Yoones Azadi; Maghsud Bayat
Volume 22, SEPEHR , July 2013, , Pages 53-60
Abstract
Recognizing strong and weak points and determining the level of deprivation and enjoyment of the specified indices in these areas are the most important step for planning and developing areas and zones. The present article seeks to rate towns in Ilam province based on the development of agricultural ...
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Recognizing strong and weak points and determining the level of deprivation and enjoyment of the specified indices in these areas are the most important step for planning and developing areas and zones. The present article seeks to rate towns in Ilam province based on the development of agricultural mechanization. To reach this goal, towns under study were first rated in two frameworks regarding the ratio of beneficiaries using agricultural machinery to those enjoying them. Then, towns of Ilam province are rated based on the aggregation of these two frameworks. Morris model, a customary model in rating areas, is used for rating towns based on these indices. Results indicate that Dare Shahr has the first rank and Ivan has the last rank in the ratio of beneficiaries using agricultural machinery, while Dehloran has the first rank and Mehran possess the last rank in the ratio of beneficiaries owning agricultural machinery. Moreover, Dehloran has the first rank and Ivan has the last rank in the index of agricultural mechanization development which is calculated by the aggregation of the previous indices. The results of the ranking indicates that two towns are privileged, four are semi-privileged and one town is in the deprived rank.
Maghsud Bayat; Robab Safari
Volume 21, Issue 83 , November 2012, , Pages 77-81
Abstract
Ongoing population increase have resulted in an ever-increasing demand for food and agricultural products, and agricultural products do not satisfy national demands in the current situation. Despite the goal of realizing self-sufficiency, a large proportion of the demands of a population which is increasing ...
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Ongoing population increase have resulted in an ever-increasing demand for food and agricultural products, and agricultural products do not satisfy national demands in the current situation. Despite the goal of realizing self-sufficiency, a large proportion of the demands of a population which is increasing with such a trend will inevitably need to be supplied from foreign countries. However, agricultural products in global market are also limited and supplying national commands have faced some challenges. This situation requires paying more attention to agriculture, taking effective and quick steps toward increasing production and supplying required foodstuffs. The present study seeks to identify spatial inequities and determine the ranking of each cities of Fars province in agricultural section. Descriptive-analytic method inspired by composite statistical model of Human Development Index is used, which determines agricultural developmental level across the province. SPSS software is used for data analysis. Results indicate that different cities rank differently in indices, which is a result of unbalanced development of these cities in agricultural section and its indices.