• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于水平和效率双重视角的绿色发展绩效评价——以中国长江经济带为例。

Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.

机构信息

School of Business, Hubei University, Wuhan 430062, China.

Center for Tourism Development and Management Studies of Hubei, Wuhan 430062, China.

出版信息

Int J Environ Res Public Health. 2022 Jul 29;19(15):9306. doi: 10.3390/ijerph19159306.

DOI:10.3390/ijerph19159306
PMID:35954660
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9368428/
Abstract

In the context of continuing to promote the construction of an ecological civilization, it is of great significance to explore green development performance. However, most of the literature is based on a single perspective of level or efficiency, lacking a comprehensive examination of both. It is not scientific to explore how to promote green development only from a single perspective, which may be a new advancement by breaking the conventional thinking focusing only on level or efficiency. On this basis, we first established evaluation index systems of green development performance based on a theoretical framework. Furthermore, green development performance was measured with the entropy weight technique for order preference by similarity to ideal solution (TOPSIS) and super-EBM models, and finally, we analyzed the spatial and temporal evolution patterns of green development performance using the ESDA method and examined its influencing factors with a geographic detector (GD) and econometric models. The main results were as follows: (1) The trend of the green development level in the Yangtze River Economic Belt from 2004 to 2017 had an inverted "N" shape, while the overall average green development efficiency continuously increased. (2) In terms of spatial and temporal patterns, both the green development level and green development efficiency showed "high in the east and low in the west" spatial divergence characteristics. In terms of the spatial and temporal evolution pattern of the green development level, the L-L clusters were mainly distributed in the western region. However, for green development efficiency, the L-L clusters were mostly distributed around the H-H clusters. (3) The results of the influencing factor analysis indicated that industrial structure and people's welfare are still important factors of the green development level. The improvement of green development efficiency was mainly driven by economic development, and the inhibiting effect of energy consumption is significant. In addition, the effect of opening up has not yet changed from a "pollution paradise" to a "pollution halo".

摘要

在持续推进生态文明建设的背景下,探究绿色发展绩效具有重要意义。然而,大多数文献仅从水平或效率的单一视角展开,缺乏对两者的综合考察。仅从单一视角探讨如何促进绿色发展是不科学的,这可能是突破传统思维,关注水平或效率的新进展。在此基础上,我们首先基于理论框架构建了绿色发展绩效评价指标体系,采用熵权 TOPSIS 法和超效率 EBM 模型测算了绿色发展绩效,并运用 ESDA 方法分析了绿色发展绩效的时空演变格局,利用地理探测器(GD)和计量经济模型检验了其影响因素。主要结果如下:(1)2004—2017 年长江经济带绿色发展水平呈倒“N”型趋势,整体平均绿色发展效率不断提高。(2)从时空格局来看,绿色发展水平和绿色发展效率均呈现“东高西低”的空间分异特征。绿色发展水平的时空演化格局呈 L-L 集聚,主要分布在西部地区;绿色发展效率则呈 L-H 集聚,且围绕 H-H 集聚分布。(3)影响因素分析结果表明,产业结构和人民福利仍然是绿色发展水平的重要因素。绿色发展效率的提高主要受经济发展驱动,能源消耗的抑制作用显著。此外,对外开放的作用尚未从“污染天堂”转变为“污染光环”。

相似文献

1
Green Development Performance Evaluation Based on Dual Perspectives of Level and Efficiency: A Case Study of the Yangtze River Economic Belt, China.基于水平和效率双重视角的绿色发展绩效评价——以中国长江经济带为例。
Int J Environ Res Public Health. 2022 Jul 29;19(15):9306. doi: 10.3390/ijerph19159306.
2
Study on the measurement of industrial eco-efficiency, spatial distribution and influencing factors in Yangtze River Economic Belt.长江经济带工业生态效率测度、空间分异及影响因素研究。
PLoS One. 2023 Apr 7;18(4):e0283964. doi: 10.1371/journal.pone.0283964. eCollection 2023.
3
Research on the spatiotemporal evolution and influencing factors of green economic efficiency in the Yangtze River Economic Belt.长江经济带绿色经济效率的时空演变及影响因素研究。
Environ Sci Pollut Res Int. 2022 Sep;29(45):68257-68268. doi: 10.1007/s11356-022-20542-1. Epub 2022 May 10.
4
Spatial and Temporal Evolution Analysis of Industrial Green Technology Innovation Efficiency in the Yangtze River Economic Belt.长江经济带工业绿色技术创新效率的时空演化分析。
Int J Environ Res Public Health. 2022 May 24;19(11):6361. doi: 10.3390/ijerph19116361.
5
Green Total-Factor Energy Efficiency of Construction Industry and Its Driving Factors: Spatial-Temporal Heterogeneity of Yangtze River Economic Belt in China.中国长江经济带建筑业全要素能源效率及其驱动因素的时空分异。
Int J Environ Res Public Health. 2022 Aug 12;19(16):9972. doi: 10.3390/ijerph19169972.
6
Research on the coordination characteristics and interaction between the innovation-driven development and green development of the Yangtze River Economic Belt in China.中国长江经济带创新驱动发展与绿色发展的协调特征及相互作用研究
Environ Sci Pollut Res Int. 2022 Apr;29(16):22952-22969. doi: 10.1007/s11356-021-17470-x. Epub 2021 Nov 19.
7
The Spatial Differentiation and Driving Forces of Ecological Welfare Performance in the Yangtze River Economic Belt.长江经济带生态福利绩效的空间分异及其驱动因素
Int J Environ Res Public Health. 2022 Nov 10;19(22):14801. doi: 10.3390/ijerph192214801.
8
Spatial analysis, coupling coordination, and efficiency evaluation of green innovation: A case study of the Yangtze River Economic Belt.空间分析、耦合协调与绿色创新效率评价——以长江经济带为例。
PLoS One. 2020 Dec 9;15(12):e0243459. doi: 10.1371/journal.pone.0243459. eCollection 2020.
9
Study on Regional Differences and Convergence of Green Development Efficiency of the Chemical Industry in the Yangtze River Economic Belt Based on Grey Water Footprint.基于灰水足迹的长江经济带化工行业绿色发展效率的区域差异与收敛性研究。
Int J Environ Res Public Health. 2022 Feb 2;19(3):1703. doi: 10.3390/ijerph19031703.
10
Industrial green total factor productivity in China's Yangtze River Economic Zone: Temporal and spatial difference analysis based on 108 panel data.中国长江经济带工业绿色全要素生产率:基于 108 个面板数据的时空差异分析。
PLoS One. 2022 Jul 1;17(7):e0259366. doi: 10.1371/journal.pone.0259366. eCollection 2022.

引用本文的文献

1
Analysis of the spatio-temporal variability and convergence of green development efficiency of city clusters in the middle reaches of the Yangtze River in China.长江中游城市群绿色发展效率的时空分异及收敛性分析
Heliyon. 2024 Sep 18;10(18):e38060. doi: 10.1016/j.heliyon.2024.e38060. eCollection 2024 Sep 30.
2
How to Evaluate the Level of Green Development Based on Entropy Weight TOPSIS: Evidence from China.如何基于熵权 TOPSIS 评价绿色发展水平——来自中国的证据。
Int J Environ Res Public Health. 2023 Jan 17;20(3):1707. doi: 10.3390/ijerph20031707.
3
Does Energy Efficiency Realize Energy Conservation in the Iron and Steel Industry? A Perspective of Energy Rebound Effect.

本文引用的文献

1
How Regional Integration Affects Urban Green Development Efficiency: Evidence from Urban Agglomeration in the Middle Reaches of the Yangtze River.区域一体化如何影响城市绿色发展效率:来自长江中游城市群的证据。
Int J Environ Res Public Health. 2022 Jun 28;19(13):7937. doi: 10.3390/ijerph19137937.
2
Does Digital Inclusive Finance Effectively Promote Agricultural Green Development?-A Case Study of China.数字包容性金融是否能有效促进农业绿色发展?——以中国为例。
Int J Environ Res Public Health. 2022 Jun 7;19(12):6982. doi: 10.3390/ijerph19126982.
3
Does manufacturing agglomeration promote or hinder green development efficiency? Evidence from Yangtze River Economic Belt, China.
能源效率能否在钢铁行业实现节能?基于能源回弹效应的视角。
Int J Environ Res Public Health. 2022 Sep 18;19(18):11767. doi: 10.3390/ijerph191811767.
制造业集聚促进还是阻碍了绿色发展效率?来自中国长江经济带的证据。
Environ Sci Pollut Res Int. 2023 Jul;30(34):81801-81822. doi: 10.1007/s11356-022-20537-y. Epub 2022 May 5.
4
Capital misallocation, technological innovation, and green development efficiency: empirical analysis based on China provincial panel data.资本错配、技术创新与绿色发展效率:基于中国省级面板数据的实证分析。
Environ Sci Pollut Res Int. 2022 Sep;29(43):65535-65548. doi: 10.1007/s11356-022-20364-1. Epub 2022 Apr 29.
5
Measuring green development level at a regional scale: framework, model, and application.衡量区域层面的绿色发展水平:框架、模型与应用。
Environ Monit Assess. 2022 Apr 7;194(5):343. doi: 10.1007/s10661-022-09953-2.
6
Measurement of Agricultural Green Development Level in the Three Provinces of Northeast China Under the Background of Rural Vitalization Strategy.振兴乡村战略背景下的东北三省农业绿色发展水平测度。
Front Public Health. 2022 Mar 11;10:824202. doi: 10.3389/fpubh.2022.824202. eCollection 2022.
7
Impact of Industrial Structure Upgrading on Green Total Factor Productivity in the Yangtze River Economic Belt.产业结构升级对长江经济带绿色全要素生产率的影响。
Int J Environ Res Public Health. 2022 Mar 21;19(6):3718. doi: 10.3390/ijerph19063718.
8
Digital economy and urban low-carbon sustainable development: the role of innovation factor mobility in China.数字经济与城市低碳可持续发展:创新要素流动在中国的作用。
Environ Sci Pollut Res Int. 2022 Jul;29(32):48539-48557. doi: 10.1007/s11356-022-19182-2. Epub 2022 Feb 22.
9
Study on Regional Differences and Convergence of Green Development Efficiency of the Chemical Industry in the Yangtze River Economic Belt Based on Grey Water Footprint.基于灰水足迹的长江经济带化工行业绿色发展效率的区域差异与收敛性研究。
Int J Environ Res Public Health. 2022 Feb 2;19(3):1703. doi: 10.3390/ijerph19031703.
10
Spatio-temporal evolution of ecological environment quality in China from a concept of strong sustainability.中国生态环境质量的强可持续性概念的时空演变。
Environ Sci Pollut Res Int. 2022 Apr;29(19):28769-28787. doi: 10.1007/s11356-021-17156-4. Epub 2022 Jan 6.