The Role of Location on Exploitation of Agricultural Businesses in Mazandaran province (Case Study: Agricultural Processing Industry)

Q4 Economics, Econometrics and Finance Iranian Economic Review Pub Date : 2020-09-01 DOI:10.22059/IER.2020.77648
Roghayeh Zahedian Tejeneki, S. Mojaverian, S. A. H. Yekani
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Abstract

hoosing the appropriate site is important in the construction of units such as agricultural processing industries. In this study, we try to determine the factors affecting the exploitation of the agricultural processing industries and measure the share of location as one of the important issues in locating research. The 2572 data were collected from the Agricultural Jihad Organization of Mazandaran province. The two-level Logit model was used as the estimation method. The results showed that the variables of cooperative ownership, planned capacity, unit area, industrial parks, and livestock and Horticultural activities harm the exploitation, and the variables of the capital and fishery activity have a positive effect on the exploitation. Also, the construction site explains on average 1.2% of the observed deviation, which is not explained by independent variables in the model. The share of the worst and the best location in terms of spatial characteristics are 0.2 and 4.6%. The low share of the site in exploitation can be due to the right choice of location by investors or the proximity of the cities of Mazandaran province. Therefore, it is necessary to improve other factors affecting the construction of the Agricultural processing industries in the Mazandaran.
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马赞达兰省区位对农业企业开发的作用(以农业加工业为例)
在农业加工业等单位建设中,选择合适的场地是很重要的。在本研究中,我们试图确定影响农业加工业开发的因素,并测量区位份额,这是区位研究的重要问题之一。2572份数据来自马赞达兰省农业圣战组织。采用两级Logit模型作为估计方法。结果表明:合作社所有制、规划产能、单位面积、工业园区、畜牧和园艺活动等变量对开发具有不利影响,资本活动和渔业活动等变量对开发具有积极影响。此外,建筑工地平均解释了观测偏差的1.2%,这是模型中的自变量无法解释的。在空间特征方面,最差和最佳位置的比例分别为0.2%和4.6%。该地区的开发比例较低,可能是由于投资者选择了正确的地点,或者靠近马赞达兰省的城市。因此,有必要改善影响马赞达兰地区农业加工业建设的其他因素。
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来源期刊
Iranian Economic Review
Iranian Economic Review Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
0.70
自引率
0.00%
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0
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