Gao Yu-Xin, Gao Ming
School of Economics and Management, Fuzhou University, Fuzhou 350116, China.
Fujian Green Development Institute, Fuzhou University, Fuzhou 350116, China.
Huan Jing Ke Xue. 2024 Aug 8;45(8):4980-4992. doi: 10.13227/j.hjkx.202307185.
Based on the entropy weight TOPSIS method to measure the development level of "zero-waste cities" in China from 2004 to 2021, the social network analysis method and spatial Durbin model were used to explore the spatial correlation network structure and impact mechanism of the development level of "zero-waste cities." The results showed that： ① The development level of "zero-waste cities" was generally on the decline in the whole country and the eastern and central regions. However, it was on the rise in the western regions. ② The spatial correlation of the development level of "zero-waste cities" presented a core-edge structure, with an overall upward trend in network density and a stable state in the overall network. ③ Beijing, Shanghai, Jiangsu, Zhejiang, Fujian, and Guangdong were at the center and dominant position of the network. ④ Beijing, Tianjin, Shanghai, and Jiangsu belonged to the "net benefit" sector； Zhejiang, Fujian, and Guangdong belonged to the "broker" sector； and the other provinces belonged to the "net overflow" sectors. ⑤ The level of urbanization, economic development, technological innovation, foreign investment, environmental regulations, government intervention, and population size had a significant impact on the development level of "zero-waste cities" in local or neighboring provinces, respectively. The research results can provide a reference for the proposal of policies for constructing and coordinating the development of "zero-waste cities" in various regions.
基于熵权TOPSIS法测度2004—2021年中国“无废城市”发展水平，并运用社会网络分析方法和空间杜宾模型探究“无废城市”发展水平的空间关联网络结构及影响机制。结果表明：①全国及东部、中部地区“无废城市”发展水平总体呈下降趋势，西部地区呈上升趋势。②“无废城市”发展水平的空间关联呈现核心—边缘结构，网络密度整体呈上升趋势，整体网络处于稳定状态。③北京、上海、江苏、浙江、福建和广东处于网络中心和主导地位。④北京、天津、上海和江苏属于“净效益”板块；浙江福建和广东属于“经纪”板块；其他省份属于“净溢出”板块。⑤城市化水平、经济发展、技术创新、外商投资、环境规制、政府干预和人口规模分别对本地或相邻省份“无废城市”发展水平产生显著影响。研究结果可为各地区构建与协同发展“无废城市”政策的提出提供参考。
