School of Ethnology and Sociology, Guangxi University for Nationalities, Nanning, 530006, China.
School of Economics, Guangxi University for Nationalities, Nanning, 530006, China.
Sci Rep. 2023 Apr 5;13(1):5606. doi: 10.1038/s41598-023-32803-1.
Agglomeration of the industry significantly impacts economic performance and environmental sustainability. In line with its strategic context of striving to achieve carbon reduction targets, China is making efforts to optimize the producer services landscape to reduce carbon emissions. Understanding the spatial correlation between industrial agglomeration and carbon emissions is particularly crucial against this background. Based on POI and remote sensing data of China's Yangtze River Economic Belt (YREB), the paper adopts the mean nearest neighbor analysis, kernel density analysis, and standard deviation ellipse to portray the agglomeration of producer services. Then uses Moran's I to present the spatial distribution characteristics of carbon emissions. Accordingly, the spatial heterogeneity of producer services agglomeration and carbon emissions is showed using the Geographic detector so as to provide strong support for industrial structure optimization and sustainable development. Here are some of the conclusions drawn from the study: (1) Producer services are a significant state of agglomeration in the provincial capitals and some central cities, with similar agglomeration patterns. (2) Carbon emissions exhibits significant spatial aggregation characteristics, with the spatial distribution pattern of "High west-Low east". (3) Wholesale and retail services industry is the primary risk factor that causes spatial differentiation of carbon emission intensity, "leasing and business services industry-wholesale and retail services industry" is the key interaction factor of the spatial differentiation. (4) Carbon emissions shows a downward trend followed by an upward trend as producer services agglomeration increases.
产业集聚显著影响经济绩效和环境可持续性。为了实现碳减排目标，中国正在努力优化生产性服务业格局以减少碳排放，这符合其战略背景。在这种背景下，了解产业集聚与碳排放之间的空间相关性尤为重要。本文基于中国长江经济带（YREB）的 POI 和遥感数据，采用均值最近邻分析、核密度分析和标准差椭圆来描绘生产性服务业的集聚。然后，使用 Moran's I 来呈现碳排放的空间分布特征。据此，利用地理探测器展示生产性服务业集聚和碳排放的空间异质性，为产业结构优化和可持续发展提供有力支持。本研究得出以下结论：（1）生产性服务业在省会城市和一些中心城市具有显著的集聚状态，具有相似的集聚模式。（2）碳排放具有显著的空间集聚特征，空间分布格局呈现“西高东低”。（3）批发和零售业是导致碳排放强度空间差异的主要风险因素，“租赁和商务服务业-批发和零售业”是空间差异的关键交互因素。（4）随着生产性服务业集聚的增加，碳排放呈现出先下降后上升的趋势。
