Identification of Components Cluster Development Orchard crops processing Business in Kermanshah Province

Document Type : Research Paper

Authors

1 Ph.D. in Agricultural development, Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran

2 Associate Professor, Department of Agricultural Extension and Education, Campus of Agriculture and Natural Resources, Razi University, Kermanshah, Iran

3 Assistant Professor, Department of Geography and Rural Planning, University of Tehran, Tehran, Iran

Abstract

One of the strategies for sustainable development the agricultural sector is business to business collaboration in the form of a cluster that has attracted the attention of the world's scientific communities in recent years. The purpose of this study was to investigate the factors affecting development of cluster orchard crops business in Kermanshah province. Research paradigm, is mix-method qualitative – quantitative. The research method used in the qualitative section is the Grounded theory and in quantitative section is AHP. The population of the study included experts Industrial Township, Jihad-e-Agriculture Organization the Kermanshah province. The data collection process continued as the theoretical saturation was reached. The results indicated that 65 concepts were extracted from open coding; concepts were classified in 18 subcategories and 4 classes of cluster conditions, cluster development fields, intervening factors and effective strategies for the development of clusters. To prioritize these components, of AHP was used. The results of this section showed that in the created classes, the components of trust, access to manpower, cluster development and government support and support institutions are in the top priority. The results of this research can be used by rural development planners, experts Jihad-e-Agriculture Organization and Small Industries Organization and Industrial Township. 

Keywords

References

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Iranian Journal of Agricultural Economics and Development Research
Volume 50, Issue 4
November 2019
Pages 707-722

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