Abstract
With the development of industrialization and urbanization, cities have become the main carriers of economic activities. However, the long-term development of cities has also caused damage to resources and the environment. Hence, objective and scientific evaluation of urban low-carbon sustainable development capacity is very important. An index system of urban low-carbon sustainable development capability is constructed in this paper, and a TOPSIS-BP neural network model is established to evaluate the low-carbon sustainable development capability of Beijing, Shanghai, Shenzhen, and Guangzhou in China. At the same time, the difference degree of low-carbon sustainable development level in these four cities is analyzed by standard deviation and coefficient of variation, and the influencing factors of urban low-carbon sustainable development ability are extracted by grey correlation analysis. The results show that (1) the capability of low-carbon sustainable development in four cities is rising and the difference of low-carbon sustainable development capability is decreasing; (2) the general view that the higher the general investment in low-carbon sustainable development, the higher the level of low-carbon sustainable development in cities has not been verified; (3) with the change of time series, the factors affecting the capability of low-carbon sustainable development in the same city are different and the influence of the same factor on the capability of low-carbon sustainable development in different cities is different.
Highlights
Green development emphasizes the coordination and mutual benefit of economic development, resource utilization, and ecological environment
In terms of research methods, Zhao et al [13] is based on analytic hierarchy process (AHP) and uses data cluster analysis to study China’s regional innovation and development capabilities; Li and Lin [14] used the DEA model to analyze the green growth rate of China’s manufacturing industry; Duan et al [15] based on the AHP-entropy method established an index system to evaluate the development level of Dalian’s lowcarbon economy. e main focus of the abovementioned literature is the sustainable development of the urban ecological environment
Most of these indicators focus on urban green space planning and ecological environment, while there are few studies that take into account economic development, ecological environment, and social development
Summary
Green development emphasizes the coordination and mutual benefit of economic development, resource utilization, and ecological environment. In terms of research methods, Zhao et al [13] is based on analytic hierarchy process (AHP) and uses data cluster analysis to study China’s regional innovation and development capabilities; Li and Lin [14] used the DEA model to analyze the green growth rate of China’s manufacturing industry; Duan et al [15] based on the AHP-entropy method established an index system to evaluate the development level of Dalian’s lowcarbon economy. E four cities of Beijing, Shanghai, Shenzhen, and Guangzhou are relatively at the leading level in terms of comprehensive strength and competitiveness among the cities in mainland China, with a strong economic foundation and strong scientific research capabilities. Erefore, compared with other cities in China, the four cities of Beijing, Shanghai, Shenzhen, and Guangzhou have relatively high urban green development capabilities and levels. Is paper takes Beijing, Shanghai, Shenzhen, and Guangzhou as the research objects and designs an index system for evaluating the level of urban green development. This paper uses the gray correlation analysis method to analyze the factors that affect the level of urban green development and provides references for the green development of other cities
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