IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i24p12892-d696916.html
   My bibliography  Save this article

Research on the Spatial and Temporal Differences of China’s Provincial Carbon Emissions and Ecological Compensation Based on Land Carbon Budget Accounting

Author

Listed:
  • Xiaodong Jing

    (Business School, Hohai University, Nanjing 211100, China)

  • Guiliang Tian

    (Business School, Hohai University, Nanjing 211100, China
    School of Economics and Finance, Hohai University, Nanjing 211100, China
    Jiangsu Yangtze River Conservation and High-Quality Development Research Center, Nanjing 210098, China)

  • Minrui Li

    (Business School, Hohai University, Nanjing 211100, China)

  • Sohail Ahmad Javeed

    (Hangzhou College of Commerce, Zhejiang Gongshang University, Hangzhou 310018, China)

Abstract

The establishment of a complete carbon ecological compensation mechanism is of great significance for China to achieve “carbon peak and carbon neutrality” as soon as possible. From the perspective of land carbon budget accounting, this paper measures the carbon emissions and the value of carbon ecological compensation in 30 provinces in China from 2010 to 2019, by constructing a carbon ecological compensation model, and analyzes it from both time and space perspectives. The study found that: (1) during the period 2010–2019, China’s carbon absorption remained basically stable, and woodland and grassland were the main carriers of China’s land carbon absorption. The total carbon sequestration of woodland and grassland showed a pattern of being high in the west and low in the east, and the total carbon sequestration of cultivated land showed a pattern of being high in the east and low in the west. (2) Construction land is the main source of carbon emissions in China. Cultivated land carbon emissions mainly come from major agricultural provinces such as Henan and Heilongjiang, while construction land carbon emissions are mainly concentrated in energy-consuming provinces such as Shandong and Shanxi. (3) After revising the carbon compensation benchmark value, it is found that provinces such as Guangdong and Jiangsu should receive carbon ecological compensation, while provinces dominated by heavy industries such as Shanxi and Shandong need to pay corresponding carbon compensation fees. Finally, this article puts forward corresponding policy recommendations, such as that China should give full play to the role of the government and the market, accelerate the optimization and improvement of the ecological resource asset property rights system, and optimize the development and utilization of land.

Suggested Citation

  • Xiaodong Jing & Guiliang Tian & Minrui Li & Sohail Ahmad Javeed, 2021. "Research on the Spatial and Temporal Differences of China’s Provincial Carbon Emissions and Ecological Compensation Based on Land Carbon Budget Accounting," IJERPH, MDPI, vol. 18(24), pages 1-21, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:24:p:12892-:d:696916
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/24/12892/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/18/24/12892/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhang, Yue-Jun & Wang, Ao-Dong & Da, Ya-Bin, 2014. "Regional allocation of carbon emission quotas in China: Evidence from the Shapley value method," Energy Policy, Elsevier, vol. 74(C), pages 454-464.
    2. Kalpana Ambastha & Syed Ainul Hussain & Ruchi Badola, 2007. "Social and economic considerations in conserving wetlands of indo-gangetic plains: A case study of Kabartal wetland, India," Environment Systems and Decisions, Springer, vol. 27(2), pages 261-273, June.
    3. Christopher Galik & Megan Mobley & Daniel Richter, 2009. "A virtual “field test” of forest management carbon offset protocols: the influence of accounting," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 14(7), pages 677-690, October.
    4. Zheng, Xinyi & Zhang, Junze & Cao, Shixiong, 2018. "Net value of grassland ecosystem services in mainland China," Land Use Policy, Elsevier, vol. 79(C), pages 94-101.
    5. Lenzen, Manfred & Wier, Mette & Cohen, Claude & Hayami, Hitoshi & Pachauri, Shonali & Schaeffer, Roberto, 2006. "A comparative multivariate analysis of household energy requirements in Australia, Brazil, Denmark, India and Japan," Energy, Elsevier, vol. 31(2), pages 181-207.
    6. Wünscher, Tobias & Engel, Stefanie & Wunder, Sven, 2008. "Spatial targeting of payments for environmental services: A tool for boosting conservation benefits," Ecological Economics, Elsevier, vol. 65(4), pages 822-833, May.
    7. Sheng, Wenping & Zhen, Lin & Xie, Gaodi & Xiao, Yu, 2017. "Determining eco-compensation standards based on the ecosystem services value of the mountain ecological forests in Beijing, China," Ecosystem Services, Elsevier, vol. 26(PB), pages 422-430.
    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. Juan Chen & Sensen Wu & Laifu Zhang, 2023. "Spatiotemporal Variation of Per Capita Carbon Emissions and Carbon Compensation Zoning in Chinese Counties," Land, MDPI, vol. 12(9), pages 1-22, September.
    2. Chen Qu & Wen Li & Jia Xu & Song Shi, 2023. "Blackland Conservation and Utilization, Carbon Storage and Ecological Risk in Green Space: A Case Study from Heilongjiang Province in China," IJERPH, MDPI, vol. 20(4), pages 1-21, February.
    3. Tianlin Zhai & Linke Wu & Yuanmeng Chen & Mian Faisal Nazir & Mingyuan Chang & Yuanbo Ma & Enxiang Cai & Guanyu Ding & Chenchen Zhao & Ling Li & Longyang Huang, 2022. "Ecological Compensation in the Context of Carbon Neutrality: A Case Involving Service Production-Transmission and Distribution-Service Consumption," Land, MDPI, vol. 11(12), pages 1-18, December.
    4. Zhengkun Yang & Xuesong Zhang & Xiurong Hu & Xiaowen Zhou, 2024. "Spatial-Temporal Evolution of Agricultural Carbon Balance at Township Scale and Carbon Compensation Zoning: A Case Study of Guangshui City, Hubei Province," Land, MDPI, vol. 13(6), pages 1-29, 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. Frans P. Vries & Nick Hanley, 2016. "Incentive-Based Policy Design for Pollution Control and Biodiversity Conservation: A Review," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 63(4), pages 687-702, April.
    2. Shi, Changfeng & Zhi, Jiaqi & Yao, Xiao & Zhang, Hong & Yu, Yue & Zeng, Qingshun & Li, Luji & Zhang, Yuxi, 2023. "How can China achieve the 2030 carbon peak goal—a crossover analysis based on low-carbon economics and deep learning," Energy, Elsevier, vol. 269(C).
    3. McGrath, F.L. & Carrasco, L.R. & Leimona, B., 2017. "How auctions to allocate payments for ecosystem services contracts impact social equity," Ecosystem Services, Elsevier, vol. 25(C), pages 44-55.
    4. Mark Sommer & Kurt Kratena, 2016. "The Carbon Footprint of European Households and Income Distribution. WWWforEurope Working Paper No. 113," WIFO Studies, WIFO, number 58787, March.
    5. Ziyu Li & Bangjun Wang, 2024. "A Bibliometric Analysis of Carbon Allowances in the Carbon Emissions Trading Market," Energies, MDPI, vol. 18(1), pages 1-18, December.
    6. Huang, Liqiao & Long, Yin & Chen, Jundong & Yoshida, Yoshikuni, 2023. "Sustainable lifestyle: Urban household carbon footprint accounting and policy implications for lifestyle-based decarbonization," Energy Policy, Elsevier, vol. 181(C).
    7. Pottier, Antonin, 2022. "Expenditure elasticity and income elasticity of GHG emissions: A survey of literature on household carbon footprint," Ecological Economics, Elsevier, vol. 192(C).
    8. Tianran Ding & Wouter Achten, 2023. "Coupling agent-based modeling with territorial LCA to support agricultural land-use planning," ULB Institutional Repository 2013/359527, ULB -- Universite Libre de Bruxelles.
    9. Hongxing Liu & Wendong Zhang & Elena Irwin & Jeffrey Kast & Noel Aloysius & Jay Martin & Margaret Kalcic, 2020. "Best Management Practices and Nutrient Reduction: An Integrated Economic-Hydrologic Model of the Western Lake Erie Basin," Land Economics, University of Wisconsin Press, vol. 96(4), pages 510-530.
    10. Zhu, Bangzhu & Jiang, Mingxing & He, Kaijian & Chevallier, Julien & Xie, Rui, 2018. "Allocating CO2 allowances to emitters in China: A multi-objective decision approach," Energy Policy, Elsevier, vol. 121(C), pages 441-451.
    11. Qinghu Liao & Wenwen Dong & Boxin Zhao, 2023. "A New Strategy to Solve “the Tragedy of the Commons” in Sustainable Grassland Ecological Compensation: Experience from Inner Mongolia, China," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    12. Yang, Yi & Zhu, Yu & Zhao, Yiwen, 2024. "Improving farmers’ livelihoods through the eco-compensation of forest carbon sinks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 198(C).
    13. Roca, Jordi & Serrano, Monica, 2007. "Income growth and atmospheric pollution in Spain: An input-output approach," Ecological Economics, Elsevier, vol. 63(1), pages 230-242, June.
    14. Martin Persson, U. & Alpízar, Francisco, 2013. "Conditional Cash Transfers and Payments for Environmental Services—A Conceptual Framework for Explaining and Judging Differences in Outcomes," World Development, Elsevier, vol. 43(C), pages 124-137.
    15. Wang, Yubao & Zhen, Junjie, 2024. "Regional electricity cooperation model for cost-effective electricity management with an emphasis on economic efficiency," Energy Policy, Elsevier, vol. 195(C).
    16. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2017. "Carbon allowance auction design of China's emissions trading scheme: A multi-agent-based approach," Energy Policy, Elsevier, vol. 102(C), pages 30-40.
    17. Wen-Chi Yang & Wen-Min Lu, 2023. "Achieving Net Zero—An Illustration of Carbon Emissions Reduction with A New Meta-Inverse DEA Approach," IJERPH, MDPI, vol. 20(5), pages 1-20, February.
    18. Xin Jiang & Yuyu Liu & Ranhang Zhao, 2019. "A Framework for Ecological Compensation Assessment: A Case Study in the Upper Hun River Basin, Northeast China," Sustainability, MDPI, vol. 11(4), pages 1-13, February.
    19. Börner, Jan & Wunder, Sven & Wertz-Kanounnikoff, Sheila & Tito, Marcos Rügnitz & Pereira, Ligia & Nascimento, Nathalia, 2010. "Direct conservation payments in the Brazilian Amazon: Scope and equity implications," Ecological Economics, Elsevier, vol. 69(6), pages 1272-1282, April.
    20. Chia-Lin Chang & Te-Ke Mai & Michael Mcaleer, 2018. "Pricing Carbon Emissions In China," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-37, September.

    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:jijerp:v:18:y:2021:i:24:p:12892-:d:696916. 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.