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Environmental efficiency of wine grape production in Mendoza, Argentina

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  • Riera, Félix Sebastián
  • Brümmer, Bernhard

Abstract

The natural characteristics are a valuable asset for the production of wine grapes, but the availability of quality water and the composition of the soil are decisive in semi-arid areas. The province of Mendoza is a prestigious region for the production of wine that is going through a period of water scarcity, which implies a greater use of groundwater that could compromise the availability of resources and trigger salinity levels. This paper evaluates the environmental performance of winegrowers in the face of a productive threat such as the saline content in irrigation water. We estimate environmental efficiency based on a directional output distance function using the salinity hazard of irrigation as an undesirable output. The average environmental performance is 0.88 and it can be reduced by participating in producer groups, receiving technical assistance, increasing the density of the vineyard, and receiving an energy subsidy for irrigation. In addition, the shadow price of the salinity hazard reveals that higher salinity content in irrigation water and soil characteristics cause excessive irrigation at the expense of environmental and economic performance. Furthermore, the pre-existing market price relationship, water balance and district characteristics can deflate shadow prices, but only vineyards with joint water sources can benefit from this.

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  • Riera, Félix Sebastián & Brümmer, Bernhard, 2022. "Environmental efficiency of wine grape production in Mendoza, Argentina," Agricultural Water Management, Elsevier, vol. 262(C).
    • Handle: RePEc:eee:agiwat:v:262:y:2022:i:c:s0378377421006533
    DOI: 10.1016/j.agwat.2021.107376
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    1. Fernandez C. & Koop G. & Steel M.F.J., 2002. "Multiple-Output Production With Undesirable Outputs: An Application to Nitrogen Surplus in Agriculture," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 432-442, June.
    2. Francesc Hernández-Sancho & Birguy Lamizana-Diallo & William Ingram, 2017. "Valuing environmental and health impacts from no action in wastewater management," Chapters, in: Tihomir Ancev & M. A.S. Azad & Francesc Hernández-Sancho (ed.), New Directions in Productivity Measurement and Efficiency Analysis, chapter 10, pages 217-231, Edward Elgar Publishing.
    3. Tihomir Ancev & M. A.S. Azad & Francesc Hernández-Sancho (ed.), 2017. "New Directions in Productivity Measurement and Efficiency Analysis," Books, Edward Elgar Publishing, number 17409.
    4. Njuki, Eric & Bravo-Ureta, Boris E. & Mukherjee, Deep, 2016. "The Good and the Bad: Environmental Efficiency in Northeastern U.S. Dairy Farming," Agricultural and Resource Economics Review, Cambridge University Press, vol. 45(1), pages 22-43, April.
    5. Rafael Cuesta & José Zofío, 2005. "Hyperbolic Efficiency and Parametric Distance Functions: With Application to Spanish Savings Banks," Journal of Productivity Analysis, Springer, vol. 24(1), pages 31-48, September.
    6. Hung-jen Wang & Peter Schmidt, 2002. "One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels," Journal of Productivity Analysis, Springer, vol. 18(2), pages 129-144, September.
    7. Rolf Färe & Michael Vardanyan, 2016. "A note on parameterizing input distance functions: does the choice of a functional form matter?," Journal of Productivity Analysis, Springer, vol. 45(2), pages 121-130, April.
    8. Antonio Alvarez & Christine Amsler & Luis Orea & Peter Schmidt, 2006. "Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics," Journal of Productivity Analysis, Springer, vol. 25(3), pages 201-212, June.
    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. Huang, Wei & Bruemmer, Bernhard & Huntsinger, Lynn, 2016. "Incorporating measures of grassland productivity into efficiency estimates for livestock grazing on the Qinghai-Tibetan Plateau in China," Ecological Economics, Elsevier, vol. 122(C), pages 1-11.
    11. Atakelty Hailu & Terrence S. Veeman, 2001. "Non-parametric Productivity Analysis with Undesirable Outputs: An Application to the Canadian Pulp and Paper Industry," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 605-616.
    12. Fare, Rolf & Grosskopf, Shawna & Noh, Dong-Woon & Weber, William, 2005. "Characteristics of a polluting technology: theory and practice," Journal of Econometrics, Elsevier, vol. 126(2), pages 469-492, June.
    13. Färe, Rolf & Grosskopf, Shawna & Pasurka, Carl A., 2007. "Environmental production functions and environmental directional distance functions," Energy, Elsevier, vol. 32(7), pages 1055-1066.
    14. Eric Njuki & Boris E. Bravo-Ureta, 2015. "The Economic Costs of Environmental Regulation in U.S. Dairy Farming: A Directional Distance Function Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(4), pages 1087-1106.
    15. V. Eldon Ball & Jean-Pierre Butault & Carlos San Juan Mesonada, 2004. "Measuring Real Capital Input in OECD Agriculture," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 52(3), pages 351-370, November.
    16. Stijn Reinhard & C.A. Knox Lovell & Geert Thijssen, 1999. "Econometric Estimation of Technical and Environmental Efficiency: An Application to Dutch Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(1), pages 44-60.
    17. Rolf Färe & Shawna Grosskopf, 2000. "Theory and Application of Directional Distance Functions," Journal of Productivity Analysis, Springer, vol. 13(2), pages 93-103, March.
    18. Tiho Ancev & M.A. Samad Azad & Mahmuda Akter, 2017. "Environmentally adjusted productivity and efficiency: a review of concepts, methods and empirical work," Chapters, in: Tihomir Ancev & M. A.S. Azad & Francesc Hernández-Sancho (ed.), New Directions in Productivity Measurement and Efficiency Analysis, chapter 2, pages 9-58, Edward Elgar Publishing.
    19. Parmeter, Christopher F. & Kumbhakar, Subal C., 2014. "Efficiency Analysis: A Primer on Recent Advances," Foundations and Trends(R) in Econometrics, now publishers, vol. 7(3-4), pages 191-385, December.
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    2. Noa Ohana-Levi & Yishai Netzer, 2023. "Long-Term Trends of Global Wine Market," Agriculture, MDPI, vol. 13(1), pages 1-26, January.

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