IDEAS home Printed from https://ideas.repec.org/p/ags/aare08/6004.html
   My bibliography  Save this paper

Measuring Environmental Performance of Irrigated Cotton Enterprises

Author

Listed:
  • Azad, Md Abdus Samad
  • Liem, Monica
  • Ancev, Tihomir
  • Lee, Lisa Yu-Ting

Abstract

Irrigation enterprises can be evaluated from a perspective of technical and environmental efficiency. This study determines the technical and environmental efficiency in irrigated cotton enterprises. This is achieved by investigating efficiency at cotton enterprise in the case study area of the Mooki Catchment, located in northern New South Wales. Deep drainage loss which contributes to salinity is considered as an environmental detrimental output. Using four different specifications of Data Envelopment Analysis relative efficiency rankings are determined for each agricultural area in the catchment. This result is then compared to biophysical characteristics from previous studies to help identify the particular features of an area which may influence outcomes that are both environmentally sound and economically efficient. With the identification of the most and least efficient cotton irrigating areas in the region, policymakers can construct a relative ranking system to best determine policy directions in order to achieve economic and environmental objectives.

Suggested Citation

  • Azad, Md Abdus Samad & Liem, Monica & Ancev, Tihomir & Lee, Lisa Yu-Ting, 2008. "Measuring Environmental Performance of Irrigated Cotton Enterprises," 2008 Conference (52nd), February 5-8, 2008, Canberra, Australia 6004, Australian Agricultural and Resource Economics Society.
    • Handle: RePEc:ags:aare08:6004
    DOI: 10.22004/ag.econ.6004
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/6004/files/cp08az01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.6004?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. Chakraborty, Kalyan & Misra, Sukant & Johnson, Phillip, 2002. "Cotton Farmers' Technical Efficiency: Stochastic and Nonstochastic Production Function Approaches," Agricultural and Resource Economics Review, Cambridge University Press, vol. 31(2), pages 211-220, October.
    2. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    3. Cinzia Daraio & Léopold Simar, 2005. "Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach," Journal of Productivity Analysis, Springer, vol. 24(1), pages 93-121, September.
    4. Fare, Rolf, et al, 1989. "Multilateral Productivity Comparisons When Some Outputs Are Undesirable: A Nonparametric Approach," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 90-98, February.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    7. Daniel Tyteca, 1997. "Linear Programming Models for the Measurement of Environmental Performance of Firms—Concepts and Empirical Results," Journal of Productivity Analysis, Springer, vol. 8(2), pages 183-197, May.
    8. V.E. Ball & C.A K. Lovell & R.F. Nehring & A. Somwaru, 1994. "Incorporating indesirable outputs into models of production: an application to US agriculture," Cahiers d'Economie et Sociologie Rurales, INRA Department of Economics, vol. 31, pages 59-74.
    9. Tennakoon, S. B. & Milroy, S. P., 2003. "Crop water use and water use efficiency on irrigated cotton farms in Australia," Agricultural Water Management, Elsevier, vol. 61(3), pages 179-194, July.
    10. Fare, Rolf, et al, 1993. "Derivation of Shadow Prices for Undesirable Outputs: A Distance Function Approach," The Review of Economics and Statistics, MIT Press, vol. 75(2), pages 374-380, May.
    11. Mika Kortelainen & Timo Kuosmanen, 2004. "Measuring Eco-efficiency of Production: A Frontier Approach," Econometrics 0411006, University Library of Munich, Germany.
    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. M. A. Samad Azad & Tihomir Ancev, 2016. "Economics of Salinity Effects from Irrigated Cotton: An Efficiency Analysis," Water Economics and Policy (WEP), World Scientific Publishing Co. Pte. Ltd., vol. 2(01), pages 1-24, March.
    2. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    3. Hoang, Viet-Ngu & Coelli, Tim, 2011. "Measurement of agricultural total factor productivity growth incorporating environmental factors: A nutrients balance approach," Journal of Environmental Economics and Management, Elsevier, vol. 62(3), pages 462-474.
    4. Zhou, Peng & Poh, Kim Leng & Ang, Beng Wah, 2007. "A non-radial DEA approach to measuring environmental performance," European Journal of Operational Research, Elsevier, vol. 178(1), pages 1-9, April.
    5. Reinhard Madlener & Carlos Henggeler Antunes & Luis C. Dias, 2006. "Multi-Criteria versus Data Envelopment Analysis for Assessing the Performance of Biogas Plants," CEPE Working paper series 06-49, CEPE Center for Energy Policy and Economics, ETH Zurich.
    6. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    7. César Salazar & Roberto Cárdenas-Retamal & Marcela Jaime, 2023. "Environmental efficiency in the salmon industry—an exploratory analysis around the 2007 ISA virus outbreak and subsequent regulations in Chile," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(8), pages 8107-8135, August.
    8. George Halkos & George Papageorgiou, 2016. "Spatial environmental efficiency indicators in regional waste generation: a nonparametric approach," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 59(1), pages 62-78, January.
    9. Hailu, Atakelty & Hailu, Atakelty, 2003. "Pollution abatement and productivity performance of regional Canadian pulp and paper industries," Journal of Forest Economics, Elsevier, vol. 9(1), pages 5-25.
    10. Behrouz Arabi & Susila Munisamy Doraisamy & Ali Emrouznejad & Alireza Khoshroo, 2017. "Eco-efficiency measurement and material balance principle: an application in power plants Malmquist Luenberger Index," Annals of Operations Research, Springer, vol. 255(1), pages 221-239, August.
    11. Hoang, Viet-Ngu & Rao, D.S. Prasada, 2010. "Measuring and decomposing sustainable efficiency in agricultural production: A cumulative exergy balance approach," Ecological Economics, Elsevier, vol. 69(9), pages 1765-1776, July.
    12. Halkos, George E. & Tzeremes, Nickolaos G., 2013. "A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions," European Journal of Operational Research, Elsevier, vol. 227(1), pages 182-189.
    13. Leleu, Hervé, 2013. "Shadow pricing of undesirable outputs in nonparametric analysis," European Journal of Operational Research, Elsevier, vol. 231(2), pages 474-480.
    14. Reinhard, Stijn & Knox Lovell, C. A. & Thijssen, Geert J., 2000. "Environmental efficiency with multiple environmentally detrimental variables; estimated with SFA and DEA," European Journal of Operational Research, Elsevier, vol. 121(2), pages 287-303, March.
    15. Torstein Bye & Annegrete Bruvoll & Jan Larsson, 2009. "Capacity Utilization in a Generalized Malmquist Index Including Environmental Factors: A Decomposition Analysis," Land Economics, University of Wisconsin Press, vol. 85(3), pages 529-538.
    16. Munksgaard, Jesper & Christoffersen, Line Block & Keiding, Hans & Pedersen, Ole Gravgard & Jensen, Trine S., 2007. "An environmental performance index for products reflecting damage costs," Ecological Economics, Elsevier, vol. 64(1), pages 119-130, October.
    17. Halkos, George & Petrou, Kleoniki Natalia, 2018. "A critical review of the main methods to treat undesirable outputs in DEA," MPRA Paper 90374, University Library of Munich, Germany.
    18. Skevas, Theodoros & Lansink, Alfons Oude & Stefanou, Spiro E., 2012. "Measuring technical efficiency in the presence of pesticide spillovers and production uncertainty: The case of Dutch arable farms," European Journal of Operational Research, Elsevier, vol. 223(2), pages 550-559.
    19. Tim Coelli & Ludwig Lauwers & Guido Huylenbroeck, 2007. "Environmental efficiency measurement and the materials balance condition," Journal of Productivity Analysis, Springer, vol. 28(1), pages 3-12, October.
    20. Tsolas, Ioannis E., 2011. "Performance assessment of mining operations using nonparametric production analysis: A bootstrapping approach in DEA," Resources Policy, Elsevier, vol. 36(2), pages 159-167, June.

    More about this item

    Keywords

    Crop Production/Industries; Environmental Economics and Policy; Land Economics/Use;
    All these keywords.

    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:aare08:6004. 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/aaresea.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.