Abstract
At present, China’s economic development has entered a “new normal.” Exploring industrial ecological efficiency (IEE) in the background of economic transformation is of great significance to promote China’s industrial transformation and upgrading and achieving high-quality economic development. Based on the super-efficiency DEA model, this study evaluated the IEE of cities in the Yellow River Basin from 2008 to 2017. Exploratory spatial data analysis methods were used to explore the spatial-temporal evolutionary characteristics, and a panel regression model was established to explore the influencing factors of IEE. The research results showed that the IEE in the Yellow River Basin exhibited an elongated S-shaped evolutionary trend from 2008 to 2017, and the mean IEE of cities presented a trend, whereby Yellow River Basin’s regions could be ranked in the following order: lower reaches > middle reaches > upper reaches. There was significant spatial autocorrelation of the IEE in the Yellow River Basin, and the hot and cold spots showed an obvious “spatial clubs” phenomenon. The results of panel regression show that the influence factors of IEE in the Yellow River Basin showed spatial heterogeneity in their effect.
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Data availability
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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This study was supported by the National Science Foundation of China (Grant No. 41701177).
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All authors contributed to the study conception and design. Methodology, software, and writing/original draft preparation were performed by Chengzhen Song. Conceptualization, methodology, writing/review and editing, and funding acquisition were performed by Guanwen Yin. Data curation and software were performed by Zhilin Lu. Conceptualization, writing/review and editing, methodology, supervision, and funding acquisition were performed by Yanbin Chen. All authors read and approved the final manuscript.
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Song, ., Yin, G., Lu, Z. et al. Industrial ecological efficiency of cities in the Yellow River Basin in the background of China’s economic transformation: spatial-temporal characteristics and influencing factors. Environ Sci Pollut Res 29, 4334–4349 (2022). https://doi.org/10.1007/s11356-021-15964-2
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DOI: https://doi.org/10.1007/s11356-021-15964-2