A Study on the Governance Determinants of Nuclear Export Competitiveness: Lessons from Rosatom, EDF, and Team USA for a Korean Model

This study examines the structural limitations of Korea's nuclear power plant export regime and proposes governance reforms. Although Korea entered the global market through the 2009 Barakah project in the United Arab Emirates, its export performance has remained limited in most major markets except the Czech Republic. A key structural constraint lies in the dualized governance between Korea Electric Power Corporation (KEPCO) and Korea Hydro & Nuclear Power (KHNP), which weakens strategic coordination and the integration of financial and diplomatic instruments. Comparative analysis of France, Russia, China, and the United States shows that these countries operate unified or strongly coordinated export platforms supported by state-backed financing, thereby enhancing negotiation power and project execution capacity. Based on these findings, this study proposes three reform measures: the establishment of a permanent “Team Korea” nuclear export committee, the creation of a unified nuclear export agency (KNEA), and the adoption of SPC/PPP-based small modular reactor (SMR) export models. The results highlight that a state-led integrated governance system, beyond technological capability and policy finance, is essential for strengthening Korea's global nuclear export competitiveness.

Authors

Publication Details

Journal
Journal of Korea Research Association of International Commerce
Published
2025-12-31
DOI
https://doi.org/10.29331/jkraic.2025.12.25.6.77
Primary Topic
Marine and Coastal Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Study on the Governance Determinants of Nuclear Export Competitiveness: Lessons from Rosatom, EDF, and Team USA for a Korean Model

JiHoon Lee, HeeJae Kim
Journal of Korea Research Association of International Commerce
Marine and Coastal Research
article

A Study on the Governance Determinants of Nuclear Export Competitiveness: Lessons from Rosatom, EDF, and Team USA for a Korean Model

JiHoon Lee, HeeJae Kim
article en

Abstract

This study examines the structural limitations of Korea's nuclear power plant export regime and proposes governance reforms. Although Korea entered the global market through the 2009 Barakah project in the United Arab Emirates, its export performance has remained limited in most major markets except the Czech Republic. A key structural constraint lies in the dualized governance between Korea Electric Power Corporation (KEPCO) and Korea Hydro & Nuclear Power (KHNP), which weakens strategic coordination and the integration of financial and diplomatic instruments. Comparative analysis of France, Russia, China, and the United States shows that these countries operate unified or strongly coordinated export platforms supported by state-backed financing, thereby enhancing negotiation power and project execution capacity. Based on these findings, this study proposes three reform measures: the establishment of a permanent “Team Korea” nuclear export committee, the creation of a unified nuclear export agency (KNEA), and the adoption of SPC/PPP-based small modular reactor (SMR) export models. The results highlight that a state-led integrated governance system, beyond technological capability and policy finance, is essential for strengthening Korea's global nuclear export competitiveness.

Journal of Korea Research Association of International CommerceVol. 25(6)
Partnerships for the goals
Openalex Percentile: Top 28%
Marine and Coastal Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.