IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2022i1p92-d1016960.html
   My bibliography  Save this article

Exploring the Impact of Industrial Land Price Distortion on Carbon Emission Intensity: Evidence from China

Author

Listed:
  • Bo-yang Gao

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Zhi-ji Huang

    (School of Government, Central University of Finance and Economics, Beijing 100081, China)

  • Ting-ting Zhang

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Xiao-yu Sun

    (School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100081, China)

  • Ming-yue Song

    (School of Government, Central University of Finance and Economics, Beijing 100081, China)

Abstract

In the context of tax sharing reform and land reform during the 1990s, local governments in China relied heavily on land finance. Local governments have fierce competition in attracting investment, omitting the development of green economy. Based on the data of industrial land sales and carbon dioxide emissions, this study constructed the panel data of 196 cities in China from 2007 to 2017 and analyzed the spatial and temporal evolution characteristics of urban industrial land price distortion and carbon emission intensity. Furthermore, a multiple linear regression model was constructed from the aspects of scale effect to empirically analyze the overall impact and differential impact of urban industrial land price distortion on carbon emission intensity. With the help of the mediating effect model, the mechanism of urban industrial land price distortion on carbon emission intensity was investigated from the perspective of industrial structure upgrading. The results showed that (1) the higher the price distortion of industrial land is, the more detrimental it is to the development of green and low-carbon economy. (2) The regional heterogeneity test showed that the impact of industrial land price distortion on carbon emission intensity is most significant in the central region, medium cities, and cities with low fiscal self-sufficiency rates, respectively. (3) The higher the distortion degree of industrial land price, the greater the restriction on the upgrading of industrial structure, further increasing the carbon emission intensity. This paper provides policy implications for the market-oriented reform of land factors and the realization of the “double carbon” goal.

Suggested Citation

  • Bo-yang Gao & Zhi-ji Huang & Ting-ting Zhang & Xiao-yu Sun & Ming-yue Song, 2022. "Exploring the Impact of Industrial Land Price Distortion on Carbon Emission Intensity: Evidence from China," Land, MDPI, vol. 12(1), pages 1-20, December.
  • Handle: RePEc:gam:jlands:v:12:y:2022:i:1:p:92-:d:1016960
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/92/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/1/92/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Glaeser, Edward L. & Kahn, Matthew E., 2010. "The greenness of cities: Carbon dioxide emissions and urban development," Journal of Urban Economics, Elsevier, vol. 67(3), pages 404-418, May.
    2. Baek, Jungho, 2015. "Environmental Kuznets curve for CO2 emissions: The case of Arctic countries," Energy Economics, Elsevier, vol. 50(C), pages 13-17.
    3. Liu, Yongzheng & Alm, James, 2016. "“Province-Managing-County” fiscal reform, land expansion, and urban growth in China," Journal of Housing Economics, Elsevier, vol. 33(C), pages 82-100.
    4. Yang, Mian & Yang, Fuxia & Sun, Chuanwang, 2018. "Factor market distortion correction, resource reallocation and potential productivity gains: An empirical study on China's heavy industry sector," Energy Economics, Elsevier, vol. 69(C), pages 270-279.
    5. Huihui Deng & Xinye Zheng & Nan Huang & Fanghua Li, 2012. "Strategic Interaction in Spending on Environmental Protection: Spatial Evidence from Chinese Cities," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 20(5), pages 103-120, September.
    6. 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.
    7. Du, Jun & Mickiewicz, Tomasz, 2016. "Subsidies, rent seeking and performance: Being young, small or private in China," Journal of Business Venturing, Elsevier, vol. 31(1), pages 22-38.
    8. Olatunji Abdul Shobande, 2021. "Decomposing the Persistent and Transitory Effect of Information and Communication Technology on Environmental Impacts Assessment in Africa: Evidence from Mundlak Specification," Sustainability, MDPI, vol. 13(9), pages 1-12, April.
    9. Wu, Haoyi & Guo, Huanxiu & Zhang, Bing & Bu, Maoliang, 2017. "Westward movement of new polluting firms in China: Pollution reduction mandates and location choice," Journal of Comparative Economics, Elsevier, vol. 45(1), pages 119-138.
    10. Lin, Boqiang & Abudu, Hermas, 2019. "Changes in Energy Intensity During the development Process:Evidence in Sub-Saharan Africa and Policy Implications," Energy, Elsevier, vol. 183(C), pages 1012-1022.
    11. Eric Bartelsman & John Haltiwanger & Stefano Scarpetta, 2013. "Cross-Country Differences in Productivity: The Role of Allocation and Selection," American Economic Review, American Economic Association, vol. 103(1), pages 305-334, February.
    12. Jianghua Liu & Mengxu Li & Yitao Ding, 2021. "Econometric analysis of the impact of the urban population size on carbon dioxide (CO2) emissions in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18186-18203, December.
    13. Ren, Shenggang & Yuan, Baolong & Ma, Xie & Chen, Xiaohong, 2014. "International trade, FDI (foreign direct investment) and embodied CO2 emissions: A case study of Chinas industrial sectors," China Economic Review, Elsevier, vol. 28(C), pages 123-134.
    14. van der Kamp, Denise & Lorentzen, Peter & Mattingly, Daniel, 2017. "Racing to the Bottom or to the Top? Decentralization, Revenue Pressures, and Governance Reform in China," World Development, Elsevier, vol. 95(C), pages 164-176.
    15. 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. Yin, Zi Hui & Zeng, Wei Ping, 2023. "The effects of industrial intelligence on China's energy intensity: The role of technology absorptive capacity," Technological Forecasting and Social Change, Elsevier, vol. 191(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. Guanghui Tian & Jianming Miao & Changhong Miao & Yehua Dennis Wei & Dongyang Yang, 2022. "Interplay of Environmental Regulation and Local Protectionism in China," IJERPH, MDPI, vol. 19(10), pages 1-21, May.
    2. Juan Tang & Fangming Qin, 2022. "Analyzing the impact of local government competition on green total factor productivity from the factor market distortion perspective: based on the three stage DEA model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(12), pages 14298-14326, December.
    3. Zhuang Miao & Tomas Baležentis & Zhihua Tian & Shuai Shao & Yong Geng & Rui Wu, 2019. "Environmental Performance and Regulation Effect of China’s Atmospheric Pollutant Emissions: Evidence from “Three Regions and Ten Urban Agglomerations”," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(1), pages 211-242, September.
    4. Mohamad Taghvaee, Vahid & Seifi Aloo, Alireza & Khodaparast Shirazi, Jalil, 2016. "Energy, Environment, and Economy Interactions in Iran with Cointegrated and ECM Simultaneous Model," MPRA Paper 70508, University Library of Munich, Germany.
    5. Yang, Mian & Hong, Yili & Yang, Fuxia, 2022. "The effects of Mandatory Energy Efficiency Policy on resource allocation efficiency: Evidence from Chinese industrial sector," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 513-524.
    6. Ru Sha & Tao Ge & Jinye Li, 2022. "How Energy Price Distortions Affect China’s Economic Growth and Carbon Emissions," Sustainability, MDPI, vol. 14(12), pages 1-27, June.
    7. Demena, Binyam Afewerk & Afesorgbor, Sylvanus Kwaku, 2020. "The effect of FDI on environmental emissions: Evidence from a meta-analysis," Energy Policy, Elsevier, vol. 138(C).
    8. Shiguang Peng & Le Wang & Lei Xu, 2023. "Impact of the Marketization of Industrial Land Transfer on Regional Carbon Emission Intensity: Evidence from China," Land, MDPI, vol. 12(5), pages 1-20, April.
    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. 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).
    11. Cong Yu & Linke Hou & Yuxia Lyu & Qi Zhang, 2022. "Political competition, spatial interactions, and default risk of local government debts in China," Papers in Regional Science, Wiley Blackwell, vol. 101(3), pages 717-743, June.
    12. Ling-Yun He & Xiao-Feng Qi, 2021. "Resource Misallocation and Energy-Related Pollution," IJERPH, MDPI, vol. 18(10), pages 1-19, May.
    13. Liu, Shasha & Yin, Shanshan & Yin, Chuan & Sheng, Yan, 2021. "Does the price of natural resources affect firms’ total factor productivity? Evidence from a natural experiment in China," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 37-50.
    14. Song, Yang & Liu, Dayu & Wang, Qiaoru, 2021. "Identifying characteristic changes in club convergence of China's urban pollution emission: A spatial-temporal feature analysis," Energy Economics, Elsevier, vol. 98(C).
    15. Zhang, Yixiang & Fu, Bowen, 2023. "Social trust contributes to the reduction of urban carbon dioxide emissions," Energy, Elsevier, vol. 279(C).
    16. 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.
    17. Xi, Qiangmin & Mei, Lin, 2022. "How did development zones affect China’s land transfers? The scale, marketization, and resource allocation effect," Land Use Policy, Elsevier, vol. 119(C).
    18. Liu, Tiansen & Song, Yazhi & Xing, Xinpeng & Zhu, Yue & Qu, Zhengyu, 2021. "Bridging production factors allocation and environmental performance of China’s heavy-polluting energy firms: The moderation effect of financing and internationalization," Energy, Elsevier, vol. 222(C).
    19. Junwei Ma & Jianhua Wang & Philip Szmedra, 2020. "Does Environmental Innovation Improve Environmental Productivity?—An Empirical Study Based on the Spatial Panel Data Model of Chinese Urban Agglomerations," IJERPH, MDPI, vol. 17(17), pages 1-18, August.
    20. Yanwei Lyu & Yahui Ge & Jinning Zhang, 2023. "The impact of digital economy on capital misallocation: evidence from China," Economic Change and Restructuring, Springer, vol. 56(5), pages 3475-3499, October.

    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:2022:i:1:p:92-:d:1016960. 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.