Abstract
Green development is crucial for promoting high-quality and sustainable economic and social development. In China, green development is key to achieving the national goals of building a beautiful China and rejuvenating the nation. In this study, we employed a slacks-based measure data envelopment analysis method to calculate the green development efficiency value of panel data from Anhui Province, China, from 2005 to 2020. Moreover, the Malmquist Index was used to dynamically analyze the green total-factor productivity and decomposition index of 16 cities in Anhui Province. Exploratory spatial data analysis was used to measure the spatial relationship of the green development efficiency value for each province in Anhui Province. Then, we established the spatial lag model according to the spatial correlation and perform a comprehensive analysis of the impact and spillover effects. The results show that: The overall green development efficiency of all urban areas in Anhui Province showed a fluctuating trend, but most cities exhibiting medium of higher green development efficiency.Various cities exhibited spatial aggregation, with high, high, and low values of green development efficiency.The industrial structure, digital economy development, and the urbanization level showed relatively significant positive correlations with the regional economic development level, whereas the energy structure and level of opening up showed a significant negative correlation.The influence of environment management and scientific and technological development was not significant.the industrial structure, and the urbanization rate showed positive effects on local green development but negative spillover effects on surrounding areas, whereas the energy structure, relative economic development, and level of opening up produced positive spillover effects.
Highlights
Since the 18th National Congress of the Chinese Communist Party, China has been exploring ways to combine economic development with environmental protection in ecological progress, focusing on green development as a core principle of ecological progress
Super slacks-based measure (SBM)-DEA Model DEA is a comprehensive method for multi-input and multioutput evaluation, which can evaluate the relative efficiency evaluation of multiple decision making units (DMUs) with multiple inputs and outputs without quantitative normalization of data
Each city is regarded as a DMU, and the input–output index data of Anhui Province from 2005 to 2020 were selected to measure the comprehensive green development level of each city
Summary
Since the 18th National Congress of the Chinese Communist Party, China has been exploring ways to combine economic development with environmental protection in ecological progress, focusing on green development as a core principle of ecological progress. The concept of green development includes the new concept of innovative, coordinated, green, open, and shared development, and is the key premise of sustainable development (Shahzad et al, 2021). Sustainable Development and Spatial Effects ecological and green development, constructing a new scientific development engine, promoting the development of a green economy, and transforming ecological benefits into economic benefits (Song et al, 2022). Green and sustainable development requires the effective integration of economic development with the ecological environment. Green development is key to achieving ecological civilization and is a prerequisite for economic and social development. As China enters the 14th stage of its Five-Year Plan in 2021, there is a broad consensus to promote a new and green style of development (Xia et al, 2022)
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