Sustainable cropping pattern in North Iran: application of fuzzy goal programming
Autor: | Steven Van Passel, Hossein Azadi, Fatemeh Taheri, Ramtin Joolaie, Ahmad Abedi Sarvestani |
---|---|
Rok vydání: | 2016 |
Předmět: |
Sustainable development
Economics and Econometrics business.industry Environmental Development 05 social sciences Geography Planning and Development 010501 environmental sciences Management Monitoring Policy and Law 01 natural sciences Gross margin Agricultural economics Chemistry Sustainable agriculture Environmental development Crop planning Fuzzy sets Geography Agriculture Sample size determination 0502 economics and business Fuzzy goal programming business Biology Engineering sciences. Technology Cropping 050203 business & management 0105 earth and related environmental sciences |
Zdroj: | Environment, development and sustainability |
ISSN: | 1573-2975 1387-585X |
Popis: | 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. |
Databáze: | OpenAIRE |
Externí odkaz: |