Agricultural Economics and Development

Agricultural Economics and Development

Ranking the Counties of Kerman Province of Iran to Receive Agricultural Credits

Document Type : Original Article

Authors
S. Shamsadini 1
H. MehrabiBoshrabadi 2
M. A. yaghoobi 3
S. Nabieian 4
M. R. pourebrahimi 5
1 PhD Student in Agricultural Economics, Faculty of Agriculture, Sh. Bahonar University of Kerman, Iran
2 Professor of Agricultural Economics Department, Sh. Bahonar University of Kerman, Iran
3 Associate Professor of Applied Mathematics Department, Faculty of Mathematics, Sh. Bahonar University of Kerman, Iran
4 Assistant Professor of Agricultural Economics Department, Sh. Bahonar University of Kerman, Iran
5 Assistant Professor of Management Department, Faculty of Management, University of Tehran. Iran
10.30490/aead.2019.91245
Abstract
Studies show no clear pattern of credit distribution in provinces of Iran. This study aimed at identifying the criteria for the allocation of agricultural credits in Kerman province. To make final decisions, the questionnaire information and official statistics were used in FAHP and TOPSIS methods, for the first time, for optimal allocation of agricultural credits. The study results showed that in the present condition, Kerman, Rafsanjan, and Shahr-e Babak Counties with almost 0.80, 0.291 and 0.290 were placed in the first to third ranks, respectively; and Zarand and Sirjan were the last ranks in receiving the agricultural credits. According to the analysis of 17 indicators, Bam, Kerman and Baft Counties with about 052, 0.51 and 0.24, were placed in the first to third ranks. The study results also showed that the status quo Chapters of agricultural land organization program, conservation of soil and water with coefficient of 0.635 had the highest priority of credit distribution. In the end, for the distribution of agricultural credits in Kerman province, giving attention to the organization of the water resources and prioritized Counties of Bam, Kerman and Baft through the concerned policies was recommended.
Keywords
Agricultural Credit
Fuzzy Analytic Hierarchy Process
TOPSIS
Kerman (Province)
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