세계화를 통해 글로벌 공급사슬은 더욱 복잡해지고, 고객들은 모든 물류서비스를 통합적으로 제공받을 수 있는 기업에 대한 의존도가 높아짐에 따라 고객들은 물류 기업에 대해서 가격뿐만 아니라 운영적인 측면에서 높은 효율성을 요구하고 있다. 이에 본 연구에서는 자료포락분석(Data Envelopment Analysis)을 중심으로 전세계 물류산업의 효율성의 추이와 비효율성에 영향을 미치는 요소들에 대한 연구를 진행하였다. 그 결과를 요약하면, 5개년간 세계의 물류산업의 효율성은 높아지는 추세를 보이고 있었으며, 비효율성은 규모에 의한 비효율성보다는 순수기술효율성에 의해 나타난 비효율성에 의해서 나타나고 있었다. 비효율성에 영향을 미치는 외부적인 요소를 살펴보면, 우선 세계화는 비효율성에 영향을 주고 있다. 세계화의 요소 중에서는 경제적인 요소보다는 전반적인 세계화 정도가 더 영향을 미쳤으며, 인프라와 관련되어서는 인력, 금융적 지원, 기반 등 소프트웨어적 측면의 영향력이 더 유의했으며 법제도적인 측면에서는 집행의 투명성, 법제도의 효과가 유의하게 영향을 미치는 것을 밝혀냈다.
세계화를 통해 글로벌 공급사슬은 더욱 복잡해지고, 고객들은 모든 물류서비스를 통합적으로 제공받을 수 있는 기업에 대한 의존도가 높아짐에 따라 고객들은 물류 기업에 대해서 가격뿐만 아니라 운영적인 측면에서 높은 효율성을 요구하고 있다. 이에 본 연구에서는 자료포락분석(Data Envelopment Analysis)을 중심으로 전세계 물류산업의 효율성의 추이와 비효율성에 영향을 미치는 요소들에 대한 연구를 진행하였다. 그 결과를 요약하면, 5개년간 세계의 물류산업의 효율성은 높아지는 추세를 보이고 있었으며, 비효율성은 규모에 의한 비효율성보다는 순수기술효율성에 의해 나타난 비효율성에 의해서 나타나고 있었다. 비효율성에 영향을 미치는 외부적인 요소를 살펴보면, 우선 세계화는 비효율성에 영향을 주고 있다. 세계화의 요소 중에서는 경제적인 요소보다는 전반적인 세계화 정도가 더 영향을 미쳤으며, 인프라와 관련되어서는 인력, 금융적 지원, 기반 등 소프트웨어적 측면의 영향력이 더 유의했으며 법제도적인 측면에서는 집행의 투명성, 법제도의 효과가 유의하게 영향을 미치는 것을 밝혀냈다.
According to the demand for services. a single point contract between a user and provider spreads over the industry, and the relationship between them is a main issue. The user wants to make a deal with the contributor which can provide the effective services to the user. This study is to estimate t...
According to the demand for services. a single point contract between a user and provider spreads over the industry, and the relationship between them is a main issue. The user wants to make a deal with the contributor which can provide the effective services to the user. This study is to estimate the efficiency of global logistics industry with Data Envelopment Analysis, by nations from 2001 to 2005. Furthermore, it tries to estimate the inefficiency affected by macro factors, and proves the association between them using Tobit model. Global logistics industry has made growth both externally and internally more than doubled for the last 5years. Technical inefficiency of global logistics industry is more influenced by pure technical inefficiency than inefficiency of scale. Therefore technical efficiency can be increased by decreasing pure technical inefficiency. Through this study, it found that the logistics industry got influenced to its efficiency by high price of oil, and courier and transportation service market is formed stably. Furthermore, it advocates policy planners to consider effectiveness and clearness of policy which influence to inefficiency of logistics industry. Also, it found that labor and financial support can give critical effect.
According to the demand for services. a single point contract between a user and provider spreads over the industry, and the relationship between them is a main issue. The user wants to make a deal with the contributor which can provide the effective services to the user. This study is to estimate the efficiency of global logistics industry with Data Envelopment Analysis, by nations from 2001 to 2005. Furthermore, it tries to estimate the inefficiency affected by macro factors, and proves the association between them using Tobit model. Global logistics industry has made growth both externally and internally more than doubled for the last 5years. Technical inefficiency of global logistics industry is more influenced by pure technical inefficiency than inefficiency of scale. Therefore technical efficiency can be increased by decreasing pure technical inefficiency. Through this study, it found that the logistics industry got influenced to its efficiency by high price of oil, and courier and transportation service market is formed stably. Furthermore, it advocates policy planners to consider effectiveness and clearness of policy which influence to inefficiency of logistics industry. Also, it found that labor and financial support can give critical effect.
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가설 설정
① The degree of globalization of each country decreases the inefficiency.
② The capability of infrastructures of individual nation diminishes the inefficiency.
제안 방법
Given the importance of efficiency in the delivery of logistics services, this study aims to estimate and compare the efficiency of logistics service providers operating across a range of countries using Data Envelopment Analysis (DEA) 2001 to 2005. Furthermore, it tries to explain their efficiency or inefficiency levels in terms of macroeconomic factors using Tobit model.
It operated jointly significance test by selecting various related factors to prove the assumption, and set the basic assumption like this to approve.
Data Envelopment Analysis is used in this study to measure the efficiency of the logistics industry across several countries for the period of 5 years. The results showed that the industry has grown which more than doubled for the past 5 years.
The major limitation of this study is that it is only based on secondary data without taking into account the likely effects of such principal events as September 11 or the rapid escalation in the price of aviation fuel. In addition, the study was conducted to include only those factors which influence inefficiency and the present condition of efficiency, but short of setting up a forecasting model.
aviation fuel. In addition, the study was conducted to include only those factors which influence inefficiency and the present condition of efficiency, but short of setting up a forecasting model.
대상 데이터
scale efficiency (SE) of nations. There were 32 nations of companies in the study however, 13 countries, which had less than five companies in the nation, were excluded from the study. The efficiencies are the arithmetic means categorized into nations in which company's headquarter located.
성능/효과
(2004) estimates efficiency and productivity in the US tricking and warehousing industry in the 48 contiguous states during the 1994-2000 period by using Data Envelopment Analysis. In the paper, if all inefficiency by the states were to be reduced, trucking accidents involving fatalities could have been eliminated three to four per state per year, while simultaneously increasing industry income.
At the second stage of the analysis, it was found that relative operational efficiency does not inherently imply superior financial mobility. He proposed that airlines need to have a process which allows the redirection of financial and other resources so that they can continue to operate in a dynamic environment characterized by unexpected events.
In analyzing technical efficiency, pure technical efficiency, and scale efficiency with the mean value in five years, technical efficiency is 0.220, which means that 78% of inefficiency existed. This indicates that 78% of input can be saved by efficient management while 78% of inefficient output exists.
The results showed that the industry has grown which more than doubled for the past 5 years. The study also revealed that the overall TE is 0.220 which means that it has been 78% inefficient. PET is 0.
후속연구
Future possible research is to explore other ways to measure efficiency by using stochastic frontier analysis or using a production function except DEA so that a comparative study of their respective results can be made. Moreover, further study can be done to investigate further the relationship between principal events and microscopic factors, how principal events can influence efficiency and to set up a forecasting model.
can be made. Moreover, further study can be done to investigate further the relationship between principal events and microscopic factors, how principal events can influence efficiency and to set up a forecasting model.
참고문헌 (19)
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