Correlation and synergy analysis of urban economy–energy–environment system—A case study of Beijing

IF 1.8 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES Natural Resource Modeling Pub Date : 2021-08-27 DOI:10.1111/nrm.12329
Xianzhong Mu, L. Kong, Chuang Tu, Jian Chen, Guangwen Hu
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引用次数: 8

Abstract

The coordination of economy, energy, and environment plays an important role for cities seeking green transformation and sustainable development. However, poor information and equivocal data are what often face the related analysis. In this paper, the correlation and synergy of the urban economy–energy–environment system are analyzed. First, the Grey relational analysis and entropy weight method are combined and introduced to analyze the correlation degree in the indicator level and the subsystem level of the 3E system. Then, the concepts of ordinal parameter and comprehensive correlation degree are introduced, to evaluate the ordering degree of subsystems and the synergy degree of compound systems. Finally, the data of Beijing from 2008 to 2017 are used for empirical study. Results suggest that a fluctuating tendency of low synergy or none synergy is observed in the Beijing 3E system. Furthermore, the improvement of the energy subsystem displays dominant effects on the coordinated development of compound systems, and the technological innovation and structural optimization in industries could help to improve the Beijing economy–energy–environment system.
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城市经济-能源-环境系统的关联与协同分析——以北京市为例
经济、能源和环境的协调是城市实现绿色转型和可持续发展的重要途径。然而,相关分析往往面临信息贫乏和数据模棱两可的问题。本文分析了城市经济-能源-环境系统的关联性和协同性。首先,将灰色关联分析法和熵权法相结合,分析了3E系统在指标层和子系统层的关联度。然后,引入有序参数和综合关联度的概念,评价复合系统的有序度和协同度。最后,利用北京市2008 - 2017年的数据进行实证研究。结果表明,北京3E系统存在低协同或无协同的波动趋势。能源子系统的提升对复合系统的协调发展具有主导作用,产业的技术创新和结构优化有助于改善北京经济-能源-环境系统。
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来源期刊
Natural Resource Modeling
Natural Resource Modeling 环境科学-环境科学
CiteScore
3.50
自引率
6.20%
发文量
28
审稿时长
>36 weeks
期刊介绍: Natural Resource Modeling is an international journal devoted to mathematical modeling of natural resource systems. It reflects the conceptual and methodological core that is common to model building throughout disciplines including such fields as forestry, fisheries, economics and ecology. This core draws upon the analytical and methodological apparatus of mathematics, statistics, and scientific computing.
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