Author:
Chen Tzu-Chia,Subrahmanyam Satya,Singh Krishanveer,Aravindhan Surendar,Sivaraman Ramaswamy,Iswanto Heri
Abstract
This study aimed to rank the factors affecting regional competitiveness in industrial clusters of equipment for oil, gas, and petrochemicals in Iran. The research was descriptive-analytical in terms of methodology. In addition, data were collected using questionnaires, whose reliability and validity was confirmed. Moreover, data analysis was performed in SPSS and LISREL. According to the results, the factors affecting regional competitiveness increase were classified into four categories of spatial-geographical relations, institutional-organizational relations, economic relations, and social relations. Therefore, improving the industrial cluster's performance will directly help the oil industry achieve its localization and self-efficiency goals, especially in terms of the supply of equipment. On the other hand, this issue had a significant effect on the development of various economic, social, educational, and employment aspects in oil, gas, and petrochemical regionals.
Publisher
Centre for Evaluation in Education and Science (CEON/CEES)
Subject
Industrial and Manufacturing Engineering,Polymers and Plastics,Business and International Management
Reference32 articles.
1. Njøs, R. & Jakobsen, S.E. (2016). 'Cluster policy and regional development: scale, scope and renewal'. Regional Studies, Regional Science, 3:1, 146-169, DOI: 10.1080/21681376.2015.1138094;
2. Bevilacqua, C., Anversa, I.G., Cantafio, G., Pizzimenti, P. (2019). 'Local Clusters as "Building Blocks" for Smart Specialization Strategies: A Dynamic SWOT Analysis Application in the Case of San Diego (US)'. Sustainability, 11, 5541. https://DOI.org/10.3390/su11195541;
3. Dli, M., Zaenchkovski, A., Tukaev, D., & Kakatunova, T. (2017). "Optimization algorithms of the industrial clusters' innovative development programs". International Journal of Applied Engineering Research, 12(12), 3455-3460;
4. Kim, H. D., Lee, D. H., Choe, H., & Seo, I. W. (2014). "The evolution of cluster network structure and firm growth: a study of industrial software clusters". Scientometrics, 99(1), 77-95;
5. Glaeser, L. Edward, Hedi D. Kallal, Jose A. (1992). 'Scheinkman and Andrei Shleifer: Growth in Cities'. Journal of Political Economy, vol. 100, no. 6;