Sustainable cropping pattern in North Iran: application of fuzzy goal programming

Ramtin Joolaie, Ahmad Abedi Sarvestani, Fatemeh Taheri, Steven Van Passel and Hossein Azadi ()
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Ramtin Joolaie: Gorgan University of Agricultural Sciences and Natural Resources
Ahmad Abedi Sarvestani: Gorgan University of Agricultural Sciences and Natural Resources
Fatemeh Taheri: Khuzestan Ramin Agricultural and Natural Resources University
Steven Van Passel: University of Antwerp
Hossein Azadi: Hasselt University

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2017, vol. 19, issue 6, No 4, 2199-2216

Abstract: 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.

Keywords: Sustainable agriculture; Environmental development; Crop planning; Fuzzy sets (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10668-016-9849-9

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