IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i19p7843-d417660.html
   My bibliography  Save this article

Impact and Acting Path of Carbon Emission Trading on Carbon Emission Intensity of Construction Land: Evidence from Pilot Areas in China

Author

Listed:
  • Lu Li

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Jie Dong

    (College of Public Administration, Huazhong Agricultural University, Wuhan 430070, China)

  • Yan Song

    (Department of City and Regional Planning, The University of North Carolina at Chapel Hill, New East Bldg, CB 3140, Chapel Hill, NC 27599, USA)

Abstract

Recently, the environmental and resource crisis caused by excessive energy consumption has aroused great concern worldwide. China is a major country of energy consumption and carbon emissions, and has attempted to build a carbon emission trading market to reduce carbon emissions. This practice helps to promote the carbon trading projects for both regional carbon emission reduction and sustainable development in the pilot areas, as well as having important theoretical and practical significance for the further improvement of carbon emission trading policies. In this study, we first used the difference-in-difference (DID) model to evaluate the impact of carbon emission trading on the carbon emission intensity of construction land (CEICL). The results showed that the carbon emission trading policy can significantly reduce CEICL in the pilot areas. Furthermore, we adopted the quantile regression model to explore the mechanism and acting path of carbon emission trading on CEICL. The results show that the increase in carbon trading volume (CTV) can effectively reduce the CEICL. However, a high carbon trading price (CTP) tends to reduce the suppressing effect of carbon emission trading on CEICL. Additionally, carbon emission trading also affects CEICL through the indirect acting paths of industrial structure and energy intensity. Finally, we propose to promote regional low-carbon development from the perspective of developing a carbon emission trading market nationwide, rationalizing the carbon quota and trading price mechanism, optimizing the regional industrial structure, and improving the energy consumption structure.

Suggested Citation

  • Lu Li & Jie Dong & Yan Song, 2020. "Impact and Acting Path of Carbon Emission Trading on Carbon Emission Intensity of Construction Land: Evidence from Pilot Areas in China," Sustainability, MDPI, vol. 12(19), pages 1-15, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:19:p:7843-:d:417660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/19/7843/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/19/7843/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ding, Suiting & Zhang, Ming & Song, Yan, 2019. "Exploring China's carbon emissions peak for different carbon tax scenarios," Energy Policy, Elsevier, vol. 129(C), pages 1245-1252.
    2. Jacobson, Louis S & LaLonde, Robert J & Sullivan, Daniel G, 1993. "Earnings Losses of Displaced Workers," American Economic Review, American Economic Association, vol. 83(4), pages 685-709, September.
    3. 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).
    4. Clò, Stefano & Fumagalli, Elena, 2019. "The effect of price regulation on energy imbalances: A Difference in Differences design," Energy Economics, Elsevier, vol. 81(C), pages 754-764.
    5. Louis S. Jacobson & Robert J. LaLonde & Daniel G. Sullivan, 1993. "Long-term earnings losses of high-seniority displaced workers," Economic Perspectives, Federal Reserve Bank of Chicago, vol. 17(Nov), pages 2-20.
    6. Ashenfelter, Orley & Card, David, 1985. "Using the Longitudinal Structure of Earnings to Estimate the Effect of Training Programs," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 648-660, November.
    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. Qiuyue Xia & Lu Li & Jie Dong & Bin Zhang, 2021. "Reduction Effect and Mechanism Analysis of Carbon Trading Policy on Carbon Emissions from Land Use," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
    2. Po Kou & Ying Han & Xiaoyuan Qi & Yuanxian Li, 2022. "Does China's policy of carbon emission trading deliver sulfur dioxide reduction co-benefits?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(5), pages 6224-6245, May.
    3. Siying Yang & Wenxuan Sun & Zhouyi Wu & Yang He, 2022. "Can the SO2 emission trading system promote urban emission reduction?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(4), pages 963-974, June.
    4. Zhang, Yanfang & Guo, Siyuan & Shi, Xunpeng & Qian, Xiangyan & Nie, Rui, 2021. "A market instrument to achieve carbon neutrality: Is China’s energy-consumption permit trading scheme effective?," Applied Energy, Elsevier, vol. 299(C).
    5. Kailun Fang & Suzana Ariff Azizan & Yifei Wu, 2023. "Low-Carbon Community Regeneration in China: A Case Study in Dadong," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    6. Li, Zhiguo & Wang, Jie, 2022. "Spatial spillover effect of carbon emission trading on carbon emission reduction: Empirical data from pilot regions in China," Energy, Elsevier, vol. 251(C).
    7. Zhang, Lihui & Li, Songrui & Nie, Qingyun & Hu, Yitang, 2022. "A two-stage benefit optimization and multi-participant benefit-sharing strategy for hybrid renewable energy systems in rural areas under carbon trading," Renewable Energy, Elsevier, vol. 189(C), pages 744-761.
    8. Zhang, Yue & Wu, Qiong & Ren, Hongbo & Li, Qifen & Zhou, Weisheng, 2024. "Optimal operation of multi-microgrid systems considering multi-level energy-certificate-carbon coupling trading," Renewable Energy, Elsevier, vol. 227(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. David Card, 2022. "Design-Based Research in Empirical Microeconomics," American Economic Review, American Economic Association, vol. 112(6), pages 1773-1781, June.
    2. Harsha Thirumurthy & Joshua Graff Zivin & Markus Goldstein, 2008. "The Economic Impact of AIDS Treatment: Labor Supply in Western Kenya," Journal of Human Resources, University of Wisconsin Press, vol. 43(3), pages 511-552.
    3. Regner, Hakan, 2002. "A nonexperimental evaluation of training programs for the unemployed in Sweden," Labour Economics, Elsevier, vol. 9(2), pages 187-206, April.
    4. Zhuan Pei, 2017. "Eligibility Recertification and Dynamic Opt-In Incentives in Income-Tested Social Programs: Evidence from Medicaid/CHIP," American Economic Journal: Economic Policy, American Economic Association, vol. 9(1), pages 241-276, February.
    5. Jepsen, Christopher & Montgomery, Mark, 2012. "Back to school: An application of human capital theory for mature workers," Economics of Education Review, Elsevier, vol. 31(1), pages 168-178.
    6. Jacobson, Louis & LaLonde, Robert & G. Sullivan, Daniel, 2005. "Estimating the returns to community college schooling for displaced workers," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 271-304.
    7. Brummet, Quentin, 2014. "The effect of school closings on student achievement," Journal of Public Economics, Elsevier, vol. 119(C), pages 108-124.
    8. Kevin Stange, 2011. "A Longitudinal Analysis of the Relationship Between Fertility Timing and Schooling," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 931-956, August.
    9. J. David Brown & John S. Earle & Almos Telegdy, 2006. "The Productivity Effects of Privatization: Longitudinal Estimates from Hungary, Romania, Russia, and Ukraine," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 61-99, February.
    10. Chen, Zhe & Song, Pei & Wang, Baolu, 2021. "Carbon emissions trading scheme, energy efficiency and rebound effect – Evidence from China's provincial data," Energy Policy, Elsevier, vol. 157(C).
    11. Bas Scheer & Wiljan van den Berge & Maarten Goos & Alan Manning & Anna Salomons, 2022. "Alternative Work Arrangements and Worker Outcomes: Evidence from Payrolling," CPB Discussion Paper 435, CPB Netherlands Bureau for Economic Policy Analysis.
    12. Yuegang Song & Songlin Jin & Zhenhui Li, 2022. "Venture Capital and Chinese Firms’ Technological Innovation Capability: Effective Evaluation and Mechanism Verification," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    13. Andreas Pollak, 2008. "Optimal Unemployment Insurance with Variable Skill Levels," Journal of Institutional and Theoretical Economics (JITE), Mohr Siebeck, Tübingen, vol. 164(4), pages 696-726, December.
    14. Liu, Duan & Yu, Nizhou & Wan, Hong, 2022. "Does water rights trading affect corporate investment? The role of resource allocation and risk mitigation channels," Economic Modelling, Elsevier, vol. 117(C).
    15. Alexander Hijzen & Sébastien Jean & Thierry Mayer, 2011. "The effects at home of initiating production abroad: evidence from matched French firms," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 147(3), pages 457-483, September.
    16. Laiqun Jin & Xiuyan Liu & Sam Hak Kan Tang, 2021. "High-Technology Zones, Misallocation of Resources among Cities and Aggregate Productivity: Evidence from China," Economics Discussion / Working Papers 21-11, The University of Western Australia, Department of Economics.
    17. Gabrielle Wills, 2016. "Principal leadership changes in South Africa: Investigating their consequences for school performance," Working Papers 01/2016, Stellenbosch University, Department of Economics.
    18. Lídia Farré & Francesco Fasani & Hannes Mueller, 2018. "Feeling useless: the effect of unemployment on mental health in the Great Recession," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-34, December.
    19. Jose Garcia‐Louzao & Marta Silva, 2024. "Coworker networks and the labor market outcomes of displaced workers: Evidence from Portugal," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 63(3), pages 389-413, July.
    20. Guo, Shu & Zhang, ZhongXiang, 2023. "Green credit policy and total factor productivity: Evidence from Chinese listed companies," Energy Economics, Elsevier, vol. 128(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:jsusta:v:12:y:2020:i:19:p:7843-:d:417660. 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.