中国产业全碳足迹网络结构——基于投入产出与社会网络分析

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英文篇名：Network Structure of Industrial Total Carbon Footprint in China:Based on Input-Output and Social Network Analysis 作者：杨传明 ; 周霞 英文作者：Yang Chuanming;Zhou Xia;Business School, Suzhou University of Science and Technology; 关键词：产业全碳足迹 ; 投入产出 ; 社会网络分析 英文关键词：industrial total carbon footprint;;input-output method;;social network analysis 中文刊名：科技管理研究 英文刊名：Science and Technology Management Research 机构：苏州科技大学商学院; 出版日期：2019-07-10 出版单位：科技管理研究 年：2019 期：13 基金：国家社会科学基金项目“新常态下中国产业全碳足迹关联复杂网络及协同减排研究”(17BGL146);; 江苏省高校哲学社会科学重点项目“时空依赖视角下长三角城市群雾霾污染动态关联网络及协同治理研究”(2018SJZDI075);; 江苏高校青蓝工程优秀青年骨干教师项目(2018JSQL028) 语种：中文; 页：266-272 页数：7 CN：44-1223/G3 ISSN：1000-7695 分类号：X322;F121.3

摘要

应用修正投入产出模型和社会网络分析解构中国产业部门之间的全碳足迹关联关系,并分析该网络的整体、节点和社区特征。研究表明:(1)中国产业部门的全碳足迹通达性良好,呈现复杂的网络关联关系;(2)其中电热力生产及供应业、化学工业、交通运输仓储和邮电通信业、炼焦煤气及石油加工业等是产业全碳足迹网络的发散中心,建筑业、交通运输设备制造业、其他服务业、通用专业设备制造业和电气机械及器材制造业是网络集聚中心;(3)产业全碳足迹网络存在显著的社团结构,包含碳原因、碳内部作用、碳结果和碳中介4个社区。
        In this paper, the modified input-output model and social network are used to analyze the relationship between the total carbon footprint of industrial departments in China, and the overall, node and community characteristics of the network are analyzed. The results show that:(1) The total carbon footprint of the industrial sector in China is well accessible and presents a complex network relationship.(2) Among them, the electric and thermal production and supply industry, the chemical industry, the transportation and warehousing and post and telecommunications industries, the coke-oven gas and petroleum processing industry are the divergence centers of the industrial all-carbon footprint network, and the construction industry, transportation equipment manufacturing industry, other service industries, general professional equipment manufacturing industry and electrical machinery and equipment manufacturing industry are the network agglomeration centers.(3) The industrial total carbon footprint network has a significant community structure, including four communities: carbon cause, carbon internal role, carbon results and carbon intermediary.

引文

[1]PANDEY D, AGRAWAL M, PANDEY J S.Carbon footprint:current methods of estimation[J]. Environmental Monitoring&Assessment, 2011,178(1/4):135-160.
    [2]WIEDMANN T, MINX J.A definition of'carbon footprint'[J].Ecological Economics Research Trends, 2008,1:1-11.
    [3]耿涌,董会娟,郗凤明,等.应对气候变化的碳足迹研究综述[J].中国人口·资源与环境, 2010,20(10):6-12.
    [4]OZTURK I, ACARAVCI A. The long-run and causal analysis of energy, growth, openness and financial development on carbon emissions in Turkey[J].Energy Economics, 2013,36:262-267.
    [5]张清,郑丹,许宪硕.中国能源碳足迹生态压力变动的因素分解研究[J].干旱区资源与环境,2015,29(4):41-46.
    [6]WANG Z, YANG Y, WANG B.Carbon footprints and embodied CO2transfers among provinces in China[J].Renewable&Sustainable Energy Reviews, 2018,82:1068-1078.
    [7]ZHENG H, FATH B D, ZHANG Y.An urban metabolism and carbon footprint analysis of the Jing-Jin-Ji regional agglomeration[J].Journal of Industrial Ecology, 2017, 21(1):166-179.
    [8]CHEN G W, WIEDMANN T, WANG Y F, et al. Transnational city carbon footprint networks:exploring carbon links between Australian and Chinese cities[J].Applied Energy, 2016,184:1082-1092.
    [9]冯玲,吝涛,赵千钧.家庭能耗与碳足迹研究进展[J].生态科学,2010,29(2):161-170.
    [10]DRUCKMAN A, JACKSON T. The carbon footprint of UK households 1990-2004:a socio-economically disaggregated, quasimulti-regional input-output model[J]. Ecological Economics,2009,68(7):2066-2077.
    [11]WIEDENHOFER D, GUAN D B, LIU Z,et al.Unequal household carbon footprints in China[J].Nature Climate Change,2017,7(1):75-80.
    [12]CHANG C C, CHANG K C, LIN W C,et al.Carbon footprint analysis in the aquaculture industry:assessment of an ecological shrimp farm[J]. Journal of Cleaner Production, 2017,168:1101-1107.
    [13]陈越,陈红敏.改进的产业碳关联系数及应用:以上海为例[J].中国环境科学,2013, 33(8):1518-1528.
    [14]周霞,杨传明.新旧常态下中国产业全碳足迹对比分析[J].科技管理研究,2018,38(14):230-236.
    [15]钱明霞,路正南,王健.产业部门碳排放波及效应分析[J].中国人口·资源与环境,2014, 24(12):82-88.
    [16]CARBON TRUST. Carbon footprints in the supply chain:the next step for business[J]. The Carbon Trust, 2007,69(10):59-63.
    [17]卢小宏,黄晶,史磊刚,等.北京市主要农作模式的碳效益分析[J].中国农业大学学报, 2012,17(2):48-53.
    [18]谷艾婷,吕佳,王震.中国木质林产品碳足迹的产业链分布特征分析[J].环境科学与技术, 2014(12):247-252.
    [19]徐盈之,郭进.开放经济条件下国家碳排放责任比较研究[J].中国人口·资源与环境, 2014, 24(1):55-63.
    [20]POMPONI F, MONCASTER A. Measuring embodied carbon dioxide equivalent of buildings:a review and critique of current industry practice[J].Energy and Buildings, 2017, 140:68-80.
    [21]BLACKHURST M, HENDRICKSON C, SELSI V J.Direct and indirect water withdrawals for US industrial sectors[J].Environmental Science&Technology, 2010,44(6):2126-2130.
    [22]汪小凡,李翔,陈关荣.复杂网络理论及其应用[M].北京:清华大学出版社,2006.