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A Study on Manufacturing Aggregation And Carbon Emission Intensity: Application of Spatial Panel Regression

국내 제조업 집적이 탄소 배출 강도에 미치는 영향: 공간패널회귀모형의 적용

  • Zhen Wu (Department of International Logistics, Chung-Ang University) ;
  • Hyun-Chung Kim (Northeast Asia Logistics and Distribution Research Center, Chung-Ang University)
  • 오진 (중앙대학교 국제물류학과 ) ;
  • 김현중 (중앙대학교 동북아물류유통연구소 )
  • Received : 2022.05.30
  • Accepted : 2022.06.28
  • Published : 2022.06.30

Abstract

This study calculates agglomeration indices of manufacturing specialization and diversification in different regions of South Korea. Two types of agglomeration indices are introduced into the spatial durbin model (SDM) to analyzes the effects of manufacturing agglomeration in Korea on CO2 emission intensity. The subjects of this study are 17 regions of South Korea , and the research period is from 2013 to 2019. This study also uses partial differential to analyze the direct and spillover effect of specialization and diversification agglomeration on CO2 emission intensity. From the perspective of direct effect, the results reveal that specialization agglomeration is an important factor contributing to Korea's CO2 emissions. However, diversification agglomeration has an obvious CO2 emission reduction effect. From the perspective of spillover effect, this study finds that specialization agglomeration in one region can also contribute to CO2 emissions in nearby regions. However, the development of diversification agglomeration in one region can have CO2 emission reduction spillover effect on neighboring regions.

Keywords

Acknowledgement

This research was supported by the 4th Educational Training Program for the Shipping, Port and Logistics from the Ministry of Oceans and Fisheries.

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