| Abstrakt: |
Kim, T.; Kim, J.; Kim, G.; Chang, J.-I.; Lim, B., and Kim, J. 2023. Analysis of employment elasticity in the ocean and fisheries industry. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 408-412. Charlotte (North Carolina), ISSN 0749-0208. This study investigates the employment elasticity between the economic growth rate and employment changes in the ocean and fisheries industry and analyzes the determinants of such employment elasticity. The panel data is drawn from industry surveys conducted in 2017–2020. The panel data regression on companies with sales of more than 8 billion KRW shows that their total sales are inversely proportional to employment elasticity, implying that large-scale companies may not necessarily offer high employment. The panel data regression on companies with sales of less than 8 billion KRW shows that their debt ratio is inversely proportional to employment elasticity, meaning that employment in small-scale companies is vulnerable to the companies' financial status. Panel data regression by industrial classification is also conducted. The debt ratio is inversely proportional to employment elasticity in some sub-industries, such as the building and repair of ships and offshore plants and marine and fisheries equipment manufacturing. However, the total sales and employment rate during COVID-19 are proportional to employment elasticity in the sub-industries of both marine leisure and tourism and marine and fisheries services. This implies that the companies in these sub-industries have attempted to increase sales by expanding or maintaining employment during the COVID-19 pandemic. Future analyses with more detailed industrial classifications are necessary to establish useful bases for policies supporting sustainable employment in the ocean and fisheries industry. [ABSTRACT FROM AUTHOR] |
