IDEAS home Printed from https://ideas.repec.org/p/zbw/itsb14/106883.html
   My bibliography  Save this paper

Evaluating the product portfolio of Japanese public service broadcaster: Consumer vs. citizen's view

Author

Listed:
  • Tsuji, Masatsugu
  • Ichikawa, Yoshiharu

Abstract

Media has been becoming increasingly diversified and public service broadcasters (PSBs) all over the world face new challenges by the Internet, and they have been restructuring their consistencies for the new environments. PSBs have been developing various management approaches by the diversification of transmission channels and the development of cross-media contents. The optimum deployment of distribution channels and content genres is currently becoming the top management priority, which is referred to as Portfolio Management. This approach for determining the portfolio of products and businesses will result in the most efficient strategic allocation of management resources. This paper thus takes NHK (Nippon Hoso Kyokai), Japan's PSB, as a research target, and analyzes its portfolio management. NHK has introduced the VFM (Value for Money) index through the measurement of WTP(Willingness to pay), and has initiated channel×genre matrix management. This study thus aims to estimate WTP to the channel×genre matrixin order to analyze how viewers evaluate NHK and its programs. To evaluate whether NHK's channel×genre matrix management is oriented to the way as pay-TV or to public service value, PSM (Propensity Score Matching) is employed. Using PSM, the sample population is divided into two groups, the consumer's view and the citizen's view, and how the distributed WTP to genre is different between two groups is examined.

Suggested Citation

  • Tsuji, Masatsugu & Ichikawa, Yoshiharu, 2014. "Evaluating the product portfolio of Japanese public service broadcaster: Consumer vs. citizen's view," 20th ITS Biennial Conference, Rio de Janeiro 2014: The Net and the Internet - Emerging Markets and Policies 106883, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itsb14:106883
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/106883/1/816918163.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Liam Delaney & Francis O’Toole, 2004. "Irish Public Service Broadcasting - A Contingent Valuation Analysis," The Economic and Social Review, Economic and Social Studies, vol. 35(3), pages 321-350.
    2. Yih-Ming Lin & Tsu-Tan Fu & Powen Yeh & Mei-Ying Huang, 2013. "Assessing the Economic Value of Public Service Broadcasting in Taiwan Using the Contingent Valuation Approach," Journal of Media Economics, Taylor & Francis Journals, vol. 26(4), pages 186-202, December.
    3. Barry Litman & Seema Shrikhande & Hoekyun Ahn, 2000. "A Portfolio Theory Approach to Network Program Selection," Journal of Media Economics, Taylor & Francis Journals, vol. 13(2), pages 59-79.
    4. Adam Finn & Stuart McFadyen & Colin Hoskins, 2003. "Valuing the Canadian Broadcasting Corporation," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 27(3), pages 177-192, November.
    5. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    6. Martin A. Koschat, 2012. "The Impact of Movie Reviews on Box Office: Media Portfolios and the Intermediation of Genre," Journal of Media Economics, Taylor & Francis Journals, vol. 25(1), pages 35-53, February.
    7. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    8. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    Full references (including those not matched with items on IDEAS)

    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. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    2. Torsten Persson & Guido Tabellini & Francesco Trebbi, 2003. "Electoral Rules and Corruption," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 958-989, June.
    3. Barbara Sianesi, 2002. "Swedish active labour market programmes in the 1990s: overall effectiveness and differential performance," IFS Working Papers W02/03, Institute for Fiscal Studies.
    4. Islam, Asadul & Nguyen, Chau & Smyth, Russell, 2015. "Does microfinance change informal lending in village economies? Evidence from Bangladesh," Journal of Banking & Finance, Elsevier, vol. 50(C), pages 141-156.
    5. K. Sudhir & Debabrata Talukdar, 2015. "The "Peter Pan Syndrome" in Emerging Markets: The Productivity-Transparency Tradeoff in IT Adoption," Cowles Foundation Discussion Papers 1980, Cowles Foundation for Research in Economics, Yale University.
    6. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    7. Juan Díaz & Miguel Jaramillo, 2006. "An Evaluation of the Peruvian "Youth Labor Training Program"-PROJOVEN," OVE Working Papers 1006, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    8. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2006. "Moving the Goalposts: Addressing Limited Overlap in the Estimation of Average Treatment Effects by Changing the Estimand," NBER Technical Working Papers 0330, National Bureau of Economic Research, Inc.
    9. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    10. Spermann, Alexander & Strotmann, Harald, 2005. "The Targeted Negative Income Tax (TNIT) in Germany: Evidence from a Quasi Experiment," ZEW Discussion Papers 05-68, ZEW - Leibniz Centre for European Economic Research.
    11. Jalan, Jyotsna & Ravallion, Martin, 1999. "Income gains to the poor from workfare - estimates for Argentina's TRABAJAR Program," Policy Research Working Paper Series 2149, The World Bank.
    12. Denis Conniffe & Vanessa Gash & Philip J. O'Connell, 2000. "Evaluating State Programmes - “Natural Experiments” and Propensity Scores," The Economic and Social Review, Economic and Social Studies, vol. 31(4), pages 283-308.
    13. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    14. Paul Attewell & David Monaghan, 2016. "How Many Credits Should an Undergraduate Take?," Research in Higher Education, Springer;Association for Institutional Research, vol. 57(6), pages 682-713, September.
    15. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    16. Markus Frölich, 2004. "Programme Evaluation with Multiple Treatments," Journal of Economic Surveys, Wiley Blackwell, vol. 18(2), pages 181-224, April.
    17. Flores, Carlos A. & Mitnik, Oscar A., 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," IZA Discussion Papers 4451, Institute of Labor Economics (IZA).
    18. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    19. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2000. "The Long-Term Gains from GAIN: A Re-Analysis of the Impacts of the California GAIN Program," NBER Working Papers 8007, National Bureau of Economic Research, Inc.
    20. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.

    More about this item

    Keywords

    WTP; product portfolio; channel-genre matrix; PSM; NHK;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:itsb14:106883. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    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.