IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v87y2019ics0264837719302649.html
   My bibliography  Save this article

How did industrial land supply respond to transitions in state strategy? An analysis of prefecture-level cities in China from 2007 to 2016

Author

Listed:
  • Zhou, Lin
  • Tian, Li
  • Gao, Yuan
  • Ling, Yingkai
  • Fan, Chenjing
  • Hou, Deyi
  • Shen, Tiyan
  • Zhou, Wentong

Abstract

Industrial land supply has long been a powerful tool for local economic growth and government competition in China. Based on Chinese prefecture-level cities’ panel data from 2007 to 2016, our study investigates how industrial land supply responded to two key transitions in state strategy: the “Fiscal Stimulus Package” of 2008 and the “New-type Urbanization” and “Innovation Driven Development” of 2012. The results show that: (1) a response bifurcation of cities occurred in the four economic-geographical regions (eastern, central, western, and northeastern). The response in eastern and central regions was led by urban agglomerations, with neighbors mimicking one another. In the western region, most of the cities demonstrated an active and strong response to the two transitions. Nonetheless, it showed the characteristic of siphon effect, and local governments interacted in a zero-sum game. Meanwhile, the response of the northeastern region was not sensitive to state strategic transitions, and there was no strategic interaction among its cities. (2) We find various responses of cities at different levels of socioeconomic development. In traditional industrial land (TIL) supply, cities with higher socioeconomic levels were more adaptive to state strategic transitions. In high-tech industrial land (HIL) supply, most cities paid more attention to attracting investment in high-tech industries during the second transitional period. Among them, the smaller the economic strength of the city, the more willing it was to supply more land for high-tech enterprises. The paper concludes with implications for state strategies and regional industrial land supply policies.

Suggested Citation

  • Zhou, Lin & Tian, Li & Gao, Yuan & Ling, Yingkai & Fan, Chenjing & Hou, Deyi & Shen, Tiyan & Zhou, Wentong, 2019. "How did industrial land supply respond to transitions in state strategy? An analysis of prefecture-level cities in China from 2007 to 2016," Land Use Policy, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:lauspo:v:87:y:2019:i:c:s0264837719302649
    DOI: 10.1016/j.landusepol.2019.05.028
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719302649
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2019.05.028?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Xiafei Chen & Zhiying Liu & Chaoliang Ma, 2017. "Chinese innovation-driving factors: regional structure, innovation effect, and economic development—empirical research based on panel data," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(1), pages 43-68, July.
    2. Liu, Yong & Fan, Peilei & Yue, Wenze & Song, Yan, 2018. "Impacts of land finance on urban sprawl in China: The case of Chongqing," Land Use Policy, Elsevier, vol. 72(C), pages 420-432.
    3. Du, Jinfeng & Peiser, Richard B., 2014. "Land supply, pricing and local governments' land hoarding in China," Regional Science and Urban Economics, Elsevier, vol. 48(C), pages 180-189.
    4. Jane Golley, 2002. "Regional patterns of industrial development during China’s economic transition," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 10(3), pages 761-801, November.
    5. Zhiming Li & Zhengxi Fan & Shiguang Shen, 2018. "Urban Green Space Suitability Evaluation Based on the AHP-CV Combined Weight Method: A Case Study of Fuping County, China," Sustainability, MDPI, vol. 10(8), pages 1-15, July.
    6. Jieming Zhu, 1999. "Local Growth Coalition: The Context and Implications of China’s Gradualist Urban Land Reforms," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 23(3), pages 534-548, September.
    7. Thun, Eric, 2004. "Keeping Up with the Jones': Decentralization, Policy Imitation, and Industrial Development in China," World Development, Elsevier, vol. 32(8), pages 1289-1308, August.
    8. Paul Elhorst & Eelco Zandberg & Jakob De Haan, 2013. "The Impact of Interaction Effects among Neighbouring Countries on Financial Liberalization and Reform: A Dynamic Spatial Panel Data Approach," Spatial Economic Analysis, Taylor & Francis Journals, vol. 8(3), pages 293-313, September.
    9. Zhiguo Li & Xiaorong Zhang, 2014. "Evaluating the Effectiveness and Efficiency of the Four-trillion Yuan Stimulus Package: Evidence from Stock Market Returns of Chinese Listed A Shares," Global Economic Review, Taylor & Francis Journals, vol. 43(4), pages 381-407, December.
    10. Li Fang & Chuanhao Tian & Xiaohong Yin & Yan Song, 2018. "Political Cycles and the Mix of Industrial and Residential Land Leasing," Sustainability, MDPI, vol. 10(9), pages 1-24, August.
    11. repec:bla:etrans:v:10:y:2002-11:i:3:p:761-801 is not listed on IDEAS
    12. Gary Jefferson & Thomas Rawski & Yifan Zhang, 2008. "Productivity growth and convergence across China's industrial economy," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 6(2), pages 121-140.
    13. Liang, Wenquan & Lu, Ming & Zhang, Hang, 2016. "Housing prices raise wages: Estimating the unexpected effects of land supply regulation in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 70-81.
    14. Pan, Jiun-Nan & Huang, Jr-Tsung & Chiang, Tsun-Feng, 2015. "Empirical study of the local government deficit, land finance and real estate markets in China," China Economic Review, Elsevier, vol. 32(C), pages 57-67.
    15. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Kunqiu & Long, Hualou & Liao, Liuwen & Tu, Shuangshuang & Li, Tingting, 2020. "Land use transitions and urban-rural integrated development: Theoretical framework and China’s evidence," Land Use Policy, Elsevier, vol. 92(C).
    2. Jiang, Ronghao & Lin, George C.S., 2021. "Placing China’s land marketization: The state, market, and the changing geography of land use in Chinese cities," Land Use Policy, Elsevier, vol. 103(C).
    3. Yang, Linchuan & Chau, K.W. & Wang, Xu, 2019. "Are low-end housing purchasers more willing to pay for access to basic public services? Evidence from China," Research in Transportation Economics, Elsevier, vol. 76(C).
    4. 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).
    5. Wenfang Pu & Anlu Zhang, 2021. "Can Market Reforms Curb the Expansion of Industrial Land?—Based on the Panel Data Analysis of Five National-Level Urban Agglomerations," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    6. Lee, Jongpyo & Jung, Sanghoon, 2020. "Industrial land use planning and the growth of knowledge industry: Location pattern of knowledge-intensive services and their determinants in the Seoul metropolitan area," Land Use Policy, Elsevier, vol. 95(C).
    7. Yu, Binbin & Zhou, Xinru, 2023. "Urban administrative hierarchy and urban land use efficiency: Evidence from Chinese cities," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 178-195.
    8. Yang, Zhijiu & Ding, Hai & Zhu, Wenbo, 2024. "Environmental regulation and land resource allocation in China: Empirical evidence from micro-level land transaction data," Land Use Policy, Elsevier, vol. 140(C).
    9. Qian Wang & Yanan Wang & Wei Chen & Xue Zhou & Minjuan Zhao, 2021. "Factors affecting industrial land use efficiency in China: analysis from government and land market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10973-10993, July.
    10. Giuseppe Ricciardo Lamonica & Gloria Polinesi & Luca Salvati, 2022. "Sprawl or Segregation? Local Fertility as a Proxy of Socio-spatial Disparities Under Sequential Economic Downturns," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 164(3), pages 1129-1160, December.
    11. Tian, Yingying & Zhou, Dingyang & Jiang, Guanghui, 2021. "A new quality management system of admittance indicators to improve industrial land use efficiency in the Beijing−Tianjin−Hebei region," Land Use Policy, Elsevier, vol. 107(C).
    12. Xiaojie Wang & Yi Duan & Pengcheng Liu & Guixin Han, 2020. "The Influence of Housing Investment on Urban Innovation: An Empirical Analysis Based on City-Level Panel Data in China," Sustainability, MDPI, vol. 12(7), pages 1-15, April.
    13. Yan Liu & Linchuan Yang & Kwong Wing Chau, 2020. "Impacts of Tourism Demand on Retail Property Prices in a Shopping Destination," Sustainability, MDPI, vol. 12(4), pages 1-14, February.
    14. Song, Chenchen & Guo, Zhiling & Liu, Zhengguang & Hongyun, Zhang & Liu, Ran & Zhang, Haoran, 2024. "Application of photovoltaics on different types of land in China: Opportunities, status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    15. 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).

    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. Shenghua Lu & Hui Wang, 2022. "Limited Decentralization: Understand China’s Land System from the Perspective of Central-Local Relation," Land, MDPI, vol. 11(4), pages 1-15, April.
    2. 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).
    3. Mengkai Chen & Ting Chen & Debao Ruan & Xiaowei Wang, 2023. "Land Finance, Real Estate Market, and Local Government Debt Risk: Evidence from China," Land, MDPI, vol. 12(8), pages 1-18, August.
    4. Gyourko, Joseph & Shen, Yang & Wu, Jing & Zhang, Rongjie, 2022. "Land finance in China: Analysis and review," China Economic Review, Elsevier, vol. 76(C).
    5. Wang, Di & Ren, Cairu & Zhou, Tao, 2021. "Understanding the impact of land finance on industrial structure change in China: Insights from a spatial econometric analysis," Land Use Policy, Elsevier, vol. 103(C).
    6. Peng Wang & Zinan Shao & Jian Wang & Qun Wu, 2021. "The impact of land finance on urban land use efficiency: A panel threshold model for Chinese provinces," Growth and Change, Wiley Blackwell, vol. 52(1), pages 310-331, March.
    7. Han, Wenjing & Zhang, Xiaoling & Zheng, Xian, 2020. "Land use regulation and urban land value: Evidence from China," Land Use Policy, Elsevier, vol. 92(C).
    8. Xinhua Zhu & Yigang Wei & Yani Lai & Yan Li & Sujuan Zhong & Chun Dai, 2019. "Empirical Analysis of the Driving Factors of China’s ‘Land Finance’ Mechanism Using Soft Budget Constraint Theory and the PLS-SEM Model," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
    9. Wang, Yuan & Hui, Eddie Chi-man, 2017. "Are local governments maximizing land revenue? Evidence from China," China Economic Review, Elsevier, vol. 43(C), pages 196-215.
    10. Xiaotong Li & Ying Li & Jinlan Ni & Jia Yuan, 2022. "Master development, land appreciation, and government finance: Evidence from the Disney project in Shanghai," Papers in Regional Science, Wiley Blackwell, vol. 101(4), pages 1027-1046, August.
    11. Pi‐Han Tsai & Chien‐Yu Huang & Tsun‐Feng Chiang, 2020. "Fiscal Expenditure And Industrial Land Price In China: Theory And Evidence," Contemporary Economic Policy, Western Economic Association International, vol. 38(4), pages 593-606, October.
    12. Cheng, Jing, 2022. "Analysis of the factors influencing industrial land leasing in Beijing of China based on the district-level data," Land Use Policy, Elsevier, vol. 122(C).
    13. Tong, De & Wang, Zhenguo & Hong, Yu Hung & Liu, Chengming, 2019. "Assessing the possibility of charging for public leasehold renewal in China," Land Use Policy, Elsevier, vol. 88(C).
    14. Xintong Yang & Yu Zhang & Qi Li, 2021. "The role of price spillovers: what is different in China," Empirical Economics, Springer, vol. 60(1), pages 459-485, January.
    15. Li, L. & Bao, Helen X.H. & Robinson, Guy M., 2020. "The return of state control and its impact on land market efficiency in urban China," Land Use Policy, Elsevier, vol. 99(C).
    16. Deininger, Klaus & Jin, Songqing & Liu, Shouying & Xia, Fang, 2015. "Household-level impacts of property rights reform in peri-urban China: Evidence from the Chengdu National Experiment," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205753, Agricultural and Applied Economics Association.
    17. Deininger,Klaus W. & Jin,Songqing & Liu,Shouying & Xia,Fang, 2015. "Impact of property rights reform to support China?s rural-urban integration : household-level evidence from the Chengdu national experiment," Policy Research Working Paper Series 7388, The World Bank.
    18. Cheng, Jing, 2020. "Analyzing the factors influencing the choice of the government on leasing different types of land uses: Evidence from Shanghai of China," Land Use Policy, Elsevier, vol. 90(C).
    19. Zhiheng Yang & Chenxi Li & Yongheng Fang, 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China," Land, MDPI, vol. 9(1), pages 1-21, January.
    20. Qian Wang & Yanan Wang & Wei Chen & Xue Zhou & Minjuan Zhao, 2021. "Factors affecting industrial land use efficiency in China: analysis from government and land market," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(7), pages 10973-10993, July.

    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:eee:lauspo:v:87:y:2019:i:c:s0264837719302649. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.