IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v121y2022ics0264837722003635.html
   My bibliography  Save this article

Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China

Author

Listed:
  • Zhou, Di
  • Huang, Qing
  • Chong, Zhaohui

Abstract

The land misallocation between industrial land and commercial land should be emphasized when analyzing carbon emissions efficiency. This paper tests the effect and mechanisms of land misallocation on carbon emissions efficiency using Chinese city-level data in the period 2009–2017. Our study shows that the misallocation between industrial land and commercial land in China has a significant and robust negative impact on carbon emissions efficiency. The influence has significant heterogeneity across cities. Through the mechanism analyses, this paper confirms that land misallocation affects carbon emissions efficiency through four internal mechanisms: the lagged upgrading of urban industrial structure, the development of high-pollution and energy-consuming industries within the secondary industry, the lagged upgrading of urban technological innovation, and the lagged development of high-end tertiary industries within the tertiary industry. This research enriches the literature on factors that influence carbon emissions efficiency and provides a new perspective for government to improve policymaking on this topic.

Suggested Citation

  • Zhou, Di & Huang, Qing & Chong, Zhaohui, 2022. "Analysis on the effect and mechanism of land misallocation on carbon emissions efficiency: Evidence from China," Land Use Policy, Elsevier, vol. 121(C).
    • Handle: RePEc:eee:lauspo:v:121:y:2022:i:c:s0264837722003635
    DOI: 10.1016/j.landusepol.2022.106336
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837722003635
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2022.106336?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. Duranton,Gilles & Ghani,Syed Ejaz & Grover,Arti Goswami & Kerr,William Robert & Duranton,Gilles & Ghani,Syed Ejaz & Goswami,Arti Grover & Kerr,William Robert, 2015. "The misallocation of land and other factors of production in India," Policy Research Working Paper Series 7221, The World Bank.
    2. Siqi Zheng & Rui Wang & Edward L. Glaeser & Matthew E. Kahn, 2011. "The greenness of China: household carbon dioxide emissions and urban development," Journal of Economic Geography, Oxford University Press, vol. 11(5), pages 761-792, September.
    3. Ang, B. W., 1999. "Is the energy intensity a less useful indicator than the carbon factor in the study of climate change?," Energy Policy, Elsevier, vol. 27(15), pages 943-946, December.
    4. Yuping Deng & Yanrui Wu & Helian Xu, 2020. "Political Connections and Firm Pollution Behaviour: An Empirical Study," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 75(4), pages 867-898, April.
    5. Chang-Tai Hsieh & Enrico Moretti, 2019. "Housing Constraints and Spatial Misallocation," American Economic Journal: Macroeconomics, American Economic Association, vol. 11(2), pages 1-39, April.
    6. Niu, Fangqu & Li, Jun, 2018. "Modeling the population and industry distribution impacts of urban land use policies in Beijing," Land Use Policy, Elsevier, vol. 70(C), pages 347-359.
    7. Zhou, P. & Ang, B.W. & Han, J.Y., 2010. "Total factor carbon emission performance: A Malmquist index analysis," Energy Economics, Elsevier, vol. 32(1), pages 194-201, January.
    8. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2015. "Driving factors behind carbon dioxide emissions in China: A modified production-theoretical decomposition analysis," Energy Economics, Elsevier, vol. 51(C), pages 252-260.
    9. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    10. Gao, Huina, 2019. "Public land leasing, public productive spending and economic growth in Chinese cities," Land Use Policy, Elsevier, vol. 88(C).
    11. Diego Restuccia & Richard Rogerson, 2013. "Misallocation and productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 16(1), pages 1-10, January.
    12. Ang, B.W. & Su, Bin, 2016. "Carbon emission intensity in electricity production: A global analysis," Energy Policy, Elsevier, vol. 94(C), pages 56-63.
    13. Wang, Ling-Ou & Wu, Haitao & Hao, Yu, 2020. "How does China's land finance affect its carbon emissions?," Structural Change and Economic Dynamics, Elsevier, vol. 54(C), pages 267-281.
    14. Zhang, Jian & Mishra, Ashok K. & Zhu, Peixin & Li, Xiaoshun, 2020. "Land rental market and agricultural labor productivity in rural China: A mediation analysis," World Development, Elsevier, vol. 135(C).
    15. Kurronen, Sanna, 2015. "Financial sector in resource-dependent economies," Emerging Markets Review, Elsevier, vol. 23(C), pages 208-229.
    16. Jin, Hehui & Qian, Yingyi & Weingast, Barry R., 2005. "Regional decentralization and fiscal incentives: Federalism, Chinese style," Journal of Public Economics, Elsevier, vol. 89(9-10), pages 1719-1742, September.
    17. Haroldo V. Ribeiro & Diego Rybski & Jürgen P. Kropp, 2019. "Effects of changing population or density on urban carbon dioxide emissions," Nature Communications, Nature, vol. 10(1), pages 1-9, December.
    18. Hu, Fox Z.Y. & Qian, Jiwei, 2017. "Land-based finance, fiscal autonomy and land supply for affordable housing in urban China: A prefecture-level analysis," Land Use Policy, Elsevier, vol. 69(C), pages 454-460.
    19. R. Ramanathan, 2002. "Combining indicators of energy consumption and CO 2 emissions: a cross-country comparison," International Journal of Global Energy Issues, Inderscience Enterprises Ltd, vol. 17(3), pages 214-227.
    20. Tang, Pengcheng & Yang, Shuwang & Shen, Jun & Fu, Shuke, 2018. "Does China's low-carbon pilot programme really take off? Evidence from land transfer of energy-intensive industry," Energy Policy, Elsevier, vol. 114(C), pages 482-491.
    21. Wu, Yan & Heerink, Nico, 2016. "Foreign direct investment, fiscal decentralization and land conflicts in China," China Economic Review, Elsevier, vol. 38(C), pages 92-107.
    22. 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).
    23. Zhaosu Meng & Huan Wang & Baona Wang, 2018. "Empirical Analysis of Carbon Emission Accounting and Influencing Factors of Energy Consumption in China," IJERPH, MDPI, vol. 15(11), pages 1-15, November.
    24. Du, Kerui & Lu, Huang & Yu, Kun, 2014. "Sources of the potential CO2 emission reduction in China: A nonparametric metafrontier approach," Applied Energy, Elsevier, vol. 115(C), pages 491-501.
    25. Joachim Lentes & Joerg Mandel & Ursula Schliessmann & Roland Blach & Michael Hertwig & Timm Kuhlmann, 2017. "Competitive and sustainable manufacturing by means of ultra-efficient factories in urban surroundings," International Journal of Production Research, Taylor & Francis Journals, vol. 55(2), pages 480-491, January.
    26. Junhua Chen & Fei Guo & Hao Wang & Zhifeng Wang & Ying Wu, 2018. "Urban Land Revenue and Sustainable Urbanization in China: Issues and Challenges," Sustainability, MDPI, vol. 10(7), pages 1-12, June.
    27. Kahia, Montassar & Aïssa, Mohamed Safouane Ben & Lanouar, Charfeddine, 2017. "Renewable and non-renewable energy use - economic growth nexus: The case of MENA Net Oil Importing Countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 127-140.
    28. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    29. Tang, Pengcheng & Yang, Shuwang & Fu, Shuke, 2018. "Do political incentive affects China's land transfer in energy-intensive industries?," Energy, Elsevier, vol. 164(C), pages 550-559.
    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, Zeyu & Tang, Yuhong & Shen, Hebin & Liu, Jiali & Hu, Zheng, 2024. "Threshold effects of Government digital development and land resource disparity on Urban carbon efficiency in China," Resources Policy, Elsevier, vol. 94(C).
    2. Xiangqi Yan & Hanbing Tuo & Yani Lai, 2022. "A Two-Way Fixed Effects Estimation on the Impact of Industrial Land Supply on Environmental Pollution in Urban China," IJERPH, MDPI, vol. 19(22), pages 1-24, November.
    3. Shuchen Niu & Xiang Luo & Tiantian Yang & Guodong Lin & Chongming Li, 2023. "Does the Low-Carbon City Pilot Policy Improve the Urban Land Green Use Efficiency?—Investigation Based on Multi-Period Difference-in-Differences Model," IJERPH, MDPI, vol. 20(3), pages 1-21, February.
    4. Mingzhi Zhang & Hongyu Liu & Yangyue Su & Xiangyu Zhou & Zhaocheng Li & Chao Chen, 2022. "Assessment and Decomposition of Regional Land Use Efficiency of the Service Sector in China," Land, MDPI, vol. 11(11), pages 1-19, October.
    5. Lai, Aolin & Li, Zhenran & Hu, Xiurong & Wang, Qunwei, 2024. "Does digital economy improve city-level eco-efficiency in China?," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 1198-1213.
    6. Jiayu Liu & Feng Xu & Huan Wang & Xiao Zhang, 2023. "Investigating the Impacts of Built-Up Land Allocation on Carbon Emissions in 88 Cities of the Yangtze River Economic Belt Based on Panel Regressions," Land, MDPI, vol. 12(4), pages 1-15, April.
    7. Feng Dong & Guoqing Li & Yajie Liu & Qing Xu & Caixia Li, 2023. "Spatial-Temporal Evolution and Cross-Industry Synergy of Carbon Emissions: Evidence from Key Industries in the City in Jiangsu Province, China," Sustainability, MDPI, vol. 15(5), pages 1-27, February.
    8. Qiao, Renlu & Wu, Zhiqiang & Jiang, Qingrui & Liu, Xiaochang & Gao, Shuo & Xia, Li & Yang, Tianren, 2024. "The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach," Land Use Policy, Elsevier, vol. 140(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. Wang, Qunwei & Chiu, Yung-Ho & Chiu, Ching-Ren, 2017. "Non-radial metafrontier approach to identify carbon emission performance and intensity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 664-672.
    2. Tinghui Li & Jiehua Ma & Bin Mo, 2021. "Does the Land Market Have an Impact on Green Total Factor Productivity? A Case Study on China," Land, MDPI, vol. 10(6), pages 1-19, June.
    3. Ling, Yantao & Xia, Senmao & Cao, Mengqiu & He, Kerun & Lim, Ming K. & Sukumar, Arun & Yi, Huiyong & Qian, Xiaoduo, 2021. "Carbon emissions in China's thermal electricity and heating industry: an input-output structural decomposition analysis," LSE Research Online Documents on Economics 112930, London School of Economics and Political Science, LSE Library.
    4. Zhang, Wei & Liu, Xuemeng & Wang, Die & Zhou, Jianping, 2022. "Digital economy and carbon emission performance: Evidence at China's city level," Energy Policy, Elsevier, vol. 165(C).
    5. Yao, Xin & Guo, Chengwen & Shao, Shuai & Jiang, Zhujun, 2016. "Total-factor CO2 emission performance of China’s provincial industrial sector: A meta-frontier non-radial Malmquist index approach," Applied Energy, Elsevier, vol. 184(C), pages 1142-1153.
    6. 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.
    7. Zhou, P. & Ang, B.W. & Poh, K.L., 2006. "Slacks-based efficiency measures for modeling environmental performance," Ecological Economics, Elsevier, vol. 60(1), pages 111-118, November.
    8. Tianyi Zeng & Hong Jin & Zhifei Geng & Zihang Kang & Zichen Zhang, 2022. "The Effect of Urban Shrinkage on Carbon Dioxide Emissions Efficiency in Northeast China," IJERPH, MDPI, vol. 19(9), pages 1-18, May.
    9. Qizhen Wang & Qian Zhang, 2022. "Foreign Direct Investment and Carbon Emission Efficiency: The Role of Direct and Indirect Channels," Sustainability, MDPI, vol. 14(20), pages 1-23, October.
    10. Jin Zhu & Huaping Sun & Dequn Zhou & Lin Peng & Chuanwang Sun, 2020. "Carbon emission efficiency of thermal power in different regions of China and spatial correlations," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(7), pages 1221-1242, October.
    11. Tang, Pengcheng & Yang, Shuwang & Fu, Shuke, 2018. "Do political incentive affects China's land transfer in energy-intensive industries?," Energy, Elsevier, vol. 164(C), pages 550-559.
    12. Minyoung Yang & Jinsoo Kim, 2022. "A Critical Review of the Definition and Estimation of Carbon Efficiency," Sustainability, MDPI, vol. 14(16), pages 1-18, August.
    13. Bo Li & Jing Liu & Qian Liu & Muhammad Mohiuddin, 2022. "The Effects of Broadband Infrastructure on Carbon Emission Efficiency of Resource-Based Cities in China: A Quasi-Natural Experiment from the “Broadband China” Pilot Policy," IJERPH, MDPI, vol. 19(11), pages 1-27, May.
    14. Zhang, Wei & Liu, Xuemeng & Zhao, Shikuan & Tang, Tian, 2024. "Does green finance agglomeration improve carbon emission performance in China? A perspective of spatial spillover," Applied Energy, Elsevier, vol. 358(C).
    15. Ying Sun & Fengqin Liu & Huaping Sun, 2022. "Does Standardization Improve Carbon Emission Efficiency as Soft Infrastructure? Evidence from China," Energies, MDPI, vol. 15(6), pages 1-17, March.
    16. Du, Kerui & Li, Jianglong, 2019. "Towards a green world: How do green technology innovations affect total-factor carbon productivity," Energy Policy, Elsevier, vol. 131(C), pages 240-250.
    17. Feng, Chao & Zhang, Hua & Huang, Jian-Bai, 2017. "The approach to realizing the potential of emissions reduction in China: An implication from data envelopment analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 859-872.
    18. Fu, Shihe & Xu, Xiaocong & Zhang, Junfu, 2021. "Land conversion across cities in China," Regional Science and Urban Economics, Elsevier, vol. 87(C).
    19. Jiao Wang & Zhenliang Liao & Hui Sun, 2023. "Analysis of Carbon Emission Efficiency in the Yellow River Basin in China: Spatiotemporal Differences and Influencing Factors," Sustainability, MDPI, vol. 15(10), pages 1-19, May.
    20. Chenxu Liu & Ruien Tang & Yaqi Guo & Yuhan Sun & Xinyi Liu, 2022. "Research on the Structure of Carbon Emission Efficiency and Influencing Factors in the Yangtze River Delta Urban Agglomeration," Sustainability, MDPI, vol. 14(10), pages 1-22, May.

    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:121:y:2022:i:c:s0264837722003635. 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.