长三角公众生态环境满意度时空格局及影响因素——基于供给-需求视角的研究

[Objective] Scientifically evaluating and understanding differences in eco-environmental conditions is fundamental for formulating targeted ecological protection and environmental governance policies. Based on geographic big data, conducting an evaluation of eco-environmental satisfaction from a supply-demand perspective can enrich the technical methods for eco-environmental evaluation and provide scientific support for decision-makers. [Methods] Based on big data on public perceptions of eco-environmental satisfaction, this study analyzed the spatiotemporal patterns of eco-environmental satisfaction at the county scale in the Yangtze River Delta region from 2018 to 2020, a satisfaction analysis framework from the supply-demand perspective was established to examine the influence of factors from two dimensions, namely eco-environmental supply conditions and socioeconomic development levels, on satisfaction. [Results] (1) Public eco-environmental satisfaction in the Yangtze River Delta exhibited a spatial pattern of gradual increase from the central to the peripheral regions. From 2018 to 2020, the average annual satisfaction score increased slowly from 80.372 to 81.927, and the improvement in eco-environmental satisfaction was more pronounced in the central region than in the peripheral region. (2) Superior eco-environmental quality generally led to higher levels of satisfaction. Indicators such as the proportion of ecological space and the eco-environmental quality index showed a significant positive correlation with satisfaction. (3) Socioeconomic development enhanced public environmental awareness. Factors such as per capita disposable income and education level exhibited a significant negative correlation with satisfaction. [Conclusion] This study verifies the effectiveness of the supply-demand analysis framework and big data methods in analyzing public environmental perception. Additionally, it points out that improving the eco-environment in territorial space should not only focus on enhancing objective quality indicators but also place greater emphasis on the influence of public subjective perception on eco-environmental satisfaction.