국내 지역별 도로운송네트워크가 지역경제에 미치는 영향: SNA 및 공간패널회귀모형의 적용A Study on Road Transport Network And Economy effect in Korea: Application of SNA and Spatial Panel Regression
- Authors
- 오진호; 안재선; 오진
- Issue Date
- Apr-2022
- Publisher
- 한국무역학회
- Keywords
- Road Transport; Social Network Analysis; SNA; Spatial Panel Regression; Spillover effect
- Citation
- 무역학회지, v.47, no.2, pp 175 - 193
- Pages
- 19
- Journal Title
- 무역학회지
- Volume
- 47
- Number
- 2
- Start Page
- 175
- End Page
- 193
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/61429
- DOI
- 10.22659/KTRA.2022.47.2.175
- ISSN
- 1226-2765
- Abstract
- This study analyzes the effects of road transportation networks on the local economy in korea. The analysis methods are SNA and spatial panel regression model. The subjects of this study are inland areas of Korea, and the research period is from 2010 to 2019. The network analysis showed that the connection centrality of Gyeongg-do was high internally and externally. Gyeonggi-do has played a central role in the domestic road freight transportation industry. The results of spatial panel regression analysis showed that there was economic competition between regions. Domestic road transportation industry has been competitive among regions and has economic ripple effect. And Internal cargo has been shown to boost the economy of the region. But internal cargo has been shown to lower the economy of surrounding regions, but external cargo has been shown to increase the economy. In order to revitalize the local economy, it is necessary to increase road cargo.
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