The impact of country risk on energy trade patterns based on complex network and panel regression analyses
- 1. Institute of Metal Resources Strategy, Central South University, Changsha, 410083 (China)
- 2. School of Mathematics and Statistics, Central South University, Changsha, 410083 (China)
- 3. School of Business Administration, Hunan University, Changsha, 410082 (China)
Description
Highlights: • Energy trade patterns are characterized by network parameters. • Different trade patterns are considered from importers and exporters perspectives. • Different countries play different roles in global fossil fuel trade network. • Importers should focus on the negative impacts of the economic risk. • Political and economic risk negatively affect the trade patterns of exporters. 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.
Availability note (English)
Available from http://dx.doi.org/10.1016/j.energy.2021.119979Additional details
Identifiers
- DOI
- 10.1016/j.energy.2021.119979;
- PII
- S0360544221002280;
Publishing Information
- Journal Title
- Energy (Oxford)
- Journal Volume
- 222
- Journal Page Range
- vp.
- ISSN
- 0360-5442
- CODEN
- ENEYDS
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53123510
- Subject category
- S29: ENERGY PLANNING, POLICY AND ECONOMY;
- Descriptors DEI
- EXPORTS; IMPORTS; MARKET; NETWORK ANALYSIS; REGRESSION ANALYSIS
- Descriptors DEC
- MATHEMATICS; STATISTICS; TRADE
Optional Information
- Copyright
- Copyright (c) 2021 Elsevier Ltd. All rights reserved.