Release time:2025-11-04  Hits:

• Impact Factor:4.797
• DOI number:10.3390/ijerph19137808
• Journal:International Journal of Environmental Research and Public Health
• Key Words:nuclear power products; greenhouse gas emissions; international trade; network position
• Abstract:Since its birth, nuclear power has been a hot topic of academic research while being subject to much controversy. As a new green energy source with zero greenhouse gas (GHG) emissions, nuclear power plays a vital role in combatting global climate change. Based on global databases and various empirical analysis methods, this study aimed to explore the changes in the global nuclear power product trade (GNT) network and its impact on GHG emissions from 2001 to 2018. The main findings are summarized as follows. (1) Global trade in nuclear power products and GHG emissions showed a non-linear and fluctuating growth during the research period. The geographical pattern of GNT not only has prominent spatial heterogeneity, but it also has some spatial reverse coupled with the spatial distribution of global GHG emissions. (2) The overall regression analysis finds that nuclear power product trade had a significant suppressive effect on global GHG emissions and had the greatest influence among all the selected variables. (3) As for the impact of the GNT network on GHG emissions, nuclear power product trade was better able to curb GHG emissions in countries with the dominate positions compared to those with affiliated positions, which reflects the heterogeneous effect of nuclear power product trade on GHG emissions. These results provide further evidence for the dialectical debate on whether nuclear power products contribute to GHG emissions reductions. This paper also provides corresponding recommendations for policymakers.
• Note:扬州大学人文社会科学三级权威期刊
• Co-author:Qin Xionghe
• First Author:Li Tingzhu
• Indexed by:Research Atricle
• Correspondence Author:Du Debin,Wang Xueli
• Document Code:7808
• Discipline:Natural Science
• First-Level Discipline:Geography
• Document Type:Journal
• Volume:19
• Issue:13
• ISSN No.:1661-7827
• Translation or Not:no
• Date of Publication:2022-06-25
• Included Journals:SCI、SSCI