한국 물류산업의 효율성과 생산성: 비모수적 기법과 모수적 기법의 적용

Abstract

The main purpose of this paper is to investigate the efficiency and productivity of 40 logistics industries in Korea using a variety of method: super CCR, super SBM, DEA window analysis, and the Malmquist productivity index. The super efficiency model is a method for selecting the most efficient of all efficient decision making units (DMUs). The super SBM (slack-based measure of super-efficiency) model was introduced as an alternative method to calculating the super efficiency score without considering the slacks of input variables and output variables. Using these models, the most efficient DMU has a value greater than one. The Malmquist productivity index has many attractive features. For one thing, it decomposes the result into a technical efficiency change index and frontier change index, allowing the productivity change to be attributed to either changes in technical efficiency or changes in technology(i.e., technological progress in the industry), or both. The total factor productivity change is the product of technical efficiency change and technological change. Technical efficiency change can be decomposed into pure technical efficiency and scale efficiency change. Window analysis is one of methods used to verify productivity change over time and works on the principle of moving averages. DEA window analysis is used to measure efficiency in cross-sectional and time variant data. Thus, it is useful for detecting performance trends for a DMU over time. Each DMU is treated as a different industry in a different period, which allows for increasing the number of data points. In other words, each DMU in a different period is treated as if it were an independent DMU but remains comparable in the same window. The advantage of DEA window analysis is that the performance of an industry in a given period can be compared to itself and to other industries over time. The empirical results are as follows: First, by both the super CCR efficiency and super SBM efficiency methods, inefficiency of land transport and water transport was indicated as 67-74% and 30-44% respectively. These results indicate that land is the most inefficient form of transport, whereas water transport is the most efficient. The annual efficiency values revealed that the degree of inefficiency has increased since 2011. Also, detailed results for sectors show that ocean shipping is the most efficient way to transport cargo, whereas urban rail transport is the most inefficient. Second, tobit panel analysis showed that labor productivity has positive impact on efficiency, whereas average cost has negative impact on efficiency. Third, the DEA window analysis results calculated using LDP values and standard deviations show that ferry transport is the most stable, whereas urban railway transport is the most unstable. Fourth, Malmquist productivity index results show that productivity improved 1.6% on average, with technological progress being the major factor decreasing productivity. These results indicate that it is necessary to expand the logistics market to increase the efficiency of the industry. To do so, many efforts must be made to global leadership in logistics enterprises, invest on global logistics infrastructure, increase research and development, and expand the future use of new technologies.