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基于中国的实证研究:资源型城市高质量发展的时空分异与影响因素分析。

Spatiotemporal differentiation and analysis of factors influencing high-quality development of resource-based cities: An empirical study based in China.

机构信息

Department of Geography, Xinzhou Normal University, Xinzhou, China.

Resource-Based Economy Transformation and Development Institute, Shanxi University of Finance & Economics, Taiyuan, China.

出版信息

PLoS One. 2024 May 31;19(5):e0304460. doi: 10.1371/journal.pone.0304460. eCollection 2024.

DOI:10.1371/journal.pone.0304460
PMID:38820404
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11142578/
Abstract

Resource-based cities often face problems such as resource scarcity and insufficient electricity to achieve complex high-quality growth. At present, there is relatively little research on the impact on the high-quality development of such cities. To study the key variables that affect the high-quality growth of resource-based cities, we adopt entropy weighted TOPSIS technology, spatial correlation analysis, and spatial econometric models. The main conclusions are as follows: (1) The overall high-quality development of resource-based cities in China is on the rise year by year; The cities with the highest growth rates are those that are mature, rejuvenated, growing, and declining. (2) Resource-based cities have a positive geographical correlation in high-quality development, and different numbers of clusters are displayed by changing the Moran I index score. (3) High quality development is strongly influenced by human capital, urbanization, technological innovation, and global market openness. There are significant differences in the ways in which these variables affect various types of resource-based cities. Policy makers who strive to reduce regional inequality and encourage high-quality growth in resource-based communities may benefit greatly from the insights provided by this study.

摘要

资源型城市往往面临资源短缺和电力不足等问题,难以实现复杂的高质量增长。目前,针对此类城市对高质量发展的影响的研究相对较少。为研究影响资源型城市高质量增长的关键变量,我们采用熵权 TOPSIS 技术、空间相关性分析和空间计量经济学模型进行研究。主要结论如下:(1)中国资源型城市整体高质量发展水平逐年上升;增长最快的城市是成熟型、振兴型、成长型和衰退型城市。(2)资源型城市在高质量发展方面存在正地理相关性,通过改变 Moran I 指数得分,呈现出不同数量的聚类。(3)高质量发展受到人力资本、城市化、技术创新和全球市场开放的强烈影响。这些变量对不同类型的资源型城市的影响方式存在显著差异。本研究提供的见解可能使致力于减少区域不平等和鼓励资源型社区高质量增长的政策制定者受益匪浅。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/4ebb13a595cb/pone.0304460.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/077ed06a3a1f/pone.0304460.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/a6c9dc84f88b/pone.0304460.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/4d2ed837ca96/pone.0304460.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/4ebb13a595cb/pone.0304460.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/077ed06a3a1f/pone.0304460.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/a6c9dc84f88b/pone.0304460.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/4d2ed837ca96/pone.0304460.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9752/11142578/4ebb13a595cb/pone.0304460.g004.jpg

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本文引用的文献

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Int J Environ Res Public Health. 2022 Feb 27;19(5):2783. doi: 10.3390/ijerph19052783.
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Exploring the dilemma and influencing factors of ecological transformation of resource-based cities in China: perspective on a tripartite evolutionary game.探索中国资源型城市生态转型的困境与影响因素:三方进化博弈视角。
Environ Sci Pollut Res Int. 2022 Jun;29(27):41386-41408. doi: 10.1007/s11356-021-18450-x. Epub 2022 Jan 28.
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Measurement of Coupling Coordination Degree and Spatio-Temporal Characteristics of the Social Economy and Ecological Environment in the Chengdu-Chongqing Urban Agglomeration under High-Quality Development.
高质量发展背景下成渝城市群社会经济与生态环境耦合协调度的时空特征测度
Int J Environ Res Public Health. 2021 Nov 5;18(21):11629. doi: 10.3390/ijerph182111629.
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Economic effects analysis of environmental regulation policy in the process of industrial structure upgrading: Evidence from Chinese provincial panel data.产业结构升级过程中环境规制政策的经济效应分析:来自中国省级面板数据的证据。
Sci Total Environ. 2021 Jan 20;753:142004. doi: 10.1016/j.scitotenv.2020.142004. Epub 2020 Aug 29.
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An Empirical Analysis of Energy Consumption, FDI and High Quality Development Based on Time Series Data of Zhejiang Province.基于浙江省时间序列数据的能源消费、FDI 与高质量发展的实证分析。
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