IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i7p1458-d1199458.html
   My bibliography  Save this article

Decoupling Analysis of Carbon Emissions and Forest Area in China from 2004 to 2020

Author

Listed:
  • Shusen Zhu

    (School of Economics and Management, Xinjiang University, No.666 Shengli Road, Urumqi 830046, China
    Center for Innovation Management Research of Xinjiang, No.666 Shengli Road, Urumqi 830046, China)

  • Hui Sun

    (School of Economics and Management, Xinjiang University, No.666 Shengli Road, Urumqi 830046, China
    Center for Innovation Management Research of Xinjiang, No.666 Shengli Road, Urumqi 830046, China)

  • Xuechao Xia

    (School of Economics and Management, Xinjiang University, No.666 Shengli Road, Urumqi 830046, China
    Center for Innovation Management Research of Xinjiang, No.666 Shengli Road, Urumqi 830046, China)

  • Zedong Yang

    (School of Economics and Management, Xinjiang University, No.666 Shengli Road, Urumqi 830046, China
    Center for Innovation Management Research of Xinjiang, No.666 Shengli Road, Urumqi 830046, China)

Abstract

As the largest ecological carbon sequestration systems on the Earth, forests play a significant role in reducing carbon dioxide, and countries around the world are actively expanding their forest areas. However, China’s carbon emissions and forest area have shown an upward trend, which has seriously hindered the implementation of forestry carbon sequestration projects. This paper analyzed the temporal variation, spatial distribution, and deviation degree of the forest area and carbon emissions in China from 2004 to 2020 by using a decoupling model and a coordination model. Firstly, according to the decoupling model, the national carbon emissions and forest area are negatively decoupled. At the provincial level, Beijing, Shanghai, Jiangsu, Guizhou, Yunnan, and Gansu have weak decoupling. Expansive link areas include Shanxi, Henan, Hubei, Ningxia, and Xinjiang. The other 19 provinces show expansive negative decoupling. Secondly, according to the coordination model, national carbon emissions are coordinated to the forest area. Zhejiang, Fujian, Jiangxi, and Guangdong are basically coordinated provinces. More coordinated provinces include Ningxia. The other 25 provinces are coordinated provinces. Finally, according to the comprehensive measurement model, Inner Mongolia, Qinghai, Shaanxi, Hainan, Jilin, Anhui, Liaoning, and Heilongjiang are high-quality expansive negative decoupling provinces. Chongqing, Hunan, Tianjin, Shandong, Hebei, and Guangxi are moderate to strong expansive negative decoupling provinces. This study not only provides a new perspective for analyzing forest carbon sinks, but also provides theoretical guidance for enhancing the natural carbon sink capacity, helping to achieve global carbon peak and carbon neutrality goals.

Suggested Citation

  • Shusen Zhu & Hui Sun & Xuechao Xia & Zedong Yang, 2023. "Decoupling Analysis of Carbon Emissions and Forest Area in China from 2004 to 2020," Land, MDPI, vol. 12(7), pages 1-15, July.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1458-:d:1199458
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/7/1458/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/12/7/1458/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xuechao Xia & Hui Sun & Zedong Yang & Weipeng Yuan & Dianyuan Ma, 2022. "Decoupling Analysis of Rural Population Change and Rural Electricity Consumption Change in China," IJERPH, MDPI, vol. 19(11), pages 1-19, May.
    2. Yang, Fan & Paudel, Krishna P. & Cheng, Rongzhu & Qiu, Lingling & Zhuang, Tianhui & Zeng, Weizhong, 2018. "Acculturation of rural households participating in a clean development mechanism forest carbon sequestration program: A survey of Yi ethnic areas in Liangshan, China," Journal of Forest Economics, Elsevier, vol. 32(C), pages 135-145.
    3. Ba, Feng & Liu, Jinlong & Zhu, Ting & Liu, Yonggong & Zhao, Jiacheng, 2020. "CDM forest carbon sequestration projects in western China: An analysis using actor-centered power theory," Forest Policy and Economics, Elsevier, vol. 115(C).
    Full references (including those not matched with items on IDEAS)

    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. Hui Wang & Jinzhuo Wu & Wenshu Lin & Zhaoping Luan, 2023. "Carbon Footprint Accounting and Influencing Factors Analysis for Forestry Enterprises in the Key State-Owned Forest Region of the Greater Khingan Range, Northeast China," Sustainability, MDPI, vol. 15(11), pages 1-21, May.
    2. Wu Yang & Zhang Min & Mingxing Yang & Jun Yan, 2022. "Exploration of the Implementation of Carbon Neutralization in the Field of Natural Resources under the Background of Sustainable Development—An Overview," IJERPH, MDPI, vol. 19(21), pages 1-28, October.
    3. Yiyuan Rong & Yanping Hou, 2022. "Farmers’ Willingness to Participate in Voluntary Field Water Management Greenhouse Gas Emission Reduction Projects Based on a Context–Attitude–Behavior Framework," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    4. Joyashree Roy & Anjal Prakash & Shreya Some & Chandni Singh & Rachel Bezner Kerr & Martina Angela Caretta & Cecilia Conde & Marta Rivera Ferre & Corinne Schuster-Wallace & Maria Cristina Tirado-von de, 2022. "Synergies and trade-offs between climate change adaptation options and gender equality: a review of the global literature," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-13, December.
    5. Xiaochang Chen & Xiaojun Liu & Zongfu Mao, 2019. "Socio-Cultural Adaptation and Its Related Factors for Chinese Medical Aid Team Members (CMATMs) in Africa," IJERPH, MDPI, vol. 16(17), pages 1-14, August.
    6. Hu, Yuan & Kuhn, Lena & Zheng, Wenxue, 2021. "Promote or Inhibit?the Effects of Forest Carbon Sinks Projects on Agricultural Development: Evidence from Sichuan, China," 2021 Conference, August 17-31, 2021, Virtual 315381, International Association of Agricultural Economists.
    7. Diana Stella Garcia-Miranda & Francisco Santamaria & Cesar Leonardo Trujillo & Herbert Enrique Rojas-Cubides & William Alfonso Riaño, 2024. "Factors Influencing Electricity Consumption in Rural Households," Energies, MDPI, vol. 17(6), pages 1-20, March.
    8. Yaojin Zhou & Yao Shen & Xuexi Yang & Zhifang Wang & Liyan Xu, 2021. "Where to Revitalize, and How? A Rural Typology Zoning for China," Land, MDPI, vol. 10(12), pages 1-21, December.
    9. Le Wen & Krishna P. Paudel & Qinying He, 2022. "Temporary Migration and Savings Rates: Evidence from China," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 34(6), pages 2810-2849, December.
    10. Ba, Feng & Liu, Jinlong & Zhu, Ting & Liu, Yonggong & Zhao, Jiacheng, 2020. "CDM forest carbon sequestration projects in western China: An analysis using actor-centered power theory," Forest Policy and Economics, Elsevier, vol. 115(C).
    11. Lingling Qiu & Weizhong Zeng & Shashi Kant & Sen Wang, 2021. "The Role of Social Capital in Rural Households’ Perceptions toward the Benefits of Forest Carbon Sequestration Projects: Evidence from a Rural Household Survey in Sichuan and Yunnan Provinces, China," Land, MDPI, vol. 10(2), pages 1-16, January.

    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:2023:i:7:p:1458-:d:1199458. 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.