IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i5p1100-d1151872.html
   My bibliography  Save this article

How Does New Energy Demonstration City Policy Promote Urban Land Use Efficiency in China? The Mediating Effect of Industrial Structure

Author

Listed:
  • Mengcheng Wang

    (School of Geographic and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Nana Lin

    (School of Geographic and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Youming Dong

    (School of Geographic and Ocean Science, Nanjing University, Nanjing 210023, China)

  • Yifeng Tang

    (College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

As an effective measure to solve the dilemma of urban energy consumption and economic development, the new energy demonstration city ( NEDC ) policy in China could greatly promote the development of the new energy industry and urban economy. This study aims to explore how the NEDC policy effectively promotes the growth of urban land use efficiency ( ULUE ), an essential indicator of economic development, through the urban industrial structure. Based on the panel data of 285 Chinese cities during 2003–2019, this study took the NEDC policy as a quasi-natural experiment and employed the PSM-DID method and the mediating effect model to objectively evaluate its policy effects. We found that the NEDC policy could significantly promote the growth of the ULUE . Specifically, the ULUE has been significantly improved by 17.0%. The NEDC policy could also promote the ULUE indirectly through the mediating effect of industrial structure advancement ( ISA ), but the mediating effect of industrial structure rationalization ( ISR ) was not significant. Furthermore, the promotional effect of the NEDC policy on the ULUE has regional heterogeneity. Compared with eastern cities and high-innovation cities, central and western cities and medium-innovation and low-innovation cities can obtain much higher promotion effects. This study may provide some policy inspiration for policymakers to support low-corban and sustainable economic development and urban land use.

Suggested Citation

  • Mengcheng Wang & Nana Lin & Youming Dong & Yifeng Tang, 2023. "How Does New Energy Demonstration City Policy Promote Urban Land Use Efficiency in China? The Mediating Effect of Industrial Structure," Land, MDPI, vol. 12(5), pages 1-21, May.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:5:p:1100-:d:1151872
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/5/1100/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/5/1100/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xie, Hualin & Chen, Qianru & Lu, Fucai & Wu, Qing & Wang, Wei, 2018. "Spatial-temporal disparities, saving potential and influential factors of industrial land use efficiency: A case study in urban agglomeration in the middle reaches of the Yangtze River," Land Use Policy, Elsevier, vol. 75(C), pages 518-529.
    2. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    3. Zhu, Xinhua & Li, Yan & Zhang, Peifeng & Wei, Yigang & Zheng, Xuyang & Xie, Lingling, 2019. "Temporal–spatial characteristics of urban land use efficiency of China’s 35mega cities based on DEA: Decomposing technology and scale efficiency," Land Use Policy, Elsevier, vol. 88(C).
    4. Liu, Shuchang & Xiao, Wu & Li, Linlin & Ye, Yanmei & Song, Xiaoli, 2020. "Urban land use efficiency and improvement potential in China: A stochastic frontier analysis," Land Use Policy, Elsevier, vol. 99(C).
    5. Koroso, Nesru H. & Zevenbergen, Jaap A. & Lengoiboni, Monica, 2020. "Urban land use efficiency in Ethiopia: An assessment of urban land use sustainability in Addis Ababa," Land Use Policy, Elsevier, vol. 99(C).
    6. Thorsten Beck & Ross Levine & Alexey Levkov, 2010. "Big Bad Banks? The Winners and Losers from Bank Deregulation in the United States," Journal of Finance, American Finance Association, vol. 65(5), pages 1637-1667, October.
    7. 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.
    8. Proque, Andressa Lemes & dos Santos, Gervásio Ferreira & Betarelli Junior, Admir Antonio & Larson, William D., 2020. "Effects of land use and transportation policies on the spatial distribution of urban energy consumption in Brazil," Energy Economics, Elsevier, vol. 90(C).
    9. Ning, Lutao & Wang, Fan & Li, Jian, 2016. "Urban innovation, regional externalities of foreign direct investment and industrial agglomeration: Evidence from Chinese cities," Research Policy, Elsevier, vol. 45(4), pages 830-843.
    10. Tan, Yongxian & Tian, Xuan & Zhang, Xinde & Zhao, Hailong, 2020. "The real effect of partial privatization on corporate innovation: Evidence from China's split share structure reform," Journal of Corporate Finance, Elsevier, vol. 64(C).
    11. 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).
    12. Dong, Liang & Fujita, Tsuyoshi & Zhang, Hui & Dai, Ming & Fujii, Minoru & Ohnishi, Satoshi & Geng, Yong & Liu, Zhu, 2013. "Promoting low-carbon city through industrial symbiosis: A case in China by applying HPIMO model," Energy Policy, Elsevier, vol. 61(C), pages 864-873.
    13. Liang-jun Long, 2021. "Eco-efficiency and effectiveness evaluation toward sustainable urban development in China: a super-efficiency SBM–DEA with undesirable outputs," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14982-14997, October.
    14. Lu, Xinhai & Chen, Danling & Kuang, Bing & Zhang, Chaozheng & Cheng, Chen, 2020. "Is high-tech zone a policy trap or a growth drive? Insights from the perspective of urban land use efficiency," Land Use Policy, Elsevier, vol. 95(C).
    15. Xinhai Lu & Mengcheng Wang & Yifeng Tang, 2021. "The Spatial Changes of Transportation Infrastructure and Its Threshold Effects on Urban Land Use Efficiency: Evidence from China," Land, MDPI, vol. 10(4), pages 1-15, March.
    16. Nesta, Lionel & Vona, Francesco & Nicolli, Francesco, 2014. "Environmental policies, competition and innovation in renewable energy," Journal of Environmental Economics and Management, Elsevier, vol. 67(3), pages 396-411.
    17. 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.
    18. Lu, Xin-hai & Jiang, Xu & Gong, Meng-qi, 2020. "How land transfer marketization influence on green total factor productivity from the approach of industrial structure? Evidence from China," Land Use Policy, Elsevier, vol. 95(C).
    19. Chun-Chung Au & J. Vernon Henderson, 2006. "Are Chinese Cities Too Small?," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 73(3), pages 549-576.
    20. Wang, Qiao & Yi, Hongtao, 2021. "New energy demonstration program and China's urban green economic growth: Do regional characteristics make a difference?," Energy Policy, Elsevier, vol. 151(C).
    21. Song, Qijiao & Qin, Ming & Wang, Ruichen & Qi, Ye, 2020. "How does the nested structure affect policy innovation?: Empirical research on China's low carbon pilot cities," Energy Policy, Elsevier, vol. 144(C).
    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. Xiang Li & Jiang Zhu & Tao Liu & Xiangdong Yin & Jiangchun Yao & Hao Jiang & Bing Bu & Jianlong Yan & Yixuan Li & Zhangcheng Chen, 2023. "Quota and Space Allocations of New Urban Land Supported by Urban Growth Simulations: A Case Study of Guangzhou City, China," Land, MDPI, vol. 12(6), pages 1-21, June.

    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. Yin Ma & Minrui Zheng & Xinqi Zheng & Yi Huang & Feng Xu & Xiaoli Wang & Jiantao Liu & Yongqiang Lv & Wenchao Liu, 2023. "Land Use Efficiency Assessment under Sustainable Development Goals: A Systematic Review," Land, MDPI, vol. 12(4), pages 1-21, April.
    2. 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.
    3. Yue Zhou & Yi Chen & Yi Hu, 2021. "Assessing Efficiency of Urban Land Utilisation under Environmental Constraints in Yangtze River Delta, China," IJERPH, MDPI, vol. 18(23), pages 1-18, November.
    4. Zhangsheng Liu & Liuqingqing Yang & Liqin Fan, 2021. "Induced Effect of Environmental Regulation on Green Innovation: Evidence from the Increasing-Block Pricing Scheme," IJERPH, MDPI, vol. 18(5), pages 1-15, March.
    5. Lisha Pan & Hangang Hu & Xin Jing & Yang Chen & Guan Li & Zhongguo Xu & Yuefei Zhuo & Xueqi Wang, 2022. "The Impacts of Regional Cooperation on Urban Land-Use Efficiency: Evidence from the Yangtze River Delta, China," Land, MDPI, vol. 11(6), pages 1-16, June.
    6. Hao Su & Shuo Yang, 2022. "Spatio-Temporal Urban Land Green Use Efficiency under Carbon Emission Constraints in the Yellow River Basin, China," IJERPH, MDPI, vol. 19(19), pages 1-28, October.
    7. Guo, Qingbin & Zhong, Jinrong, 2022. "The effect of urban innovation performance of smart city construction policies: Evaluate by using a multiple period difference-in-differences model," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    8. Mengchao Yao & Yihua Zhang, 2021. "Evaluation and Optimization of Urban Land-Use Efficiency: A Case Study in Sichuan Province of China," Sustainability, MDPI, vol. 13(4), pages 1-22, February.
    9. Bing Kuang & Jinjin Liu & Xiangyu Fan, 2022. "Has China’s Low-Carbon City Construction Enhanced the Green Utilization Efficiency of Urban Land?," IJERPH, MDPI, vol. 19(16), pages 1-20, August.
    10. Rongtian Zhang & Jianfei Lu, 2022. "Spatial–Temporal Pattern and Convergence Characteristics of Provincial Urban Land Use Efficiency under Environmental Constraints in China," IJERPH, MDPI, vol. 19(17), pages 1-15, August.
    11. Chengzhen Song & Qingfang Liu & Jinping Song & Zhengyun Jiang & Zhilin Lu & Yueying Chen, 2022. "Land Use Efficiency in the Yellow River Basin in the Background of China’s Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors," Land, MDPI, vol. 11(12), pages 1-22, December.
    12. Jingxin, Gao & Jinbo, Song & Lufang, Wu, 2022. "A new methodology to measure the urban construction land-use efficiency based on the two-stage DEA model," Land Use Policy, Elsevier, vol. 112(C).
    13. Wang, Qiao & Yi, Hongtao, 2021. "New energy demonstration program and China's urban green economic growth: Do regional characteristics make a difference?," Energy Policy, Elsevier, vol. 151(C).
    14. 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.
    15. Xufeng Cui & Sisi Huang & Cuicui Liu & Tingting Zhou & Ling Shan & Fengyuan Zhang & Min Chen & Fei Li & Walter T. de Vries, 2021. "Applying SBM-GPA Model to Explore Urban Land Use Efficiency Considering Ecological Development in China," Land, MDPI, vol. 10(9), pages 1-15, August.
    16. Ye Tian & Jiangfeng Li, 2023. "Improvement Pathways for Urban Land Use Efficiency in the Beijing-Tianjin-Hebei Urban Agglomeration at the County Level: A Context-Dependent DEA Based on the Closest Target," IJERPH, MDPI, vol. 20(5), pages 1-22, March.
    17. Huifang Cheng & Ting Yu & Hao Zhang & Kaifeng Duan & Jianing Zhu, 2022. "Dynamic Estimation of Urban Land Use Efficiency and Sustainability Analysis in China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
    18. Xufeng Cui & Sheng Yang & Guanghong Zhang & Bin Liang & Fei Li, 2020. "An Exploration of a Synthetic Construction Land Use Quality Evaluation Based on Economic-Social-Ecological Coupling Perspective: A Case Study in Major Chinese Cities," IJERPH, MDPI, vol. 17(10), pages 1-16, May.
    19. Fabio Antoniou & Roland Strausz, 2014. "The Effectiveness of Taxation and Feed-in Tariffs," CESifo Working Paper Series 4788, CESifo.
    20. Hille, Erik & Althammer, Wilhelm & Diederich, Henning, 2020. "Environmental regulation and innovation in renewable energy technologies: Does the policy instrument matter?," Technological Forecasting and Social Change, Elsevier, vol. 153(C).

    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:12:y:2023:i:5:p:1100-:d:1151872. 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.