Research on the Indicator System of Overseas Interest Security Risks for Energy Enterprises

Hanxiong Xiao ()
Additional contact information
Hanxiong Xiao: State Grid Energy Research Institute

A chapter in Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026), 2026, pp 83-92 from Springer

Abstract: Abstract To address the complex safety risks faced by Chinese energy enterprises in overseas projects, this study constructs a literature database, text database, and case database, and identifies 12 core risk categories through text mining and grounded theory. Using R-type clustering and entropy weight methods, a hierarchical risk indicator system covering macro and meso levels is established, with key weights assigned to indicators such as natural environment restrictions and economic stability. The research provides a scientific tool for risk assessment and early warning, supporting enterprises in safeguarding overseas interests and promoting high-quality overseas development.

Keywords: Overseas energy enterprises; Safety risk; Indicator system; Entropy weight method; R-type clustering (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:advbcp:978-94-6239-672-2_9

Ordering information: This item can be ordered from
http://www.springer.com/9789462396722

DOI: 10.2991/978-94-6239-672-2_9

Access Statistics for this chapter

More chapters in Advances in Economics, Business and Management Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().