Analysis and Research on the Adjustment of Energy Consumption Structure Based on the “Dual Carbon” Target

L. Rui
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Abstract

In response to China's “dual-carbon” goal committed in the Paris Agreement and the United Nations Framework Convention on Climate Change, this paper takes the panel data published in the China Statistical Yearbook 2021 as the object, and studies an application of GM(1,1) combined with weakening buffer filtering as a predictive method for validating “dual-carbon” targets. Through the scenario analysis of adjusting the proportion of energy consumption structure without affecting the development of the economy and people's livelihood, this method can give the feasibility of China's realization of the “dual carbon” goal. The verification results also show that the adjustment method of scenario analysis 2 given in this paper can provide an effective scientific reference way for the government and related industries to realize the “dual carbon” target.
基于“双碳”目标的能源消费结构调整分析与研究
针对中国在《巴黎协定》和《联合国气候变化框架公约》中承诺的“双碳”目标,本文以《中国统计年鉴2021》公布的面板数据为对象,研究了GM(1,1)结合弱化缓冲滤波作为“双碳”目标验证的预测方法。通过在不影响经济和民生发展的前提下调整能源消费结构比重的情景分析,该方法可以给出中国实现“双碳”目标的可行性。验证结果也表明,本文给出的情景分析2的调整方法可以为政府和相关行业实现“双碳”目标提供有效的科学参考途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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