IDEAS home Printed from https://ideas.repec.org/a/bla/chinae/v31y2023i5p161-189.html
   My bibliography  Save this article

Impact of Chinese Local Government‐led Construction Land Supply Strategies on Urban Innovation and its Spatiotemporal Differences

Author

Listed:
  • Jian Wang
  • Shangui Peng
  • Siqi Yan
  • Guancheng Guo
  • Qun Wu

Abstract

This study constructs a theoretical framework to analyze the impact of local government‐led construction land supply (LGCLS) strategies on urban innovation. It uses data related to 265 cities in China from 2005 to 2019 for empirical analysis. Its conclusions are as follows. For development stage differences, the impact of LGCLS strategies on urban innovation exhibited an inverted U shape with economic growth. The inflection point occurred when the per capita GDP equaled approximately RMB23,101 in 2008. For regional differences, the inflection point in eastern China is higher and earlier than that in central and western China; before the inflection point, the positive influence was more obvious in the central and western regions, whereas after the inflection point, the negative influence was more obvious in the eastern region. For the eastern Yangtze River Delta urban agglomerations and the northwestern resource‐based urban agglomerations with relatively high per capita GDP, the negative impact of LGCLS strategies on urban innovation occurred earlier and showed spatial agglomeration characteristics.

Suggested Citation

  • Jian Wang & Shangui Peng & Siqi Yan & Guancheng Guo & Qun Wu, 2023. "Impact of Chinese Local Government‐led Construction Land Supply Strategies on Urban Innovation and its Spatiotemporal Differences," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(5), pages 161-189, September.
  • Handle: RePEc:bla:chinae:v:31:y:2023:i:5:p:161-189
    DOI: 10.1111/cwe.12498
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/cwe.12498
    Download Restriction: no

    File URL: https://libkey.io/10.1111/cwe.12498?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Hansen, Bruce E., 1999. "Threshold effects in non-dynamic panels: Estimation, testing, and inference," Journal of Econometrics, Elsevier, vol. 93(2), pages 345-368, December.
    2. Daron Acemoglu & Jacob Moscona & James A. Robinson, 2016. "State Capacity and American Technology: Evidence from the 19th Century," NBER Working Papers 21932, National Bureau of Economic Research, Inc.
    3. Wang, Ren & Hou, Jie, 2021. "Land finance, land attracting investment and housing price fluctuations in China," International Review of Economics & Finance, Elsevier, vol. 72(C), pages 690-699.
    4. Albert Saiz, 2010. "The Geographic Determinants of Housing Supply," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1253-1296.
    5. Guo, Di & Guo, Yan & Jiang, Kun, 2016. "Government-subsidized R&D and firm innovation: Evidence from China," Research Policy, Elsevier, vol. 45(6), pages 1129-1144.
    6. Wang, Jiating & Cai, Siyuan, 2020. "The construction of high-speed railway and urban innovation capacity: Based on the perspective of knowledge Spillover," China Economic Review, Elsevier, vol. 63(C).
    7. Wenbin Huang, 2022. "Government Land Regulations and Housing Supply Elasticity in Urban China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 30(4), pages 122-148, July.
    8. Tian, Yanping & Song, Wenjing & Liu, Min, 2021. "Assessment of how environmental policy affects urban innovation: Evidence from China’s low-carbon pilot cities program," Economic Analysis and Policy, Elsevier, vol. 71(C), pages 41-56.
    9. Zhou, Lin & Tian, Li & Cao, Yandong & Yang, Linchuan, 2021. "Industrial land supply at different technological intensities and its contribution to economic growth in China: A case study of the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 101(C).
    10. Eduardo Goncalves & Eduardo Almeida, 2009. "Innovation and Spatial Knowledge Spillovers: Evidence from Brazilian Patent Data," Regional Studies, Taylor & Francis Journals, vol. 43(4), pages 513-528.
    11. Wang, Jian & Wu, Qun & Yan, Siqi & Guo, Guancheng & Peng, Shangui, 2020. "China’s local governments breaking the land use planning quota: A strategic interaction perspective," Land Use Policy, Elsevier, vol. 92(C).
    12. Tao, Jin & Ho, Chun-Yu & Luo, Shougui & Sheng, Yue, 2019. "Agglomeration economies in creative industries," Regional Science and Urban Economics, Elsevier, vol. 77(C), pages 141-154.
    13. Daron Acemoglu & Jacob Moscona & James A. Robinson, 2016. "State Capacity and American Technology: Evidence from the Nineteenth Century," American Economic Review, American Economic Association, vol. 106(5), pages 61-67, May.
    14. Chen, Ting & Kung, J.K.-S., 2016. "Do land revenue windfalls create a political resource curse? Evidence from China," Journal of Development Economics, Elsevier, vol. 123(C), pages 86-106.
    15. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Siyu Han & Mengcheng Wang & Qi Liu & Renyang Wang & Guoliang Ou & Lu Zhang, 2022. "The Influence of Land Disposition Derived from Land Finance on Urban Innovation in China: Mechanism Discussion and Empirical Evidence," IJERPH, MDPI, vol. 19(6), pages 1-23, March.
    2. Wang, Xu & Zhang, Xiaobo & Xie, Zhuan & Huang, Yiping, 2016. "Roads to innovation: Firm-level evidence from China:," IFPRI discussion papers 1542, International Food Policy Research Institute (IFPRI).
    3. Yu, Liangliang & Cai, Yinying, 2021. "Do rising housing prices restrict urban innovation vitality? Evidence from 288 cities in China," Economic Analysis and Policy, Elsevier, vol. 72(C), pages 276-288.
    4. Stefano Magrini & Alessandro Spiganti, 2024. "A tale of two cities: Communication, innovation, and divergence," Economic Inquiry, Western Economic Association International, vol. 62(1), pages 390-413, January.
    5. Gyourko, Joseph & Shen, Yang & Wu, Jing & Zhang, Rongjie, 2022. "Land finance in China: Analysis and review," China Economic Review, Elsevier, vol. 76(C).
    6. Wang, Xu & Xie, Zhuan & Zhang, Xiaobo & Huang, Yiping, 2018. "Roads to innovation: Firm-level evidence from People's Republic of China (PRC)," China Economic Review, Elsevier, vol. 49(C), pages 154-170.
    7. Feng Han & Min Huang, 2022. "Land Misallocation and Carbon Emissions: Evidence from China," Land, MDPI, vol. 11(8), pages 1-30, July.
    8. Hu, Yefei & Liu, Dayong, 2022. "Government as a non-financial participant in innovation: How standardization led by government promotes regional innovation performance in China," Technovation, Elsevier, vol. 114(C).
    9. Yang, Xuehui & Zhang, Huirong & Li, Yan, 2022. "High-speed railway, factor flow and enterprise innovation efficiency: An empirical analysis on micro data," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    10. Xiaoying Ju & Huizhao Li & Peng Yao & Jianxu Liu & Fei Chen & Songsak Sriboonchitta, 2022. "Analysis of the Impact of Industrial Land Price Distortion on Overcapacity in the Textile Industry and Its Sustainability in China," Sustainability, MDPI, vol. 14(8), pages 1-17, April.
    11. Yu Hao & Kevin Zhengcheng Liu, 2020. "Taxation, fiscal capacity, and credible commitment in eighteenth‐century China: the effects of the formalization and centralization of informal surtaxes," Economic History Review, Economic History Society, vol. 73(4), pages 914-939, November.
    12. Zhipeng Tang & Ziao Mei & Jialing Zou, 2021. "Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?," Energies, MDPI, vol. 14(15), pages 1-18, July.
    13. Zhou, Yixiao & Tyers, Rod, 2019. "Automation and inequality in China," China Economic Review, Elsevier, vol. 58(C).
    14. Leopoldo Fergusson & Horacio Larreguy & Juan Felipe Riaño, 2022. "Political Competition and State Capacity: Evidence from a Land Allocation Program in Mexico," The Economic Journal, Royal Economic Society, vol. 132(648), pages 2815-2834.
    15. Shruti Rajagopalan & Alex Tabarrok, 2021. "Simple rules for the developing world," European Journal of Law and Economics, Springer, vol. 52(2), pages 341-362, December.
    16. Christoph Kronenberg, 2021. "New(spaper) evidence of a reduction in suicide mentions during the 19th century US gold rush," Health Economics, John Wiley & Sons, Ltd., vol. 30(10), pages 2582-2594, September.
    17. Badi H. Baltagi & Ying Deng & Jing Li & Zhenlin Yang, 2023. "Cities in a pandemic: Evidence from China," Journal of Regional Science, Wiley Blackwell, vol. 63(2), pages 379-408, March.
    18. Martin Fiszbein, 2017. "Agricultural Diversity, Structural Change and Long-run Development: Evidence from the U.S," NBER Working Papers 23183, National Bureau of Economic Research, Inc.
    19. Yue Lu & Siying Yang & Jian Li, 2022. "The influence of high-speed rails on urban innovation and the underlying mechanism," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-20, March.
    20. Acemoglu, Daron & Robinson, James A. & Torvik, Ragnar, 2020. "The political agenda effect and state centralization," Journal of Comparative Economics, Elsevier, vol. 48(4), pages 749-778.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:chinae:v:31:y:2023:i:5:p:161-189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/iwepacn.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.