IDEAS home Printed from https://ideas.repec.org/a/bla/revpol/v23y2006i2p589-606.html
   My bibliography  Save this article

The Policy of High‐Tech Industry Development: The Case of Location Assessment for Biotech Industry Parks in Taiwan

Author

Listed:
  • Ren‐Shuai Chen
  • Joseph Z. Shyu
  • Gow‐Hshiung Tzeng

Abstract

Biotechnology will be the star industry of the 21st century, and will also be one of the main focal areas of Taiwan's future industrial development. Many scholars have suggested that the presence of geographical clusters is an important factor that determines an industry's international competitiveness. As an example of the clustering effect, when high‐tech industry was just starting to take off in Taiwan, the establishment of the Hsinchu Science‐Based Industrial Park successfully promoted the upgrading of the industrial structure. The goal of this study is to explore the development of an industrial park location selection model for Taiwan's biotech industry, while considering the influence of the clustering effect, with the ultimate intent of promoting the industry's development. Because clustering factors are certainly not necessarily independent, and may entail a feedback effect, this study uses the analytic network process (ANP) multiple criteria decision‐making (MCDM) model to construct a “biotech park” location selection model, and then determine the optimal location of a biotech park from three alternatives. The results suggest that Taipei City would be the optimal choice for a biotech park. This finding can serve to guide the government's biotech industry development policies.

Suggested Citation

  • Ren‐Shuai Chen & Joseph Z. Shyu & Gow‐Hshiung Tzeng, 2006. "The Policy of High‐Tech Industry Development: The Case of Location Assessment for Biotech Industry Parks in Taiwan," Review of Policy Research, Policy Studies Organization, vol. 23(2), pages 589-606, March.
  • Handle: RePEc:bla:revpol:v:23:y:2006:i:2:p:589-606
    DOI: 10.1111/j.1541-1338.2006.00217.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1541-1338.2006.00217.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1541-1338.2006.00217.x?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
    ---><---

    Citations

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


    Cited by:

    1. Abbas Bonyani & Moslem Alimohammadlou, 2021. "A novel approach to solve the problems with network structure," Operational Research, Springer, vol. 21(2), pages 1279-1297, June.

    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:bla:revpol:v:23:y:2006:i:2:p:589-606. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/ipsonea.html .

    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.