...
首页> 外文期刊>Renewable & Sustainable Energy Reviews >How to achieve China's CO_2 emission reduction targets by provincial efforts? - An analysis based on generalized Divisia index and dynamic scenario simulation
【24h】

How to achieve China's CO_2 emission reduction targets by provincial efforts? - An analysis based on generalized Divisia index and dynamic scenario simulation

机译:如何通过省级努力实现中国的CO_2减排目标? - 基于广义Divisia指数和动态方案模拟的分析

获取原文
获取原文并翻译 | 示例

摘要

China has set a series of periodical CO2 emission reduction targets, with a goal of peaking CO2 emission by 2030. Due to China's large size and imbalanced development, the achievement of such targets depends on the performances of China's provinces. Under such a circumstance, this study aims to identify the driving forces and predict the trajectories of China's overall and provincial energy-related CO2 emissions. The generalized Divisia index decomposition analysis results show that investment sale expansion is the major driver of CO2 emission growth in China and most Chinese provinces, which is partly offset by the efficiency gains. Our dynamic scenario simulation results show that most Chinese provinces will achieve their CO2 intensity reduction targets but have difficulties in achieving their CO2 emission peak targets. Further integration of both efficiency and technology improvement is one effective approach toward peaking CO2 emissions. Provincial disparities exist, resulting in that different factors have different impacts in different Chinese provinces. Consequently, it is crucial to set up appropriate province-specific emission peak targets and raise province-specific emission reduction policies by considering the local realities.
机译:中国已经设定了一系列周期性的二氧化碳排放减少目标,目的是在2030年达到二氧化碳排放的目标。由于中国的大尺寸和发展不平衡,这类目标的实现取决于中国省份的表现。在这种情况下,本研究旨在确定驱动力并预测中国整体和省级能源相关二氧化碳排放的轨迹。广义Divisia分解分析结果表明,投资促销扩张是中国和大多数中国各省的二氧化碳排放增长的主要驱动因素,这部分抵消了效率收益。我们的动态情景仿真结果表明,大多数中国省份将实现其二氧化碳强度减少目标,但在实现二氧化碳排放峰目标方面具有困难。效率和技术改进的进一步整合是达到二氧化碳排放的一种有效方法。存在省级差异,导致不同的因素对不同的中国各省产生了不同的影响。因此,通过考虑当地现实,建立适当的省特定排放峰目标并提高省级排放减排政策至关重要。

著录项

  • 来源
    《Renewable & Sustainable Energy Reviews 》 |2020年第7期| 109892.1-109892.13| 共13页
  • 作者单位

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China|Shanghai Jiao Tong Univ Sch Int & Publ Affairs Shanghai 200030 Peoples R China|Shanghai Jiao Tong Univ China Inst Urban Governance Shanghai 200030 Peoples R China|Shanghai Inst Pollut Control & Ecol Secur Shanghai 200092 Peoples R China;

    Shanghai Univ Finance & Econ Sch Urban & Reg Sci Inst Finance & Econ Res Shanghai 200433 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    Nanjing Normal Univ Sch Business Nanjing 210023 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci & Engn Shanghai 200240 Peoples R China;

    China Univ Petr Sch Econ & Management Qingdao 266580 Peoples R China;

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

    CO2 emission reduction targets; Driving forces; Provincial disparities; Generalized Divisia index; Dynamic scenario simulation; Governance;

    机译:二氧化碳排放减少目标;驱动力;省级差异;广义Divisia指数;动态情景模拟;治理;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号