IDEAS home Printed from https://ideas.repec.org/a/fec/journl/v6y2011i2p211-228.html
   My bibliography  Save this article

Intellectual Property Rights Protection and Recorded Music Sales¡ªFocus on 26 OECD Countries Panel Data

Author

Listed:
  • Xingle Long

    (Department of International Trade, Chungnam National University, Daejeon 305-764, Republic of Korea)

Abstract

This thesis mainly studies the relationship between intellectual property rights protection and recorded music sales by use of 26 OECD countries panel data from 2000 to 2007. Following Png and Wang (2006), the production equation of recorded music is developed. Meanwhile, the author introduces other independent variables such as per capita GDP, employment rate and R&D, population and economic openness. The econometric methods consist of two way fixed effects method, Arellano-Bond dynamic panel-data estimation and dynamic panel-data estimation, one-step difference GMM (generalized method of moments) by use of Stata 10.0. The findings are as followings: Intellectual property rights (IPRs) protection exerts positive effect on recorded music sales, and the influencing coefficient is at the range of 0.815 to 0.915. Meanwhile, economic openness also has positive influence. The studying results suggest that IPRs protection can reinforce the sale of recorded music, and it is very urgent to enhance IPRs protection.

Suggested Citation

  • Xingle Long, 2011. "Intellectual Property Rights Protection and Recorded Music Sales¡ªFocus on 26 OECD Countries Panel Data," Frontiers of Economics in China-Selected Publications from Chinese Universities, Higher Education Press, vol. 6(2), pages 211-228, June.
  • Handle: RePEc:fec:journl:v:6:y:2011:i:2:p:211-228
    as

    Download full text from publisher

    File URL: http://journal.hep.com.cn/fec/EN/10.1007/s11459-011-0129-1
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    intellectual property rights protection; recorded music sales; two way fixed effects method; Arellano-Bond dynamic panel-data estimation; GMM;
    All these keywords.

    JEL classification:

    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    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:fec:journl:v:6:y:2011:i:2:p:211-228. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Frank H. Liu (email available below). General contact details of provider: .

    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.