IDEAS home Printed from https://ideas.repec.org/p/rri/wpaper/2019rp03.html
   My bibliography  Save this paper

The Impact of Cluster Diversity on Economic Performance in U.S. Metropolitan Statistical Areas

Author

Listed:
  • Jing Chen

    (Central China Normal University)

Abstract

Conventional wisdom indicates that economic specialization can promote growth, whereas economic stability is associated with diversified economies. This conflicting relationship between specialization and diversity has been questioned, as regional scientists have suggested that specialization and diversity can coexist in a regional economy and proposed the concept of diversified specializations. To test this proposition empirically, two Herfindahl–Hirschman Indices were used to examine the relationship between economic diversity and economic performance among 359 metropolitan statistical areas in the contiguous United States. The first index measures industry diversity across 87 three-digit North American Industry Classification Systems sectors, and the second index quantifies cluster diversity among 51 economic specializations. This analysis confirms that cluster diversity contributes to both stability and growth, and regions can simultaneously pursue both high and stable economic growth.

Suggested Citation

  • Jing Chen, 2019. "The Impact of Cluster Diversity on Economic Performance in U.S. Metropolitan Statistical Areas," Working Papers Research Paper 2019-03, Regional Research Institute, West Virginia University.
  • Handle: RePEc:rri:wpaper:2019rp03
    DOI: 10.1177/0891242419892338
    as

    Download full text from publisher

    File URL: https://researchrepository.wvu.edu/rri_pubs/208/
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0891242419892338?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. Dengsheng Wu & Xiaoli Lu & Jianping Li & Jing Li, 2020. "Does the institutional diversity of editorial boards increase journal quality? The case economics field," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1579-1597, August.
    2. Akberdina, V. V. & Sergeeva, A. S., 2020. "Strategic Priorities for the Development of Middle Regions in Russia," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 6(2), pages 89-99.

    More about this item

    Keywords

    Specialization; Diversity; Economic Structure; Regional Economic Development;
    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:rri:wpaper:2019rp03. 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: Randall Jackson (email available below). General contact details of provider: https://edirc.repec.org/data/rrwvuus.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.