Complex network analysis of carbon emission transfers under global value chains

• 全文链接
• 请求原文

作   者：

Wang, Yanfang;  Yao, Jingmin; 

作者机构：

Beijing Normal Univ;  Jiangnan Univ; 

关键词：

ENERGY;  ENVIRONMENT;  Quadratic assignment procedure;  CLIMATE-CHANGE;  RESPONSIBILITY;  Technology gaps;  INTERNATIONAL-TRADE;  DATABASE;  Carbon emission transfer;  Complex network;  GROWTH;  WORLD;  CONSUMPTION;  Global value chains;  Environmental Kuznets curve (EKC); 

期刊名称：

Environmental Science and Pollution Research

i s s n：

0944-1344

年卷期：

2022 年 29 卷 31 期

页   码：

47673-47695

页   码：

摘   要：

Accompanied with the increasing complicated global value chain (GVC) networks is the carbon emission transfers among countries. Utilizing the complex network analysis alongside quadratic assignment procedure (QAP), this paper detects the community structure and influencing forces of the emission transfers under GVCs. The results imply that the bipolar structure of the network transformed gradually to tripolar owing largely to the surging of carbon emissions from China. Evidence on the existence of environmental Kuznets curve (EKC) in the emission transfers from high-income countries to low-income countries, and a U-shape relationship transfers in the reverse direction, suggesting that growing carbon emissions from both low- and high-income countries transferred to other high-income countries gradually. Gaps in technology, especially in patent applications, between source and destination countries played an important role therein.