[Spatial Correlation Structure and Influencing Mechanism of Development Level of Zero-waste Cities in China].

Q2 Environmental Science 环境科学 Pub Date : 2024-08-08 DOI:10.13227/j.hjkx.202307185
Yu-Xin Gao, Ming Gao
{"title":"[Spatial Correlation Structure and Influencing Mechanism of Development Level of Zero-waste Cities in China].","authors":"Yu-Xin Gao, Ming Gao","doi":"10.13227/j.hjkx.202307185","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":35937,"journal":{"name":"环境科学","volume":"45 8","pages":"4980-4992"},"PeriodicalIF":0.0000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"环境科学","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.13227/j.hjkx.202307185","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Environmental Science","Score":null,"Total":0}
引用次数: 0

Abstract

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.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
[中国零废弃城市发展水平的空间关联结构及影响机制]。
基于熵权TOPSIS法测度2004-2021年中国 "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全国和东中部地区 "零废弃城市 "发展水平总体呈下降趋势,但东部和中部地区呈上升趋势。但西部地区呈上升趋势。"零废弃城市 "发展水平的空间相关性呈现出核心-边缘结构,网络密度总体呈上升趋势,网络总体处于稳定状态; ②"零废弃城市 "发展水平的空间相关性呈现出核心-边缘结构,网络密度总体呈上升趋势,网络总体处于稳定状态。北京、上海、江苏、浙江、福建和广东处于网络的中心和主导地位。北京、天津、上海、江苏属于 "净受益 "板块;浙江、福建、广东属于 "经纪人 "板块;其他省份属于 "净溢出 "板块。城市化水平、经济发展水平、技术创新水平、外商投资水平、环境规制水平、政府干预水平、人口规模分别对当地或周边省份 "零废弃城市 "的发展水平有显著影响。研究结果可为各地区 "零废弃物城市 "建设与协调发展政策的提出提供参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
环境科学
环境科学 Environmental Science-Environmental Science (all)
CiteScore
4.40
自引率
0.00%
发文量
15329
期刊介绍:
期刊最新文献
[Multi-scenario Simulation of Land Use and Carbon Stock Assessment in the Urban Agglomeration Around Taihu Lake Based on PLUS-InVEST-Geodetector Model]. [Changes and Driving Mechanisms of Ecological Vulnerability in Jiangxi Province Based on SRP Model]. [Multi-scenario Simulation and Spatial Optimization of Ecosystem Carbon Storage in Jiangsu Section of Yangtze River Basin]. [Changes of Soil Bacterial Community in the Water-level-fluctuating Zone of Poyang Lake during Seasonal Water Level Fluctuations]. [Characteristics, Ecological Risk Assessment, and Source Apportionment of Soil Heavy Metals in the Zhangbei County of the Plateau of Inner Mongolia].
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1