Ranking and Level of Development According to the Agricultural Indices, Case Study: Sistan Region

International Journal of Agricultural Management and Development

مقاله 11، دوره 6، شماره 1، خرداد 2016، صفحه 93-100   

نوع مقاله: Research Article

نویسندگان

Ali Sardar Shahraki¹؛ Javad Shahraki^{* 2}؛ Seyed Arman Hashemi Monfared³

¹Phd candidate of Agricultural Economics, University of Sistan and Baluchestan, Iran

²Associate Professor of Agricultural Economics, University of Sistan and Baluchestan, Iran

³Assistant Professor of Civil Engineering, University of Sistan and Baluchestan, Iran

چکیده

Sistan region is one of the most important agricultural areas in the province of Sistan and Baluchistan. Therefore, given the heterogeneity in agriculture and recognizing these differences, the aim of this study was to obtain the level of development of agriculture in the Sistan region. To obtain this purpose two Fuzzy Analytical Hierarchy Process (FAHP) and the numerical taxonomy was used in a view of 20 indicators in the agricultural sector in the region. The required data was achieved by filling out the questionnaire certified experts and statistical yearbooks in the agricultural sector. Data analysis was used by Matlab and SPSS software. Results of numerical taxonomy showed that Markazi, Shibab and Poshteab sectors component parts were less developed. Also, Jazinak and Miyankangi are in the category sections were undeveloped. The results of Fuzzy Analytical Hierarchy Process (FAHP) model indicated that Markazi, Shibab and Poshteab sectors are in the first rank of development, in terms of agricultural indices in the region. Jazinak and Miyankangi are in the fourth and fifth ranking. Therefore, in general, it is clear that the level of development of agricultural in Sistan region isn’t in good condition. In this regard itis suggested that appropriate planning to promote agricultural development is on the agenda should be applied.

کلیدواژه‌ها

Levels of Agricultural Development؛ Numerical Taxonomy؛ Fuzzy Hierarchical Analysis (FAHP)؛ Sistan

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