IDEAS home Printed from https://ideas.repec.org/p/ags/aaae16/246948.html
   My bibliography  Save this paper

Measuring agricultural water productivity using a partial factor productivity approach

Author

Listed:
  • Njuki, Eric
  • Bravo-Ureta, Boris E.

Abstract

Water and agriculture are inextricably linked. Within Africa, several water-related challenges exist that present numerous obstacles and have the potential to impede Africa’s continued economic growth. These include: the threat of climate change, as characterized by extreme weather events such as floods, and frequent and intense droughts; a multiplicity of trans-boundary water resources without a coherent arrangement on riparian rights; lack of sufficient water infrastructure for supply and delivery of the water resource; and lack of official data on water use that can be used to formulate good public policy. All these factors have served to increase water scarcity and to raise the competition for scarce water resources between the agricultural sector and other sectors of the economy, such as industry and urban households. A prerequisite to mitigating these challenges is the establishment of an integrated water management system that promotes water productivity and efficiency. Thus, the primary objective of this study is to highlight methods and techniques for evaluating agricultural water productivity and water use efficiency that are replicable, globally. For this purpose we construct a total factor productivity index using the General index proposed in O’Donnell (2016), thereafter we demonstrate how to decompose the partial productivity of water using U.S. agricultural data for the period 1960-2004.

Suggested Citation

  • Njuki, Eric & Bravo-Ureta, Boris E., 2016. "Measuring agricultural water productivity using a partial factor productivity approach," 2016 Fifth International Conference, September 23-26, 2016, Addis Ababa, Ethiopia 246948, African Association of Agricultural Economists (AAAE).
    • Handle: RePEc:ags:aaae16:246948
    DOI: 10.22004/ag.econ.246948
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/246948/files/285.%20Measuring%20agricultural%20water%20productivity.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.246948?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
    ---><---

    References listed on IDEAS

    as
    1. Apurba Shee & Spiro E. Stefanou, 2015. "Endogeneity Corrected Stochastic Production Frontier and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(3), pages 939-952.
    2. Giordano, Meredith & de Fraiture, C. & Weight, Elizabeth & van der Bliek, Julie EC Eds., 2012. "Water for wealth and food security: supporting farmer-driven investments in agricultural water management. Synthesis report of the AgWater Solutions Project," IWMI Research Reports H045055, International Water Management Institute.
    3. Scheierling, S. M., 2014. "How to assess agricultural water productivity?: looking for water in the agricultural productivity and efficiency literature," IWMI Working Papers H046876, International Water Management Institute.
    4. Malcolm, Scott A. & Marshall, Elizabeth P. & Aillery, Marcel P. & Heisey, Paul W. & Livingston, Michael J. & Day-Rubenstein, Kelly A., 2012. "Agricultural Adaptation to a Changing Climate: Economic and Environmental Implications Vary by U.S. Region," Economic Research Report 127734, United States Department of Agriculture, Economic Research Service.
    5. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(3), pages 597-625, June.
    6. M. Hashem Pesaran, 2007. "A simple panel unit root test in the presence of cross-section dependence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(2), pages 265-312.
    7. Unknown, 2012. "Water for wealth and food security: supporting farmer-driven investments in agricultural water management. Synthesis report of the AgWater Solutions Project," IWMI Reports 158834, International Water Management Institute.
    8. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    9. V. Eldon Ball & Charles Hallahan & Richard Nehring, 2004. "Convergence of Productivity: An Analysis of the Catch-up Hypothesis within a Panel of States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1315-1321.
    10. G. Karagiannis & V. Tzouvelekas & A. Xepapadeas, 2003. "Measuring Irrigation Water Efficiency with a Stochastic Production Frontier," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 26(1), pages 57-72, September.
    11. Seckler, D. & Molden, D. & Sakthivadivel, R., 2003. "The concept of efficiency in water resources management and policy," IWMI Books, Reports H032634, International Water Management Institute.
    12. Raymond J. Kopp, 1981. "The Measurement of Productive Efficiency: A Reconsideration," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 96(3), pages 477-503.
    13. Molden, David & Oweis, T. Y. & Pasquale, S. & Kijne, Jacob W. & Hanjra, M. A. & Bindraban, P. S. & Bouman, Bas A. M. & Cook, S. & Erenstein, O. & Farahani, H. & Hachum, A. & Hoogeveen, J. & Mahoo, Hen, 2007. "Pathways for increasing agricultural water productivity," Book Chapters,, International Water Management Institute.
    14. Tran, Kien C. & Tsionas, Efthymios G., 2013. "GMM estimation of stochastic frontier model with endogenous regressors," Economics Letters, Elsevier, vol. 118(1), pages 233-236.
    15. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-771, September.
    16. Giordano, Meredith & de Fraiture, C. & Weight, Elizabeth & van der Bliek, Julie EC Eds., 2012. "Water for wealth and food security: supporting farmer-driven investments in agricultural water management. Synthesis report of the AgWater Solutions Project," IWMI Research Reports H045022, International Water Management Institute.
    17. Kijne, Jacob W. & Barker, Randolph & Molden, David J. (ed.), 2003. "Water productivity in agriculture: limits and opportunities for improvement," IWMI Books, International Water Management Institute, number 138054.
    18. 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.
    19. Olivier Deschênes & Michael Greenstone, 2007. "The Economic Impacts of Climate Change: Evidence from Agricultural Output and Random Fluctuations in Weather," American Economic Review, American Economic Association, vol. 97(1), pages 354-385, March.
    20. Schaible, Glenn D. & Aillery, Marcel P., 2012. "Water Conservation in Irrigated Agriculture: Trends and Challenges in the Face of Emerging Demands," Economic Information Bulletin 134692, United States Department of Agriculture, Economic Research Service.
    21. Jonathan Kaminski & Iddo Kan & Aliza Fleischer, 2013. "A Structural Land-Use Analysis of Agricultural Adaptation to Climate Change: A Proactive Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(1), pages 70-93.
    22. G. S. Maddala & Shaowen Wu, 1999. "A Comparative Study of Unit Root Tests with Panel Data and a New Simple Test," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(S1), pages 631-652, November.
    23. 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.
    24. 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.
    25. repec:bla:obuest:v:61:y:1999:i:0:p:631-52 is not listed on IDEAS
    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. Njuki, Eric & Bravo-Ureta, Boris E., 2016. "Climatic Variability and Irrigation Water Efficiency in the United States: An Empirical Assessment of the 1987-2012 Period," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235555, Agricultural and Applied Economics Association.
    2. Eric Njuki & Boris E. Bravo-Ureta, 2019. "Examining irrigation productivity in U.S. agriculture using a single-factor approach," Journal of Productivity Analysis, Springer, vol. 51(2), pages 125-136, June.
    3. Eric Njuki & Boris E Bravo-Ureta & Christopher J O’Donnell, 2018. "A new look at the decomposition of agricultural productivity growth incorporating weather effects," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-21, February.
    4. Surender Kumar & Madhu Khanna, 2019. "Temperature and production efficiency growth: empirical evidence," Climatic Change, Springer, vol. 156(1), pages 209-229, September.
    5. Nguyen Bich Hong & Mitsuyasu Yabe, 2017. "Improvement in irrigation water use efficiency: a strategy for climate change adaptation and sustainable development of Vietnamese tea production," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(4), pages 1247-1263, August.
    6. Eric Njuki & Boris E. Bravo-Ureta & Christopher J. O’Donnell, 2019. "Decomposing agricultural productivity growth using a random-parameters stochastic production frontier," Empirical Economics, Springer, vol. 57(3), pages 839-860, September.
    7. 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.
    8. Giordano, Meredith & Turral, H. & Scheierling, S. M. & Treguer, D. O. & McCornick, Peter G, 2017. "Beyond “More Crop per Drop”: evolving thinking on agricultural water productivity," IWMI Research Reports 257962, International Water Management Institute.
    9. Bravo-Ureta, Boris E. & Jara-Rojas, Roberto & Lachaud, Michee A. & Moreira L., Victor H. & Scheierling, Susanne M., 2015. "Water and Farm Efficiency: Insights from the Frontier Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206076, Agricultural and Applied Economics Association.
    10. Li Chen & Bin Jiang & Chuan Wang, 2023. "Climate change and urban total factor productivity: evidence from capital cities and municipalities in China," Empirical Economics, Springer, vol. 65(1), pages 401-441, July.
    11. Laureti, Tiziana & Benedetti, Ilaria & Branca, Giacomo, 2021. "Water use efficiency and public goods conservation: A spatial stochastic frontier model applied to irrigation in Southern Italy," Socio-Economic Planning Sciences, Elsevier, vol. 73(C).
    12. O’Donnell, C.J., 2016. "Using information about technologies, markets and firm behaviour to decompose a proper productivity index," Journal of Econometrics, Elsevier, vol. 190(2), pages 328-340.
    13. Bouali Guesmi & Teresa Serra & Amr Radwan & José María Gil, 2018. "Efficiency of Egyptian organic agriculture: A local maximum likelihood approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(2), pages 441-455, March.
    14. Yoro Diallo & Sébastien Marchand & Etienne Espagne, 2019. "Impacts of extreme events on technical efficiency in Vietnamese agriculture," CIRED Working Papers halshs-02080285, HAL.
    15. Kumbhakar, Subal C. & Tsionas, Mike G., 2021. "Dissections of input and output efficiency: A generalized stochastic frontier model," International Journal of Production Economics, Elsevier, vol. 232(C).
    16. Sabrina Auci & Donatella Vignani, 2020. "Climate variability and agriculture in Italy: a stochastic frontier analysis at the regional level," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 37(2), pages 381-409, July.
    17. Ali, M.K., 2018. "Estimation of irrigation water use efficiency with a stochastic frontier model," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277354, International Association of Agricultural Economists.
    18. Etienne ESPAGNE & Yoro DIALLO & Sébastien MARCHAND, 2019. "Impacts of Extreme Climate Events on Technical Efficiency in Vietnamese Agriculture," Working Paper c1221ee7-5311-4af0-b1b4-3, Agence française de développement.
    19. Molden, David & Oweis, Theib & Steduto, Pasquale & Bindraban, Prem & Hanjra, Munir A. & Kijne, Jacob, 2010. "Improving agricultural water productivity: Between optimism and caution," Agricultural Water Management, Elsevier, vol. 97(4), pages 528-535, April.
    20. Sun, Huaping & Edziah, Bless Kofi & Sun, Chuanwang & Kporsu, Anthony Kwaku, 2022. "Institutional quality and its spatial spillover effects on energy efficiency," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).

    More about this item

    Keywords

    Environmental Economics and Policy; Resource /Energy Economics and Policy;

    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:ags:aaae16:246948. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaaeaea.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.