Identifying policy frames through semantic network analysis : an examination of nuclear energy policy across six countries

Shim, J; Park, C; Wilding, M

Abstract

This study uses semantic network analysis to investigate nuclear energy policy frames in six countries: USA, UK, Germany, France, Japan, and South Korea. It is suggested that semantic network analysis represents a useful tool to investigate policy frames in complex policy environments. The discourse of top-level decision-makers is analyzed to highlight similarities and differences in policy frames and to identify the key policy arguments in the integrated network of all six countries. In total, 14 major policy arguments are identified, which relate to the three major frames of energy security, clean energy, and nuclear safety, along with the meta-issue of economic growth. There are differences in the degree of emphasis on each of the frames in the six countries, and Germany can be seen to have diverged the most following the Fukushima accident, as the emphasis is on clean energy, to the exclusion of the other frames. In contrast, both the USA and Japan have framed the issues primarily in terms of nuclear safety and energy security, while the UK and France have stressed the economic growth frame, and Korea has prioritized nuclear safety.

Citation

Shim, J., Park, C., & Wilding, M. (2015). Identifying policy frames through semantic network analysis : an examination of nuclear energy policy across six countries. Policy Sciences, 48(1), 51-83. https://doi.org/10.1007/s11077-015-9211-3

• Journal Article Type: Article
• Online Publication Date: Jan 30, 2015
• Publication Date: Mar 1, 2015
• Deposit Date: Jul 7, 2015
• Publicly Available Date: Aug 21, 2018
• Journal: Policy Sciences
• Print ISSN: 0032-2687
• Electronic ISSN: 1573-0891
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 48
• Issue: 1
• Pages: 51-83
• DOI: https://doi.org/10.1007/s11077-015-9211-3
• Publisher URL: http://dx.doi.org/10.1007/s11077-015-9211-3
• Related Public URLs: http://link.springer.com/journal/11077
• Additional Information: Funders : National Research Foundation of Korea; Grant Number: NRF-2013S1A3A2055108