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Optimum Returns from Greenhouse Vegetables under Water Quality and Risk Constraints in the United Arab Emirates

Author

Listed:
  • Eihab Fathelrahman

    (Department of Agribusiness and Consumer Sciences, College of Food and Agriculture, United Arab Emirates University, Al Ain 009713, United Arab Emirates)

  • Mohamed Gheblawi

    (Department of Agribusiness and Consumer Sciences, College of Food and Agriculture, United Arab Emirates University, Al Ain 009713, United Arab Emirates)

  • Safdar Muhammad

    (Department of Agribusiness and Consumer Sciences, College of Food and Agriculture, United Arab Emirates University, Al Ain 009713, United Arab Emirates)

  • Emily Dunn

    (Department of Agribusiness and Consumer Sciences, College of Food and Agriculture, United Arab Emirates University, Al Ain 009713, United Arab Emirates)

  • James C. Ascough

    (USDA-ARS, 1400 Independence Ave., S.W. Washington DC, 20250, USA
    The fifth author is deceased.)

  • Timothy R. Green

    (USDA, Agricultural Research Service (ARS), Water Management and Systems Research Unit, Fort Collins, CO 80521, USA)

Abstract

Greenhouses have been used in the United Arab Emirates (UAE) to produce vegetables that contribute toward UAE food security, including offering fresh vegetable produce in the off-season. However, to manage such greenhouses, farmers face both technical and environmental limitations (i.e., high water scarcity), as well as vegetable market price instability. The objective of this study is to explore tradeoffs between returns (i.e., gross margin) of selected vegetables (tomato, pepper, and cucumber), risk (deviation from gross margin means), and an environmental constraint (water salinity) using a unique target MOTAD (minimization of total absolute deviations) approach to support UAE farmer decision-making processes. The optimal target MOTAD solution included all three vegetables and no corner solution. The results showed tradeoffs between returns and risks, and confirmed that product diversification reduces overall risk. The analysis was consistent with farmer perceptions based on a survey of 78 producers in the region. The search for the optimal mix of vegetable production under UAE greenhouse conditions revealed that reduction in tomato production should be offset by an increase in cucumber production while maintaining a constant level of pepper production. In other words, risk is reduced as cucumber production increases due to the high level of tomato and lettuce price volatility as the alternative to cucumber. The results also demonstrated the importance of the water salinity environmental constraint, as it was found to have a positive marginal value in the optimal vegetable mix solution (i.e., important factor). Thus the optimal solution was highly sensitive to changes in the crop water salinity constraint. The study results also demonstrate that the target MOTAD approach is a suitable optimization methodology. As a practical approach, a decision-maker in the UAE can consider gross margin (total revenue-variable costs) maximization with risk and water quality constraints to find the optimal vegetable product mix under greenhouse conditions.

Suggested Citation

  • Eihab Fathelrahman & Mohamed Gheblawi & Safdar Muhammad & Emily Dunn & James C. Ascough & Timothy R. Green, 2017. "Optimum Returns from Greenhouse Vegetables under Water Quality and Risk Constraints in the United Arab Emirates," Sustainability, MDPI, vol. 9(5), pages 1-11, April.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:5:p:719-:d:97214
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    References listed on IDEAS

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    1. Akram Masoud Haddad & Yousef Shahwan, 2012. "Optimization agricultural production under financial risk of water constraint in the Jordan Valley," Applied Economics, Taylor & Francis Journals, vol. 44(11), pages 1375-1385, April.
    2. Berbel, J., 1993. "Risk programming in agricultural systems: A multiple criteria analysis," Agricultural Systems, Elsevier, vol. 41(3), pages 275-288.
    3. Novak, James L. & Mitchell, Charles C., Jr. & Crews, Jerry R., 1990. "Risk And Sustainable Agriculture: A Target-Motad Analysis Of The 92-Year "Old Rotation"," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 22(1), pages 1-10, July.
    4. Parton, Kevin A. & Cumming, Robert J., 1990. "An Application of Target-MOTAD Programming to the Analysis of Downside Business and Financial Risk on Farms," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(01), pages 1-13, April.
    5. Zimet, David J. & Spreen, Thomas H., 1986. "A Target Motad Analysis of a Crop and Livestock Farm in Jefferson County, Florida," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 18(2), pages 175-186, December.
    6. Lu, Wencong C. & Xi, Aiqin & Ye, Jian, 2006. "Modeling Risk Behavior of Agricultural Production in Chinese Small Households," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25656, International Association of Agricultural Economists.
    7. Mapp, Harry P., Jr., 1999. "Impact Of Production Changes On Income And Environmental Risk In The Southern High Plains," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 31(2), pages 1-11, August.
    8. Mapp, Harry P., 1999. "Impact of Production Changes on Income and Environmental Risk in the Southern High Plains," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 31(2), pages 263-273, August.
    9. Novak, James L. & Mitchell, Charles C. & Crews, Jerry R., 1990. "Risk and Sustainable Agriculture: A Target-Motad Analysis of the 92-Year “Old Rotation”," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 22(1), pages 145-154, July.
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    2. Artur Nemś & Magdalena Nemś & Klaudia Świder, 2018. "Analysis of the Possibilities of Using a Heat Pump for Greenhouse Heating in Polish Climatic Conditions—A Case Study," Sustainability, MDPI, vol. 10(10), pages 1-23, September.

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