4.7 Article

The impact of country risk on energy trade patterns based on complex network and panel regression analyses

期刊

ENERGY
卷 222, 期 -, 页码 -

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2021.119979

关键词

Energy trade patterns; Country risk; Complex network; Panel regression

资金

  1. National Natural Science Foundation of China [71874210, 71633006, 71874207, 71974208]
  2. National Social Science Foundation of China [18ZDA061, 19BJY076]
  3. Natural Science Foundation of Hunan Province [2020JJ5784]
  4. InnovationDriven Project of Central South University [2020CX049]

向作者/读者索取更多资源

This study examines the impact of country risk on energy trade patterns using network analysis and panel regression analysis. The findings show that country risk significantly affects the trade patterns of energy importers and exporters. Countries should identify their trade patterns and pay more attention to the driving force of country risk in the formation of energy trade patterns.
As an important component of developing strategies for most countries, global energy trade is easily affected by country risk. Therefore, it is necessary to determine the impact of country risk on energy trade patterns. This study analyzes the trade patterns of energy importers and exporters from the network perspective, and further explores the impacts of different kinds of country risk (political risk and economic risk) on trade patterns in a global sample from 2000 to 2016. Network analysis shows that in the global energy market, countries have different roles and occupy different central positions, with China and Russia being the most important countries. Panel regression analysis reveals that country risk significantly affects the trade patterns of energy importers and exporters. Importers should focus on the negative impacts of the economic risk, which decreases the importers? resource anti-control ability and worsens their relationships with important countries. For exporters, political and economic risk have a negative impact on their total trade volume and their resource control ability. This study suggests that countries identify their trade patterns and pay more attention to the driving force of country risk in the formation of energy trade patterns. ? 2021 Elsevier Ltd. All rights reserved.

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