Network Evolution and Influencing Factors of Global Trade Embodied Carbon Emission

被引:7
|
作者
Di, Yuna [1 ]
Cao, Jinjin [2 ]
Guo, Zhichao [2 ]
Khan, Muhammad Kaleem [3 ]
机构
[1] Beijing Technol & Business Univ, Sch Int Econ & Management, Beijing, Peoples R China
[2] Beijing Technol & Business Univ, Sch Econ, Beijing, Peoples R China
[3] Liaoning Univ, Asia Australia Business Coll, Liaoning, Peoples R China
关键词
global trade embodied carbon emission; carbon footprint; social network analysis; environment policy; economic development; environmental emissions; sustainable development; input-output table; INTERNATIONAL-TRADE; ECONOMIES; ENERGY; FLOWS;
D O I
10.3389/fenvs.2022.943939
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
As a global issue, climate warming has received extensive attention in recent years. Scientific identification of the network evolution, transfer path, and influencing factors of embodied carbon in trade is of great significance for the global joint response to climate change challenges. In this paper, based on the latest World Input-Output Database and carbon emissions data of 42 countries (the total carbon emissions of 42 countries account for about 80% of the world's total carbon emissions), we use social network analysis to describe the global trade embodied carbon emission from 2000 to 2014, and explore the relevant factors that influence global embodied carbon emissions. From the overall network, a small number of countries produce more carbon emissions, of which China is gradually in the center of the global carbon emissions network, while the United States and the European Union are always in the center. The point entry degree of developed economies is larger, while the point out degree of developing countries is higher, indicating that part of carbon emissions from developed countries are transferred to developing countries through economic links. Through QAP analysis, it is found that factors such as population, energy structure, geographic distance, final consumption and trade agreements are the main factors of the evolution of the embodied carbon network, and these factors can explain 42.3% of the pattern of the implied carbon network in trade. Moreover, the decrease of the degree of proximity indicates that the path of carbon emission correlation between countries is shortening and it is necessary for the world to join hands to respond to climate change.
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页数:13
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