IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i7p2929-d1368504.html
   My bibliography  Save this article

Time-Space Evolution and Drivers of CO 2 Emissions from Land Utilization in Xinjiang from 2000 to 2020

Author

Listed:
  • Jingye Yang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Akey Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

  • Kenan Li

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Akey Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

  • Yongqiang Liu

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Akey Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

  • Yongfu Zhang

    (College of Geography and Remote Sensing Sciences, Xinjiang University, Urumqi 830046, China
    Akey Laboratory of Oasis Ecology, Xinjiang University, Urumqi 830046, China)

Abstract

One of the key elements influencing carbon emissions is changes in land use, which affects the roles of carbon sources and sinks. We calculated the carbon emissions from land use in Xinjiang, constructed a Geographically and Temporally Weighted Regression model (GTWR), and investigated the spatio-temporal evolutionary trajectory and heterogeneity of carbon emissions based on the land use data of three periods from 2000 to 2020 and the socio-economic and energy data of the same period. The results show the following: ① in Xinjiang, the area of water, forests, grasslands, and idle land declined between 2000 and 2020, while the area of construction and agricultural land increased; ② Xinjiang’s land-use-related carbon emissions are rising annually. The primary driver of this expansion is the region’s growing area of construction land; ③ the degree of economic development, the amount of land used for building, and the degree of urbanization are the primary factors influencing carbon emissions in Xinjiang; and ④ In Xinjiang, there is a clear spatial heterogeneity in the factors that influence carbon emissions. Additionally, different influencing factors have different effects on emissions, depending on the region and stage of development, indicating that the level of resources and the region’s economic center of gravity have different effects on emissions.

Suggested Citation

  • Jingye Yang & Kenan Li & Yongqiang Liu & Yongfu Zhang, 2024. "Time-Space Evolution and Drivers of CO 2 Emissions from Land Utilization in Xinjiang from 2000 to 2020," Sustainability, MDPI, vol. 16(7), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:7:p:2929-:d:1368504
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/7/2929/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/7/2929/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    2. Gingrich, Simone & Kusková, Petra & Steinberger, Julia K., 2011. "Long-term changes in CO2 emissions in Austria and Czechoslovakia--Identifying the drivers of environmental pressures," Energy Policy, Elsevier, vol. 39(2), pages 535-543, February.
    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. Zhaohan Wang & Zijie Zhao & Chengxin Wang, 2021. "Random forest analysis of factors affecting urban carbon emissions in cities within the Yangtze River Economic Belt," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-20, June.
    2. Kangyin Dong & Yalin Han & Yue Dou & Muhammad Shahbaz, 2022. "Moving toward carbon neutrality: Assessing natural gas import security and its impact on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 751-770, August.
    3. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    4. Yanyan Ke & Lu Zhou & Minglei Zhu & Yan Yang & Rui Fan & Xianrui Ma, 2023. "Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    5. Xuankai Deng & Yanhua Yu & Yanfang Liu, 2015. "Effect of Construction Land Expansion on Energy-Related Carbon Emissions: Empirical Analysis of China and Its Provinces from 2001 to 2011," Energies, MDPI, vol. 8(6), pages 1-22, June.
    6. Jun Bai & Shixiang Li & Nan Wang & Jianru Shi & Xianmin Li, 2020. "Spatial Spillover Effect of New Energy Development on Economic Growth in Developing Areas of China—An Empirical Test Based on the Spatial Dubin Model," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    7. Feng, Zhiying & Tang, Wenhu & Niu, Zhewen & Wu, Qinghua, 2018. "Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: A case study in China," Applied Energy, Elsevier, vol. 228(C), pages 1122-1135.
    8. Ramzi Benkraiem & Maria Qureshi & Asif Saeed & Constantin Zopounidis, 2024. "Corporate social responsibility, carbon footprints and stock market valuation," Financial Markets, Institutions & Instruments, John Wiley & Sons, vol. 33(3), pages 213-237, August.
    9. Lars Sorge & Anne Neumann, 2019. "The Impact of Population, Affluence, Technology, and Urbanization on CO2 Emissions across Income Groups," Discussion Papers of DIW Berlin 1812, DIW Berlin, German Institute for Economic Research.
    10. Song Wang & Yuyao Cao & Yifan Wang & Chaoquan Wang, 2024. "The Impact of Innovative and Low-Carbon Pilot Cities on Green Innovation," Sustainability, MDPI, vol. 16(16), pages 1-27, August.
    11. Zou, Chenchen & Ma, Minda & Zhou, Nan & Feng, Wei & You, Kairui & Zhang, Shufan, 2023. "Toward carbon free by 2060: A decarbonization roadmap of operational residential buildings in China," Energy, Elsevier, vol. 277(C).
    12. Yuxue Zhang & Rui Wang & Xingyuan Yang & He Zhang, 2023. "Can China Achieve Its Carbon Emission Peak Target? Empirical Evidence from City-Scale Driving Factors and Emission Reduction Strategies," Land, MDPI, vol. 12(6), pages 1-21, May.
    13. Golusin, Mirjana & Munitlak Ivanovic, Olja, 2011. "Kyoto Protocol implementation in Serbia as precognition of sustainable energetic and economic development," Energy Policy, Elsevier, vol. 39(5), pages 2800-2807, May.
    14. Jia, Hongxiang & Li, Tianjiao & Wang, Anjian & Liu, Guwang & Guo, Xiaoqian, 2021. "Decoupling analysis of economic growth and mineral resources consumption in China from 1992 to 2017: A comparison between tonnage and exergy perspective," Resources Policy, Elsevier, vol. 74(C).
    15. Weibo Zhao & Dongxiao Niu, 2017. "Prediction of CO 2 Emission in China’s Power Generation Industry with Gauss Optimized Cuckoo Search Algorithm and Wavelet Neural Network Based on STIRPAT model with Ridge Regression," Sustainability, MDPI, vol. 9(12), pages 1-15, December.
    16. Xinhai Lu & Bing Kuang & Jing Li & Jing Han & Zuo Zhang, 2018. "Dynamic Evolution of Regional Discrepancies in Carbon Emissions from Agricultural Land Utilization: Evidence from Chinese Provincial Data," Sustainability, MDPI, vol. 10(2), pages 1-13, February.
    17. Liang Liu & Lianshui Li, 2021. "The effect of directed technical change on carbon dioxide emissions: evidence from China’s industrial sector at the provincial level," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(3), pages 2463-2486, July.
    18. Bo Yang & Minhaj Ali & Shujahat Haider Hashmi & Mohsin Shabir, 2020. "Income Inequality and CO 2 Emissions in Developing Countries: The Moderating Role of Financial Instability," Sustainability, MDPI, vol. 12(17), pages 1-24, August.
    19. Sun, Hongye & Kim, Giseung, 2021. "The composite impact of ICT industry on lowering carbon intensity: From the perspective of regional heterogeneity," Technology in Society, Elsevier, vol. 66(C).
    20. Yannan Zhou & Jixia Huang & Mingxiang Huang & Yicheng Lin, 2019. "The Driving Forces of Carbon Dioxide Equivalent Emissions Have Spatial Spillover Effects in Inner Mongolia," IJERPH, MDPI, vol. 16(10), pages 1-14, May.

    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:16:y:2024:i:7:p:2929-:d:1368504. 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.