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基于“双碳”时代工业大数据的碳排放计算与影响因素分析。

Carbon Emission Calculation and Influencing Factor Analysis Based on Industrial Big Data in the "Double Carbon" Era.

机构信息

School of Management, Shenyang University of Technology, Shenyang, Liaoning Province, China.

Journal Editorial Department, Shenyang University of Technology, Shenyang, Liaoning Province, China.

出版信息

Comput Intell Neurosci. 2022 Feb 28;2022:2815940. doi: 10.1155/2022/2815940. eCollection 2022.

DOI:10.1155/2022/2815940
PMID:35265108
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8901290/
Abstract

The arrival of the "double carbon" era indicates that industrial carbon reduction with high energy consumption and high carbon emission is imperative. From the perspective of carbon emission driving factors, industrial carbon emission is decomposed into five influencing factors: energy intensity, energy structure, industrial structure, economic efficiency, and employee scale. Taking the data of 41 subindustries of industrial industry in Liaoning Province from 2010 to 2019 as the research sample, the carbon emission is calculated. The LMDI model is used to analyze and point out the difference in the driving contribution of carbon emissions of each subindustry. The results show that the total carbon emission of Liaoning province gradually decreases, decreases for the first time in 2014, and gradually turns from flat to upward. Economic efficiency is the only and most important reason to drive the increase of industrial carbon emissions in Liaoning Province, and energy efficiency is the primary factor to curb carbon emissions. High carbon industries play a significant role in promoting the increase of carbon emissions, while the medium and low carbon industries have a better effect on restraining carbon emissions. It provides reference and theoretical basis for the government to adjust the industrial structure, control industrial overcapacity, and realize the "double carbon" goal as soon as possible. It is of great significance for the country to optimize energy layout, ensure energy security, and implement the new energy strategy.

摘要

“双碳”时代的到来,意味着高能耗、高碳排放的工业降碳减排势在必行。从碳排放驱动因素角度出发,将工业碳排放分解为能源强度、能源结构、产业结构、经济效益和员工规模五个影响因素。选取辽宁省工业行业 41 个子行业 2010-2019 年的数据为研究样本,对其碳排放进行测算。利用 LMDI 模型对各子行业碳排放的驱动贡献差异进行分析,结果表明:辽宁省的总碳排放量呈逐渐下降趋势,于 2014 年首次出现下降拐点,且逐渐由平转向上。经济效益是驱动辽宁省工业碳排放增加的唯一且最重要的原因,能源效率是抑制碳排放的首要因素。高碳产业对促进碳排放增加起到了显著的作用,而中低碳产业对抑制碳排放则具有更好的效果。为政府调整产业结构、控制工业产能过剩、尽早实现“双碳”目标提供了参考和理论依据,对国家优化能源布局、保障能源安全、实施新能源战略具有重要意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d641/8901290/1e02acc9569d/CIN2022-2815940.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d641/8901290/ada9e210534c/CIN2022-2815940.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d641/8901290/1e02acc9569d/CIN2022-2815940.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d641/8901290/ada9e210534c/CIN2022-2815940.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d641/8901290/1e02acc9569d/CIN2022-2815940.002.jpg

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