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Knowledge Economy in Brazil: Analysis of Sectoral Concentration and Production by Region

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  • JoseÌ Antonio de França
  • Wilfredo Sosa Sandoval

Abstract

The research presented in this article investigates and analyzes the concentration of knowledge production in Brazil, in the context of a public policy, at postgraduate level, by using the spectral methods grounded on the LQ (location quotient) and CI (concentration index) indicators, in three dimensions, from 2013 to 2018. The dimensions are economics, geography, and time. Economics is represented by Fields and Major Fields of knowledge production. Geography corresponds to the regions identified by each Federation unit (FU). Time is a chronological unit of the timeline in which knowledge is produced. The research then evaluates knowledge concentration in the income performance of the families by FU. The results are robust and indicate significant evidence that sectorial knowledge production in Brazil is regionally unequal and impacts on family incomes, but those family incomes evolve regardless of the knowledge concentration level produced. The research contributions are relevant to assist public policy regulators and monitoring managers, as well as to encourage future discoveries in regional economics applications.

Suggested Citation

  • JoseÌ Antonio de França & Wilfredo Sosa Sandoval, 2021. "Knowledge Economy in Brazil: Analysis of Sectoral Concentration and Production by Region," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(11), pages 1-53, November.
  • Handle: RePEc:ibn:ijefaa:v:13:y:2021:i:11:p:53
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    References listed on IDEAS

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    1. Quatraro, Francesco, 2010. "Knowledge coherence, variety and economic growth: Manufacturing evidence from Italian regions," Research Policy, Elsevier, vol. 39(10), pages 1289-1302, December.
    2. Robert J. Stimson & Roger R. Stough & Brian H. Roberts, 2006. "Regional Economic Development," Springer Books, Springer, edition 0, number 978-3-540-34829-0, June.
    3. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    4. Edward Feser & Henry Renski & Harvey Goldstein, 2008. "Clusters and Economic Development Outcomes," Economic Development Quarterly, , vol. 22(4), pages 324-344, November.
    5. Douglass C. North, 1955. "Location Theory and Regional Economic Growth," Journal of Political Economy, University of Chicago Press, vol. 63(3), pages 243-243.
    6. Unknown, 1962. "Community Development and Economic Development," Indian Journal of Agricultural Economics, Indian Society of Agricultural Economics, vol. 17(3), pages 1-2.
    7. W. Mark Brown & Darren M. Scott, 2012. "Human Capital Location Choice: Accounting For Amenities And Thick Labor Markets," Journal of Regional Science, Wiley Blackwell, vol. 52(5), pages 787-808, December.
    8. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    9. Robert W. Gilmer & S.R. Keil & R.S. Mack, 1989. "The location quotient and central place theory," Working Papers 8916, Federal Reserve Bank of Dallas.
    10. Geoffrey J.D. Hewings, 1985. "Regional Input-Output Analysis," Wholbk, Regional Research Institute, West Virginia University, number 11 edited by Grant I. Thrall, Fall.
    11. Jon Zabala-Iturriagagoitia & Peter Voigt & Antonio Gutierrez-Gracia & Fernando Jimenez-Saez, 2007. "Regional Innovation Systems: How to Assess Performance," Regional Studies, Taylor & Francis Journals, vol. 41(5), pages 661-672.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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