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首页> 外文期刊>Environmental Science & Technology >Multiregional Input-Output Analysis of Spatial-Temporal Evolution Driving Force for Carbon Emissions Embodied in Interprovincial Trade and Optimization Policies: Case Study of Northeast Industrial District in China
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Multiregional Input-Output Analysis of Spatial-Temporal Evolution Driving Force for Carbon Emissions Embodied in Interprovincial Trade and Optimization Policies: Case Study of Northeast Industrial District in China

机译：跨省贸易中碳排放时空演变驱动力的多区域投入产出分析及优化政策：以中国东北工业区为例

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src="http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/esthag/2018/esthag.2018.52.issue-1/acs.est.7b04608/20171226/images/medium/es-2017-046083_0010.gif">In the counties with rapid economy and carbon emissions (CEs) growth, CEs embodied in interprovincial trade (CEs-PT) significantly impacts the CEs amount and structure and represents a key issue to consider in CEs reduction policies formulation. This study applied EEBT and two-stage SDA model to analyze the characteristics and driving force of spatial-temporal evolution for net CEs-PT outflow in the Northeast Industrial District of China (NID). We found that, during 1997–2007, the net CEs-PT flowed out from NID to 16 south and east provinces, then to 23 provinces all over China, and its amount has increased 216.798Mt (by 211.67% per year). The main driving forces are technology and demand (further decomposed into structure and scale matrix); the contribution are 71.6418 Mt and 145.1562 Mt. Then, we constructed coupling relationship model and took the top three industries with the greatest net CEs-PT outflow (farming, forestry, animal husbandry and fisheries, electricity and heat production and supply, petroleum processing, coking, and nuclear fuel processing) as examples, adjusted the interprovincial trade constructions, scales, and objects, to reduce the CEs-PT with lower costs, greater effect, and more equitability. The achievement could provide reference for formulating CEs reduction policies for similar areas in the world characterized by rapid growth of economy and CEs.
机译：src =“ http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/esthag/2018/esthag.2018.52.issue-1/acs.est.7b04608/20171226/images/medium /es-2017-046083_0010.gif“>在经济和碳排放量快速增长的县，体现在省际贸易中的CEs（CEs-PT）极大地影响了CEs的数量和结构，是CEs中需要考虑的关键问题减少政策的制定。本研究应用EEBT和两阶段SDA模型分析了中国东北工业区（CE）-PT净流出的时空演化特征和驱动力。我们发现，在1997-2007年期间，净CEs-PT从NID流出到南部和东部的16个省，然后又流向了中国的23个省，其数量增加了216.798Mt（每年增加211.67％）。主要驱动力是技术和需求（进一步分解为结构和规模矩阵）；贡献为71.6418吨和145.1562吨。然后，我们建立了耦合关系模型，并以CEs-PT净流出量最大的前三个行业（农业，林业，畜牧和渔业，电力和热力生产和供应，石油加工，炼焦和核燃料加工）为例。调整了省际贸易的结构，规模和对象，以降低成本，提高效果和提高公平性来减少CEs-PT。这一成果可为制定以经济和消费电子产品快速增长为特征的世界上类似地区的消费电子产品减少政策提供参考。

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  • 来源
    《Environmental Science & Technology》 |2018年第1期|346-358|共13页
  • 作者

    Hao Cheng; Suocheng Dong; Fujia Li; Yang Yang; Shantong Li; Yu Li;

  • 作者单位

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China,College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China,College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China,College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;

    Department of Development Strategy and Regional Economy, Development Research Center, State Council, Beijing 100010, China;

    Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China,College of Resource and Environment, University of Chinese Academy of Sciences, Beijing 100049, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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