Evaluating China's 2030 carbon peak goal: Post-COVID-19 systematic review

IF 16.3 1区 工程技术 Q1 ENERGY & FUELS Renewable and Sustainable Energy Reviews Pub Date : 2024-11-28 DOI:10.1016/j.rser.2024.115128
Chao Huang , Sau Chung Fu , Ka Chung Chan , Chili Wu , Christopher Y.H. Chao
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Abstract

Following China's 2020 announcement of its commitment to reach a carbon peak by 2030 and achieve carbon neutrality by 2060, considerable debate has emerged regarding the feasibility of the 2030 carbon peak target. To contribute to this discourse, this review adopts a narrative review, comprehensively analysing 73 publications in the domain of carbon emissions prediction in China post-2020. Moreover, the results show that a predominant view among studies is that China is poised to achieve its carbon peak target from 2027 to 2030, anticipating a peak emission range of approximately 11.60–13.17 Gt CO2e. Besides, this research provides a comprehensive analysis of the research methodologies, parameter selection, and scenario settings in this field. It offers readers a thorough overview of the area, helping potential researchers to quickly enter the field. Key findings include: (1) the grey model, the artificial intelligence model, the IPAT-derived model, and the system dynamics model are the predominant forecasting models, with the IPAT-derived model being favoured for the national and regional areas and system dynamics for the industry. (2) Scenario settings are typically structured on a 5-year basis, with 3–5 scenarios considered reasonable for policy recommendation as they provide multi-faceted analysis while avoiding information overload and resource wastage. (3) The definition of ‘Carbon Peak’ needs to be taken seriously. Additionally, it highlights current research deficiencies and future directions and provides policy recommendations vital for China's 2030 and 2060 targets.

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评估中国 2030 年碳峰值目标:后 COVID-19 系统综述
中国于 2020 年宣布到 2030 年达到碳排放峰值并在 2060 年实现碳中和的承诺后,关于 2030 年碳排放峰值目标的可行性出现了大量争论。为了促进这一讨论,本综述采用了叙述性综述的方法,全面分析了有关 2020 年后中国碳排放预测领域的 73 篇出版物。研究结果表明,主流观点认为中国有望在 2027-2030 年间实现碳排放峰值目标,预计峰值排放范围约为 11.60-13.17 Gt CO2e。此外,本研究还对该领域的研究方法、参数选择和情景设置进行了全面分析。它为读者提供了该领域的全面概述,有助于潜在研究人员快速进入该领域。主要发现包括(1) 灰色模型、人工智能模型、IPAT 衍生模型和系统动力学模型是主要的预测模型,其中 IPAT 衍生模型适用于国家和地区领域,系统动力学模型适用于工业领域。(2) 情景设置通常以 5 年为基础,3-5 个情景被认为是合理的政策建议,因为它们提供了多方面的分析,同时避免了信息过载和资源浪费。(3) 需要认真对待 "碳峰值 "的定义。此外,它还强调了当前研究的不足和未来发展方向,并为中国 2030 年和 2060 年的目标提供了重要的政策建议。
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来源期刊
Renewable and Sustainable Energy Reviews
Renewable and Sustainable Energy Reviews 工程技术-能源与燃料
CiteScore
31.20
自引率
5.70%
发文量
1055
审稿时长
62 days
期刊介绍: The mission of Renewable and Sustainable Energy Reviews is to disseminate the most compelling and pertinent critical insights in renewable and sustainable energy, fostering collaboration among the research community, private sector, and policy and decision makers. The journal aims to exchange challenges, solutions, innovative concepts, and technologies, contributing to sustainable development, the transition to a low-carbon future, and the attainment of emissions targets outlined by the United Nations Framework Convention on Climate Change. Renewable and Sustainable Energy Reviews publishes a diverse range of content, including review papers, original research, case studies, and analyses of new technologies, all featuring a substantial review component such as critique, comparison, or analysis. Introducing a distinctive paper type, Expert Insights, the journal presents commissioned mini-reviews authored by field leaders, addressing topics of significant interest. Case studies undergo consideration only if they showcase the work's applicability to other regions or contribute valuable insights to the broader field of renewable and sustainable energy. Notably, a bibliographic or literature review lacking critical analysis is deemed unsuitable for publication.
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