ScholarWorks@숙명여자대학교

초록

In this study, the Logistics Performance Index (LPI) of the World Bank was used to measure the difference in the variable selection of trade facilitation measures for exports by the leading Korean conglomerates and other small to medium enterprises. The WTO explains that trade facilitation aims to simplify the import and export process, and there still are many barriers not seen in the course of international trade and transportation which cause the enterprises burden and uncertainty of cost. The previous studies related to existing trade facilitation suggested the implications of country level. On the other hand, in this study, the empirical analysis was conducted by approaching from firm level perspective. In this analysis, lasso regression analysis was applied to investigate the difference between the selected variables according to the firm size by ridge regression analysis and to explore the variable selection technique to solve the problem of the estimator. As a result, among the six sub-parameters of LPI, leading conglomerates had little or no selected variables, while for small to medium enterprises, international shipments, logistics competitiveness and quality, and their tracking and tracing were significant variables. These results show that small to medium enterprises are sensitive to the uncertainty arising from variables with software attributes such as logistics services and that policy measures are needed to reduce the uncertainty of the enterprise management activities caused by the different logistics environment of their trading partners. In addition, as global trade barriers are eased and the trade environment is improving, we expect that leading conglomerates, as well as small to medium enterprises, will increase their opportunities to enter overseas markets.

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