DOI QR코드

DOI QR Code

글로벌 위기에서 산업 클러스터의 품질이 생산 탄력성에 미치는 영향

The Impact of Industrial Clusters' Quality on the Production Resilience in the Global Crisis

  • 조영주 (연세대학교 산업공학과) ;
  • 이창근 (연세대학교 산업공학과) ;
  • 유준영 (연세대학교 산업공학과) ;
  • 김소영 (연세대학교 산업공학과) ;
  • 박희준 (연세대학교 산업공학과)
  • Cho, Young Ju (Department of Industrial Engineering, Yonsei University) ;
  • Lee, Chang-geun (Department of Industrial Engineering, Yonsei University) ;
  • Yoo, Jun-Young (Department of Industrial Engineering, Yonsei University) ;
  • Kim, So-Young (Department of Industrial Engineering, Yonsei University) ;
  • Park, Hee-Jun (Department of Industrial Engineering, Yonsei University)
  • 투고 : 2024.04.29
  • 심사 : 2024.05.21
  • 발행 : 2024.06.30

초록

Purpose: This paper aims to verify the difference in production resilience between local clusters and regions without clusters before and after a major crisis. Furthermore, this paper aims to identify the clusters' quality factors that impact clusters' shock vulnerability and resilience. Methods: Utilizing open-source data from the US Cluster Mapping platform, this paper compares regions with industrial clusters to those without using the Differences-in-Differences (DID) estimator. It considers the regions with industrial clusters as a treatment group and others as the control group, comparing the period before and after the pandemic. Additionally, the paper examines which cluster factors make a difference in economic resilience during the crisis using Regression Discontinuity Design (RDD). Results: The study finds that regions with industrial clusters show higher production resilience compared to regions without clusters. Moreover, the number of establishments, annual payrolls, and employment can have a positive impact on resilience during the pandemic shock. Conclusion: Though clusters could be vulnerable during the global crisis, industrial clusters can contribute to regional economic development and production resilience in the long-term aspect. Thus, it is required to construct a high-quality local cluster and support it during the economic crisis in the long-term aspect.

키워드

참고문헌

  1. Alam, M. M., Aktar, M. A., Idris, N. D. M., & Al-Amin, A. Q. 2023. World energy economics and geopolitics amid COVID-19 and post-COVID-19 policy direction. World Development Sustainability 2, 100048.
  2. Arunmozhi, Manimuthu, R. Kiran Kumar, and B. A. Srinivasa. 2021. Impact of COVID-19 on global supply chain management. Managing supply chain risk and disruptions: Post COVID-19. Cham: Springer International Publishing, pp. 1-18.
  3. Bell, G. G. 2005. Clusters, networks, and firm innovativeness. Strategic Management Journal, 26(3):287-295.
  4. Bertrand, M., Duflo, E., & Mullainathan, S. 2004. How much should we trust differences-in-differences estimates?. The Quarterly Journal of Economics 119(1):249-275.
  5. Bureau of Economic Analysis. 2023. Employment.
  6. Bureau of Economic Analysis. 2023. Gross Domestic Production (GDP).
  7. Bureau of Economic Analysis. 2023. International Trade & Investment.
  8. Bureau of Labor Statistics. 2023. Employment and Wages.
  9. Burki, T. 2023. WHO ends the COVID-19 public health emergency. The Lancet Respiratory Medicine.
  10. Callaway, B., & Sant'Anna, P. H. 2021. Difference-in-differences with multiple time periods. Journal of Econometrics 225(2):200-230.
  11. Courvisanos, J., Jain, A., & K. Mardaneh, K. 2016. Economic resilience of regions under crises: A study of the Australian economy. Regional Studies 50(4):629-643.
  12. Dai, R., Mookherjee, D., Quan, Y., & Zhang, X. 2021. Industrial clusters, networks and resilience to the Covid-19 shock in China. Journal of Economic Behavior & Organization,183:433-455.
  13. Delgado, M., M.E. Porter, and S. Stern. 2014. "Defining Clusters of Related Industries."
  14. Gordon, I. R., & McCann, P. 2000. Industrial clusters: complexes, agglomeration and/or social networks?. Urban studies 37(3):513-532.
  15. Hahn, J., Todd, P., & Van der Klaauw, W. 2001. Identification and estimation of treatment effects with a regression- discontinuity design. Econometrica 69(1):201-209.
  16. Handfield, R. B., Graham, G., & Burns, L. 2020. Corona virus, tariffs, trade wars and supply chain evolutionary design. International Journal of Operations & Production Management,40(10):1649-1660.
  17. Jeon, G., & Yoo, H. 2019. An efficiency analysis of supply chain quality management using the multi-stage DEA model: focused on the domestic defense industry companies. Journal of Korean Society for Quality Management 47(1):163-186.
  18. Kim, S., & Kim, M. S. 2019. A study on the effects of regional context on entrepreneurial orientation. Journal of the Korean Society for Quality Management 47(4):847-859.
  19. Lee, M. J. 2016. Matching, regression discontinuity, difference in differences, and beyond. Oxford University Press.
  20. Lu, H., Zhou, Y., & Tang, J. 2013, November. Influence factors of industrial cluster development. In 2013 6th International Conference on Information Management, Innovation Management and Industrial Engineering (Vol. 1, pp. 222-226). IEEE.
  21. Mardaneh, Karim K., Ameeta Jain, and Jerry Courvisanos. 2020. A guide to patterns of regional economic resilience. Handbook on regional economic resilience. Edward Elgar Publishing, pp. 126-142.
  22. Marshall, A. 2009. Principles of economics: unabridged eighth edition. Cosimo, Inc., .
  23. Mendoza-Velazquez, A., & Rendon-Rojas, L. 2021. Identifying resilient industries in Mexico's automotive cluster: Policy lessons from the great recession to surmount the crisis caused by COVID 19. Growth and Change 52(3):1552-1575.
  24. Meng, S., Gao, X., & Duan, L. 2022. Facing the COVID-19 pandemic and developing a sustainable entrepreneurial ecosystem: the theory and practice of innovation and entrepreneurship policies in China. International Journal of Environmental Research and Public Health 19(14):8797.
  25. Pai, H. S., & Lim, C. K. 2023. Derivation of Profit Curve by Cubic Cost Function and Mathematical Verification of Industry Life Cycle: Focused on All Industries in Korea. Journal of Korean Society for Quality Management 51(4):481-496.
  26. Panwar, R., Pinkse, J., & De Marchi, V. 2022. The future of global supply chains in a post-COVID-19 world. California Management Review 64(2):5-23.
  27. Park, J. S., & Park, H. (2024). Understanding Post-Pandemic Travel Intention: Boredom as a Key Predictor. Journal of Korean Society for Quality Management 52(1):1-21.
  28. Park, J. Y., Oh, S. J., & Kim, S. W. 2011. Causal Relationship of Infra, Process and Firm Performance on Supply Chain Quality Management. Journal of Korean Society for Quality Management 39(4):464.
  29. Quy, N. T. T., & Dung, N. T. 2023. Vietnamese Labor Market Situation After the Covid-19 Pandemic. European Journal of Development Studies 3(3):64-66.
  30. Schell, D., Wang, M., & Huynh, T. L. D. 2020. This time is indeed different: A study on global market reactions to public health crisis. Journal of Behavioral and Experimental Finance 27:1-8.
  31. Simmons, Richard, Nigel Culkin, and Virginia Davies. 2022. Crisis Resilient Supply Chain Design-Post Pandemic, Post Ukraine Conflict Challenges And Opportunities. Post Ukraine Conflict Challenges And Opportunities.
  32. Slaper, T. F., Harmon, K. M., & Rubin, B. M. 2018. Industry clusters and regional economic performance: A study across US metropolitan statistical areas. Economic Development Quarterly 32(1):44-59.
  33. U.S. Cluster Mapping (http://clustermapping.us). Institute for Strategy and Competitiveness, Harvard Business School. Copyright © 2018 President and Fellows of Harvard College. All rights reserved. Research funded in part by the U.S. Department of Commerce, Economic Development Administration.
  34. Vom Hofe, R., & Chen, K. 2006. Whither or not industrial cluster: conclusions or confusions?. Industrial Geographer:4(1).