资源科学 ›› 2017, Vol. 39 ›› Issue (12): 2420-2429.doi: 10.18402/resci.2017.12.20

• • 上一篇    

世界主要国家碳排放影响因素分析——基于变系数面板模型

韩梦瑶1,2(), 刘卫东1,2(), 唐志鹏1,2, 夏炎3   

  1. 1. 中国科学院地理科学与资源研究所,北京100101
    2. 中国科学院区域可持续发展分析与模拟重点实验室,北京100101
    3. 中国科学院科技政策与管理科学研究所能源与环境政策研究中心,北京100190
  • 收稿日期:2017-09-07 修回日期:2017-11-14 出版日期:2017-12-31 发布日期:2017-12-31
  • 作者简介:

    作者简介:韩梦瑶,女,河北沧州人,助理研究员,主要研究方向为经济地理与区域发展。E-mail:hanmy@igsnrr.ac.cn

  • 基金资助:
    中华人民共和国科学技术部国家重点研发计划项目 (2016YFA0602804)

Carbon emission impact factor analysis of major countries based on varying coefficient panel modeling

Mengyao HAN1,2, Weidong LIU1,2(), Zhipeng TANG1,2, Yan XIA3   

  1. 1. Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
    2. Key Laboratory of Regional Sustainable Development Modeling,Chinese Academy of Sciences,Beijing 100101,China
    3. Center for Energy and Environmental Policy research,Institute of Policy and Management,Chinese Academy of Sciences,Beijing 100190,China
  • Received:2017-09-07 Revised:2017-11-14 Online:2017-12-31 Published:2017-12-31

摘要:

碳减排不仅是中国政府面临的重要问题,同时是国际社会逐渐关注的热点话题。中国作为最大的温室气体排放国,借鉴发达国家经济发展及碳排放演变过程,有助于为自身碳减排打下坚实的基础。本文首先对比了不同国家碳排放及碳强度的变化趋势,然后利用变系数面板模型,从经济发展、产业结构、城镇化率、能源结构着手探究碳排放和碳强度的关键影响因素的作用规律,分析中国与世界主要国家碳排放的影响因素的异同。整体来看,美国、日本、英国、法国、意大利、加拿大等国家均已出现不同程度的碳排放总量拐点。对比2014年不同国家碳排放强度,中国碳排放强度为1.24kg/美元,远高于全球平均水平。不同影响因素对于不同国家碳排放影响程度各不相同,其中城市化率、可再生能源占比等对于碳排放降低均有着显著的作用。综合分析结果,从全球的角度对比不同国家经济增长、碳排放变化、产业结构变化、能源结构变化等规律,对于中国应对全球气候变化、实现碳减排目标有着重要的借鉴性意义。

关键词: 碳排放强度, 全球化, 影响因素, 变系数, 面板模型

Abstract:

China’s carbon emission reduction is an essential issue for the Chinese government and also of international concern. Since China has become the largest carbon emitter,analyzing the evolution of economic development and carbon emissions of developed countries as well as carrying out detailed analyses on China’s carbon emission and carbon intensity changes will be an essential reference for China's carbon reduction process. Through detailed analysis of trends in carbon emissions and carbon intensities in different countries,we applied the variable coefficient panel model to assess key factors including the industrial structure,energy structure,urbanization rate and economic development. Based on the above-mentioned results,we compared differences in carbon emissions and carbon intensities between China and major countries in the world with different influence of basic impact factors taken into consideration. Overall,the United States,Japan,United Kingdom,France,Italy and Canada have reached a carbon emission peak to varying degrees. In contrast to carbon intensities in different countries,China’s intensity is quantified as 1.24kg/USD,which is still much higher than the global average. Overall,different factors have different degrees of influence on countries,but the urbanization rate and renewable energy ratio contribute significantly to carbon emission reduction when compared with others. Comparing the economic growth,carbon emissions,industrial structure and energy structure of different countries will lay a solid foundation for China and provide an essential support for the Chinese government to deal with global climate change and achieve carbon emission reduction targets at a macro scale.

Key words: carbon intensity, globalization, impact factor, variable coefficient, panel model