基于熵权TOPSIS法测度2004-2021年我国"零废弃城市"发展水平,运用社会网络分析方法和空间杜宾模型,探讨"零废弃城市"发展水平的空间关联网络结构和影响机制。结果表明:①全国及东中部地区“零垃圾城市”发展水平总体呈下降趋势。然而,它在西部地区呈上升趋势。②“零浪费城市”发展水平的空间相关性呈现核心-边缘结构,网络密度总体呈上升趋势,整体网络状态稳定。③北京,上海,江苏,浙江,福建,广东处于网络的中心和主导地位。④北京,天津,上海,江苏属于“净受益”板块;浙江,福建,广东属于“券商”行业;其他省份属于“净溢”行业。⑤城市化水平,经济发展,技术创新,外国投资,环境法规,政府干预,和人口规模对当地或邻近省份的“零废物城市”的发展水平产生了重大影响,分别。研究结果可为各地构建和协调发展"零垃圾城市"的政策建议提供参考。
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.