School of Forestry, Jiangxi Agricultural University, Nanchang 330045, China.
Chongqing Key Laboratory of Precision Optics, Chongqing Institute of East China Normal University, Chongqing 401120, China.
Int J Environ Res Public Health. 2022 Mar 3;19(5):2976. doi: 10.3390/ijerph19052976.
Carbon emissions (CEs) are one of the most important factors causing global warming. The development of social economy and the acceleration of the urbanization process leads to increasing CEs, especially in China. Therefore, it has become an international community consensus to control the growth of CEs and mitigate global warming. Understanding the changing patterns and driving forces of CEs are important prerequisites for formulating policies that target the reduction of CEs in response to global warming. This study developed an improved logarithmic mean Divisia index (Spatial-LMDI) to explore the urban form and socio-economic driving forces of CEs in China. Comparing with previous studies, this study is unique in the way of applying spatial landscape index to LMDI decomposition analysis. The results show that population, per capita GDP, investment intensity and urban expansion are the top driving forces of CEs growth from 1995 to 2019. Investment efficiency, technology level, and aggregation are the most important factors in terms of restraining the growth of CEs. To achieve the goal of energy saving, CEs reduction and climate change mitigation, we proposed that strategies should be formulated as follows: improving efficiency of energy investment, optimizing the spatial distribution of construction land aggregation, and rationalizing distribution of industries.
碳排放是导致全球变暖的最重要因素之一。社会经济的发展和城市化进程的加速导致碳排放不断增加,尤其是在中国。因此,控制碳排放增长和缓解全球变暖已成为国际社会的共识。了解碳排放变化的模式和驱动因素是制定针对全球变暖的减排政策的重要前提。本研究采用改进的对数平均迪氏指数法(空间-LMDI),探讨了中国城市形态和社会经济驱动因素对碳排放的影响。与以往研究相比,本研究的独特之处在于将空间景观指数应用于 LMDI 分解分析。结果表明,人口、人均 GDP、投资强度和城市扩张是 1995 年至 2019 年碳排放增长的主要驱动因素。投资效率、技术水平和集聚是抑制碳排放增长的最重要因素。为了实现节能、减排和应对气候变化的目标,我们提出应制定以下策略:提高能源投资效率、优化建设用地集聚的空间分布、合理配置产业。