Application of Panel Data Model to Economic Effects of High-Speed Railway

doi:10.23940/ijpe.20.07.p15.11301138

Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (7): 1130-1138.doi: 10.23940/ijpe.20.07.p15.11301138

Application of Panel Data Model to Economic Effects of High-Speed Railway

Tiantian Wang^a, Baiji Li^a, and Gongpeng Zhang^b,*

^aSchool of Management, China University of Mining and Technology, Beijing, 100083, China;
^bCollaborative Innovation Center of eTourism, Beijing Union University, Beijing, 100101, China

Submitted on ; Revised on ; Accepted on
Contact: * E-mail address: gongpeng@buu.edu.cn
About author:Tiantian Wang is a PhD student from the School of Management, China University of Mining & Technology, Beijing. Her research interests include management science and engineering, and industrial economic development. E-mail: tbp1600501006@student.cumtb.edu.cn. Baiji Li is Professor and Doctoral Tutor of the School of Management, China University of Mining & Technology, Beijing. His research interests include management science and engineering, financial engineering and risk management, and energy economic management. E-mail: 13911056088@163.com. Gongpeng Zhang is an Associate Professor of Tourism College of Beijing Union University. His research interests include management science and engineering, and smart tourism. E-mail: gongpeng@buu.edu.cn

Abstract

Abstract: By taking Beijing-Shijiazhuang high-speed railway (HSR) as the research object, this thesis selects the panel data from 2000 to 2015 of 23 cities, and uses the synthetic control method to construct the “counterfactual” state to analyse the economic impact of the Beijing-Shijiazhuang HSR on Baoding and Shijiazhuang along the line. The research shows that: a) The synthetic control method can effectively match the economic impact of Beijing-Shijiazhuang HSR on Baoding and Shijiazhuang. b) The investment pulling effect of Beijing-Shijiazhuang HSR on Baoding is greater than the industrial driving effect, while the situation in Shijiazhuang City is just the opposite. c) For the influence mechanism, it is found that Beijing-Shijiazhuang HSR has an economic overflow effect on large cities and a siphon effect on small and medium-sized cities. It has a complementary effect on the small and medium-sized cities in the primary and secondary industries, and agglomeration on large cities in the tertiary industry.

Key words: high-speed railway, economic effects, panel data, synthetic control method

Tiantian Wang, Baiji Li, and Gongpeng Zhang. Application of Panel Data Model to Economic Effects of High-Speed Railway [J]. Int J Performability Eng, 2020, 16(7): 1130-1138.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References

1. H. Jiang, J. Xu,Y. Qi, “Impart of Jing-Hu High-Speed Railway on Land Accessibility of Regional Central Cities,”Geography Journal, Vol. 10, pp. 1287-1298, 2010
2. U. Blum, K. Haynes,C. Karlsson, “The Regional and Urban Effects of High-speed Trains,” The Annals of Regional Science, Vol. 31, No. 1, pp. 1-20, May 1997
3. K. Haynes, “Labour Markets and Regional Transportation Improvements: The Case of High Speed Trains, an Introduction and Review,” The Annals of Regional Science, Vol. 31, No. 1, pp. 57-76, May 1997
4. M. Givoni, “Development and Impact of the Modern High-speed Train: A Review,” Transport Reviews, Vol. 26, No. 5, pp. 593-611, 2006
5. J. Willigers and B. Wee, “High-Speed Rail and Office Location Choices. A Stated Choice Experiment for the Netherlands,” Journal of Transport Geography, Vol. 19, No. 4, pp. 745-754, July 2011
6. K. Spiekermann and M. Wegener, “Trans-European Networks and Unequal Accessibility in Europe,”European Journal of Regional Development, pp. 35-42, April 1996
7. H. Kim and S. Sultana, “The Impacts of High-speed Rail Extensions on Accessibility and Spatial Equity Changes in South Korea from 2004 to 2018,” Journal of Transport Geography, Vol. 45, pp. 48-61, May 2015
8. Y. Mo, X. Huang,X. Liu, “Study on the Economic Impact of High-speed Railway on Guangdong and Guangxi — The Empirical Analysis based on DID Econometric Model,”Reformation and Strategy, Vol. 34, pp. 76-81, 2018
9. B. Corinne and K. Martin, “The Local Economic Impacts of High-Speed Railways: Theories and Facts,” European Transport Research Review, Vol. 9, No. 2, pp. 1-14, 2017
10. A. Abadie and J. Gardeazabal, “The Economic Costs of Conflict: A Case Study of the Basque Country,” American Economic Review, Vol. 93, No. 1, pp. 113-132, March 2003
11. R. Barro, “Economic Growth in a Cross Section of Countries,” The Quarterly Journal of Economics, Vol. 106, No. 2, pp. 407-443, May 1991

Application of Panel Data Model to Economic Effects of High-Speed Railway

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 0

Recommended 0