
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>The fossil energy trade relations among BRICS countries
Abstract This paper analyzes the competitiveness and bilateral trade complementarities of BRICS countries (i.e., Brazil, Russia, India, China, and South Africa) with respect to their fossil energy trade and explores the reasons for changes in fossil energy complementarities. By introducing the logarithmic mean divisia index (LMDI) method, this study links the revealed comparative advantage (RCA) index with the trade complementarity index (TCI), attributing the change in complementarities to export and import revealed comparative advantages associated with both sides. The results show that, in the coal trade among BRICS countries, China’s competitiveness is declining annually while Russia shows an opposite trend. The cooperation between China and Russia has steadily expanded in the crude oil trade. Although India and Russia are highly complementary in the crude oil trade, its drivers are not stable. Finally, in the natural gas trade among BRICS countries, Russia always has a stable and outstanding supply capacity.
- Anhui University of Finance and Economics China (People's Republic of)
- Beijing Institute of Technology China (People's Republic of)
- Southwestern University of Finance and Economics China (People's Republic of)
- Anhui University of Finance and Economics China (People's Republic of)
- Beijing Institute of Technology China (People's Republic of)
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).35 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
