资源科学 ›› 2017, Vol. 39 ›› Issue (12): 2335-2343.doi: 10.18402/resci.2017.12.12

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基于环境生产技术效率的中国2030年区域减排目标路径研究

姚晔1,2(), 夏炎1,2(), 范英3, 蒋茂荣1,2   

  1. 1. 中国科学院战略咨询研究院,北京 100190
    2. 中国科学院大学,北京100049
    3. 北京航空航天大学,北京 100191
  • 收稿日期:2017-09-07 修回日期:2017-10-05 出版日期:2017-12-31 发布日期:2017-12-31
  • 作者简介:

    作者简介:姚晔,女,河北定兴县人,硕士生,主要研究方向为能源经济、能源环境政策,气候变化与节能减排。E-mail:yaoye215@mailsucas.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);国家自然科学基金项目(71573248)

The pathway of Chinese regional carbon emission in 2030: a research based on ZSG environmental production technology efficiency

Ye YAO1,2(), Yan XIA1,2(), Ying FAN3, Maorong JIANG1,2   

  1. 1. Institute of Science and Development,Chinese Academy of Sciences,Beijing 100190,China
    2. University of Chinese Academy of Sciences,Beijing 100049,China
    3. School of Economics and Management,Beihang University,Beijing 100191,China
  • Received:2017-09-07 Revised:2017-10-05 Online:2017-12-31 Published:2017-12-31

摘要:

目前,中国为进一步强化应对气候变化的行动安排,提出了到2030年,单位国内生产总值CO2排放比2005年下降60%~65%的减排目标。由于不同地区的技术水平、经济发展阶段不同,造成各行业的能源使用效率、节能潜力也存在差异,等量的碳减排所对应的技术效率也大相径庭。因此,国家分配给各地区、各行业的差异化减排目标将直接影响各地区的产业结构以及相关的能源环境政策。在此背景下,本文把网络DEA模型与投入产出技术相结合,创新地构建了ZSG-网络DEA模型,刻画了在2030碳减排目标既定的约束下,实现各地区与各行业环境生产技术效率最大化的减排路径。结果表明,基于环境生产技术效率的视角,不同地区、不同行业实现2030年的减排目标的路径差异非常明显。其中,中部地区、北部沿海以及西北地区的碳排放量呈现出自2010年有较大幅度增长,2020年后保持稳定增长的趋势;而东部沿海地区在2005—2030年间的碳排放增长趋势较为缓慢,但其碳排放占全国总排放比例降幅最大,为8%。在行业减排贡献上,采矿业、非金属矿物制品业等高耗能行业面临的减排形势更为严峻,其碳强度下降水平应远超过INDC的65%的目标。总体而言,INDC目标对于中国各地区碳强度下降有积极作用。

关键词: 减排路径, 投入产出技术, 网络DEA, 环境生产技术效率, 中国

Abstract:

China has enhanced its actions on climate change,including the intention to lower 2030 carbon intensity by 60%~65% from 2005 levels. One the one hand,we should admit that the corresponding technical efficiency is dramatically different when completing the same reduction rate of carbon emissions in different regions given the diversity in regional energy conservation foundation and economic development. On the other hand,the energy efficiency and energy saving potential is also different across sectoral levels. The CO2 emission reduction target for different regions will directly affect regional industrial structure adjustment and the strategy of different energy production and consumption. Therefore,it is worthwhile to build the scientific distribution mechanism for each region and sector under a 2030 emission reduction target. In order to answer the above questions we combined the principle of input-output table with ZSG-DEA modeling to analyze the pathway to Chinese regional emission reduction in 2030. We found that different sectors and regions have their own emission reduction pathways under the 2030 national carbon emissions reduction targets. For northern and eastern coasts and central regions,the emission reduction targets in 2030 will be stricter than ever. Furthermore,the reduction target of several energy-intensive sectors,such as the mining and non-metallic mineral products industries,will exceed national average standards,which means these sectors need to make more efforts to shift towards low carbon development. Overall,the INDC target has a positive effect on the decrease in carbon intensity for each region in China.

Key words: emission reduction pathway, input-output technique, network-DEA, efficiency of environmental production technology, China