Investigation of economic resilience in small and medium industries of Khuzestan province due to SARS-CoV-2 (Corona) Epidemic

Document Type : RESEARCH PAPER

Authors

1 Assistant Professor of Economics, Department of Economics, Faculty of Economics and Social Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

2 Professor of Economics, Faculty of Economics and Social Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

3 Associate Professor of Economics, Department of Economics, Faculty of Economics and Social Sciences, Shahid Chamran University of Ahvaz, Ahvaz, Iran

Abstract

One of the factors affecting the economic situation in countries at the moment is the state of the corona epidemic. Although this issue manifest itself in health categories, it will gradually show its impact on economic categories as the epidemic increases. Khuzestan province due to ethnic and racial diversity in different regions, has a higher vulnerability in the field of health and due to its national nature is more strongly dependent on the economic sector. Both of these will keep the prevalence level high. Therefore, in this study, the main purpose is to calculate the level of economic resilience in small and medium industries in Khuzestan province by industry and city in the first period of closure in the country, ie the period from February 2020 to May 2020 caused by the Corona virus epidemic using the method of calculating the economic resilience of Briguglio et al. (2008). The results show that the textile, metal, food, electricity and electronics, chemical, non-metallic mineral and cellulose industries have the highest to the lowest resilience in Khuzestan province, respectively. Also, economic resilience in all cities of Khuzestan province is in a state of "instability and convergence" and the cities of Abadan, Ahvaz, Izeh and Baghmalek, Shushtar and Gotvand, Khorramshahr, Dezful and Shoush, Andimeshk, Behbahan and Omidieh and the port of Mahshahr and Bandar Imam Khomeini, respectively; They have been evaluated as having the highest to the lowest resilience in the province.

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