长江经济带城市群绿色发展水平的时空分异特征及影响因素分析

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-09-02 DOI:10.1016/j.ecolind.2024.112552
Ge Lan, Yi Xiao, Xiaohu Ci, Yanjun Zhang, Jun Xia
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引用次数: 0

摘要

绿色发展是区域高质量发展的核心要素之一。长江经济带是中国实现可持续发展的首要区域。本研究分析了长江经济带城市群内部水资源耗损值的变化以及总体规模结构。从绿色环境、绿色生活方式、绿色经济三个维度共选取 44 个指标,建立了旨在评价绿色发展水平的评价指标体系。通过应用熵-TOPSIS 法、地理检测器和空间自相关分析,研究了 2000 年至 2020 年三大城市群 73 个城市绿色发展水平的时空差异差异及其影响因素。结果表明(1)三大城市群的水资源消耗总值呈波动下降轨迹,2020 年达到最低点。(2)三大城市群内城市规模相对集中,高等级城市突出度有限,领先优势较弱。(3)2000-2020 年,绿色发展水平总体呈上升趋势。绿色发展水平较高的城市主要集中在长三角地区,省会城市位于中上游。(4)绿色发展水平的主要影响因素包括单位 GDP 碳排放量、人均排水管道长度、人均国内生产总值、城镇居民人均可支配收入和单位 GDP 水耗。这些指标的空间差异对绿色发展水平的解释率超过 60%。基于研究成果,本文提出了三点政策建议:一是壮大绿色产业。二是推动绿色市政基础设施规划。三是鼓励区域协同合作,发挥核心城市的辐射引领作用。
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Spatial and temporal differentiation characteristics of green development levels in urban agglomerations within the Yangtze River economic Belt and analysis of influencing factors
Green development is one of the core elements of high-quality regional development. The Yangtze River Economic Belt stands as the primary area for China’s pursuit of sustainable development. This study analyzes the changes in water resource depletion values within the urban agglomeration of the Yangtze River Economic Belt, as well as the overall scale structure. A total of 44 indicators were selected from the three dimensions, namely green environment, green lifestyle, and green economy, to establish an evaluation index system aimed at assessing the level of green development. Through the application of the entropy-TOPSIS method, geographical detectors, and spatial autocorrelation analysis, the spatial and temporal differentiation variances in green development levels were examined, as well as the influencing factors across 73 cities situated within the three major city clusters from 2000 to 2020. The results show that: (1) The total value of water resource depletion in the three major urban agglomerations exhibits a fluctuating downward trajectory, reaching its lowest point in 2020. (2) City sizes within these three major urban agglomerations are relatively centralized, with high-ranking cities exhibiting limited prominence, showing weak leading advantages. (3) The green development level exhibits an overall upward trend from 2000 to 2020. Cities with higher levels of green development are mainly concentrated in the Yangtze River Delta and the capital cities are situated in the upper and middle reaches. (4) Key influencing factors of the green development level include carbon emissions per unit of GDP, length of drainage pipe per capita, gross domestic product per capita, disposable income of urban residents per capita, and water consumption per unit of GDP. The spatial variance in these indicators explains over 60% of the green development level. Based on the research results, this paper puts forward three policy recommendations: first, to grow the green industry. The second is to promote green municipal infrastructure planning. The third is to encourage regional synergistic cooperation and play the role of radiation leadership of core cities.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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