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Growth of Creative Occupations in U.S. Metropolitan Areas: A Shift‐Share Analysis

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  • TODD M. GABE

Abstract

ABSTRACT This article uses a shift‐share model to investigate the growth of creative occupations in U.S. metropolitan areas during the 1990s. Empirical findings indicate that the performance of the creative economy varied widely across the U.S., and that the highest competitive growth rates of the creative workforce occurred in the Rocky Mountain, Southeast, and Southwest regions. Further analysis focused on whether high competitive workforce growth between 1990 and 2000 translated into high competitive employment growth from 1999 to 2003. The results show that many of the areas with the highest competitive growth rates of creative economy employment from 1999 to 2003 were some of the weakest regions in terms of creative workforce growth during the 1990s. This raises questions about the extent to which jobs follow people in the creative economy, and suggests that an initial strong presence in the creative economy is not a prerequisite for future growth.

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  • Todd M. Gabe, 2006. "Growth of Creative Occupations in U.S. Metropolitan Areas: A Shift‐Share Analysis," Growth and Change, Wiley Blackwell, vol. 37(3), pages 396-415, September.
    • Handle: RePEc:bla:growch:v:37:y:2006:i:3:p:396-415
    DOI: 10.1111/j.1468-2257.2006.00329.x
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    1. Esteban-Marquillas, J. M., 1972. "I. A reinterpretation of shift-share analysis," Regional and Urban Economics, Elsevier, vol. 2(3), pages 249-255, October.
    2. Hoppes, R. Bradley, 1997. "Shift-Share Analysis for Regional Health Care Policy," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 27(1), pages 1-12.
    3. Edward J. Feser, 2003. "What Regions Do Rather than Make: A Proposed Set of Knowledge-based Occupation Clusters," Urban Studies, Urban Studies Journal Limited, vol. 40(10), pages 1937-1958, September.
    4. Wilbur R. Thompson & Philip R. Thompson, 1987. "National Industries and Local Occupational Strengths: The Cross-Hairs of Targeting," Urban Studies, Urban Studies Journal Limited, vol. 24(6), pages 547-560, December.
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    3. repec:rre:publsh:v:40:y:2010:i:2:p:197-226 is not listed on IDEAS
    4. Campoy-Muñoz, Pilar & Cardenete, Manuel Alejandro & Delgado, M. Carmen, 2015. "Strategic sectors and employment during the crisis: The case of Andalusia || Sectores estratégicos y empleo durante la crisis: el caso de Andalucía," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 20(1), pages 25-52, December.
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    8. Lombardi, P. & Giordano, S. & Caragliu, A. & Del Bo, C., 2011. "An advanced triple-helix network model for smart cities performance," Serie Research Memoranda 0045, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
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    12. de santis, roberta & Fasano, Alessandra & Mignolli, Nadia & Villa, Anna, 2013. "Il quadro concettuale e le esperienze di misurazione delle Smart Cities [Smart cities: theoretical framework and measurement experiences]," MPRA Paper 50207, University Library of Munich, Germany.
    13. José Ruiz Chico & Antonio Rafael Peña Sánchez & Mercedes Jiménez García, 2014. "Estudio de las exportaciones agroalimentarias españolas," Economic Working Papers at Centro de Estudios Andaluces DT2014/02, Centro de Estudios Andaluces.
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