“双碳”目标下浙江省产业结构对碳排放量的影响
The Impact to Find Industrial Structure on Carbon Emissions in Zhejiang Province under the “Dual Carbon” Goal
DOI: 10.12677/ecl.2024.1341577, PDF,   
作者: 祝 雪:浙江理工大学经济管理学院,浙江 杭州
关键词: “双碳”目标产业结构碳排放量“Dual Carbon” Goals Industrial Structure Carbon Emissions
摘要: 在全国的环境污染情况愈发严重和全球要求推出实现缓解气候变化目标行动的双重压力下,在全球国家碳排放量排名中,我国排在第一,因此我国以身作则,提出了2030年“碳达峰”和2060年“碳中和”的双碳目标。本文研究了浙江省的碳排放水平,因为浙江省是我国东部沿海地区的经济大省,经济发展水平在全国前列,但是人均的碳排放水平也在全国排名不低,从而可知,在减排节能、绿色低碳方面浙江省还需努力。基于此,本项目拟采用统计分析、实证研究与案例分析相结合的方法,对浙江省“双碳”背景下的产业结构优化与碳排放之间的关系进行研究。本课题拟以浙江省为例,以“双碳”为背景,建立经济社会发展与经济发展之间的关系模型,并对其进行实证分析,以期为我国经济社会发展提供理论依据。
Abstract: Under the dual pressure of the increasingly serious environmental pollution situation in the country and the global demand to launch actions to achieve climate change mitigation goals, China ranks first in the global national carbon emission ranking, so China has set an example and proposed the dual carbon goals of “carbon peak” in 2030 and “carbon neutrality” in 2060. This paper studies the carbon emission level of Zhejiang Province, because Zhejiang Province is a major economic province in the eastern coastal region of China, and its economic development level is in the forefront of the country, but the per capita carbon emission level isn’t ranked low in the country, so it can be seen that Zhejiang Province still needs to work hard in terms of emission reduction, energy saving, green and low-carbon. Based on this, this project intends to use a combination of statistical analysis, empirical research and case analysis to study the relationship between industrial structure optimization and “carbon” emissions under the background of “dual carbon” in Zhejiang Province. This project intends to take Zhejiang Province as an example to establish a model of the relationship between economic and social development and economic development under the background of “dual carbon”, and analyze it empirically, in order to provide a theoretical basis for China’s economic and social development.
文章引用:祝雪. “双碳”目标下浙江省产业结构对碳排放量的影响[J]. 电子商务评论, 2024, 13(4): 3743-3757. https://doi.org/10.12677/ecl.2024.1341577

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