基于熵权-TOPSIS法的低碳城市评价——以辽宁省为例
Low Carbon City Evaluation Based on Entropy Weight-TOPSIS Method—Taking Liaoning Province as an Example
DOI: 10.12677/SD.2024.141019, PDF,   
作者: 王飞飞, 徐露露:辽宁大学环境学院,辽宁 沈阳;王伟光:榆树市新庄镇综合服务中心,吉林 榆树
关键词: 熵权法TOPSIS低碳城市评价辽宁省低碳城市评价体系Entropy Weight Method TOPSIS Low-Carbon City Evaluation Liaoning Province Low Carbon City Evaluation System
摘要: 低碳城市评价可以客观地评价城市低碳经济的发展水平,也可以尽快地找到低碳经济发展过程的问题。本文以辽宁省为例建立了综合经济增长、社会进步、能源消耗和环境保护等的低碳水平评估指标体系,并通过熵权-TOPSIS法评估我国辽宁省的低碳发展水平。研究结果表明:按照王玲确定的划分标准,辽宁省2013年属于低级阶段,说明2013年低碳转型所表现出来的效果最差;2014年~2017年属于初级阶段,说明资源型城市的经济发展问题已经得到一定的解决;2018年~2021年属于中级阶段,说明经济发展状况良好,经济发展与资源、环境的矛盾得到一定程度的缓和,碳排放有所降低。整体来说,资源型城市正在向着可持续的方向发展,但城市经济尚未完全摆脱资源约束、环境问题依然存在。总体来说,辽宁省在低碳转型的方面已经取得了阶段性的进展,如今辽宁省城市环境已经得到较大改善,工业整体结构呈现多层次、多元化的发展态势,工业体系得到不断完善。但是,低碳转型的过程是比较漫长的,这就需要资源型城市积极探索有益于低碳发展的对策,并在具体的实践中不断学习和总结。
Abstract: Low carbon city evaluation can objectively evaluate the development level of urban low carbon economy, but also as soon as possible find the problems in the development process of low carbon economy. This paper takes Liaoning Province as an example to establish a comprehensive economic growth, social progress, energy consumption and environmental protection and other low carbon level evaluation index system, and evaluate the low-carbon development level of Liaoning Province in China through entropy weight-TOPSIS method. The results show that during the study period, the fit degree of economic development capacity increased from 0.352 in 2013 to 0.817 in 2021 except for 2020; the fit degree of social development capacity increased from 0.171 in 2013 to 0.921 in 2021; the fit degree of low-carbon energy consumption increased from 0.252 in 2013 to 0.866 in 2021 except for 2020; the environmental fit increased from 0.298 in 2013 to 0.695 in 2021. In general, the level of low-carbon development in Liaoning Province is generally on the rise. In general, Liaoning Province has made phased progress in the aspect of low-carbon transformation. However, the process of low-carbon transformation is relatively long, which requires resource- based cities to actively explore countermeasures conducive to low-carbon development, and continue to learn and summarize in specific practices.
文章引用:王飞飞, 徐露露, 王伟光. 基于熵权-TOPSIS法的低碳城市评价——以辽宁省为例[J]. 可持续发展, 2024, 14(1): 144-151. https://doi.org/10.12677/SD.2024.141019

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