Application of Marshallian Cluster Model in Identifying and Creating Industrial Clusters in Bushehr Province

Document Type : Research Paper

Authors

1 Associate Professor of Economics, Shahid Chamran University of Ahvaz.

2 Professor of Economics, Shahid Chamran University of Ahvaz

3 Ph.D. student in Economics, Shahid Chamran University of Ahvaz.

Abstract

Industrial clusters are representing a new way of thinking about place creating a business that improves industrial competitiveness through product specialization and increases overall returns through value chains of business and reduces transaction costs. In this study, formation of talented clusters in Bushehr province were identified by the Marshallian cluster model and by three quantitative approaches of cluster index, input-output table analysis and Getis-Ord’s Gi statistics. Thus, first, determine the concentration activities and calculated the cluster index. Then, by input-output table analysis and calculating the index of technical coefficients, strong links between activities were identified. In the following, Getis-Ord’s Gi statistics was calculated in ArcGIS10.2 software to determine the cities talented to formation of industrial cluster. Hence, the possibility of forming a cluster among the services and commerce activities of the hotel and restaurant category had the highest centralization of employment in Bushehr city. Then, the results of input-output table analysis showed that this category provides intermediate inputs for categorys of agricultural, electricity, water and gas and financial services, and in turn, these categorys provides intermediate inputs in the category of hotel and restaurants. As the categorys of food and beverage prouducts, wholesale and retail and building business activities plays a role in providing intermediate inputs in the hotel and restaurant category. In the end, the results of Getis-Ord’s Gi statistics showed that Bushehr city has the possibility of forming clusters with Genaveh and Deylam cities in the category of hotel and restaurant.

Keywords

Main Subjects

References

  1. Andersen, L. E., Faris, R. (2002). Reducing volatility due to Natural Gas exports: Is the answer a Stabilization Fund?(No.1101). Documento de Trabajo.
  2. Asik, G. A. (2013). Stabilization Funds in Oil-Rich Countries and Fiscal Policy:(A) cyclicality?. London School of Economics Job Market Paper, November, 27.
  3. Bastani, A., Razmi, M., Naji meydani, A., & Baki hoskoee, M. (2017). Optimal Allocation of Oil Revenues to the National Development Fund, Dynamic Optimization Analysis. Quarterly Journal of Energy Policy and Planning Research, 3(6), 135-169 (in Persian).
  4. Behbodi, D., Motofakerazad, M. A., Mohamadzadeh, P., & Sadeghi, K. (2012). National Development Fund or Direct Distribution of Oil Revenues (Comparative Study). Parliament and Strategic Quarterly, 19(71), 38-84 (in Persian).
  5. Burney, N. A., Mohaddes, K., Alawadhi, A., & Al-Musallam, M. (2018). The Dynamics and Determinants of Kuwait's Long-run Economic Growth. Economic Modelling, 71, 289-304.
  6. Ebrahimi, S. (2011), The Effect of Oil Price Shocks and Exchange Rate Fluctuations and the Resulting Uncertainty on the Economic Growth of Selected Oil Countries. Quarterly Journal of Business Research, 59, 83-105 (In Persian).
  7. Guerra-Salas, J. (2014). Government Investment and the Business Cycle in Oil-exporting Countries. Bronx: Fordham University.
  8. Hasanov, F., & Cherif, R. (2012). Oil Exporters’ Dilemma: How Much to Save and How Much to Invest.
  9. Holm, M. B. (2014). Oil, Sovereign Wealth Funds and Monetary Policy (Master's thesis).
  10. Hoshmand, M., Salimifar, M., Gorji, E., & Tavakoli ghochani, S. (2020). Investigating the Role of the National Development Fund in Facing Oil Shocks in the Iranian Economy through the Government Expenditure Channel Using a Stochastic Dynamic General Equilibrium Model. Iranian Journal of Applied Economic Studies, 9(33), 57-91 (In Persian).
  11. Motovaseli, M., Ebrahimi, E., Shahmoradi, A., & Komijani, A. (2010). Designing a New Keynesian Stochastic Dynamic General Equilibrium Model for Iran's Economy as an Oil Exporting Country. Quarterly Journal of Economic Research, 10(4), 87-116 (In Persian).
  12. Pedram, M., Shirinbakhsh, Sh., & Jamshidlo, R. (2018). The role of Different Scenarios of the National Development Fund on Production and Inflation Variables in Iran. Quarterly Journal of Energy Economics Studies, 14(59), 55-83 (in Persian).
  13. Razmi, M., Naji meydani, A., Karimzadeh, M., & Gheybi hashemabadi, A. (2017). Oil Shocks and Dynamics of the National Development Fund; New Keynesian Dynamic Stochastic General Equilibrium Approach. Quarterly Journal of Econometric Modeling, 2(3), 33-64 (in Persian).
  14. Sayadi, M., Danesh Jafari, D., Bahrami, J., & Rafei, M. (2015). Provide a Framework for the Optimal Use of Oil Revenues in Iran, a Dynamic Stochastic General Equilibrium Approach. Quarterly Journal of Planning and Budgeting, 20(2), 21-58 (In Persian).
  15. Seifi, A., Khodaparast Mashhadi, M., & Ghezelbash, A. (2015). Investigating the Scenario of Optimal Allocation of Oil Revenues in Iran, Assuming the Existence of Dutch disease With a Dynamic Computable General Equilibrium Approach. Scientific Journal of Economic Policy, 11(22), 335-364 (In Persian).
  16. Semko, R. (2013). Optimal Economic Policy and Oil Prices Shocks in Russia. Economic Research-Ekonomska Istraživanja, 26(2),69_82.
  17. Tavakoli, S., Hooshmand, M., Salimifar, M., Gorji, E. (2017). Investigating the Effect of Fiscal Policy As a Mechanism for Propagating Oil Shocks in the Iranian Economy Using a Structural Autoregression model. Quarterly Applied Economic Studies of Iran, 22, 77-98 (In Persian).
  18. Tavaklian, H., Mehrara, M., Hassanzadeh & Yousefabadi, M. (2017). The Role of the National Development Fund in Reducing Iran's economic Fluctuations, DSGE approach. Quarterly Journal of Financial Economics, 11(41), 1-41 (In Persian).
  19. Van der Ploeg, F. (2012). Bottlenecks in Ramping up Public Investment. International Tax and Public Finance, 19 (4), 509-538
Quarterly Journal of Applied Theories of Economics
Volume 8, Issue 3 - Serial Number 30
November 2021
Pages 55-84

Files

Share

How to cite

Statistics