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从生态价值角度看中国城市生态福利绩效的动态演进、区域差异与空间溢出效应

Dynamic Evolution, Regional Differences, and Spatial Spillover Effects of Urban Ecological Welfare Performance in China from the Perspective of Ecological Value.

机构信息

College of Urban Economics and Public Administration, Capital University of Economics and Business, Beijing 100070, China.

Beijing Key Laboratory of Megaregions Sustainable Development Simulation, Capital University of Economics and Business, Beijing 100070, China.

出版信息

Int J Environ Res Public Health. 2022 Dec 5;19(23):16271. doi: 10.3390/ijerph192316271.

DOI:10.3390/ijerph192316271
PMID:36498349
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9741475/
Abstract

Ecological welfare performance (EWP) is a necessary condition for achieving sustainable economic development and is a crucial initiative for resolving the dilemma of balancing economic development, social welfare, ecology, and the environment. This paper constructs and enhances a comprehensive evaluation system of ecological welfare performance (EWP) from an ecological value viewpoint for the purpose of making the results of the evaluation both comprehensive and objective. In the meantime, the Dagum Gini decomposition, kernel density, and the spatial Durbin model were initiated to measure and analyze urban EWP, which supplies new empirical results for studies on the dynamic evolution, regional differences and driving factors of urban EWP. The findings indicate the following: (1) In each spatial dimension, the urban EWP roughly demonstrates first a decreased and then an increased trend. There is a discrepancy in the east-central-west distribution of urban EWP in space, in which urban EWP in the east and west is larger than that in the central area. (2) For relative differences, intra-regional and inter-regional differences in urban EWP are significantly spatially uneven. Supervariable density is the main source of regional differences. For absolute differences, the EWP demonstrates a significant polarization effect. (3) The urban EWP does not have σ-convergence; nonetheless, it has spatial absolute -convergence and spatial conditional -convergence. (4) The urban EWP has a significant spatial correlation. Industrial structure, science and technology innovation, foreign investment, urbanization, government intervention, finance development, and environmental regulations all have influence effects and spatial effects on urban EWP; notwithstanding, the direction and magnitude of the effects vary across the different spatial dimensions.

摘要

生态福利绩效(EWP)是实现经济可持续发展的必要条件,是解决经济发展、社会福利、生态和环境平衡困境的关键举措。本文从生态价值的角度构建和完善了生态福利绩效(EWP)综合评价体系,使评价结果更加全面和客观。同时,采用 Dagum Gini 分解、核密度估计和空间 Durbin 模型,对城市 EWP 进行测度和分析,为城市 EWP 动态演变、区域差异和驱动因素的研究提供了新的实证结果。研究结果表明:(1)在各个空间维度上,城市 EWP 大致呈现先下降后上升的趋势,空间上存在东中西部城市 EWP 的分布差异,东部和西部的城市 EWP 大于中部地区。(2)对于相对差异,城市 EWP 的区域内和区域间差异具有显著的空间非均衡性,超变密度是区域差异的主要来源。对于绝对差异,EWP 表现出显著的极化效应。(3)城市 EWP 不存在σ收敛,但具有空间绝对收敛和空间条件收敛。(4)城市 EWP 具有显著的空间相关性。产业结构、科技创新、外资、城市化、政府干预、金融发展和环境规制对城市 EWP 均具有影响效应和空间效应,但在不同的空间维度上,效应的方向和大小存在差异。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/b8675dce009b/ijerph-19-16271-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/a59f1cc17f2d/ijerph-19-16271-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/451ca059c893/ijerph-19-16271-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/97c55d2a5d57/ijerph-19-16271-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/301b726c5e05/ijerph-19-16271-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/6fb11d2691c6/ijerph-19-16271-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/3d65fd45dac9/ijerph-19-16271-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/e38402971aef/ijerph-19-16271-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/b8675dce009b/ijerph-19-16271-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/a59f1cc17f2d/ijerph-19-16271-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/451ca059c893/ijerph-19-16271-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/97c55d2a5d57/ijerph-19-16271-g003a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/301b726c5e05/ijerph-19-16271-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/6fb11d2691c6/ijerph-19-16271-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/3d65fd45dac9/ijerph-19-16271-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/e38402971aef/ijerph-19-16271-g007a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/713d/9741475/b8675dce009b/ijerph-19-16271-g008.jpg

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本文引用的文献

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The Spatiotemporal Evolution and Influencing Factors of the Chinese Cities' Ecological Welfare Performance.中国城市生态福利绩效的时空演变及其影响因素。
Int J Environ Res Public Health. 2022 Oct 10;19(19):12955. doi: 10.3390/ijerph191912955.
2
Digital Economy, Environmental Regulation, and Ecological Well-Being Performance: A Provincial Panel Data Analysis from China.数字经济、环境规制与生态福祉绩效:来自中国省级面板数据的分析。
Int J Environ Res Public Health. 2022 Sep 19;19(18):11801. doi: 10.3390/ijerph191811801.
3
Study on coupling coordination and spatiotemporal heterogeneity between economic development and ecological environment of cities along the Yellow River Basin.
黄河流域城市经济发展与生态环境耦合协调及时空异质性研究。
Environ Sci Pollut Res Int. 2021 Feb;28(6):6898-6912. doi: 10.1007/s11356-020-11051-0. Epub 2020 Oct 3.
4
Two-Stage Super-Efficiency Slacks-Based Model to Assess China's Ecological Wellbeing.两阶段超效率松弛基模型评估中国生态福祉。
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5
Impact of green finance on economic development and environmental quality: a study based on provincial panel data from China.绿色金融对经济发展和环境质量的影响:基于中国省级面板数据的研究。
Environ Sci Pollut Res Int. 2020 Jun;27(16):19915-19932. doi: 10.1007/s11356-020-08383-2. Epub 2020 Mar 30.