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基于超效率 SBM 模型和 Malmquist 指数对中国珠江三角洲地区的能源效率进行分析。

An analysis of energy efficiency of the Pearl River Delta of China based on super-efficiency SBM model and Malmquist index.

机构信息

School of Social Sciences, The University of Manchester, Manchester, M13 9PL, UK.

出版信息

Environ Sci Pollut Res Int. 2023 Feb;30(7):18998-19011. doi: 10.1007/s11356-022-23465-z. Epub 2022 Oct 12.

DOI:10.1007/s11356-022-23465-z
PMID:36220962
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9928967/
Abstract

With the rapid growth rate of China's economy, the extensive pattern of economic growth of "high energy consumption and low output" has magnified the constraints of energy issues on China's economic development and environmental protection, which highlights the importance of improving energy efficiency. As one of the three major economic zones in China, the Pearl River Delta region also faces high energy consumption and pollution emissions while developing at a high speed. Hence, improving the energy efficiency of the Pearl River Delta region is needed, as it not only is conducive to driving its development of the surrounding green economy, but also promotes the subsequent sustainable economic development. However, there are few literatures on the calculation and analysis of energy efficiency in the Pearl River Delta, and lacking a systematic analysis of input-output index system of energy efficiency measurement. Therefore, this paper calculates the energy efficiencies and the Malmquist indexes based on the panel data of the nine cities in the Pearl River Delta from 2005 to 2019 through super-efficiency SBM model and Malmquist index method by using MAXDEA and MATLAB software. The result illustrates that all regions in the Pearl River Delta except Guangzhou and Shenzhen show obvious energy inefficiency, which is mainly caused by the imbalance between technical efficiency and scale efficiency. Based on the calculation results, this paper gives some relevant suggestions for the further approach of energy reform in the Pearl River Delta according to the calculation results.

摘要

随着中国经济的快速增长,“高能耗、低产出”的粗放型经济增长模式放大了能源问题对中国经济发展和环境保护的制约,凸显了提高能源效率的重要性。作为中国三大经济区之一,珠江三角洲在高速发展的同时,也面临着高能耗和污染排放的问题。因此,提高珠江三角洲的能源效率不仅有利于推动其周边绿色经济的发展,也有利于促进后续的可持续经济发展。然而,关于珠江三角洲能源效率的计算和分析的文献很少,缺乏对能源效率测度投入产出指标体系的系统分析。因此,本文利用 MAXDEA 和 MATLAB 软件,通过超效率 SBM 模型和 Malmquist 指数法,基于 2005 年至 2019 年珠江三角洲九个城市的面板数据,计算了能源效率和 Malmquist 指数。结果表明,除广州和深圳外,珠江三角洲所有地区均表现出明显的能源无效率,这主要是由于技术效率和规模效率之间的不平衡造成的。基于计算结果,本文根据计算结果,针对珠江三角洲进一步推进能源改革提出了一些相关建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/371d0caf9593/11356_2022_23465_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/cd4fc94c2b9a/11356_2022_23465_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/40ba64203725/11356_2022_23465_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/371d0caf9593/11356_2022_23465_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/cd4fc94c2b9a/11356_2022_23465_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/40ba64203725/11356_2022_23465_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dd92/9928967/371d0caf9593/11356_2022_23465_Fig3_HTML.jpg

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