Feasibility study of establishment of process and supplementary industries of agriculture sector in East Kakavand rural district, Delfan town

Development and establishment of process and supplementary industries of agricultural products is one of the most advantageous relationships between the two sectors of agriculture and industry which has a major role in reducing corruption and waste of agricultural products in addition to reducing regional inequality. This research has been conducted to study the feasibility of establishment of process and supplementary industries of agriculture sector in the form of a field research, as a cross-sectional case study relying on the previous studies. In the library method, documents, reports, yearbooks, and other resources have been used, and in the field method, regarding the large number of villages in the rural district, 27 villages were chosen, and the obtained data were processed using SPSS software. In order to prepare the tables and charts, Excel was used, and for the purpose of preparing the maps, GIS environment was utilized. L.Q. index (local coefficient), one-sample t-test, and Pearson correlation were used for studying and analyzing the components affecting the establishment of process and supplementary industries. Measuring the quality and level of correlation between the variables were done by regression method. The results of the research showed that regarding the production of products such as wheat, barley, chickpea, and sugar beet, East Kakavand rural district has a comparative advantage of higher than one, and it has had a better performance compared to the city and the province. Therefore, this rural district has the capacity of investment and development regarding the production of the above mentioned products. In this regard, the industries suggested for this rural district include warehouse and silo, sugar factory, forage packing, beans packing, production of flour, bran, and animal concentrates, paper and carton industry, etc. According to the findings of this research, development of process industries has been able to predict the variable of employment rate. In other words, the standardized coefficient of Beta indicates that for one unit of change in process industry, a 22% change is expected in employment rate.