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主办单位:煤炭科学研究总院有限公司、中国煤炭学会学术期刊工作委员会
“一带一路”沿线国家隐含碳排放转移特征研究
  • Title

    Research on the characteristics of implicit carbon emission transferin countries along the Belt and Road

  • 作者

    方国昌黄蒙

  • Author

    Fang Guochang;Huang Meng

  • 单位

    南京财经大学经济学院南京财经大学应用数学学院

  • Organization
    School of Economics, Nanjing University of Finance and Economics
    School of Applied Mathematics, Nanjing University of Finance and Economics
  • 摘要
    探讨了“一带一路”沿线国家隐含碳排放转移特征。为明晰“一带一路”倡议实施前后相关国家碳排放变动,以2012年、2020年世界多区域投入产出(MRIO)表为基础,构建了一个复杂的联动网络结构模型,探索了“一带一路”沿线国家隐含碳排放流动网络的结构特征。研究结果表明:“一带一路”沿线国家碳排放空间格局保持稳定状态,中国、俄罗斯、伊朗和印度稳居隐含碳排放高位;中心国家的入度指标在2012年与2020年前后有较大幅度的波动,主要集中在中国、孟加拉国、印度、沙特阿拉伯、伊拉克、以色列;整体碳转移网络呈现出明显的“核心—边缘”形态,“一带一路“沿线国家经济带北线和南线是碳排放量较大的区域,大部分国家通过与核心节点的联系向中心靠拢。
  • Abstract
    This article explores the characteristics of implicit carbon emission transfer in countries along the Belt and Road. In order toclarify the changes in carbon emissions of relevant countries before and after the implementation of the Belt and Road Initiative, a complexnetwork structure model based on the 2012 and 2020 World Multi-Regional Input-Output ( MRIO) tables is constructed. This modelinvestigates the structural characteristics of the implicit carbon emission flow network in countries along the Belt and Road. Research showsthat the spatial pattern of carbon emissions in countries along the Belt and Road remains stable, with China, Russia, Iran, and Indiaconsistently having high implicit carbon emissions. The in-degree index of central countries experienced significant fluctuations around2012 and 2020, primarily concentrated in China, Bangladesh, India, Saudi Arabia, Iraq, and Israel. The overall carbon transfer networkexhibits a clear “core-periphery” structure, where the northern and southern economic belts of countries along the Belt and Road areregions with higher carbon emissions, most countries are gradually moving closer to the core nodes through their connections.
  • 关键词

    一带一路隐含碳排放投入产出表复杂网络

  • KeyWords

    Belt and Road Initiative; implicit carbon emissions; input-output table; complex networks

  • 基金项目(Foundation)
    国家自然科学基金资助项目(72774092);国家社会科学基金重大项目(22&ZD136);江苏省碳达峰碳中和重大科技示范项目(BE2022612-4)
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