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

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  • 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
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    References listed on IDEAS

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    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).
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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    4. 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.

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