Abstract
Ecological protection and high-quality development of the Yellow River Basin are major national strategies, and industrial ecology is an effective way to maintain the integrity of important ecosystems, rational resource allocation and take into account the actual situation of the region while ensuring sustained and stable economic growth. Taking the Yellow River Basin as the research area and industrial ecology as the research object, this paper discusses the spatial differences in industrial ecological efficiency and the influencing factors that lead to them, aiming to provide reference for the comparative analysis of regions and the development direction of each region. In this paper, the industrial ecological efficiency of 59 cities and prefectures in the Yellow River Basin in 2001~2020 was calculated by constructing a super-efficient SBM model. The double fixed effect regression model based on Driscoll-Kraay standard error and geographic detector model were used to explore the spatial heterogeneity and driving factors of industrial ecological efficiency in the study area, and how these driving factors affected the spatial distribution of industrial ecological efficiency. The results show that: 1. The spatial differentiation characteristics of industrial ecological efficiency in the study area are significant, showing a spatial pattern of decreasing diffusion from provincial capital cities as high-value points. 2. Technological innovation, environmental control, industrial structure and opening up all have an impact on the improvement of industrial ecological efficiency, and will affect the spatial distribution of industrial ecological efficiency due to its own spatial distribution. 3. The influence of each driving factor on industrial ecological efficiency and spatial heterogeneity is different. 4. The influence of the interaction between factors on industrial ecological efficiency is better than that of single factor.
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