Analysis of trends in the financial sector of the global fuel and energy complex

被引:0
|
作者
Niyazbekova, Shakizada [1 ,2 ]
Balova, Suzana [3 ]
Bulakbay, Zhanat [4 ]
Maisigova, Leila [5 ]
Troyanskaya, Marija [6 ]
机构
[1] Moscow Witte Univ, Sci & Educ Ctr Sustainable Dev, Moscow, Russia
[2] Financial Univ Govt Russian Federat, Dept Banking & Financial Markets, Moscow, Russia
[3] Financial Univ Govt Russian Federat, Logist & Mkt Dept, Moscow, Russia
[4] LN Gumilyov Eurasian Natl Univ, Dept Finance, Nur Sultan, Kazakhstan
[5] Ingush State Univ, Dept Accounting Anal & Audit, Magas, Russia
[6] Orenburg State Univ, Dept State & Municipal Adm, Orenburg, Russia
来源
AMAZONIA INVESTIGA | 2023年 / 12卷 / 67期
关键词
global; trend; driver; financing; energy; future;
D O I
10.34069/AI/2023.67.07.31
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
Understanding the global impact of energy on the economy and the financial sector is crucial for improving their interaction, especially within the fuel and energy complex (FEC). This study aims to identify the primary investment drivers for the financial sector within the FEC. It incorporates opinions, conclusions, and forecasts from leading international organizations that monitor the financial sector and the FEC. Through comprehensive analysis, key investment drivers were identified, including renewable and nuclear energy, risks associated with nuclear energy usage, and the impact of traditional fossil fuel sources. The analysis revealed distinct clusters of investment drivers that shape the future development of the financial sector within the FEC. The study determined the rank, median, and relative ranking of investment attractiveness for each cluster and investment vector. This information is valuable for finance and economics specialists and holds scientific significance for experts studying globalization and energy sector trends. The complex cluster analysis used provides a structured system of potential investment drivers for the development of the financial sector within the FEC. This framework is applicable to related studies relying on expert opinions and forecasts.
引用
收藏
页码:352 / 373
页数:22
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