Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

A Study on Cross-border M&A of China State-owned Energy Enterprises Based on SWOT Analysis

Authors
Yini Feng, Qingjun Meng
Corresponding Author
Yini Feng
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.63How to use a DOI?
Keywords
SWOT Analysis, State-owned Energy Enterprises, Cross-border mergers and acquisitions, China
Abstract
Cross-border mergers and acquisitions are the necessary prerequisites to expansions overseas of China state-owned energy enterprises. By using modern enterprise strategic tool "SWOT analysis", this paper has an in-depth analysis of the cross-border M&A of China state-owned energy enterprises, which contains internal conditions(strengths and weaknesses)and external environment (opportunities and threats) factors, and builds a SWOT analysis matrix model for cross-border M&A of China state-owned energy enterprises. It shows that China state-owned energy enterprises should increase both the capital inflows and the technology exports, cultivate international talents and introduce innovative skills, and improve the cross-border M&A management system and establish cross-border information service network.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.63How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Yini Feng
AU  - Qingjun Meng
PY  - 2017/01
DA  - 2017/01
TI  - A Study on Cross-border M&A of China State-owned Energy Enterprises Based on SWOT Analysis
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 471
EP  - 476
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.63
DO  - https://doi.org/10.2991/icefs-17.2017.63
ID  - Feng2017/01
ER  -