IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i20p13329-d943523.html
   My bibliography  Save this article

Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China

Author

Listed:
  • Heping Li

    (Faculty of Architecture and Urban Planning, Chongqing University, 400044 Chongqing, China)

  • Tao Lin

    (Faculty of Architecture and Urban Planning, Chongqing University, 400044 Chongqing, China)

Abstract

Human activities are closely related to carbon emissions and the mechanism of land-use structure change on carbon emissions is unclear. In this study, 143 counties in the Sichuan Basin of China were used as sample units, and the land use structure of each sample unit in the Sichuan Basin was measured by applying the information entropy theory, analyzing the spatial and temporal evolutionary characteristics and the influencing relationships of land use structure and carbon emissions in the Sichuan Basin, by spatial econometric analysis of panel data on carbon emissions and information entropy of land use structure over five time periods from 2000 to 2018. The results indicate that: the carbon emission intensity and information entropy of land use in the Sichuan basin are increasing over the years, and the cross-sectional data reflect inconsistent spatial distribution characteristics, with greater changes around large cities; both carbon emissions and land use structure are spatially auto-correlated, the information entropy of land use positively affects carbon emission intensity; carbon emissions have positive spillover effects, and changes in land use structure have no obvious regional impact on surrounding areas; there may be potential threshold areas for the impact of land-use structure change on carbon emissions. This study has certain reference value for land use planning and carbon emission reduction policies.

Suggested Citation

  • Heping Li & Tao Lin, 2022. "Do Land Use Structure Changes Impact Regional Carbon Emissions? A Spatial Econometric Study in Sichuan Basin, China," IJERPH, MDPI, vol. 19(20), pages 1-17, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:20:p:13329-:d:943523
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/20/13329/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/20/13329/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liyuan Fu & Qing Wang, 2022. "Spatial and Temporal Distribution and the Driving Factors of Carbon Emissions from Urban Production Energy Consumption," IJERPH, MDPI, vol. 19(19), pages 1-29, September.
    2. Li Gao & Xin Wen & Yuntong Guo & Tianming Gao & Yi Wang & Lei Shen, 2014. "Spatiotemporal Variability of Carbon Flux from Different Land Use and Land Cover Changes: A Case Study in Hubei Province, China," Energies, MDPI, vol. 7(4), pages 1-19, April.
    3. De Salvo, Maria & Begalli, Diego & Capitello, Roberta & Signorello, Giovanni, 2015. "A spatial micro-econometric approach to estimating climate change impacts on wine firm performance: A case study from Moldavia region, Romania," Agricultural Systems, Elsevier, vol. 141(C), pages 48-57.
    4. Wang, Xiong & Wang, Xiao & Ren, Xiaohang & Wen, Fenghua, 2022. "Can digital financial inclusion affect CO2 emissions of China at the prefecture level? Evidence from a spatial econometric approach," Energy Economics, Elsevier, vol. 109(C).
    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. Zeng, Chen & Yin, Yizhen & Guo, Luyu & Liu, Chenlu & Zhang, Yang & Huang, Zhengxue, 2024. "Integrating the administrative spillover effect into the spatial governance system to revisit land development: A study in urban-rural fringe areas of Wuhan and neighboring cities, China," Land Use Policy, Elsevier, vol. 139(C).
    2. Yishao Shi & Bo Zheng & Zhu Wang & Jianwen Zheng, 2023. "Mixed Land Use and Its Relationship with CO 2 Emissions: A Comparative Analysis Based on Several Typical Development Zones in Shanghai," Land, MDPI, vol. 12(9), pages 1-22, August.
    3. Qixuan Li & Xingli Chen & Sheng Jiao & Wenmei Song & Wenke Zong & Yanhe Niu, 2022. "Can Mixed Land Use Reduce CO 2 Emissions? A Case Study of 268 Chinese Cities," Sustainability, MDPI, vol. 14(22), pages 1-17, November.
    4. Kerong Zhang & Liangyu Jiang & Yanzhi Jin & Wuyi Liu, 2022. "The Carbon Emission Characteristics and Reduction Potential in Developing Areas: Case Study from Anhui Province, China," IJERPH, MDPI, vol. 19(24), pages 1-28, December.
    5. Mingjie Tian & Zhun Chen & Wei Wang & Taizheng Chen & Haiying Cui, 2022. "Land-Use Carbon Emissions in the Yellow River Basin from 2000 to 2020: Spatio-Temporal Patterns and Driving Mechanisms," IJERPH, MDPI, vol. 19(24), pages 1-16, December.

    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. Le Sun & Congmou Zhu & Shaofeng Yuan & Lixia Yang & Shan He & Wuyan Li, 2022. "Exploring the Impact of Digital Inclusive Finance on Agricultural Carbon Emission Performance in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    2. Shunbin Zhong & Huafu Shen & Ziheng Niu & Yang Yu & Lin Pan & Yaojun Fan & Atif Jahanger, 2022. "Moving towards Environmental Sustainability: Can Digital Economy Reduce Environmental Degradation in China?," IJERPH, MDPI, vol. 19(23), pages 1-23, November.
    3. Sumin Hu & Qi Zhu & Xia Zhao & Ziyue Xu, 2023. "Digital Finance and Corporate Sustainability Performance: Promoting or Restricting? Evidence from China’s Listed Companies," Sustainability, MDPI, vol. 15(13), pages 1-16, June.
    4. Ren, Xiaohang & Zeng, Gudian & Zhao, Yang, 2023. "Digital finance and corporate ESG performance: Empirical evidence from listed companies in China," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).
    5. Jingrong Tan & Lin Chen, 2022. "Spatial Effect of Digital Economy on Particulate Matter 2.5 in the Process of Smart Cities: Evidence from Prefecture-Level Cities in China," IJERPH, MDPI, vol. 19(21), pages 1-20, November.
    6. Guan, Lu & Zhao, Chang, 2024. "Exploring the dual role of financial inclusion and mineral resources in elevating sustainable development," Resources Policy, Elsevier, vol. 90(C).
    7. Wang, Xiong & Yang, Wanping & Ren, Xiaohang & Lu, Zudi, 2023. "Can financial inclusion affect energy poverty in China? Evidence from a spatial econometric analysis," International Review of Economics & Finance, Elsevier, vol. 85(C), pages 255-269.
    8. Sun, Xianming & Xiao, Shiyi & Ren, Xiaohang & Xu, Bing, 2023. "Time-varying impact of information and communication technology on carbon emissions," Energy Economics, Elsevier, vol. 118(C).
    9. Pingkuo Liu & Jiahao Wu, 2023. "Game Analysis on Energy Enterprises’ Digital Transformation—Strategic Simulation for Guiding Role, Leading Role and Following Role," Sustainability, MDPI, vol. 15(13), pages 1-33, June.
    10. Chen, Jiamin & Chen, Yuwei, 2024. "Does natural resources rent promote carbon neutrality: The role of digital finance," Resources Policy, Elsevier, vol. 92(C).
    11. Tianqi Rong & Pengyan Zhang & Wenlong Jing & Yu Zhang & Yanyan Li & Dan Yang & Jiaxin Yang & Hao Chang & Linna Ge, 2020. "Carbon Dioxide Emissions and Their Driving Forces of Land Use Change Based on Economic Contributive Coefficient (ECC) and Ecological Support Coefficient (ESC) in the Lower Yellow River Region (1995–20," Energies, MDPI, vol. 13(10), pages 1-18, May.
    12. Asitha De Silva & Dilanthi Amaratunga & Richard Haigh, 2022. "Green and Blue Infrastructure as Nature-Based Better Preparedness Solutions for Disaster Risk Reduction: Key Policy Aspects," Sustainability, MDPI, vol. 14(23), pages 1-26, December.
    13. Yonghua Li & Song Yao & Hezhou Jiang & Huarong Wang & Qinchuan Ran & Xinyun Gao & Xinyi Ding & Dandong Ge, 2022. "Spatial-Temporal Evolution and Prediction of Carbon Storage: An Integrated Framework Based on the MOP–PLUS–InVEST Model and an Applied Case Study in Hangzhou, East China," Land, MDPI, vol. 11(12), pages 1-22, December.
    14. Wang, Zongrun & Zhang, Taiyu & Ren, Xiaohang & Shi, Yukun, 2024. "AI adoption rate and corporate green innovation efficiency: Evidence from Chinese energy companies," Energy Economics, Elsevier, vol. 132(C).
    15. Wang, Zhen & Chu, Erming & Hao, Yukai, 2024. "Towards sustainable development: How does ESG performance promotes corporate green transformation," International Review of Financial Analysis, Elsevier, vol. 91(C).
    16. Honma, Satoshi & Ushifusa, Yoshiaki & Okamura, Soyoka & Vandercamme, Lilu, 2023. "Measuring carbon emissions performance of Japan's metal industry: Energy inputs, agglomeration, and the potential for green recovery reduction," Resources Policy, Elsevier, vol. 82(C).
    17. Bai, Ling & Guo, Tianran & Xu, Wei & Liu, Yaobin & Kuang, Ming & Jiang, Lei, 2023. "Effects of digital economy on carbon emission intensity in Chinese cities: A life-cycle theory and the application of non-linear spatial panel smooth transition threshold model," Energy Policy, Elsevier, vol. 183(C).
    18. Abban, Olivier Joseph & Xing, Yao Hong & Nuţă, Alina Cristina & Nuţă, Florian Marcel & Borah, Prasad Siba & Ofori, Charles & Jing, Yao Jing, 2023. "Policies for carbon-zero targets: Examining the spillover effects of renewable energy and patent applications on environmental quality in Europe," Energy Economics, Elsevier, vol. 126(C).
    19. Ge, Yihan & Yuan, Rong, 2024. "Exploring decoupling relationship between ICT investments and energy consumption in China's provinces: Factors and policy implications," Energy, Elsevier, vol. 286(C).
    20. De Salvo, Maria & Capitello, Roberta & Gaudenzi, Barbara & Begalli, Diego, 2019. "Risk management strategies and residual risk perception in the wine industry: A spatial analysis in Northeast Italy," Land Use Policy, Elsevier, vol. 83(C), pages 47-62.

    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:19:y:2022:i:20:p:13329-:d:943523. 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.