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The Inventive, the Educated, and the Creative: How Do They Affect Metropolitan Productivity?

Author

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  • Lobo, José

    (Arizona State University)

  • Mellander, Charlotta

    (Jönköping International Business School)

  • Stolarick, Kevin

    (University of Toronto)

  • Strumsky, Deborah

    (University of North Carolina-Charlotte)

Abstract

A longstanding research tradition assumes that endogenous technological development increases regional productivity. It has been assumed that measures of regional patenting activity or human capital are an adequate way to capture the endogenous creation of new ideas that result in productivity improvements. This process has been conceived as occurring in two stages. First, an invention or innovation is generated, and then it is developed and commercialized to create benefits for the individual or firm owning the idea. Typically these steps are combined into a single model of the “invention in/productivity out” variety. Using data on Gross Metropolitan Product per worker and on inventors, educational attainment, and creative workers (together with other important socio-economic controls), we unpack the model back to the two-step process and use a SEM modeling framework to investigate the relationships among inventive activity and potential inventors, regional technology levels, and regional productivity outcomes. Our results show almost no significant direct relationship between invention and productivity, except through technology. Clearly, the simplification of the “invention in/productivity out” model does not hold, which supports other work that questions the use of patents and patenting related measures as meaningful innovation inputs to processes that generate regional productivity and productivity gains. We also find that the most effective measure of regional inventive capacity, in terms of its effect on technology, productivity, and productivity growth is the share of the workforce engaged in creative activities.

Suggested Citation

  • Lobo, José & Mellander, Charlotta & Stolarick, Kevin & Strumsky, Deborah, 2012. "The Inventive, the Educated, and the Creative: How Do They Affect Metropolitan Productivity?," Working Paper Series in Economics and Institutions of Innovation 263, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  • Handle: RePEc:hhs:cesisp:0263
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    Cited by:

    1. Eckhardt Bode & Lucia Perez Villar, 2017. "Creativity, education or what? On the measurement of regional human capital," Papers in Regional Science, Wiley Blackwell, vol. 96, pages 51-67, March.
    2. Shade T Shutters & José Lobo & Rachata Muneepeerakul & Deborah Strumsky & Charlotta Mellander & Matthias Brachert & Teresa Farinha & Luis M A Bettencourt, 2018. "Urban occupational structures as information networks: The effect on network density of increasing number of occupations," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-14, May.
    3. Shade T Shutters & Rachata Muneepeerakul & José Lobo, 2016. "Constrained pathways to a creative urban economy," Urban Studies, Urban Studies Journal Limited, vol. 53(16), pages 3439-3454, December.
    4. Mirko Guaralda & Greg Hearn & Marcus Foth & Tan Yigitcanlar & Severine Mayere & Lisa Law, 2020. "Towards Australian Regional Turnaround: Insights into Sustainably Accommodating Post-Pandemic Urban Growth in Regional Towns and Cities," Sustainability, MDPI, vol. 12(24), pages 1-13, December.
    5. Batabyal, Amitrajeet & Beladi, Hamid, 2021. "On the Existence of an Equilibrium in Models of Local Public Good Use by Cities to Attract the Creative Class," MPRA Paper 105196, University Library of Munich, Germany, revised 07 Jan 2021.
    6. Marine Agogué & Pascal Le Masson, 2015. "Rethinking ideation: a cognitive approach of innovation lock-ins," Post-Print hal-01132377, HAL.

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    More about this item

    Keywords

    Innovation; Productivity; Regional Technology; Patents; Human Capital; Creative Class;
    All these keywords.

    JEL classification:

    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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