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Analysis of multiple drivers of air pollution emissions in China via interregional trade

机译:通过区间贸易分析中国空气污染排放的多重驱动因素

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摘要

Severe haze problems in China have attracted substantial attention. End-of-pipe measures have been implemented to mitigate air pollutant emissions in different industrial sectors. However, interregional trade can lead to geological separation of the stages of supply chains (i.e., primary input, production, final sale and consumption), and thus, emissions can be driven by cross-regional drivers (i.e., primary inputs, final sales and consumption), and pollutants can transfer among regions via supply chains. Inequity exists in production-side measures of emission reductions, which do not account for the effects of cross-regional drivers. In this study, we use a multiregional input-output model in the year 2012 to calculate the emissions driven by cross-regional drivers and to trace emission flows along supply chains in China, aiming to inform policymaking on fine particulate matter (PM2.5) mitigation and to provide additional information about shared responsibilities among provinces. We find that the Central (including Anhui and Henan) is the largest emitter outside the Central Coast in order to meet the demand for sales within the Central Coast. Specifically, the cross-provincial sale of products from the construction sector drives massive emissions, especially in Jiangsu province (located in the Central Coast). Therefore, the Central Coast should bear some responsibility to help provinces located in the Central reduce emissions. About half of emissions driven by primary inputs in Beijing-Tianjin are emitted in other regions. However, in general, emissions (except for ammonia) are more likely to be driven by final sales of other provinces than by primary inputs. The supply chain perspective can help gain a better understanding of the impacts of trade-related drivers on emission patterns and advocate just and effective policies considering cleaner production and shared responsibilities. (C) 2019 Elsevier Ltd. All rights reserved.
机译:中国严重的阴霾问题引起了大量的关注。已经实施了管道端措施以减轻不同工业部门的空气污染物排放。然而,区域间贸易可以导致供应链阶段的地质分离(即主要投入,生产,最终销售和消费),因此,可以由跨区域司机(即主要投入,最终销售和最终销售)驱动排放消费),污染物可以通过供应链在地区转移。减排的生产方措施的不公平存在,这不考虑跨区域司机的影响。在这项研究中,我们在2012年使用多洲投入输出模型来计算跨区域驱动因素驱动的排放,并沿着中国供应链进行排放流量,旨在向细颗粒物质(PM2.5)提供政策制作减缓并提供有关省份之间共同责任的额外资料。我们发现中央(包括安徽和河南)是中央海岸以外最大的发射器,以满足中央海岸销售需求。具体而言,施工部门的跨省级销售产品推动巨大排放,特别是在江苏省(位于中央海岸)。因此,中央海岸应承担一些责任,帮助位于中央减少排放的省份。大约一半由北京 - 天津的主要投入驱动的排放排放在其他地区。但是,一般而言,排放(除氨外)更有可能受到其他省份的最终销售而不是通过主要投入的驱动。供应链透视可以帮助更好地了解贸易有关司机对排放模式的影响,并倡导考虑清洁生产和共享责任的公正和有效政策。 (c)2019 Elsevier Ltd.保留所有权利。

著录项

  • 来源
    《Journal of Cleaner Production 》 |2020年第2期| 118507.1-118507.12| 共12页
  • 作者单位

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China|Wuhan Univ Sch Resource & Environm Sci Wuhan 430079 Hubei Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China;

    Chinese Univ Hong Kong Dept Geog & Resource Management Inst Environm Energy & Sustainabil Hong Kong Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China|China Three Gorges Corp Inst Sci & Technol Beijing 100038 Peoples R China;

    Peking Univ Coll Urban & Environm Sci Lab Earth Surface Proc Beijing 100871 Peoples R China;

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

    Air pollution; Trade; Input-output model; Mitigation policy; Green consumption;

    机译:空气污染;贸易;输入输出模型;缓解政策;绿色消费;

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