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Sustainable cropping pattern in North Iran: application of fuzzy goal programming
Authors:Ramtin Joolaie  Ahmad Abedi Sarvestani  Fatemeh Taheri  Steven Van Passel  Hossein Azadi
Institution:1.Department of Agricultural Economics,Gorgan University of Agricultural Sciences and Natural Resources,Gorgan,Iran;2.Department of Agricultural Extension and Education,Gorgan University of Agricultural Sciences and Natural Resources,Gorgan,Iran;3.Department of Agricultural Extension and Education,Khuzestan Ramin Agricultural and Natural Resources University,Mollasani,Iran;4.Department of Engineering Management,University of Antwerp,Antwerp,Belgium;5.Centre for Environmental Sciences,Hasselt University,Hasselt,Belgium;6.Economics and Rural Development,University of Liège,Liège,Belgium;7.Department of Geography,Ghent University,Ghent,Belgium
Abstract:Due to the important role that the application of mathematical programming models have in determining optimal cropping patterns, this research presents a sustainable cropping pattern that considers selected economic, environmental, and social goals together. Using a random sampling method, a sample size of 168 farmers was selected in the Sari County, Iran. Our results showed that economic, self-sufficiency, environmental, and social goals have a distinctly different impact on cropping pattern performance. Compared to the current cropping pattern, the gross margins for economic and social goals increased by nearly 11 and 2 %, respectively, and the gross margins for self-sufficiency and environmental goals decreased by nearly 2 and 36 %. Interestingly, it has been found that the performance of the current cropping pattern has an average positive impact of 6 % if economic, self-sufficiency, environmental, and social (employment) goals are realized simultaneously.
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