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江西省细分行业碳排放脱钩状态及影响因素分析

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为响应经济与环境的协同发展,实现"双碳"发展目标,研究行业碳排放及脱钩情况具有一定现实意义。研究以 2000 研究行业年江西省各类数据为基础,采用Tapio脱钩模型判别各行业脱钩情况,结合LMDI模型深入研究影响各行业碳排放的驱动因素,厘清脱钩关系背后动因。结果表明:1)2000 影响各行业年,江西省碳排增量 10 188。6×104 t,能源消费结构中以化石能源为主,能源消费强度呈下降趋势。2)研究期内,经济增长对碳排放产生增量效应;人口增长对碳排放呈现先增后减现象;产业结构对碳排放的影响具有波动性且效力较大;能源强度和能源结构对碳排放整体呈现增量作用,各行业存在显著差异。3)研究期内江西省碳排放与经济增长的脱钩情况整体向好,第一产业、第二产业内整体呈现脱钩状态,而第三产业整体处于负脱钩状态。从多角度对江西省细分行业碳排放脱钩进行研究,以期为节能减排、实现产业转型提供参考建议。
Analysis on the Status of Carbon Emission Decoupling and the Influencing Factors of Various Industries in Jiangxi Province
In order to respond to the coordinated development of economy and environment and a-chieve the goal of"dual carbon"development,it is of certain practical significance to study the car-bon emissions and decoupling of industries.Based on the various data of Jiangxi province in 2000,the study adopts the Tapio decoupling model to identify the decoupling situation of each industry,and combines the LMDI model to explore the driving factors affecting the carbon emissions of each industry and clarify the motivation behind the decoupling relationship.The results show that:1)In 2000,the carbon emission of Jiangxi province increased by 10 188.6×104 t,and the energy con-sumption structure was dominated by fossil energy,and the energy consumption intensity showed a downward trend.2)During the study period,economic growth has an incremental effect on carbon emissions;Population growth first increases and then decreases carbon emissions.The impact of in-dustrial structure on carbon emissions is volatile and effective.Energy intensity and energy mix have an overall incremental effect on carbon emissions,with significant differences across industries.3)During the study period,the decoupling between carbon emissions and economic growth in Jiangxi province is generally better,with the primary industry and the secondary industry showing a state of decoupling,while the tertiary industry as a whole is in a state of negative decoupling.This paper studies the carbon emission decoupling of segmented industries in Jiangxi province from multiple per-spectives,in order to provide reference suggestions for energy conservation and emission reduction and industrial transformation.

emissionsLMDI index decomposition modeldecoupling analysisindustry segmentstime-space variation

丁颖、张明、多玲花、赵昱茜、蒋成庆

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东华理工大学测绘与空间信息工程学院,330013,南昌

碳排放 LMDI指数分解模型 脱钩分析 细分行业 时空变化

国家自然科学基金江西省自然科学基金

41761090GL22228

2024

江西科学
江西省科学院

江西科学

影响因子:0.286
ISSN:1001-3679
年,卷(期):2024.42(2)
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