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Spatial impacts of high speed rail on land value change

In: High Speed Rail and China’s New Economic Geography

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Abstract

Chapter 2 evaluates the spatial impacts of China’s HSR on urban transformation with a focus on land value. The land value change in the process of HSR new town development is evaluated empirically using a spatial difference-in-differences model. The assessment is based on micro -level land transaction data with 629,741 records for the period 2007–15. The research finding shows that HSR plays a significant role in facilitating urban transformation in China. The development of HSR is associated with a 3–13 percent increase in land value, ceteris paribus, but the impacts are found to vary considerably by type of city, land and the specific location within a city. Overall, the study provides evidence and implications for policy makers to improve decision making on land policy reforms and future infrastructure development through an understanding of the effectiveness of HSR on land value change.

Suggested Citation

  • ., 2019. "Spatial impacts of high speed rail on land value change," Chapters, in: High Speed Rail and China’s New Economic Geography, chapter 2, pages 39-79, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:17024_2
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    Citations

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    Cited by:

    1. Mohsen Momenitabar & Zhila Dehdari Ebrahimi & Mohammad Arani, 2020. "A Systematic and Analytical Review of the Socioeconomic and Environmental Impact of the Deployed High-Speed Rail (HSR) Systems on the World," Papers 2003.04452, arXiv.org, revised Mar 2020.
    2. Martins, Thales G.V. & Reis, Geraldo G. & Reis, Maria G.F. & Telles, Lucas A.A. & Lage, Mayara R. & Mendes, Gleidson G.C. & Pinto, Dayane L. & Castro, Nero L.M. & Lorenzon, Alexandre S. & Silva, Ricar, 2020. "Potential planting areas for native tree species in minas gerais state, Brazil, based on environmental variables and wood demand," Ecological Modelling, Elsevier, vol. 432(C).
    3. Paköz, Muhammed Ziya & Yaratgan, Dilara & Şahin, Aydan, 2022. "Re-mapping urban vitality through Jane Jacobs’ criteria: The case of Kayseri, Turkey," Land Use Policy, Elsevier, vol. 114(C).
    4. Karunanayake, N. & Aimmanee, P. & Lohitvisate, W. & Makhanov, S.S., 2020. "Particle method for segmentation of breast tumors in ultrasound images," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 170(C), pages 257-284.
    5. Obermeier, Tim, 2022. "Individual Welfare Analysis: What's the Role of Intra-Family Preference Heterogeneity?," VfS Annual Conference 2022 (Basel): Big Data in Economics 264101, Verein für Socialpolitik / German Economic Association.

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