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首页> 外文期刊>Journal of Cleaner Production >How to achieve the dual-control targets of China's CO_2 emission reduction in 2030? Future trends and prospective decomposition
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How to achieve the dual-control targets of China's CO_2 emission reduction in 2030? Future trends and prospective decomposition

机译:如何实现中国到2030年二氧化碳减排的双重控制目标?未来趋势和预期分解

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摘要

Environmental problems are escalating with rapid economic development; the Chinese government actively follows a low-carbon development pattern and has made CO2 emissions reduction commitments for 2030. In the future, how to realize the 2030 CO2 emissions peak target and intensity reduction target has become an urgent problem for China to solve. This study aims to predict China's CO2 emissions trends by 2030 under different scenarios and to calculate the reduction potential of each sector and the impact factors separately. A comprehensive forecasting model was developed in this study based on the Kaya identity, Log-Mean Decomposition Index (LMDI) model and Scenario Analysis methods. According to this model, China's CO2 emissions will grow to 112.89 million tons in 2030 but not reach its peak under the target scenario (TS), while the CO2 emissions intensity will be 0.40 ton per 10,000 RMB, achieving the "Paris Commitment" for CO2 intensity reduction targets. In terms of emissions reduction factors, such as economic growth, energy technology progress and energy structure optimization are the main factors to achieve CO2 reduction targets, with the annual average mitigation potential of 8.83 million tons, 9.41 million tons and 5.80 million tons, respectively. In terms of China's six economic sectors, the 2nd sector(industrial sector) will have the largest reduction potential during 2016-2030, with an average annual reduction of 23.24 million tons, while the reduction from energy technology advancements contributes the most, followed by economic growth and energy structure optimization, with the annual average reduction rate of 44.35%, 30.92% and 19.64%, respectively. The key pathways for reducing China's CO2 emissions in the future are to adjust the economic development model in the 2nd, 4th, and 6th sectors, to improve the energy efficiency of the 2nd sector, and to optimize the energy consumption structure of the 1st, 2nd, and 6th sectors. Finally, we suggest that China should construct mutually compatible mitigation policies networks and focus on the superposition effect of various subsystem policy objectives to realize the "Paris commitment" for China's 2030 CO2 mitigation targets. (C) 2018 Elsevier Ltd. All rights reserved.
机译:随着经济的快速发展,环境问题日益严重;中国政府积极遵循低碳发展模式,做出了2030年CO2减排承诺。未来,如何实现2030年CO2排放峰值和强度降低目标已成为中国亟待解决的问题。这项研究旨在预测到2030年中国在不同情景下的二氧化碳排放趋势,并分别计算每个行业的减排潜力和影响因素。本研究基于Kaya身份,对数均值分解指数(LMDI)模型和方案分析方法,开发了一种综合的预测模型。根据该模型,中国的二氧化碳排放量到2030年将增长至1.1289亿吨,但未达到目标情景下的峰值,而二氧化碳排放强度将为每万元人民币0.40吨,实现了“巴黎承诺”。用于减少二氧化碳强度的目标。就减排量而言,如经济增长,能源技术进步和能源结构优化是实现二氧化碳减排目标的主要因素,年均减排潜力分别为883万吨,941万吨和580万吨。就中国的六个经济部门而言,第二部门(工业部门)在2016-2030年的减排潜力最大,年均减少2324万吨,而能源技术进步的减少贡献最大,其次是经济。增长和能源结构优化,年均下降率分别为44.35%,30.92%和19.64%。未来减少中国二氧化碳排放的关键途径是调整第二,第四和第六产业的经济发展模式,提高第二产业的能源效率,优化第一,第二产业的能源消耗结构。和第6个部门。最后,我们建议中国应建立相互兼容的减排政策网络,并着眼于各种子系统政策目标的叠加效应,以实现中国对2030年二氧化碳减排目标的“巴黎承诺”。 (C)2018 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production》 |2019年第10期|1251-1263|共13页
  • 作者

    Wang Di; He Wei; Shi Ruyi;

  • 作者单位

    China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China|China Univ Min & Technol, Jiangsu Energy Econ & Management Res Base, Xuzhou 221116, Jiangsu, Peoples R China|China Univ Min & Technol, Postdoctoral Stn Environm Sci & Engn, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Management, Xuzhou 221116, Jiangsu, Peoples R China|China Univ Min & Technol, Jiangsu Energy Econ & Management Res Base, Xuzhou 221116, Jiangsu, Peoples R China;

    China Univ Min & Technol, Sch Publ Policy & Management, Xuzhou 221116, Jiangsu, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Carbon dioxide emissions; Reduction potential; Scenario prediction; LMDI model;

    机译:二氧化碳排放量减排潜力情景预测LMDI模型;

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