IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7730-d1142204.html
   My bibliography  Save this article

Assessing the Spatio-Temporal Dynamics of Land Use Carbon Emissions and Multiple Driving Factors in the Guanzhong Area of Shaanxi Province

Author

Listed:
  • Yali Wang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China
    College of Innovation and Experiment, Northwest A&F University, Yangling 712100, China
    Co-First Author: Yali Wang and Yangyang Liu.)

  • Yangyang Liu

    (College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China
    Co-First Author: Yali Wang and Yangyang Liu.)

  • Zijun Wang

    (College of Water Resources and Architectural Engineering, Northwest A&F University, Yangling 712100, China)

  • Yan Zhang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Bo Fang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

  • Shengnan Jiang

    (Wujinglian School of Economics, Changzhou University, Changzhou 213000, China)

  • Yijia Yang

    (Institute of Management Engineering, Qingdao University of Technology, Qingdao 266525, China)

  • Zhongming Wen

    (College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China)

  • Wei Zhang

    (College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China)

  • Zhixin Zhang

    (College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China)

  • Ziqi Lin

    (College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China)

  • Peidong Han

    (College of Grassland Agriculture, Northwest A&F University, Yangling 712100, China)

  • Wenjie Yang

    (College of Economics and Management, Northwest A&F University, Yangling 712100, China)

Abstract

Land use change is one of the key elements leading to carbon emission changes, and is of great significance to the process of achieving the goals of carbon peaking and carbon neutrality. In this study, we calculated the land-use carbon emissions (LCE) in the Guanzhong area (GZA) of Shaanxi province from 2000 to 2019 by using an improved LCE measurement model. Meanwhile, the spatial and temporal changes of LCE were analyzed and the driving forces were investigated based on the correlation analysis and multi-scale geographical weighting regression (MGWR). The results showed that the total amount of LCE showed a significant increasing trend from 2000 to 2019. Regions where the LCE significantly increased occupied 71.20% of the total area; these regions were distributed in the central and eastern parts of the study area. The LCE showed a significant positive spatial correlation and had a remarkable aggregation state. The H-H agglomeration area of LCE was distributed in the central urban agglomeration. The L-L agglomeration areas were always distributed in the southwest part of the GZA with low carbon emissions. The average correlation coefficients between LCE and nighttime light (NTL), population density (PD), and gross primary productivity (GPP) were 0.13, 0.21, and −0.05, respectively. The NLT and PD had obvious positive effects on LCE, while GPP has obvious negative effects on carbon emissions, which can be ascribed to the carbon sink effect of forests and grasslands. The results of this study have important reference value regarding the formulation of carbon emission reduction policies and the development of a low-carbon social economy.

Suggested Citation

  • Yali Wang & Yangyang Liu & Zijun Wang & Yan Zhang & Bo Fang & Shengnan Jiang & Yijia Yang & Zhongming Wen & Wei Zhang & Zhixin Zhang & Ziqi Lin & Peidong Han & Wenjie Yang, 2023. "Assessing the Spatio-Temporal Dynamics of Land Use Carbon Emissions and Multiple Driving Factors in the Guanzhong Area of Shaanxi Province," Sustainability, MDPI, vol. 15(9), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7730-:d:1142204
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7730/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7730/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhao, Jincai & Ji, Guangxing & Yue, YanLin & Lai, Zhizhu & Chen, Yulong & Yang, Dongyang & Yang, Xu & Wang, Zheng, 2019. "Spatio-temporal dynamics of urban residential CO2 emissions and their driving forces in China using the integrated two nighttime light datasets," Applied Energy, Elsevier, vol. 235(C), pages 612-624.
    2. Fang, Guochang & Gao, Zhengye & Tian, Lixin & Fu, Min, 2022. "What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data," Applied Energy, Elsevier, vol. 312(C).
    3. Zhang, Daojun & Yang, Wanjing & Kang, Dingrong & Zhang, Han, 2023. "Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region," Land Use Policy, Elsevier, vol. 125(C).
    4. Liu, Liwei & Zong, Haijing & Zhao, Erdong & Chen, Chuxiang & Wang, Jianzhou, 2014. "Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development," Applied Energy, Elsevier, vol. 124(C), pages 199-212.
    5. Jiang, Wei & Sun, Yifei, 2023. "Which is the more important factor of carbon emission, coal consumption or industrial structure?," Energy Policy, Elsevier, vol. 176(C).
    6. Liang, Xiaoying & Min Fan, & Xiao, Yuting & Yao, Jing, 2022. "Temporal-spatial characteristics of energy-based carbon dioxide emissions and driving factors during 2004–2019, China," Energy, Elsevier, vol. 261(PA).
    7. Xiang, Yitian & Cui, Haotian & Bi, Yunxiao, 2023. "The impact and channel effects of banking competition and government intervention on carbon emissions: Evidence from China," Energy Policy, Elsevier, vol. 175(C).
    8. Jahanger, Atif & Usman, Muhammad & Murshed, Muntasir & Mahmood, Haider & Balsalobre-Lorente, Daniel, 2022. "The linkages between natural resources, human capital, globalization, economic growth, financial development, and ecological footprint: The moderating role of technological innovations," Resources Policy, Elsevier, vol. 76(C).
    9. Sinha, Sanjiv K. & Padalia, Hitendra & Patel, N.R. & Chauhan, Prakash, 2021. "Modelling sun-induced fluorescence for improved evaluation of forest carbon flux (GPP): Case study of tropical deciduous forest, India," Ecological Modelling, Elsevier, vol. 449(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. Pin Chen & Xiyue Wang & Zexia Yang & Changfeng Shi, 2024. "Research on Spatial Heterogeneity, Impact Mechanism, and Carbon Peak Prediction of Carbon Emissions in the Yangtze River Delta Urban Agglomeration," Energies, MDPI, vol. 17(23), pages 1-20, November.
    2. Hui Tian & Jiaqi Qin & Chaoyin Cheng & Sohail Ahmad Javeed & Tiansi Chu, 2024. "Towards low‐carbon sustainable development under Industry 4.0: The influence of industrial intelligence on China's carbon mitigation," Sustainable Development, John Wiley & Sons, Ltd., vol. 32(1), pages 455-480, February.
    3. Wei Wei & Haibo Du & Libang Ma & Chunfang Liu & Junju Zhou, 2024. "Spatiotemporal dynamics of CO2 emissions using nighttime light data: a comparative analysis between the Yellow and Yangtze River Basins in China," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(1), pages 1081-1102, January.
    4. Shuang Guo & Xiaodong Yan, 2025. "Investigation of Industrial Structure Upgrading, Energy Consumption Transition, and Carbon Emissions: Evidence from the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 17(10), pages 1-30, May.
    5. Chen, Huadun & Du, Qianxi & Huo, Tengfei & Liu, Peiran & Cai, Weiguang & Liu, Bingsheng, 2023. "Spatiotemporal patterns and driving mechanism of carbon emissions in China's urban residential building sector," Energy, Elsevier, vol. 263(PE).
    6. Huang, Haiping & Huang, Baolian & Sun, Aijun, 2023. "How do mineral resources influence eco-sustainability in China? Dynamic role of renewable energy and green finance," Resources Policy, Elsevier, vol. 85(PA).
    7. Ullah, Sami & Lin, Boqiang, 2024. "Harnessing the synergistic impacts of financial structure, industrialization, and ecological footprint through the lens of the EKC hypothesis. Insights from Pakistan," Energy, Elsevier, vol. 307(C).
    8. Li, Xi & Yu, Biying, 2019. "Peaking CO2 emissions for China's urban passenger transport sector," Energy Policy, Elsevier, vol. 133(C).
    9. Fatema Fauze Moh Ben Abd Alah & Opeoluwa Seun Ojekemi, 2025. "Quantile Analysis of Economic Growth, Foreign Direct Investment, and Renewable Energy on CO 2 Emissions in Brazil: Insights for Sustainable Development," Energies, MDPI, vol. 18(9), pages 1-18, April.
    10. Xindong Wang & Chun Yan & Wei Liu & Xinhong Liu, 2022. "Research on Carbon Emissions Prediction Model of Thermal Power Plant Based on SSA-LSTM Algorithm with Boiler Feed Water Influencing Factors," Sustainability, MDPI, vol. 14(23), pages 1-26, November.
    11. Chen, Lu & Li, Xin & Liu, Wei & Kang, Xinyu & Zhao, Yifei & Wang, Minxi, 2024. "System dynamics-multiple the objective optimization model for the coordinated development of urban economy-energy-carbon system," Applied Energy, Elsevier, vol. 371(C).
    12. Muhammad Usman & Atif Jahanger & Magdalena Radulescu & Daniel Balsalobre-Lorente, 2022. "Do Nuclear Energy, Renewable Energy, and Environmental-Related Technologies Asymmetrically Reduce Ecological Footprint? Evidence from Pakistan," Energies, MDPI, vol. 15(9), pages 1-24, May.
    13. Shang, Hua & Jiang, Li & Di, Yuhang, 2024. "Spatial connection strength and endogenous and exogenous interactive driving factors of carbon efficiency in China's metropolitan areas with higher energy consumption," Energy, Elsevier, vol. 311(C).
    14. Ansari, Mohd Arshad, 2022. "Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    15. Wei-Ling Hsu & Zhicheng Zhuang & Cheng Li & Jie Zhao, 2025. "Optimization of Land Use Patterns in a Typical Coal Resource-Based City Based on the Ecosystem Service Relationships of ‘Food–Carbon–Recreation’," Land, MDPI, vol. 14(3), pages 1-19, March.
    16. Qiu, Zhaoxuan & Li, Jincheng & Liu, Bei & Jin, Meilin & Wang, Jinmin, 2025. "How does energy quota trading affect the corporate pollution gap? Evidence from China," Economic Modelling, Elsevier, vol. 146(C).
    17. Atif Jahanger & Muhammad Usman & Daniel Balsalobre‐Lorente, 2022. "Linking institutional quality to environmental sustainability," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(6), pages 1749-1765, December.
    18. Liu, Yang & Wang, Jianda & Dong, Kangyin & Taghizadeh-Hesary, Farhad, 2023. "How does natural resource abundance affect green total factor productivity in the era of green finance? Global evidence," Resources Policy, Elsevier, vol. 81(C).
    19. Appiah, Michael & Li, Mingxing & Sehrish, Saba & Abaji, Emad Eddin, 2023. "Investigating the connections between innovation, natural resource extraction, and environmental pollution in OECD nations; examining the role of capital formation," Resources Policy, Elsevier, vol. 81(C).
    20. Yongxing Li & Wei Guo & Peixian Li & Xuesheng Zhao & Jinke Liu, 2023. "Exploring the Spatiotemporal Dynamics of CO 2 Emissions through a Combination of Nighttime Light and MODIS NDVI Data," Sustainability, MDPI, vol. 15(17), pages 1-17, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:15:y:2023:i:9:p:7730-:d:1142204. 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.