IDEAS home Printed from https://ideas.repec.org/a/taf/tcpoxx/v14y2014i2p283-301.html
   My bibliography  Save this article

Climate policy networks in South Korea: alliances and conflicts

Author

Listed:
  • Sun-Jin Yun
  • Dowan Ku
  • Jin-Yi Han

Abstract

A policy network analysis using a questionnaire survey was conducted to identify the main climate policy actors in South Korea and examine how they form alliances and come into conflict over four major issues. Generally, it was found that governmental organizations are the main actors in the South Korean climate policy arena and that they mediate between the business and civil sectors. In particular, key organizations in each sector play a leading role in the formation and maintenance of at least two distinct alliance networks: growth and environmental. In particular, the growth network has been stronger and more intense than the environmental network, with the exception of nuclear power policy. The crucial drivers of proactive policy discourse in South Korea have been scientific discourse and a consensus on the advent of anthropogenic climate change by the international scientific community, the international climate change negotiations and the pressure to commit to GHG emissions reduction, and low-carbon green growth strategy. Policy relevance The positions of South Korean governmental organizations (as well as other civil society organizations) on the four major issues of climate policy have not been aligned. The government has not acted as a unified body; instead it is an aggregated body composed of organizations with competing interests. If policy actors with different interests share the recognition of the state of the country within global society and understand international pressure as well as the urgency of combating climate change, then a common policy goal can be achieved. It is essential for the government to exert proactive leadership for climate policies in mediating the growth and environmental networks. It is important to boost environmental networks in order to overcome the alliance of growth networks. A more proactive response for combating climate change would establish open policy-making processes for environmental network actors and provide economic opportunities for climate actions.

Suggested Citation

  • Sun-Jin Yun & Dowan Ku & Jin-Yi Han, 2014. "Climate policy networks in South Korea: alliances and conflicts," Climate Policy, Taylor & Francis Journals, vol. 14(2), pages 283-301, March.
  • Handle: RePEc:taf:tcpoxx:v:14:y:2014:i:2:p:283-301
    DOI: 10.1080/14693062.2013.831240
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/14693062.2013.831240
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/14693062.2013.831240?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Fowler, James H., 2006. "Connecting the Congress: A Study of Cosponsorship Networks," Political Analysis, Cambridge University Press, vol. 14(4), pages 456-487, October.
    2. Sun-Jin Yun, 2012. "Nuclear power for climate mitigation? Contesting frames in Korean newspapers," Asia Europe Journal, Springer, vol. 10(1), pages 57-73, May.
    3. John S. Dryzek & Christian Hunold & David Schlosberg & David Downes & Hans‐Kristian Hernes, 2002. "Environmental Transformation of the State: the USA, Norway, Germany and the UK," Political Studies, Political Studies Association, vol. 50(4), pages 659-682, September.
    4. Stanley Wasserman & Philippa Pattison, 1996. "Logit models and logistic regressions for social networks: I. An introduction to Markov graphs andp," Psychometrika, Springer;The Psychometric Society, vol. 61(3), pages 401-425, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Yong, 2019. "Enacting a low-carbon economy: Policies and distrust between government employees and enterprises in China," Energy Policy, Elsevier, vol. 130(C), pages 130-138.
    2. Seungkook Roh & Hae-Gyung Geong, 2021. "Extending the Coverage of the Trust–Acceptability Model: The Negative Effect of Trust in Government on Nuclear Power Acceptance in South Korea under a Nuclear Phase-Out Policy," Energies, MDPI, vol. 14(11), pages 1-19, June.
    3. Weidong Chen & Wenjuan Zang & Wanlong Fan & Guanyi Yu, 2018. "Optimize emission reduction commitments for international environmental agreements," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 23(8), pages 1367-1389, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Desmarais, B.A. & Cranmer, S.J., 2012. "Statistical mechanics of networks: Estimation and uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1865-1876.
    2. Marco Battaglini & Eleonora Patacchini & Edoardo Rainone, 2019. "Endogenous Social Connections in Legislatures," NBER Working Papers 25988, National Bureau of Economic Research, Inc.
    3. Manuel E. Sosa & Steven D. Eppinger & Craig M. Rowles, 2004. "The Misalignment of Product Architecture and Organizational Structure in Complex Product Development," Management Science, INFORMS, vol. 50(12), pages 1674-1689, December.
    4. Cilem Selin Hazir & Corinne Autant-Bernard, 2012. "Using Affiliation Networks to Study the Determinants of Multilateral Research Cooperation Some empirical evidence from EU Framework Programs in biotechnology," Working Papers 1212, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    5. Daniel Fiorino, 2011. "Explaining national environmental performance: approaches, evidence, and implications," Policy Sciences, Springer;Society of Policy Sciences, vol. 44(4), pages 367-389, November.
    6. Samrachana Adhikari & Beau Dabbs, 2018. "Social Network Analysis in R: A Software Review," Journal of Educational and Behavioral Statistics, , vol. 43(2), pages 225-253, April.
    7. Geels, Frank W. & Kern, Florian & Fuchs, Gerhard & Hinderer, Nele & Kungl, Gregor & Mylan, Josephine & Neukirch, Mario & Wassermann, Sandra, 2016. "The enactment of socio-technical transition pathways: A reformulated typology and a comparative multi-level analysis of the German and UK low-carbon electricity transitions (1990–2014)," Research Policy, Elsevier, vol. 45(4), pages 896-913.
    8. Hildegunn Mellesmo Aslaksen & Clare Hildebrandt & Hans Chr. Garmann Johnsen, 2021. "The long-term transformation of the concept of CSR: towards a more comprehensive emphasis on sustainability," International Journal of Corporate Social Responsibility, Springer, vol. 6(1), pages 1-14, December.
    9. David Levinson & Arthur Huang, 2012. "A Positive Theory of Network Connectivity," Environment and Planning B, , vol. 39(2), pages 308-325, April.
    10. Lomi, Alessandro & Fonti, Fabio, 2012. "Networks in markets and the propensity of companies to collaborate: An empirical test of three mechanisms," Economics Letters, Elsevier, vol. 114(2), pages 216-220.
    11. Gaonkar, Shweta & Mele, Angelo, 2023. "A model of inter-organizational network formation," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 82-104.
    12. Liu, Jie & Ge, Huilin, 2022. "Collaboration mechanisms and community detection of statisticians based on ERGMs and kNN-walktrap," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
    13. Chih‐Sheng Hsieh & Lung‐Fei Lee & Vincent Boucher, 2020. "Specification and estimation of network formation and network interaction models with the exponential probability distribution," Quantitative Economics, Econometric Society, vol. 11(4), pages 1349-1390, November.
    14. Neal, Zachary & Domagalski, Rachel & Yan, Xiaoqin, 2020. "Party Control as a Context for Homophily in Collaborations among US House Representatives, 1981 -- 2015," OSF Preprints qwdxs, Center for Open Science.
    15. Krivitsky, Pavel N., 2017. "Using contrastive divergence to seed Monte Carlo MLE for exponential-family random graph models," Computational Statistics & Data Analysis, Elsevier, vol. 107(C), pages 149-161.
    16. Andrea Cintolesi, 2024. "‘Keep friends close, but enemies closer’: connections and political careers," Public Choice, Springer, vol. 200(1), pages 257-284, July.
    17. Patrick O. Perry & Patrick J. Wolfe, 2013. "Point process modelling for directed interaction networks," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 75(5), pages 821-849, November.
    18. Duxbury, Scott W, 2019. "Mediation and Moderation in Statistical Network Models," SocArXiv 9bs4u, Center for Open Science.
    19. Aroche-Reyes, Fidel & García Muñiz, Ana Salomé, 2012. "Modelling economic structures from a Qualitative Input-Output Perspective: Greece in 2005 and 2010," MPRA Paper 44415, University Library of Munich, Germany.
    20. Reed, Markum, 2015. "Social network influence on consistent choice," Journal of choice modelling, Elsevier, vol. 17(C), pages 28-38.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tcpoxx:v:14:y:2014:i:2:p:283-301. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tcpo20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.