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

DOI

10.2991/978-94-6239-672-2_9How to use a DOI?

Keywords

Overseas energy enterprises; Safety risk; Indicator system; Entropy weight method; R-type clustering

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.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Hanxiong Xiao
PY  - 2026
DA  - 2026/05/12
TI  - Research on the Indicator System of Overseas Interest Security Risks for Energy Enterprises
BT  - Proceedings of the 2026 3rd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2026)
PB  - Atlantis Press
SP  - 83
EP  - 92
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-672-2_9
DO  - 10.2991/978-94-6239-672-2_9
ID  - Xiao2026
ER  -