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The impact of transportation development on land price differences between cities: Widening or narrowing?—A case study based on the provincial level of Mainland China

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  • Tianshu Li
  • Zhigang Chen

Abstract

Exploring the impact of transportation development on land price differences between cities is of great significance to help guide the optimal allocation of land resources and promote the coordinated and balanced development of regions. This paper first discusses how regional transportation development influences land price differences between cities at a theoretical level. Then, by taking 26 provincial regions in the Chinese Mainland as research units, the specific effects of provincial transportation development on land price differences between cities are examined empirically by constructing econometric models. The results show that: (a) in recent years, the price of urban land in China has increased significantly, and the land price differences between cities are increasing in most provinces; and (b) provincial transportation development has a narrowing effect on land price differences between cities, and the spatial spillover effect brought by transportation development deserves attention. In the future, the role of transportation development in narrowing regional land price differences should be taken into consideration to promote the balanced development of the land market and the coordinated development of regions.

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  • Tianshu Li & Zhigang Chen, 2022. "The impact of transportation development on land price differences between cities: Widening or narrowing?—A case study based on the provincial level of Mainland China," Growth and Change, Wiley Blackwell, vol. 53(2), pages 910-932, June.
    • Handle: RePEc:bla:growch:v:53:y:2022:i:2:p:910-932
    DOI: 10.1111/grow.12614
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    as
    1. Sharma, Rohit & Newman, Peter, 2018. "Does urban rail increase land value in emerging cities? Value uplift from Bangalore Metro," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 70-86.
    2. Shu, Cheng & Xie, Hualin & Jiang, Jinfa & Chen, Qianru, 2018. "Is Urban Land Development Driven by Economic Development or Fiscal Revenue Stimuli in China?," Land Use Policy, Elsevier, vol. 77(C), pages 107-115.
    3. He, Dan & Yin, Qingmei & Zheng, Manxin & Gao, Peng, 2019. "Transport and regional economic integration: Evidence from the Chang-Zhu-Tan region in China," Transport Policy, Elsevier, vol. 79(C), pages 193-203.
    4. Su, Yaqin & Hua, Yue & Deng, Lanfang, 2021. "Agglomeration of human capital: Evidence from city choice of online job seekers in China," Regional Science and Urban Economics, Elsevier, vol. 91(C).
    5. Yuan, Feng & Wei, Yehua Dennis & Xiao, Weiye, 2019. "Land marketization, fiscal decentralization, and the dynamics of urban land prices in transitional China," Land Use Policy, Elsevier, vol. 89(C).
    6. Han, Wenjing & Zhang, Xiaoling & Zheng, Xian, 2020. "Land use regulation and urban land value: Evidence from China," Land Use Policy, Elsevier, vol. 92(C).
    7. Nathaniel Baum-Snow & Loren Brandt & J. Vernon Henderson & Matthew A. Turner & Qinghua Zhang, 2017. "Roads, Railroads, and Decentralization of Chinese Cities," The Review of Economics and Statistics, MIT Press, vol. 99(3), pages 435-448, July.
    8. Guo, Shen & Shi, Yingying, 2018. "Infrastructure investment in China: A model of local government choice under land financing," Journal of Asian Economics, Elsevier, vol. 56(C), pages 24-35.
    9. Yu, Nannan & de Jong, Martin & Storm, Servaas & Mi, Jianing, 2013. "Spatial spillover effects of transport infrastructure: evidence from Chinese regions," Journal of Transport Geography, Elsevier, vol. 28(C), pages 56-66.
    10. Chen, Chia-Lin & Hall, Peter, 2012. "The wider spatial-economic impacts of high-speed trains: a comparative case study of Manchester and Lille sub-regions," Journal of Transport Geography, Elsevier, vol. 24(C), pages 89-110.
    11. Jia, Shanming & Zhou, Chunyu & Qin, Chenglin, 2017. "No difference in effect of high-speed rail on regional economic growth based on match effect perspective?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 144-157.
    12. Yu, Mingzhe & Deng, Xin, 2021. "The Inheritance of Marketization Level and Regional Human Capital Accumulation: Evidence from China," Finance Research Letters, Elsevier, vol. 43(C).
    13. Cai, Fang & Wang, Dewen & Du, Yang, 2002. "Regional disparity and economic growth in China: The impact of labor market distortions," China Economic Review, Elsevier, vol. 13(2-3), pages 197-212.
    14. Cervero, Robert & Kang, Chang Deok, 2011. "Bus rapid transit impacts on land uses and land values in Seoul, Korea," Transport Policy, Elsevier, vol. 18(1), pages 102-116, January.
    15. Wang, Lei & Yuan, Feng & Duan, Xuejun, 2018. "How high-speed rail service development influenced commercial land market dynamics: A case study of Jiangsu province, China," Journal of Transport Geography, Elsevier, vol. 72(C), pages 248-257.
    16. Tabuchi, Takatoshi, 1998. "Urban Agglomeration and Dispersion: A Synthesis of Alonso and Krugman," Journal of Urban Economics, Elsevier, vol. 44(3), pages 333-351, November.
    17. J. Paul Elhorst, 2014. "Matlab Software for Spatial Panels," International Regional Science Review, , vol. 37(3), pages 389-405, July.
    18. Shujie Yao & Fan Zhang & Feng Wang & Jinghua Ou, 2019. "Regional economic growth and the role of high-speed rail in China," Applied Economics, Taylor & Francis Journals, vol. 51(32), pages 3465-3479, July.
    19. Shao, Shuai & Tian, Zhihua & Yang, Lili, 2017. "High speed rail and urban service industry agglomeration: Evidence from China's Yangtze River Delta region," Journal of Transport Geography, Elsevier, vol. 64(C), pages 174-183.
    20. 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).
    21. Wang, Chao & Lim, Ming K. & Zhang, Xinyi & Zhao, Longfeng & Lee, Paul Tae-Woo, 2020. "Railway and road infrastructure in the Belt and Road Initiative countries: Estimating the impact of transport infrastructure on economic growth," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 288-307.
    22. Chen, Zhenhua & Haynes, Kingsley E., 2017. "Impact of high-speed rail on regional economic disparity in China," Journal of Transport Geography, Elsevier, vol. 65(C), pages 80-91.
    23. Song, Malin & Ma, Xiaowei & Shang, Yuping & Zhao, Xin, 2020. "Influences of land resource assets on economic growth and fluctuation in China," Resources Policy, Elsevier, vol. 68(C).
    24. Liu, Tie-Ying & Su, Chi-Wei, 2021. "Is transportation improving urbanization in China?," Socio-Economic Planning Sciences, Elsevier, vol. 77(C).
    25. Zhang, Min & Yen, Barbara T.H., 2020. "The impact of Bus Rapid Transit (BRT) on land and property values: A meta-analysis," Land Use Policy, Elsevier, vol. 96(C).
    26. Lin, Yatang, 2017. "Travel costs and urban specialization patterns: Evidence from China’s high speed railway system," Journal of Urban Economics, Elsevier, vol. 98(C), pages 98-123.
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