The rapid development of high-speed railways in China has greatly promoted exchanges and cooperation between the regions, and improved the level of collaborative innovation and economic efficiency between the regions. Based on the panel data of municipalities and prefecture-level cities in 2004—2014, this paper empirically analyzes the heterogeneity impact of high-speed rail opening on the growth rate of TFP and further tests the robustness of the empirical results. The results show that, on the whole, the opening of high-speed rail promotes the growth rate of TFP in the opening regions, but there are differences in different levels of cities: the opening of high-speed rail improves the TFP growth rate in regional central urban areas and non-central urban areas, but inhibits the growth rate of TFP in the central cities of the whole country. From a regional perspective, the high-speed rail opening has different TFP growth rates for different opening regions: the opening of high-speed rail has promoted the growth rate of TFP in the eastern region, but the impact on the growth rate of TFP in the central and western regions is not significant. In addition, the high-speed rail has a heterogeneous impact on the dynamic effect and the hysteresis effect of the TFP growth rate in the opening area. At the same time, the opening of high-speed rail has a heterogeneous impact on the improvement of technical efficiency, the rate of technological progress and the change of scale efficiency in different levels of cities and regions, and has the largest impact on the change of scale efficiency.
/ Journals / Journal of Finance and Economics
Journal of Finance and Economics
LiuYuanchun, Editor-in-Chief
ZhengChunrong, Vice Executive Editor-in-Chief
YaoLan BaoXiaohua HuangJun, Vice Editor-in-Chief
An Analysis of the Heterogeneous Impact of the High-Speed Rail Opening on the Growth Rate of Total Factor Productivity
Journal of Finance and Economics Vol. 45, Issue 05, pp. 84 - 98 (2019) DOI:10.16538/j.cnki.jfe.2019.05.007
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References
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[1]Dong Yanmei, Zhu Yingming. Can High-Speed Rail Construction Reshape the Layout of China’s Economic Space: Based on the Perspective of Regional Heterogeneity of Employment, Wage and Economic Growth[J]. China Industrial Economics, 2016, (10):92−108. (In Chinese)
[2]Guo Jianke, Wang Shaobo, Li Bo et al. The Spatial Effect of Harbin-Dalian High-speed Rail to the Northeast City Tourism Economic Link. Scientia Geographica Sinica, 2016, 36(4):521-529. (In Chinese)
[3]Jiang Haibing, Zhang Wenzhong, QI Yi et al. The land accessibility influenced by China's high-speed rail network and travel cost[J]. Geographical Research, 2015, (6):1015−1028. (In Chinese)
[4]Long Xiaoning, Gao Xiang. Transportation Infrastructureand Productivity of Manufacturing Firms: Evidence from County-level Expressway Data and Chinese Industrial Enterprises Database [J]. Journal of Central China Normal University(Humanities and Social Sciences), 2014, (5):43−52. (In Chinese)
[5]Tan Zhibo, Zhou Li’an, Yue Zhao. “County Administrated by Province” Reform, Fiscal Decentralization and People’s Welfare: A Difference-in-Differences Estimation[J]. China Economic Quarterly, 2015, (3):1093−1114. (In Chinese)
[6]Wang Yufei, Ni Pengfei. Economic Growth Spillover and Spatial Optimization of High-speed Railway[J]. China Industrial Economics, 2016, (2):21−36. (In Chinese)
[7]Yin Ping. High-speed Railway ( HSR) and Establishment of New Pattern of Regional Tourism:
A Case Study of the High-speed Railway between Zhengzhou and Xi'an[J]. Tourism Tribune, 2012, (12):47−53. (In Chinese)
[8]Yuan Hang, Zhu Chengliang. Do National High-Tech Zones Promote the Transformation and Upgrading of China’s Industrial Structure[J]. China Industrial Economics, 2018, (8):60−77. (In Chinese)
[9]Zhang Jianhua and Wang Peng. China’s Growth in Total Factor Productivity: a Re-estimation Based on Provincial Capital Depreciation Rate[J]. Management World, 2012, (10):18−30. (In Chinese)
[10]Zhang Kezhong, Tao Dongjie. Economic Distribution Effect of Transportation Infrastructure: Evidence from the Opening of High-speed Railway[J]. Economic Perspectives, 2016, (6):62−73. (In Chinese)
[11]Albalate D, Bel G. High-Speed Rail: Lessons for Policy Makers from Experiences Abroad[J]. Public Administration Review, 2012, 72(3):336–349. (In Chinese)
[12]Battese G E, Coelli T J. Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India[M].International applications of productivity and efficiency analysis. Springer Netherlands, 1992: 149-165.
[13]Bowes D R, Ihlanfeldt K R. Identifying the impacts of rail transit stations on residential property values[J]. Journal of Urban Economics,2001,50(1):1-25.
[14] Cantos, P. , M. Gumbau-Albert & J. Maudos. Transport infrastructures, spillover effects and regional growth: evidence of the Spanish case[J]. Transport Reviews, 2005, 25(1):25-50.
[15] Capello R. The City Network Paradigm: Measuring Urban Network Externalities[J]. Urban Studies, 2000, 37(11):1925-1945.
[16]Givoni M. Development and Impact of the Modern High‐speed Train: A Review[J]. Transport reviews, 2006, 26(5): 593-611.
[17]Hall P. Magic Carpets and Seamless Webs: Opportunities and Constraints for High-Speed Trains in Europe[J]. Built Environment , 2009, 35(1):59-69.
[18]Jia S, Zhou C, Qin C. No difference in effect of high-speed rail on regional economic growth based on match effect perspective?[J]. Transportation Research Part A Policy & Practice, 2017, 106:144–157.
[19]Jiao J, Wang J, Jin F. Impacts of high-speed rail lines on the city network in China[J]. Journal of Transport Geography, 2017, 60:257-266.
[20]Krugman P. Scale economies, product differentiation, and the pattern of trade[J]. The American Economic Review, 1980, 70(5): 950-959.
[21]Kumbhakar S C, Lovell C A. Knox (2000) Stochastic Frontier Analysis[J]. 2000.
[22]Oosterhaven J, Romp W E. Indirect economic effects of new infrastructure: a comparison of Dutch high speed rail variants[J]. Tijdschrift voor economische en sociale geografie, 2003, 94(4): 439-452.
[23]Qin Y. ‘No county left behind?’ The distributional impact of high-speed rail upgrades in China[J]. Journal of Economic Geography, 2017, 17(3):lbw013.
[24]Shao S, Tian Z, Yang L. High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region[J]. Journal of Transport Geography, 2017, 64:174-183.
[25]Ureña J M, Menerault P, Garmendia M. The high-speed rail challenge for big intermediate cities: A national, regional and local perspective[J]. Cities, 2011, 26(5):266-279.
[26]Vickerman R, Spiekermann K, Wegener M. Accessibility and economic development in Europe[J]. Regional studies. 1999, 33(1):1-5.
[27]Whelan G, Johnson D. Modelling the impact of alternative fare structures on train overcrowding[J]. International journal of transport management, 2004, 2(1): 51-58.
[28]Zheng S, Kahn ME. China’s bullet trains facilitate market integration and mitigate the cost of megacity growth[J]. Proceedings of the National Academy of Sciences. 2013,110(14):E1248-53.
Cite this article
Sun Guangzhao, Huang Kainan. An Analysis of the Heterogeneous Impact of the High-Speed Rail Opening on the Growth Rate of Total Factor Productivity[J]. Journal of Finance and Economics, 2019, 45(5): 84-98.
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