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巴基斯坦能源相关 CO 排放分析:碳源和碳损害分解分析。

Analysis of energy-related CO emissions in Pakistan: carbon source and carbon damage decomposition analysis.

机构信息

School of Economics, Shandong Technology and Business University, Yantai, 255000, Shandong, China.

School of Economics and Management, Yantai University, Yantai, 264005, China.

出版信息

Environ Sci Pollut Res Int. 2023 Oct;30(49):107598-107610. doi: 10.1007/s11356-023-29824-8. Epub 2023 Sep 22.

Abstract

Carbon dioxide emissions (COes) are presently a hot topic of worldwide concern. It is of great significance for lessening COes to wholly understand the transformation pattern of COes among countries, industries, and the main factors (i.e., emission effect, energy intensity, economic development, population size, carbon per unit of land, land per capita, and environmental impact per capita effects) influencing COes. Thus, to mitigate the country's COes efficiently, it is necessary to determine the driving factors of its emissions and damage variations. For this, we use the logarithmic mean Divisia index method. This research decomposes the major two dimensions, such as carbon sources and carbon damage variations from 1986 to 2020, into eight factors. The results show that Pakistan's COes increased continuously during the period, with an average annual growth rate of 4.76%. Growing the country's COes over 1986-2020, the key influencing factors are economic development, population, and land, while energy intensity and emission factors are the main forces in mitigating COes. The carbon source and carbon damage dimensions reached 68.75 Mt and 208.56 Mt, respectively, which led to a rise in COe. The entire set of factors is averagely moving around the major outcomes that provide significant policy measures. Finally, to efficiently reduce COe, Pakistan should concentrate on specific industrial paths and implement challenging, comprehensive governance to attain a low-carbon chain throughout the process. Thus, based on empirical results, this research put forward policy suggestions for cleaner production to reduce CO emissions further, and environmental policies must be tailored to local conditions.

摘要

二氧化碳排放(COes)是当前全球关注的热点话题。全面了解 COes 在国家、行业之间的转化模式以及影响 COes 的主要因素(即排放效应、能源强度、经济发展、人口规模、单位土地碳含量、人均土地和人均环境影响效应)对于减少 COes 具有重要意义。因此,为了有效减少国家的 COes,有必要确定其排放和破坏变化的驱动因素。为此,我们使用对数平均迪维西亚指数方法。本研究将主要的两个维度,如碳源和碳破坏变化,从 1986 年到 2020 年分解为八个因素。结果表明,巴基斯坦的 COes 在这段时间内持续增长,平均年增长率为 4.76%。在 1986-2020 年期间,推动巴基斯坦 COes 增长的关键影响因素是经济发展、人口和土地,而能源强度和排放因素是减少 COes 的主要力量。碳源和碳破坏维度分别达到 68.75 Mt 和 208.56 Mt,导致 COe 上升。整个因素集平均围绕主要结果移动,为制定重大政策措施提供了依据。最后,为了有效减少 COe,巴基斯坦应专注于特定的工业路径,并实施具有挑战性的全面治理,在整个过程中实现低碳链。因此,基于实证结果,本研究提出了进一步减少 CO 排放的清洁生产政策建议,环境政策必须因地制宜。

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