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.
Highlights
Since China’s economic reform and opening up, it has relied on the traditional extensive industrial development pattern of “high resource input, high energy consumption, and high pollution emissions,”enabling the economy to achieve high-speed growth in a short period of time (Wang et al 2016)
In order to ensure the continuity of the region and learn from the definition of the Yellow River Basin in the study of physical geography and social economy by relevant scholars (Zhang &Miao 2020), we considered that Sichuan province belongs to the Yangtze River Basin, and the East Four Leagues of Inner Mongolia belong to Northeast
Et al 2009, Tong et al 2020), combined with the industrial development status of various regions in the Yellow River Basin, the industrial power consumption and industrial wastewater discharge were taken as the input index of resource consumption, the industrial SO2 emission and industrial dust emission were taken as the input index of environmental pollution, and the total industrial output value was taken as the output index
Summary
Since China’s economic reform and opening up, it has relied on the traditional extensive industrial development pattern of “high resource input, high energy consumption, and high pollution emissions,”. IEE can take into account the relationship between industrial economic material exchange and energy conversion and comprehensively evaluates the overall status of industrial economy, energy consumption, and environmental benefits It is of great significance for transforming the traditional industrial development model, promoting green industrial development, and supporting the construction of an ecological civilization in China. It is of great significance to explore the impact mechanism of IEE in the background of economic transformation to promote the ecological environment protection and high-quality development in the Yellow River Basin. On this basis, this study used the Super-Efficiency DEA model to measure the IEE of the Yellow.
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