, 2014. "Four decades of rice water productivity in Bangladesh: A spatio-temporal analysis of district level panel data," Economic Analysis and Policy, Elsevier, vol. 44(1), pages 51-64.
    12. 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.
    13. Bouman, B. A.M., 2007. "A conceptual framework for the improvement of crop water productivity at different spatial scales," Agricultural Systems, Elsevier, vol. 93(1-3), pages 43-60, March.
    14. Brar, Harjeet Singh & Singh, Pritpal, 2022. "Pre-and post-sowing irrigation scheduling impacts on crop phenology and water productivity of cotton (Gossypium hirsutum L.) in sub-tropical north-western India," Agricultural Water Management, Elsevier, vol. 274(C).
    15. van der Kooij, Saskia & Zwarteveen, Margreet & Boesveld, Harm & Kuper, Marcel, 2013. "The efficiency of drip irrigation unpacked," Agricultural Water Management, Elsevier, vol. 123(C), pages 103-110.
    16. Abdulazeez Hudu Wudil & Asghar Ali & Khalid Mushtaq & Sajjad Ahmad Baig & Magdalena Radulescu & Piotr Prus & Muhammad Usman & László Vasa, 2023. "Water Use Efficiency and Productivity of Irrigated Rice Cultivation in Nigeria: An Application of the Stochastic Frontier Approach," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    17. Geerts, S. & Raes, D. & Garcia, M., 2010. "Using AquaCrop to derive deficit irrigation schedules," Agricultural Water Management, Elsevier, vol. 98(1), pages 213-216, December.
    18. Linker, Raphael & Ioslovich, Ilya & Sylaios, Georgios & Plauborg, Finn & Battilani, Adriano, 2016. "Optimal model-based deficit irrigation scheduling using AquaCrop: A simulation study with cotton, potato and tomato," Agricultural Water Management, Elsevier, vol. 163(C), pages 236-243.
    19. Yan, Nana & Wu, Bingfang, 2014. "Integrated spatial–temporal analysis of crop water productivity of winter wheat in Hai Basin," Agricultural Water Management, Elsevier, vol. 133(C), pages 24-33.
    20. Faloye, O.T. & Alatise, M.O. & Ajayi, A.E. & Ewulo, B.S., 2019. "Effects of biochar and inorganic fertiliser applications on growth, yield and water use efficiency of maize under deficit irrigation," Agricultural Water Management, Elsevier, vol. 217(C), pages 165-178.

    More about this item

    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:bla:agecon:v:45:y:2014:i:4:p:421-430. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.