산업연관표를 이용한 해운물류업의 산업간 연계구조 - 사회네트워크분석을 중심으로 - (Interindustrial Linkages of the Shipping and Logistics Industry - A Social Network Analysis Using Input - output Tables -)

서지정보

· 발행기관 : 한국해운물류학회
· 수록지 정보 : 해운물류연구 / 32권 / 3호 / 435 ~ 455페이지
· 저자명 : 변장섭

초록

본 연구는 2010년도 산업연관표를 이용하여, 사회네트워크분석의 관점에서 해운물류업의 산업간 연계구조를 살펴보았다. 특히 산업연관분석의 가상추출법을 이용하여 해운물류업을 국민경제에서 제외하였을 경우 나타나는 전체 산업의 연계구조의 변화를 추정하였다. 분석결과는 다음과 같다, 첫째, 해운물류업은 산업간 연계구조에서 중심적인 역할은 직접적으로 못하고 있고, 특히 수입거래에 의존하고 있어 해외의 수요변화에 취약한 구조를 가지고 있다. 둘째, 해운물류업에 의한 경제적 연계효과가 높은 산업은 석탄 및 석유제품 제조업, 광업, 운수업, 부동산 및 임대업 등 이며, 이러한 산업들은 산업간 연계구조에서도 중심적인 역할을 하고 있다. 따라서 국가의 산업정책상 해운물류업을 육성시키기 위해서는 이러한 산업들과의 연계정책을 우선 고려해야 할 것이다.

영어초록

This study examines the interindustrial linkages of the shipping and logistics industry, focusing on Social Network Analysis (SNA) via input-output tables. Specifically, using the Hypothetical Extraction Method (HEM) for interindustry analysis, this study explores the changes in the interindustrial linkages of entire industries after excluding the shipping and logistics industry from the national economy. The empirical analysis provides the following four results. First, the degree centrality of the shipping and logistics industry is estimated to be low, namely, it does not play a central role in the interindustrial linkages of entire industries. Third, this study utilizes the HEM to estimate the interindustrial linkages of the shipping and logistics industry due to a change in the final demand, and finds that the shipping and logistics industry has many links with other industries, such as transportation (for equipment, rent, and fuel), petroleum and coal product manufacturing, mining and quarrying, and real estate and leasing. Lastly, utilizing the HEM, this study compares the effects with regard to interindustrial linkages before and after excluding the shipping and logistics industry, and finds that the above-mentioned industries experience the largest decrease in their respective prestige centrality. In other words, these industries may be recognized as having the highest linkages with the shipping and logistics industry. In conclusion, the shipping and logistics industry does not play a central role in interindustrial linkages. However, the following industries show high economic linkage effects owing to the shipping and logistics industry, as they play a central role in the interindustrial linkages with this industry: petroleum and coal product manufacturing, mining and quarrying, transportation, and real estate and leasing. Therefore, in order to foster the shipping and logistics industry through national industrial policies, governments must preferentially consider the corresponding linkage policies with these industries. This study estimates the interindustrial linkages of the shipping and logistics industry using input-output tables at the level. However, the features of the shipping and logistics industry for different regions will vary with regard to the regional economies. Therefore, future studies should use regional input-output tables, so as to be able to derive suitable regional-level policy implications for the shipping and logistics industry.

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