IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v14y2025i5p1034-d1651986.html
   My bibliography  Save this article

How Do Innovation-Driven Policies Affect Urban Green Land Use Efficiency? Evidence from China’s Innovative City Pilot Policy

Author

Listed:
  • Xinfeng Zuo

    (School of Economics, Guangxi University, Nanning 530004, China)

  • Xiekui Zhang

    (School of Economics, Guangxi University, Nanning 530004, China)

Abstract

China has already joined the ranks of innovative nations. Accelerating technological innovation to lead a green transformation in land use is an urgent requirement for promoting ecological civilization and, in turn, driving high-quality economic development. This study examines urban data spanning from 2006 to 2021, focusing on cities classified at the prefecture level or above. Employing the Chinese Innovative City Pilot Policy (ICPP) as a quasi-natural experiment, this study utilizes a super-efficiency Slack-Based Measure (SBM) model that incorporates undesirable outputs to assess Green Land Use Efficiency (GLUE). Additionally, a multi-period Difference-in-Differences (DID) model, combined with a mediation effect model, is employed to evaluate the influence of innovation-driven policies on GLUE. The findings are as follows: (1) Although GLUE showed variability throughout the study period, it generally trended upwards, with significant improvements noted in the eastern regions and coastal city clusters. (2) Innovation-driven policies have effectively enhanced urban GLUE, a conclusion supported by extensive robustness tests. (3) The heterogeneity investigation indicates that the ICPP’s impact on GLUE is more significant in cities with advantageous geographic locations, increased environmental awareness, and strong market potential. (4) A mechanism analysis demonstrates that the ICPP positively influences GLUE by reducing urban sprawl and promoting the concentration of digital service industries. Based on these results, this study proposes policy recommendations aimed at refining innovation-driven approaches to improve urban GLUE. These recommendations are pivotal in promoting a green, low-carbon transformation in China’s economic and social development.

Suggested Citation

  • Xinfeng Zuo & Xiekui Zhang, 2025. "How Do Innovation-Driven Policies Affect Urban Green Land Use Efficiency? Evidence from China’s Innovative City Pilot Policy," Land, MDPI, vol. 14(5), pages 1-22, May.
  • Handle: RePEc:gam:jlands:v:14:y:2025:i:5:p:1034-:d:1651986
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/14/5/1034/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/14/5/1034/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Clément de Chaisemartin & Xavier D'Haultfœuille, 2020. "Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects," American Economic Review, American Economic Association, vol. 110(9), pages 2964-2996, September.
    2. Aiping Wang & Weifen Lin & Bei Liu & Hui Wang & Hong Xu, 2021. "Does Smart City Construction Improve the Green Utilization Efficiency of Urban Land?," Land, MDPI, vol. 10(6), pages 1-18, June.
    3. Jie Zhang & Tao Sun, 2024. "The Impact of Digital Finance on the Green Utilization Efficiency of Urban Land: Evidence from 281 Cities in China," Sustainability, MDPI, vol. 16(5), pages 1-17, February.
    4. Zeng, Juying & Ning, Zhenzhen & Lassala, Carlos & Ribeiro-Navarrete, Samuel, 2023. "Effect of innovative-city pilot policy on industry–university–research collaborative innovation," Journal of Business Research, Elsevier, vol. 162(C).
    5. Shuai Wang & Cunyi Yang & Zhenghui Li, 2021. "Spatio-Temporal Evolution Characteristics and Spatial Interaction Spillover Effects of New-Urbanization and Green Land Utilization Efficiency," Land, MDPI, vol. 10(10), pages 1-26, October.
    6. Kirill Borusyak & Xavier Jaravel & Jann Spiess, 2024. "Revisiting Event-Study Designs: Robust and Efficient Estimation," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 91(6), pages 3253-3285.
    7. Callaway, Brantly & Sant’Anna, Pedro H.C., 2021. "Difference-in-Differences with multiple time periods," Journal of Econometrics, Elsevier, vol. 225(2), pages 200-230.
    8. He, Sanwei & Yu, Shan & Li, Guangdong & Zhang, Junfeng, 2020. "Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities," Land Use Policy, Elsevier, vol. 95(C).
    9. Wang, Yi & Wang, Huiping, 2023. "Spatial spillover effect of urban sprawl on total factor energy ecological efficiency: Evidence from 272 cities in China," Energy, Elsevier, vol. 273(C).
    10. Goodman-Bacon, Andrew, 2021. "Difference-in-differences with variation in treatment timing," Journal of Econometrics, Elsevier, vol. 225(2), pages 254-277.
    11. Muniba & Baorong Yu, 2023. "Does Innovative City Pilot Policy Stimulate the Chinese Regional Innovation: An Application of DID Model," IJERPH, MDPI, vol. 20(2), pages 1-21, January.
    12. Tan, Shukui & Hu, Bixia & Kuang, Bing & Zhou, Min, 2021. "Regional differences and dynamic evolution of urban land green use efficiency within the Yangtze River Delta, China," Land Use Policy, Elsevier, vol. 106(C).
    13. Sun, Liyang & Abraham, Sarah, 2021. "Estimating dynamic treatment effects in event studies with heterogeneous treatment effects," Journal of Econometrics, Elsevier, vol. 225(2), pages 175-199.
    14. Yingkai Tang & Kun Wang & Xuanming Ji & He Xu & Yangqing Xiao, 2021. "Assessment and Spatial-Temporal Evolution Analysis of Urban Land Use Efficiency under Green Development Orientation: Case of the Yangtze River Delta Urban Agglomerations," Land, MDPI, vol. 10(7), pages 1-19, July.
    15. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    16. Fan, Hang & Li, Zhi & Duan, Yunjie & Wang, Boyu, 2025. "Incentive policy formulation for China's electric vehicle market: Navigating pathways to sustainable mobility with a green premium analytical model," Energy Policy, Elsevier, vol. 202(C).
    17. Guangya Zhou & Helian Xu & Chuanzeng Jiang & Shiqi Deng & Liming Chen & Zhi Zhang, 2024. "Has the Digital Economy Improved the Urban Land Green Use Efficiency? Evidence from the National Big Data Comprehensive Pilot Zone Policy," Land, MDPI, vol. 13(7), pages 1-25, June.
    18. 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.
    19. Lange, Steffen & Pohl, Johanna & Santarius, Tilman, 2020. "Digitalization and energy consumption. Does ICT reduce energy demand?," Ecological Economics, Elsevier, vol. 176(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. Coraggio, Luca & Pagano, Marco & Scognamiglio, Annalisa & Tåg, Joacim, 2025. "JAQ of all trades: Job mismatch, firm productivity and managerial quality," Journal of Financial Economics, Elsevier, vol. 164(C).
    2. Sophie Hatte & Jordan Loper & Thomas Taylor, 2025. "Connecting the Unconnected: Facebook Access and Female Political Representation in Sub-Saharan Africa," CERDI Working papers hal-05056150, HAL.
    3. Balia, S.; & Brau, R.; & Pau, S.;, 2025. "One plus one makes less than two? Consolidation policies and mortality in the Italian NHS," Health, Econometrics and Data Group (HEDG) Working Papers 25/02, HEDG, c/o Department of Economics, University of York.
    4. Qiu, Huanguang & Hong, Junqiao & Wang, Xiangrui & Filipski, Mateusz, 2024. "Home sweet home: Impacts of living conditions on worker migration with evidence from randomized resettlement in China," Journal of Economic Behavior & Organization, Elsevier, vol. 220(C), pages 558-583.
    5. Joop Age Harm Adema & Cevat Giray Aksoy & Panu Poutvaara, 2021. "Mobile Internet Access and the Desire to Emigrate," ifo Working Paper Series 365, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
    6. Rachel Scarfe & Daniel Schaefer & Tomasz Sulka, 2023. "The Incidence of Workplace Pensions: Evidence from the UK's Automatic Enrollment Mandate," Edinburgh School of Economics Discussion Paper Series 313, Edinburgh School of Economics, University of Edinburgh.
    7. Acosta, Miguel & Mueller, Andreas I. & Nakamura, Emi & Steinsson, Jón, 2023. "Macroeconomic Effects of UI Extensions at Short and Long Durations," IZA Discussion Papers 16400, Institute of Labor Economics (IZA).
    8. Fabre, Brice & Sangnier, Marc, 2025. "Where and why do politicians send pork? Evidence from central government transfers to French municipalities," Journal of Public Economics, Elsevier, vol. 241(C).
    9. Li, Pei & Lu, Yi & Peng, Lu & Wang, Jin, 2024. "Information, incentives, and environmental governance: Evidence from China’s ambient air quality standards," Journal of Environmental Economics and Management, Elsevier, vol. 128(C).
    10. Elisa Facchetti & Lorenzo Neri & Marco Ovidi, 2021. "Should you Meet The Parents? The impact of information on non-test score attributes on school choice," DISCE - Working Papers del Dipartimento di Economia e Finanza def113, Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE).
    11. Clarke, Dylan R. & Gold, Daniel E., 2024. "The effects of residential landlord–tenant laws: New evidence from Canadian reforms using census data," Journal of Urban Economics, Elsevier, vol. 140(C).
    12. Arold, W. Benjamin & Woessmann, Ludger & Zierow, Larissa, 2022. "Can Schools Change Religious Attitudes? Evidence from German State Reforms of Compulsory Religious Education," IZA Discussion Papers 14989, Institute of Labor Economics (IZA).
    13. Clément de Chaisemartin & Xavier D’Haultfœuille, 2023. "Two-way fixed effects and differences-in-differences with heterogeneous treatment effects: a survey," The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 1-30.
    14. Gruhl, Henri & Volkhausen, Nicolas & Pestel, Nico & aus dem Moore, Nils, 2022. "Air pollution and the housing market: Evidence from Germany's Low Emission Zones," Ruhr Economic Papers 977, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    15. Kyunghoon Ban & D'esir'e K'edagni, 2022. "Robust Difference-in-differences Models," Papers 2211.06710, arXiv.org, revised Aug 2023.
    16. Lennon, Conor & Maclean, Johanna Catherine & Teltser, Keith, 2025. "Ridesharing and substance use disorder treatment," Journal of Health Economics, Elsevier, vol. 99(C).
    17. Guillaume Gueguen & Claudia Senik, 2023. "Adopting telework: The causal impact of working from home on subjective well‐being," British Journal of Industrial Relations, London School of Economics, vol. 61(4), pages 832-868, December.
    18. Büchler, Simon & Lutz, Elena, 2024. "Making housing affordable? The local effects of relaxing land-use regulation," Journal of Urban Economics, Elsevier, vol. 143(C).
    19. Kamila Cygan-Rehm, 2022. "Lifetime Consequences of Lost Instructional Time in the Classroom: Evidence from Shortened School Years," CESifo Working Paper Series 9892, CESifo.
    20. Yuan Feng & Ying Li & Changfei Nie, 2023. "The Effect of Place-Based Policy on Urban Land Green Use Efficiency: Evidence from the Pilot Free-Trade Zone Establishment in China," Land, MDPI, vol. 12(3), pages 1-19, March.

    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:gam:jlands:v:14:y:2025:i:5:p:1034-:d:1651986. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.