Faculty of Architecture and Urban Planning, Chongqing University, 400044 Chongqing, China.
Int J Environ Res Public Health. 2022 Oct 15;19(20):13329. doi: 10.3390/ijerph192013329.
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.
人类活动与碳排放密切相关，土地利用结构变化对碳排放的作用机制尚不清楚。本研究以中国四川盆地的 143 个县为样本单元，运用信息熵理论测度各样本单元的土地利用结构，通过对 2000-2018 年五个时期碳排放和土地利用结构信息熵的面板数据进行空间计量分析，揭示四川盆地土地利用结构与碳排放的时空演化特征及其影响关系。结果表明：四川盆地碳排放强度和土地利用信息熵逐年增加，且截面数据反映出不一致的空间分布特征，大城市周边变化较大；碳排放和土地利用结构均具有空间自相关性，土地利用信息熵正向影响碳排放强度；碳排放具有正向溢出效应，土地利用结构变化对周边地区没有明显的区域影响；土地利用结构变化对碳排放的影响可能存在潜在的门槛区间。本研究对土地利用规划和碳排放减排政策具有一定的参考价值。
