IDEAS home Printed from https://ideas.repec.org/a/gam/jagris/v12y2022i10p1573-d928910.html
   My bibliography  Save this article

Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China

Author

Listed:
  • Guofeng Wang

    (Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Pu Liu

    (Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Jinmiao Hu

    (Faculty of International Trade, Shanxi University of Finance and Economics, Taiyuan 030006, China)

  • Fan Zhang

    (Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Explaining the methane emission pattern of Chinese agriculture and the influencing factors of its spatiotemporal differentiation is of great theoretical and practical significance for carbon neutrality. This paper uses the IPCC coefficient method to measure and analyze the spatial and temporal differentiation characteristics of agricultural methane emission, clarify the dynamic evolution trend of the kernel density function, and reveal the key influencing factors of agricultural methane emission with geographical detectors. The results show that China’s agricultural methane emissions showed a first increasing and then declining trend. Agricultural methane emissions decreased from 21.4587 million tons to 17.6864 million tons, with an upward trend from 2000 to 2005, a significant decline in 2006, a slow change from 2007 to 2015, and a significant decline from 2015 to 2019. In addition, the emissions pattern of the three major grain functional areas is characteristic; in 2019, agricultural methane emissions from main producing area, main sales area, and balance area were 10.8406 million tons, 1.2471 million tons, and 5.599 million tons, respectively. The main grain producing area is the main area of methane emissions, and the emission pattern will not change in the short term. The variability of grain functional areas is the decisive factor for the difference in agricultural methane emissions. The state of industrial structure is the key influencing factor for adjusting the spatial distribution—the explanatory power of the industrial structure to the main producing areas reached 0.549; the level of agricultural development is the most core influencing factor of the spatial pattern of the main grain sales area—the explanatory power reached 0.292; and the level of industrialization and the industrial structure are the core influencing factors of the spatial pattern of the balance area—the explanatory power reached 0.545 and 0.479, respectively.

Suggested Citation

  • Guofeng Wang & Pu Liu & Jinmiao Hu & Fan Zhang, 2022. "Spatiotemporal Patterns and Influencing Factors of Agriculture Methane Emissions in China," Agriculture, MDPI, vol. 12(10), pages 1-17, September.
    • Handle: RePEc:gam:jagris:v:12:y:2022:i:10:p:1573-:d:928910
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2077-0472/12/10/1573/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2077-0472/12/10/1573/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ying Liu & Haiying Tang & Aamer Muhammad & Guoqin Huang, 2019. "Emission mechanism and reduction countermeasures of agricultural greenhouse gases – a review," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 9(2), pages 160-174, April.
    2. John Lynch & Tara Garnett, 2021. "Policy to Reduce Greenhouse Gas Emissions: Is Agricultural Methane a Special Case?," EuroChoices, The Agricultural Economics Society, vol. 20(2), pages 11-17, August.
    3. Mompoloki Seketeme & Othusitse R. Madibela & Thabo Khumoetsile & Innocent Rugoho, 2022. "Ruminant contribution to enteric methane emissions and possible mitigation strategies in the Southern Africa Development Community region," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(7), pages 1-26, October.
    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. Xidong Zhang & Juan Zhang & Chengbo Yang, 2023. "Spatio-Temporal Evolution of Agricultural Carbon Emissions in China, 2000–2020," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    2. Masanori Saito & Etelvino Henrique Novotny & Yinglong Chen, 2023. "Soil Carbon and Microbial Processes in Agriculture Ecosystem," Agriculture, MDPI, vol. 13(9), pages 1-3, September.

    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. Mingxia Shi & Yibo Wang, 2023. "Do Green Transfer Payments Contribute to Carbon Emission Reduction?," Sustainability, MDPI, vol. 15(5), pages 1-18, February.
    2. Adam Wąs & Vitaliy Krupin & Paweł Kobus & Jan Witajewski-Baltvilks & Robert Jeszke & Krystian Szczepański, 2021. "Towards Climate Neutrality in Poland by 2050: Assessment of Policy Implications in the Farm Sector," Energies, MDPI, vol. 14(22), pages 1-25, November.
    3. Mohd Hafiz Ali & Abdullah Adam & Mohd Hafizil Mat Yasin & Mohd Kamal Kamarulzaman & Mohd Fahmi Othman, 2020. "Mitigation of NOx emission by monophenolic antioxidants blended in POME biodiesel blends," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(4), pages 829-839, August.
    4. Tianguo Li & Xiang Li & Yong Liang & Mingrui Li & Ming Jiang & Fangdong Zhan & Yuan Li & Yongmei He, 2020. "Effects of UV‐B radiation on soil carbon conversion and greenhouse gas emission in paddy soil," Greenhouse Gases: Science and Technology, Blackwell Publishing, vol. 10(5), pages 965-979, October.
    5. Tingzhu Li & Debin Du & Xueli Wang & Xionghe Qin, 2022. "Can Nuclear Power Products Mitigate Greenhouse Gas Emissions? Evidence from Global Trade Network," IJERPH, MDPI, vol. 19(13), pages 1-25, June.

    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:jagris:v:12:y:2022:i:10:p:1573-:d:928910. 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.