IDEAS home Printed from https://ideas.repec.org/a/eee/forpol/v68y2016icp7-15.html
   My bibliography  Save this article

Framing forest conservation in the global media: An interest-based approach

Author

Listed:
  • Park, Mi Sun
  • Kleinschmit, Daniela

Abstract

The aim of this paper is to understand if analytical theory as used in forest policy analysis can contribute to explaining how global media reports about a contested issue like forest conservation are framed. It therefore takes an actor and interest-based approach on framing. The empirical study is based on 129 media articles on forest conservation published in international print media, TIME and International Herald Tribune between 1990 and 2004. The results indicate that journalists are in a prime position: on the one hand, dominantly framing problems and, on the other hand, acting like a gatekeeper deciding on the visibility and standing of other actors. In their framing, journalists have assigned the role of causers mainly to the political-administrative system (PAS) and enterprises and the role of the helper as well to the PAS but furthermore to NGOs and individuals. Attention paid to media stars addressing forest conservation issues appears as a strategy to increase the news value of the articles. Except for journalists, actors with standing use the chance to present themselves in the role of helper only to a limited extend and they make even more seldom use of the speaker position to point towards a specific causer.

Suggested Citation

  • Park, Mi Sun & Kleinschmit, Daniela, 2016. "Framing forest conservation in the global media: An interest-based approach," Forest Policy and Economics, Elsevier, vol. 68(C), pages 7-15.
    • Handle: RePEc:eee:forpol:v:68:y:2016:i:c:p:7-15
    DOI: 10.1016/j.forpol.2016.03.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1389934116300417
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.forpol.2016.03.010?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. Humphreys, David, 2001. "Forest negotiations at the United Nations: explaining cooperation and discord," Forest Policy and Economics, Elsevier, vol. 3(3-4), pages 125-135, November.
    2. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, September.
    3. Rocío Cóndor & Antonino Scarelli & Riccardo Valentini, 2011. "Multicriteria Decision Aid to support Multilateral Environmental Agreements in assessing international forestry projects," International Environmental Agreements: Politics, Law and Economics, Springer, vol. 11(2), pages 117-137, May.
    4. Sadath, Nazmus & Kleinschmit, Daniela & Giessen, Lukas, 2013. "Framing the tiger — A biodiversity concern in national and international media reporting," Forest Policy and Economics, Elsevier, vol. 36(C), pages 37-41.
    5. Kleinschmit, Daniela, 2012. "Confronting the demands of a deliberative public sphere with media constraints," Forest Policy and Economics, Elsevier, vol. 16(C), pages 71-80.
    6. Sendhil Mullainathan & Andrei Shleifer, 2005. "The Market for News," American Economic Review, American Economic Association, vol. 95(4), pages 1031-1053, 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. Nhem, Sareth & Lee, Young Jin & Phin, Sopheap, 2017. "Sustainable management of forest in view of media attention to REDD+ policy, opportunity and impact in Cambodia," Forest Policy and Economics, Elsevier, vol. 85(P1), pages 10-21.
    2. Park, Mi Sun & Shin, Seongmin & Lee, Haeun, 2021. "Media frames on urban greening in the Democratic People's Republic of Korea," Forest Policy and Economics, Elsevier, vol. 124(C).
    3. Takala, Tuomo & Lehtinen, Ari & Tanskanen, Minna & Hujala, Teppo & Tikkanen, Jukka, 2020. "Discoursal power and multi-objective forestry in the Finnish print media," Forest Policy and Economics, Elsevier, vol. 111(C).
    4. Mangani, Andrea, 2021. "When does print media address deforestation? A quantitative analysis of major newspapers from US, UK, and Australia," Forest Policy and Economics, Elsevier, vol. 130(C).
    5. Takala, Tuomo & Lehtinen, Ari & Tanskanen, Minna & Hujala, Teppo & Tikkanen, Jukka, 2019. "The rise of multi-objective forestry paradigm in the Finnish print media," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    6. Eva Wikström & Anna Sténs, 2019. "Problematising refugee migrants in the Swedish forestry sector," Transfer: European Review of Labour and Research, , vol. 25(1), pages 63-80, February.
    7. Elomina, Jerbelle & Pülzl, Helga, 2021. "How are forests framed? An analysis of EU forest policy," Forest Policy and Economics, Elsevier, vol. 127(C).
    8. Mack, Philipp & Kremer, Jakob & Kleinschmit, Daniela, 2023. "Forest dieback reframed and revisited? Forests (re)negotiated in the German media between forestry and nature conservation," Forest Policy and Economics, Elsevier, vol. 147(C).
    9. Ranacher, Lea & Ludvig, Alice & Schwarzbauer, Peter, 2019. "Depicting the peril and not the potential of forests for a biobased economy? A qualitative content analysis on online news media coverage in German language articles," Forest Policy and Economics, Elsevier, vol. 106(C), pages 1-1.
    10. Karnatz, Caroline & Kadam, Parag & Pfeuffer, Alexander & Dwivedi, Puneet, 2021. "The portrayal of forest certification in national and state newspapers of the United States," Forest Policy and Economics, Elsevier, vol. 130(C).

    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. Alan S. Blinder & Michael Ehrmann & Jakob de Haan & David-Jan Jansen, 2024. "Central Bank Communication with the General Public: Promise or False Hope?," Journal of Economic Literature, American Economic Association, vol. 62(2), pages 425-457, June.
    2. Robbett, Andrea & Matthews, Peter Hans, 2018. "Partisan bias and expressive voting," Journal of Public Economics, Elsevier, vol. 157(C), pages 107-120.
    3. Bennani, Hamza, 2018. "Media coverage and ECB policy-making: Evidence from an augmented Taylor rule," Journal of Macroeconomics, Elsevier, vol. 57(C), pages 26-38.
    4. Author-Name: Alan S. Blinder & Alan B. Krueger, 2004. "What Does the Public Know about Economic Policy, and How Does It Know It?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 35(1), pages 327-397.
    5. Redlicki, B., 2017. "Spreading Lies," Cambridge Working Papers in Economics 1747, Faculty of Economics, University of Cambridge.
    6. Giovanni Facchini & Anna Maria Mayda & Riccardo Puglisi, 2017. "Illegal immigration and media exposure: evidence on individual attitudes," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-36, December.
    7. Bartosz Wilczek, 2020. "Misinformation and herd behavior in media markets: A cross-national investigation of how tabloids’ attention to misinformation drives broadsheets’ attention to misinformation in political and business," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    8. Julia Rothbauer & Gernot Sieg, 2013. "Public Service Broadcasting of Sport, Shows, and News to Mitigate Rational Ignorance," Journal of Media Economics, Taylor & Francis Journals, vol. 26(1), pages 21-40, March.
    9. Shane Greenstein & Yuan Gu & Feng Zhu, 2016. "Ideological Segregation among Online Collaborators: Evidence from Wikipedians," Harvard Business School Working Papers 17-028, Harvard Business School, revised Mar 2017.
    10. Goldman, Eitan & Martel, Jordan & Schneemeier, Jan, 2022. "A theory of financial media," Journal of Financial Economics, Elsevier, vol. 145(1), pages 239-258.
    11. Vincent Bignon & Marc Flandreau, 2012. "The Price of Media Capture and the Looting of Newspapers in Interwar France," IHEID Working Papers 09-2012, Economics Section, The Graduate Institute of International Studies.
    12. Federico Vaccari, 2023. "Influential news and policy-making," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 76(4), pages 1363-1418, November.
    13. Poy, Samuele & Schüller, Simone, 2016. "Internet and Voting in the Web 2.0 Era: Evidence from a Local Broadband Policy," IZA Discussion Papers 9991, Institute of Labor Economics (IZA).
    14. Germano, Fabrizio & Sobbrio, Francesco, 2020. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Journal of Public Economics, Elsevier, vol. 187(C).
    15. Felix Chopra & Ingar K. Haaland & Christopher Roth, 2019. "Do People Value More Informative News?," CESifo Working Paper Series 8026, CESifo.
    16. Luis Garicano & Richard A. Posner, 2005. "Intelligence Failures: An Organizational Economics Perspective," Journal of Economic Perspectives, American Economic Association, vol. 19(4), pages 151-170, Fall.
    17. Anil K. Kashyap & Natalia Kovrijnykh, 2016. "Who Should Pay for Credit Ratings and How?," The Review of Financial Studies, Society for Financial Studies, vol. 29(2), pages 420-456.
    18. Fowdur, Lona & Kadiyali, Vrinda & Prince, Jeffrey, 2012. "Racial bias in expert quality assessment: A study of newspaper movie reviews," Journal of Economic Behavior & Organization, Elsevier, vol. 84(1), pages 292-307.
    19. Germano, Fabrizio & Meier, Martin, 2013. "Concentration and self-censorship in commercial media," Journal of Public Economics, Elsevier, vol. 97(C), pages 117-130.
    20. Obaid, Khaled & Pukthuanthong, Kuntara, 2022. "A picture is worth a thousand words: Measuring investor sentiment by combining machine learning and photos from news," Journal of Financial Economics, Elsevier, vol. 144(1), pages 273-297.

    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:eee:forpol:v:68:y:2016:i:c:p:7-15. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/forpol .

    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.