DOI QR코드

DOI QR Code

A Study on Road Transport Network And Economy effect in Korea: Application of SNA and Spatial Panel Regression

국내 지역별 도로운송네트워크가 지역경제에 미치는 영향: SNA 및 공간패널회귀모형의 적용

  • Jin-Ho Oh (Department of Commerce and Trade, Kyungpook National University) ;
  • Jae-Seon Ahn (Department of Commerce and Trade, Kyungpook National University) ;
  • Zhen Wu (Department of International Logistics, Chung-Ang University)
  • 오진호 (경북대학교 무역학과) ;
  • 안재선 (경북대학교 무역학과) ;
  • 오진 (중앙대학교 국제물류학과)
  • Received : 2022.04.07
  • Accepted : 2022.04.29
  • Published : 2022.04.30

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.

Keywords

Acknowledgement

This research was supported by the BK21 project funded by the Ministry of Education and National Research Foundation of Korea (4299990214398)

References

  1. Anselin, L., Gallo, J. L., and Jayet, H. (2008), Spatial panel econometrics. In The econometrics of panel data (pp. 625-660), Springer, Berlin, Heidelberg.
  2. Carpenter, M. A., Li, M. and Jiang, H (2012), Social network research in organizational contexts: A systematic review of methodological issues and choices, Journal of Management, 38(4), 2012, pp.1328-1361. https://doi.org/10.1177/0149206312440119
  3. Chen, Y., Liu, Y., Guo, D., Chen, Z., and Li, X. (2020), Freight transit assignments for an integrated network of road transportation and underground logistics systems, Journal of Pipeline Systems Engineering and Practice, 11(2), 04020014.
  4. Cho, Chan-Hyouk and Kim, Eun-Chae (2005), Evaluating Service Quality of the Rail and Road Container Transport in Kyungin-Busan Corridor, Korea Logistics Review, 15(3), 151-171.
  5. Cho, Sung-Woo and Jung-Ho Na (2021), A Study to Present the Vitalization Issues of Gunsan Port based on Origin-Destination Analysis, Regional industry review, 44(2), 217-245. https://doi.org/10.33932/rir.44.2.10
  6. Choi Chang-Ho (2012), A Study on the Resistance Factors about Modal Shift of Container Transport by Land: Focusing on the Transfer Nodes between Truck Links and Freight Train Links, Journal of Korean Society of Transportation, 30(3), 17-30. https://doi.org/10.7470/jkst.2012.30.3.017
  7. Choi, Bong-Ho (2009), A Study on the Economic Effects of Wide-Regional Zones Port Logistic Industry, Journal of Korea Port Economic Association, 25(5), 21-42.
  8. Elhorst, J. P.(2014), Spatial econometrics: from cross-sectional data to spatial panels (Vol. 479, p. 480). Heidelberg: Springer. 
  9. Freeman, L. C (1979), Centrality in Social Networks: Conceptual Clarification, Social Networks, 1(3), 215-239. https://doi.org/10.1016/0378-8733(78)90021-7
  10. Greene, W. H. (2003), Econometric analysis, Pearson Education India.
  11. Han, Bo-Hyun and Byung-Il Ahn (2016), Analysis of Changes in Agricultural Trade Network, Journal of Rural Development, 39(2), 93-128.
  12. Jeong, Boon-Do and Geum-Woo Hong (2008), A Study on the Ripple Effect of Physical Distribution Service Industry on National Economy, Journal of Korea Port Economic Association, 24(2), 193-208.
  13. Jeong, Boon-Do and Geum-Woo Hong (2009), An Effect of Port-related Industry on Regional Economy, Journal of Korea Port Economic Association, 25(3), 303-320.
  14. Kim, Keun-Uk, Jung-Hoon Hwang and Kap-Soo Kim (2012), A Study on Analysis Spatial Structure of Industry by Using the Freight O/D - Focused on Daegu Metropolitan City, Korean Society of Civil Engineers(D), 32(6D), 557-563. https://doi.org/10.12652/Ksce.2012.32.6D.557
  15. Kim, Sang-Yeol, Ho Park, Han-Mo Koo and Dong-Keun Ryoo (2015), The Effects of the Port Logistics Industry on Port City's Economy, Journal of Navigation and Port Research, 39(3), 267-275. https://doi.org/10.5394/KINPR.2015.39.3.267
  16. Kim. An-Ho and Sung-Rae Ki (2005), Economic Effects of the Port Industries, Journal of Korea Port Economic Association, 21(4), 141-160.
  17. KOSIS(2022), population growth rate(webpage). Available from https://kosis.kr/statHtml/statHtml.do?orgId=101&tblId=DT_1YL20621
  18. Lee Chul-Hee (2021), Effect of County-Level Population Change on Local Demand for Logistics, Journal of Korean Economics Studies, 39(3), 5-34.
  19. Lee Ji-Min and Yun-Gyeong Oh (2018), Analyzing characteristics and centralities of the Agricultural Products Networks, Journal of Korea Planning Association, 53(1), 105-122. https://doi.org/10.17208/jkpa.2018.02.53.1.105
  20. Lee, L. F. and Yu, J. (2012), Spatial panels: Random components versus fixed effects, International Economic Review, 53(4), 1369-1412.
  21. Lee, Sang-Min, Hyun-Gi Kim and Hyang-Suk Lee (2005), An Analysis of the Freight Movement for Metropolitan Areas, Journal of Korea Transportation Research Society Conference paper, 48, 617-624.
  22. LeSage, J. and Pace, K. R.(2009), Introduction to Spatial Econometrics. Boca Raton: CRC Press.
  23. Levin, A., Lin, C. F., and Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties, Journal of econometrics, 108(1), 1-24. https://doi.org/10.1016/S0304-4076(01)00098-7
  24. Oh, Jin-ho (2018), A Study on the Improvement of Logistics Performance in Korea - Application of DEA-Window and Malmquist, Korea Logistics Review, 28(6), 111-125.
  25. Park, Byung-Ju (2014), O/D Analysis of General Cargo in Gyeongsangnam-do, Gyeongnam Institute, 1-40.
  26. Park, Seon-youl and Ho Park (2020), Analysis of Regional Specialization and Value-added Contribution of Local Logistics Industry, Journal of Korea Port Economic Association, 36(2), 87-108. https://doi.org/10.38121/kpea.2020.06.36.2.87
  27. Park, Young-Tae and Seung-Woo Kang (2005), The Implementation of the Pyeongtaek Port-Oriented Logistics Network Strategy in Kyonggi Province an Empirical Analysis on the Domestics Logistics system, Korea Distribution Association Conference paper, 327-353.
  28. Seo, Hong-Ryong (2014), Spatial Network Analysis of Coastal Shipping Logistics System in South Korea : Case of cement, Journal of Geography, 59, 142-169.
  29. Son Yong-Jung (2020), An Evaluation of Priority in Logistics Policies for Logistics Innovation Responding to Change in Industrial Trend and Cultivation of Smart-Logistics Industry, Journal of Corporation and Innovation, 43(4), 97-109.
  30. Son, Yong-Jung (2021), An Analysis of Liner Container Service Network Using Social Network Analysis-A Focus on Gwangyang Port, The e-Business Studies, 22(1), 179-194. https://doi.org/10.20462/TeBS.2021.2.22.1.179
  31. Yu, J., De Jong, R., & Lee, L. F. (2008), Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large, Journal of Econometrics, 146(1), 118-134 https://doi.org/10.1016/j.jeconom.2008.08.002