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The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China

Author

Listed:
  • Jingbo Liu

    (Business School, Sichuan University, Chengdu 610064, China)

  • Haoyuan Feng

    (Shanghai Key Lab for Urban Ecological Processes and Eco-Restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China)

  • Kun Wang

    (Business School, Sichuan University, Chengdu 610064, China
    Department of High-Tech Business and Entrepreneurship, Faculty of Behavioural, Management & Social Sciences, University of Twente, 7522 NH Enschede, The Netherlands)

Abstract

Against the backdrop of severe global warming, the low-carbon city pilot policy, with carbon emission reduction as its main objective, is an important initiative for China to fulfil its international commitment to carbon emission reduction and promote a green and low-carbon development strategy. However, none of the literature has yet evaluated whether the pilot low-carbon city policy promotes urban land use efficiency as a policy effect. In view of this, this paper measures urban land use efficiency from a low-carbon perspective using a global reference super-efficiency SBM model based on data from 186 prefecture-level cities in China from 2005–2017, and subsequently constructs a difference-in-differences method to test the true impact of low-carbon city pilot policies on urban land use efficiency and carbon emissions, and uses a propensity score matching method to test its robustness. It is found that: (1) the average level of urban land use efficiency in China is low and on a downward trend; (2) overall, cities are predominantly low-efficiency cities, with only the high-efficiency cities in Guangdong Province showing spatial agglomeration; and (3) the low-carbon city pilot policy reduces carbon emissions while also negatively affecting urban land use efficiency. Accordingly, this paper puts forward corresponding policy recommendations.

Suggested Citation

  • Jingbo Liu & Haoyuan Feng & Kun Wang, 2022. "The Low-Carbon City Pilot Policy and Urban Land Use Efficiency: A Policy Assessment from China," Land, MDPI, vol. 11(5), pages 1-18, April.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:5:p:604-:d:798093
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    as
    1. Michael Greenstone & Rema Hanna, 2014. "Environmental Regulations, Air and Water Pollution, and Infant Mortality in India," American Economic Review, American Economic Association, vol. 104(10), pages 3038-3072, October.
    2. Quah, Danny T, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," Economic Journal, Royal Economic Society, vol. 106(437), pages 1045-1055, July.
    3. Huo, Weidong & Qi, Jie & Yang, Tong & Liu, Jialu & Liu, Miaomiao & Zhou, Ziqi, 2022. "Effects of China's pilot low-carbon city policy on carbon emission reduction: A quasi-natural experiment based on satellite data," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    4. Huang, Junbing & Hao, Yu & Lei, Hongyan, 2018. "Indigenous versus foreign innovation and energy intensity in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 1721-1729.
    5. R. H. Coase, 2013. "The Problem of Social Cost," Journal of Law and Economics, University of Chicago Press, vol. 56(4), pages 837-877.
    6. Hancevic, Pedro Ignacio, 2016. "Environmental regulation and productivity: The case of electricity generation under the CAAA-1990," Energy Economics, Elsevier, vol. 60(C), pages 131-143.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. Yanwei Zhang & Hualin Xie, 2019. "Interactive Relationship among Urban Expansion, Economic Development, and Population Growth since the Reform and Opening up in China: An Analysis Based on a Vector Error Correction Model," Land, MDPI, vol. 8(10), pages 1-31, October.
    9. Yu, Junqing & Zhou, Kaile & Yang, Shanlin, 2019. "Land use efficiency and influencing factors of urban agglomerations in China," Land Use Policy, Elsevier, vol. 88(C).
    10. Danny Quah, 1996. "Twin Peaks: Growth and Convergence in Models of Distribution Dynamics," CEP Discussion Papers dp0280, Centre for Economic Performance, LSE.
    11. Di Maria, Corrado & Lange, Ian & van der Werf, Edwin, 2014. "Should we be worried about the green paradox? Announcement effects of the Acid Rain Program," European Economic Review, Elsevier, vol. 69(C), pages 143-162.
    12. Petra Moser & Alessandra Voena, 2012. "Compulsory Licensing: Evidence from the Trading with the Enemy Act," American Economic Review, American Economic Association, vol. 102(1), pages 396-427, February.
    13. Zhang, Ling & Zhang, Lei & Xu, Yan & Zhou, Peng & Yeh, Chung-Hsing, 2020. "Evaluating urban land use efficiency with interacting criteria: An empirical study of cities in Jiangsu China," Land Use Policy, Elsevier, vol. 90(C).
    14. Bin Duan & Xuanming Ji, 2021. "Can Carbon Finance Optimize Land Use Efficiency? The Example of China’s Carbon Emissions Trading Policy," Land, MDPI, vol. 10(9), pages 1-18, September.
    15. González Palencia, Juan C. & Furubayashi, Takaaki & Nakata, Toshihiko, 2013. "Analysis of CO2 emissions reduction potential in secondary production and semi-fabrication of non-ferrous metals," Energy Policy, Elsevier, vol. 52(C), pages 328-341.
    16. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    17. 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.
    18. Xiaobing Huang & Xiaolian Liu, 2019. "The Impact of Environmental Regulation on Productivity and Exports: A Firm-Level Evidence from China," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(11), pages 2589-2608, September.
    19. Yang, Xinyu & Jiang, Ping & Pan, Yao, 2020. "Does China's carbon emission trading policy have an employment double dividend and a Porter effect?," Energy Policy, Elsevier, vol. 142(C).
    20. Gehrsitz, Markus, 2017. "The effect of low emission zones on air pollution and infant health," Journal of Environmental Economics and Management, Elsevier, vol. 83(C), pages 121-144.
    21. Gao, Xin & Zhang, Anlu & Sun, Zhanli, 2020. "How regional economic integration influence on urban land use efficiency? A case study of Wuhan metropolitan area, China," Land Use Policy, Elsevier, vol. 90(C).
    22. Arvin, Mak B. & Pradhan, Rudra P. & Norman, Neville R., 2015. "Transportation intensity, urbanization, economic growth, and CO2 emissions in the G-20 countries," Utilities Policy, Elsevier, vol. 35(C), pages 50-66.
    23. Hendrik Wolff, 2014. "Keep Your Clunker in the Suburb: Low‐emission Zones and Adoption of Green Vehicles," Economic Journal, Royal Economic Society, vol. 124(578), pages 481-512, August.
    24. Cai, Bofeng & Cui, Can & Zhang, Da & Cao, Libin & Wu, Pengcheng & Pang, Lingyun & Zhang, Jihong & Dai, Chunyan, 2019. "China city-level greenhouse gas emissions inventory in 2015 and uncertainty analysis," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    25. Naughton, Helen T., 2014. "To shut down or to shift: Multinationals and environmental regulation," Ecological Economics, Elsevier, vol. 102(C), pages 113-117.
    26. Wolff, Hendrik, 2014. "Keep Your Clunker in the Suburb: Low Emission Zones and Adoption of Green Vehicles," IZA Discussion Papers 8180, Institute of Labor Economics (IZA).
    27. Ebru Alpay & Joe Kerkvliet & Steven Buccola, 2002. "Productivity Growth and Environmental Regulation in Mexican and U.S. Food Manufacturing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 887-901.
    28. 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.
    29. Quah, Danny, 1996. "Twin peaks : growth and convergence in models of distribution dynamics," LSE Research Online Documents on Economics 2278, London School of Economics and Political Science, LSE Library.
    30. Yu, Yantuan & Zhang, Ning, 2021. "Low-carbon city pilot and carbon emission efficiency: Quasi-experimental evidence from China," Energy Economics, Elsevier, vol. 96(C).
    31. A. Charnes & W. W. Cooper, 1962. "Programming with linear fractional functionals," Naval Research Logistics Quarterly, John Wiley & Sons, vol. 9(3‐4), pages 181-186, September.
    32. Yongling Yao & Xinyi Shen, 2021. "Environmental protection and economic efficiency of low-carbon pilot cities in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18143-18166, December.
    33. Zhi-Fu Mi & Yi-Ming Wei & Bing Wang & Jing Meng & Zhu Liu & Yuli Shan & Jingru Liu & Dabo Guan, 2017. "Socioeconomic impact assessment of China's CO2 emissions peak prior to 2030," CEEP-BIT Working Papers 103, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
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