School of Marxism, China University of Geosciences, Wuhan 430074, China.
School of Public Administration, China University of Geosciences, Wuhan 430074, China.
Int J Environ Res Public Health. 2023 Jan 17;20(3):1707. doi: 10.3390/ijerph20031707.
Evaluating the level of green development is of great significance to better implement the concept of green development. By constructing an evaluation index system for green development, this paper comprehensively uses the entropy weight Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method and coefficient of variation method to evaluate the green development level of 30 provinces in China from 2010 to 2019 and analyzes the regional differences of green development in China. The research findings are as follows: First, the level of green development in China is low but shows a slow rise trend, from 2010 to 2019; China's green development level rises from 0.274 to 0.317, an increase of 15.7%. Secondly, regional differences of green development in China are obvious, with the level ranking from high to low as eastern, western, and central regions. Third, regional differences in China's green development first widen and then narrow, with the variation coefficient of green development in 30 provinces and eastern, central, and western regions of China showing an inverted U-shaped trend of first increasing and then decreasing. Fourth, the regional difference of green development in eastern China is largest, followed by western China, and the smallest is central China. Finally, based on research findings, relevant policy recommendations are put forward.
评价绿色发展水平对更好地落实绿色发展理念具有重要意义。本文构建了绿色发展评价指标体系,运用熵权 TOPSIS 法和变异系数法对 2010—2019 年中国 30 个省份的绿色发展水平进行了综合评价,并分析了中国绿色发展的区域差异。研究结果表明:①中国绿色发展水平整体偏低,但呈缓慢上升趋势,由 2010 年的 0.274 上升至 2019 年的 0.317,增长了 15.7%。②中国绿色发展水平的区域差异显著,东部、西部和中部地区的绿色发展水平依次递减。③中国绿色发展的区域差异先扩大后缩小,30 个省份和东、中、西部地区绿色发展的变异系数均呈现先增大后减小的倒“U”型趋势。④东部地区绿色发展的区域差异最大,西部地区次之,中部地区最小。最后,基于研究结果,提出了相关政策建议。