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中国中部(以江西省为例)净 CO 排放控制路径与对策研究。

Research on the control path and countermeasures of net CO emissions in central China - represented by Jiangxi Province.

机构信息

School of Public Policy and Administration, Nanchang University, Nanchang, People's Republic of China.

出版信息

Environ Technol. 2023 Nov;44(25):3867-3882. doi: 10.1080/09593330.2022.2075795. Epub 2022 May 15.

Abstract

The demand for carbon peaking and 'carbon neutrality' is putting pressure on some provinces in central China that are on the rise in economic development and rely on coal as their main energy source. This article takes Jiangxi Province as an example to study the relationship between net CO emissions and 11 indicators, the STIRPAT model is used to perform multivariate linear fitting. The results of regression are used to calculate the peak value of net CO emissions under different scenarios, and the fuzzy set qualitative analysis method is used to study the development model of net CO emissions in Jiangxi Province and its control path. The results showed that: (1) Per capita GDP has the most significant impact on the net CO emissions, while the proportion of total forestry output value, energy conservation, environmental protection expenditures in public expenditures, the number of buses vehicles operating per 10,000 people are negatively correlated with net CO emissions. (2) After simulating the possible development scenarios of Jiangxi Province, it can be concluded that there are in three scenarios the net CO emissions are most likely to peak before 2030. (3) Configuration analysis results showed that if Jiangxi Province wants to achieve 'carbon neutrality' in 2060, it is necessary to maintain both economic structural adjustment and energy consumption structural adjustment, with carbon intensity reduction as the main goal development model. (4) The central China should give more play to the advantages of the forestry industry and strengthen the energy structure regulation policy.

摘要

实现碳达峰和碳中和的需求给一些经济发展迅速、以煤炭为主要能源的中部省份带来了压力。本文以江西省为例,研究了净 CO 排放与 11 个指标之间的关系,采用 STIRPAT 模型进行多元线性拟合。回归结果用于计算不同情景下净 CO 排放峰值,并采用模糊集定性分析方法研究江西省净 CO 排放的发展模式及其控制路径。结果表明:(1)人均 GDP 对净 CO 排放的影响最大,而林业总产值占比、节能环保支出占公共支出比重、每万人公交车拥有量与净 CO 排放呈负相关。(2)模拟江西省可能的发展情景后,可以得出在三种情景下,净 CO 排放最有可能在 2030 年前达到峰值。(3)配置分析结果表明,如果江西省要在 2060 年实现“碳中和”,则需要同时保持经济结构调整和能源消费结构调整,以碳强度减排为主要目标发展模式。(4)中部地区应更好地发挥林业产业优势,加强能源结构调节政策。

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