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Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis

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  • Yuan, Hang
  • Guan, Zhihua
  • Jiang, Changmin
  • Yang, Hangjun

Abstract

The construction of China’s extensive high-speed rail (HSR) network is driven by various motives of different participants. This study employs an improved spatial econometric model to examine the motivation of local officials behind the construction of HSR stations. We employ a comprehensive dataset consisting of information about HSR station construction, the promotion of officials, the economic growth rate, etc., in 246 prefecture-level cities in China. The findings suggest that local officials are not making their decisions regarding HSR stations solely on conditions in their own cities. The construction of HSR stations is largely affected by the peer effect arising from geographic adjacency, economic adjacency and administrative adjacency. This is mainly because China’s local officials are engaged in the Promotion Tournament based on Yardstick Competition. Political promotion strengthens the peer effect. In addition, the fact that no directional learning between developed and underdeveloped cities reveals the severity of the peer effect in the construction of HSR stations. This paper has also offered several policy implications based on empirical analysis.

Suggested Citation

  • Yuan, Hang & Guan, Zhihua & Jiang, Changmin & Yang, Hangjun, 2023. "Peer effect in the construction of China’s high-speed rail stations: Empirical evidence from spatial econometric analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
  • Handle: RePEc:eee:transa:v:173:y:2023:i:c:s0965856423001404
    DOI: 10.1016/j.tra.2023.103720
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    as
    1. Chen, Zhenhua & Xue, Junbo & Rose, Adam Z. & Haynes, Kingsley E., 2016. "The impact of high-speed rail investment on economic and environmental change in China: A dynamic CGE analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 232-245.
    2. Alexandre Mas & Enrico Moretti, 2009. "Peers at Work," American Economic Review, American Economic Association, vol. 99(1), pages 112-145, March.
    3. Nalebuff, Barry J & Stiglitz, Joseph E, 1983. "Information, Competition, and Markets," American Economic Review, American Economic Association, vol. 73(2), pages 278-283, May.
    4. Bramoullé, Yann & Djebbari, Habiba & Fortin, Bernard, 2009. "Identification of peer effects through social networks," Journal of Econometrics, Elsevier, vol. 150(1), pages 41-55, May.
    5. Lee, Lung-fei & Yu, Jihai, 2010. "Estimation of spatial autoregressive panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 154(2), pages 165-185, February.
    6. Li Zhou & Fan Zhang & Shudong Zhou & Calum G. Turvey, 2020. "The peer effect of training on farmers' pesticides application: a spatial econometric approach," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 481-505, June.
    7. Cheti Nicoletti & Kjell G. Salvanes & Emma Tominey, 2018. "The Family Peer Effect on Mothers' Labor Supply," American Economic Journal: Applied Economics, American Economic Association, vol. 10(3), pages 206-234, July.
    8. Gordon B. Dahl & Katrine V. L?ken & Magne Mogstad, 2014. "Peer Effects in Program Participation," American Economic Review, American Economic Association, vol. 104(7), pages 2049-2074, July.
    9. Zhu, Xinhua & Qian, Tiannan & Wei, Yigang, 2020. "Do high-speed railways accelerate urban land expansion in China? A study based on the multi-stage difference-in-differences model," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    10. Cheung, Tommy King-Yin & Wong, Wai-hung & Zhang, Anming & Wu, Yangming, 2020. "Spatial panel model for examining airport relationships within multi-airport regions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 148-163.
    11. Antoni Calvó-Armengol & Eleonora Patacchini & Yves Zenou, 2009. "Peer Effects and Social Networks in Education," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 76(4), pages 1239-1267.
    12. Zhang, Anming & Wan, Yulai & Yang, Hangjun, 2019. "Impacts of high-speed rail on airlines, airports and regional economies: A survey of recent research," Transport Policy, Elsevier, vol. 81(C), pages 1-19.
    13. Jan Feld & Ulf Zölitz, 2017. "Understanding Peer Effects: On the Nature, Estimation, and Channels of Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 35(2), pages 387-428.
    14. Adler, Nicole & Pels, Eric & Nash, Chris, 2010. "High-speed rail and air transport competition: Game engineering as tool for cost-benefit analysis," Transportation Research Part B: Methodological, Elsevier, vol. 44(7), pages 812-833, August.
    15. Conley, Timothy G & Ligon, Ethan, 2002. "Economic Distance and Cross-Country Spillovers," Journal of Economic Growth, Springer, vol. 7(2), pages 157-187, June.
    16. Patacchini, Eleonora & Venanzoni, Giuseppe, 2014. "Peer effects in the demand for housing quality," Journal of Urban Economics, Elsevier, vol. 83(C), pages 6-17.
    17. Trogdon, Justin G. & Nonnemaker, James & Pais, Joanne, 2008. "Peer effects in adolescent overweight," Journal of Health Economics, Elsevier, vol. 27(5), pages 1388-1399, September.
    18. Jie Cao & Hao Liang & Xintong Zhan, 2019. "Peer Effects of Corporate Social Responsibility," Management Science, INFORMS, vol. 65(12), pages 5487-5503, December.
    19. Armin Falk & Andrea Ichino, 2006. "Clean Evidence on Peer Effects," Journal of Labor Economics, University of Chicago Press, vol. 24(1), pages 39-58, January.
    20. Alejandro Gaviria & Steven Raphael, 2001. "School-Based Peer Effects And Juvenile Behavior," The Review of Economics and Statistics, MIT Press, vol. 83(2), pages 257-268, May.
    21. Chen, Chia-Lin, 2012. "Reshaping Chinese space-economy through high-speed trains: opportunities and challenges," Journal of Transport Geography, Elsevier, vol. 22(C), pages 312-316.
    22. Green, Jerry R & Stokey, Nancy L, 1983. "A Comparison of Tournaments and Contracts," Journal of Political Economy, University of Chicago Press, vol. 91(3), pages 349-364, June.
    23. Yang, Hangjun & Ma, Wenliang & Wang, Qiang & Wang, Kun & Zhang, Yahua, 2020. "Welfare implications for air passengers in China in the era of high-speed rail," Transport Policy, Elsevier, vol. 95(C), pages 1-13.
    24. Lyytikäinen, Teemu, 2012. "Tax competition among local governments: Evidence from a property tax reform in Finland," Journal of Public Economics, Elsevier, vol. 96(7-8), pages 584-595.
    25. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    26. Toni Mora & Joan Gil, 2013. "Peer Effects In Adolescent Bmi: Evidence From Spain," Health Economics, John Wiley & Sons, Ltd., vol. 22(5), pages 501-516, May.
    27. Li, Hongbin & Zhou, Li-An, 2005. "Political turnover and economic performance: the incentive role of personnel control in China," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1743-1762, September.
    28. Zhang, Tao & Zou, Heng-fu, 1998. "Fiscal decentralization, public spending, and economic growth in China," Journal of Public Economics, Elsevier, vol. 67(2), pages 221-240, February.
    29. Li, Shaoshuai & Li, Zhigang & Yuan, Jia, 2020. "Examining the impact of high-speed railways on land value and government revenue: Evidence from China," China Economic Review, Elsevier, vol. 63(C).
    30. Meng, Xuechen & Lin, Shanlang & Zhu, Xiaochuan, 2018. "The resource redistribution effect of high-speed rail stations on the economic growth of neighbouring regions: Evidence from China," Transport Policy, Elsevier, vol. 68(C), pages 178-191.
    31. Caldeira, Emilie, 2012. "Yardstick competition in a federation: Theory and evidence from China," China Economic Review, Elsevier, vol. 23(4), pages 878-897.
    32. Lin, Xu & Lee, Lung-fei, 2010. "GMM estimation of spatial autoregressive models with unknown heteroskedasticity," Journal of Econometrics, Elsevier, vol. 157(1), pages 34-52, July.
    33. David J. Zimmerman, 2003. "Peer Effects in Academic Outcomes: Evidence from a Natural Experiment," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 9-23, February.
    34. Ke, Xiao & Chen, Haiqiang & Hong, Yongmiao & Hsiao, Cheng, 2017. "Do China's high-speed-rail projects promote local economy?—New evidence from a panel data approach," China Economic Review, Elsevier, vol. 44(C), pages 203-226.
    35. Hiwatari, Masato, 2016. "Social networks and migration decisions: The influence of peer effects in rural households in Central Asia," Journal of Comparative Economics, Elsevier, vol. 44(4), pages 1115-1131.
    36. Andrei Shleifer, 1985. "A Theory of Yardstick Competition," RAND Journal of Economics, The RAND Corporation, vol. 16(3), pages 319-327, Autumn.
    37. Theodoros Skevas & Ioannis Skevas & Nicholas Kalaitzandonakes, 2022. "The role of peer effects on farmers’ decision to adopt unmanned aerial vehicles: evidence from Missouri," Applied Economics, Taylor & Francis Journals, vol. 54(12), pages 1366-1376, March.
    38. Charles F. Manski, 1993. "Identification of Endogenous Social Effects: The Reflection Problem," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(3), pages 531-542.
    39. Bruce Sacerdote, 2001. "Peer Effects with Random Assignment: Results for Dartmouth Roommates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 681-704.
    40. Justin Yifu Lin & Zhiqiang Liu, 2000. "Fiscal Decentralization and Economic Growth in China," Economic Development and Cultural Change, University of Chicago Press, vol. 49(1), pages 1-21.
    41. Shi, Xiangyu & Xi, Tianyang, 2018. "Race to safety: Political competition, neighborhood effects, and coal mine deaths in China," Journal of Development Economics, Elsevier, vol. 131(C), pages 79-95.
    42. Moshe Givoni, 2006. "Development and Impact of the Modern High‐speed Train: A Review," Transport Reviews, Taylor & Francis Journals, vol. 26(5), pages 593-611, January.
    43. Biyue Wang & Martin de Jong & Ellen Van Bueren & Aksel Ersoy & Yawei Chen, 2021. "Unravelling Decision-Making Processes on Location Choices for High-Speed Railway Stations in China: A Comparison of Shenzhen, Lanzhou and Jingmen," Planning Theory & Practice, Taylor & Francis Journals, vol. 22(3), pages 433-454, May.
    44. Yang Yao & Muyang Zhang, 2015. "Subnational leaders and economic growth: evidence from Chinese cities," Journal of Economic Growth, Springer, vol. 20(4), pages 405-436, December.
    45. Li Zhou & Fan Zhang & Shudong Zhou & Calum G. Turvey, 2020. "The peer effect of training on farmers' pesticides application: a spatial econometric approach," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 12(3), pages 481-505, June.
    46. Yu, Jihai & Zhou, Li-An & Zhu, Guozhong, 2016. "Strategic interaction in political competition: Evidence from spatial effects across Chinese cities," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 23-37.
    47. Diao, Mi, 2018. "Does growth follow the rail? The potential impact of high-speed rail on the economic geography of China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 279-290.
    48. Liu, Xiaodong & Lee, Lung-fei & Bollinger, Christopher R., 2010. "An efficient GMM estimator of spatial autoregressive models," Journal of Econometrics, Elsevier, vol. 159(2), pages 303-319, December.
    49. Zhao, Jing & Zhao, Ziru & Zhang, Huan, 2021. "The impact of growth, energy and financial development on environmental pollution in China: New evidence from a spatial econometric analysis," Energy Economics, Elsevier, vol. 93(C).
    50. Peter Burridge & J. Paul Elhorst & Katarina Zigova, 2016. "Group Interaction in Research and the Use of General Nesting Spatial Models," Advances in Econometrics, in: Spatial Econometrics: Qualitative and Limited Dependent Variables, volume 37, pages 223-258, Emerald Group Publishing Limited.
    51. Xu Lin, 2010. "Identifying Peer Effects in Student Academic Achievement by Spatial Autoregressive Models with Group Unobservables," Journal of Labor Economics, University of Chicago Press, vol. 28(4), pages 825-860, October.
    52. Lung-fei Lee, 2003. "Best Spatial Two-Stage Least Squares Estimators for a Spatial Autoregressive Model with Autoregressive Disturbances," Econometric Reviews, Taylor & Francis Journals, vol. 22(4), pages 307-335.
    53. Kondo, Ayako & Shoji, Masahiro, 2019. "Peer effects in employment status: Evidence from housing lotteries," Journal of Urban Economics, Elsevier, vol. 113(C).
    54. Lung-fei Lee & Xiaodong Liu & Xu Lin, 2010. "Specification and estimation of social interaction models with network structures," Econometrics Journal, Royal Economic Society, vol. 13(2), pages 145-176, July.
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