School of Civil Engineering & Mechanics, Yanshan University, Qinhuangdao 066004, China.
School of Civil Engineering & Mechanics, Yanshan University, Qinhuangdao 066004, China.
Sci Total Environ. 2023 Aug 20;887:164109. doi: 10.1016/j.scitotenv.2023.164109. Epub 2023 May 12.
In response to the threat of rapidly rising carbon emissions, a variety of measures are being implemented to achieve carbon reduction. Resilience construction offers a fresh approach to improving the regional anti-interference ability to cope with various risks, and it is worth considering its impact on carbon emissions. The objective of this study is to investigate the spatio-temporal impacts of resilience construction (RCI) on carbon intensity (CI) in 30 Chinese provinces from 2010 to 2019. The relation pattern between RCI and CI is thoroughly examined after developing a hybrid model by integrating gray correlation analysis (GRA) and coupled coordination degree (CCD). Using the GTWR model, the coefficients reveal the spatio-temporal pattern of the influence of each variable on CI. Furthermore, this study pioneeringly blends GTWR regression results with the K-Means approach to identify areas with homogeneity and heterogeneity of the pattern. Firstly, the findings indicate that there is a significant link between CI and all dimensions -economic resilience (R), social resilience (R), and ecological resilience (R). The relation between R and CI is the greatest, although it has been declining recently while relations of R, R, and CI have all been steadily rising. Secondly, according to the results of CCD, resilience construction and carbon reduction are progressively reaching orderly development but there are still some provinces at low levels of CCD. Thirdly, the study area is divided into four clusters, and the structure of spatial grouping tends to become stable. Moreover, we analyze each cluster's features and suggest appropriate policy measures. The findings aid in the scientific planning of the direction of resilience construction with the goal of collaborative management of carbon emissions.
针对碳排放迅速上升的威胁，正在实施各种措施来实现减排。韧性建设为提高区域抗干扰能力以应对各种风险提供了一种新方法，值得考虑其对碳排放的影响。本研究旨在调查韧性建设（RCI）对 2010 年至 2019 年中国 30 个省份碳强度（CI）的时空影响。通过整合灰色关联分析（GRA）和耦合协调度（CCD）构建混合模型，深入研究了 RCI 和 CI 之间的关系模式。利用 GTWR 模型，系数揭示了每个变量对 CI 的影响的时空模式。此外，本研究开创性地将 GTWR 回归结果与 K-Means 方法相结合，以识别模式同质性和异质性的区域。首先，研究结果表明，CI 与所有维度（经济韧性（R）、社会韧性（R）和生态韧性（R））之间存在显著联系。R 与 CI 之间的关系最大，尽管近年来有所下降，而 R、R 和 CI 之间的关系都在稳步上升。其次，根据 CCD 的结果，韧性建设和碳减排正在逐步达到有序发展，但仍有一些省份处于 CCD 较低水平。第三，研究区域分为四个聚类，空间分组结构趋于稳定。此外，我们分析了每个聚类的特征并提出了适当的政策措施。研究结果有助于科学规划韧性建设的方向，以实现碳排放的协同管理。
