비모수적 방법론을 이용한 교통물류산업의 생산성 분석

Abstract

In this study, the overall productivity change of the transportation logistics industry is analyzed using the non-parametric method, the first-order stochastic dominance, and the Kolmogorov-Smirnov test. In order to do that, we use “Transportation Survey 2004 and 2014” data provided by Korean Statistical Office. The analysis shows that per capita productivity has increased in the land and pipeline transportation, water transportation, and warehouse and transportation services industries. It is analyzed that productivity per person increases in the land passenger transportation industry and the road freight transportation industry, which are the subdivisions of the land and pipeline transportation industry. However, in the case of the road freight transportation industry, productivity per capita deteriorated at marginal enterprises, which led to suspicions that the various freight industries policies in the 2000s had intensified polarization. The maritime transport industry and the inland water transport and in-port transportation industry, which are sub-sectors of the water transport industry are also found to improve productivity per capita. In addition, the sub-sectors of warehouse and transportation service industries, such as the warehousing and the transportation-related services, are expected to improve productivity per capita in 2014 compared to 2004. Therefore, the per capita productivity of the warehouse and transportation-related service industries also increased in 2014 compared to 2004. As a result of this study, it is found that transportation companies` productivity increases with the overall change in the transportation logistics industry in Korea in the 2000s. However, it is difficult to grasp whether this change in productivity is caused by government policy changes or by the efforts of individual companies. This is also the limit of this study. Anyway, this study will be meaningful in that it has observed the productivity change of the overall transportation logistics industry including the 2000s and 2010s.