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Industrial Scope of Agglomeration Economies in Brazil

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  • Ana Maria Bonomi Barufi

    ()

  • Eduardo A. Haddad, Peter Nijkamp

    ()

Abstract

The tendency towards urbanization in the emerging world accompanied by the constant pursuit for higher productivity prompts an urge for studies aiming at understanding agglomeration economies. In the context of Brazil, a country with extremely high regional disparities, exploring this issue is important not only for private stakeholders, but also for public policy practitioners. In the framework of static agglomeration effects, we investigate the industrial scope of agglomeration economies in Brazil. On the basis of identified registration data covering the whole formal labor market in three distinct years (2004, 2008 and 2012), we estimate separate models for the logarithm of the hourly individual wage for five broad economic sectors (S1 – Manufacturing low-tech, S2 – Manufacturing medium-tech, S3 – Manufacturing high-tech, S4 – Services less-knowledge, and S5 – Services high-knowledge). Different estimation strategies are considered in a two-stage mode: with and without individual fixed effects in the first stage, and with and without instrumental variables for population density in the second stage. The main results indicate that there is not a unique optimal local industrial mix to foster productivity in different technological sectors. Comparing possible theoretical approaches (MAR, Jacobs, Porter) related to combinations of diversity, specialization and competition, we find that for S5 only diversity is significant (and positive), suggesting that a Jacobs’ perspective is rather adequate. For S1, S2 and S4, the MAR framework seems more adequate to explain the underlying patterns. In the case of S3, there are elements from both Marshall’s and Jacobs’ perspectives. These results seem to be robust to different specifications and estimation strategies. Finally, the urbanization economies coefficient appears to be positive and significant for all sectors, ranging from 0.0511 to 0.0940 in different specifications, under the simplest estimation (OLS in the first and the second stages). Ordering these effects between the sectors from the highest to the lowest, we find the following sequence: S3, S1, S5, S4 and S2. This can be considered as evidence that high-tech and low-tech manufacturing sectors benefit more from the urban or metropolitan scale in Brazil, followed by services associated with higher knowledge intensity.

Suggested Citation

  • Ana Maria Bonomi Barufi & Eduardo A. Haddad, Peter Nijkamp, 2015. "Industrial Scope of Agglomeration Economies in Brazil," Working Papers, Department of Economics 2015_13, University of São Paulo (FEA-USP).
  • Handle: RePEc:spa:wpaper:2015wpecon13
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    References listed on IDEAS

    as
    1. Starrett, David, 1978. "Market allocations of location choice in a model with free mobility," Journal of Economic Theory, Elsevier, vol. 17(1), pages 21-37, February.
    2. Pierre-Philippe Combes & Gilles Duranton & Laurent Gobillon, 2011. "The identification of agglomeration economies," Journal of Economic Geography, Oxford University Press, vol. 11(2), pages 253-266, March.
    3. David Card, 1995. "The Wage Curve: A Review," Working Papers 722, Princeton University, Department of Economics, Industrial Relations Section..
    4. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 983-1028, December.
    5. Ricardo Freguglia & Naercio Menezes-Filho, 2012. "Inter-regional wage differentials with individual heterogeneity: evidence from Brazil," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 49(1), pages 17-34, August.
    6. David Card, 1995. "The Wage Curve: A Review," Journal of Economic Literature, American Economic Association, vol. 33(2), pages 285-299, June.
    7. repec:mir:mireco:v:1:y:2014:i:2:p:30-44 is not listed on IDEAS
    8. J. Vernon Henderson, 2010. "Cities And Development," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 515-540, February.
    9. Ciccone, Antonio & Hall, Robert E, 1996. "Productivity and the Density of Economic Activity," American Economic Review, American Economic Association, vol. 86(1), pages 54-70, March.
    10. Pedro Amaral & Mauro Lemos & Rodrigo Simões & Flávia Chein, 2010. "Regional Imbalances and Market Potential in Brazil," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 463-482.
    11. Fally, Thibault & Paillacar, Rodrigo & Terra, Cristina, 2010. "Economic geography and wages in Brazil: Evidence from micro-data," Journal of Development Economics, Elsevier, vol. 91(1), pages 155-168, January.
    12. Daniel Heuermann & Benedikt Halfdanarson & Jens Suedekum, 2010. "Human Capital Externalities and the Urban Wage Premium: Two Literatures and their Interrelations," Urban Studies, Urban Studies Journal Limited, vol. 47(4), pages 749-767, April.
    13. Naritomi, Joana & Soares, Rodrigo R. & Assunã‡Ãƒo, Juliano J., 2012. "Institutional Development and Colonial Heritage within Brazil," The Journal of Economic History, Cambridge University Press, vol. 72(2), pages 393-422, May.
    14. Gustavo Fontes & Rodrigo Simoes & A.M. Hermeto Camilo De Oliveira, 2010. "Urban Attributes and Wage Disparities in Brazil: A Multilevel Hierarchical Model," Regional Studies, Taylor & Francis Journals, vol. 44(5), pages 595-607.
    15. Glaeser, Edward L & Mare, David C, 2001. "Cities and Skills," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 316-342, April.
    16. Giordano Mion & Paolo Naticchioni, 2009. "The spatial sorting and matching of skills and firms," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 28-55, February.
    17. Daniel J. Graham & Patricia S. Melo & Piyapong Jiwattanakulpaisarn & Robert B. Noland, 2010. "Testing For Causality Between Productivity And Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(5), pages 935-951, December.
    18. Lindley, Joanne & Machin, Stephen, 2014. "Spatial changes in labour market inequality," Journal of Urban Economics, Elsevier, vol. 79(C), pages 121-138.
    19. Henderson, J. Vernon, 1986. "Efficiency of resource usage and city size," Journal of Urban Economics, Elsevier, vol. 19(1), pages 47-70, January.
    20. Argentino Pessoa, 2014. "Agglomeration and regional growth policy: externalities versus comparative advantages," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(1), pages 1-27, August.
    21. Diego Puga, 2010. "The Magnitude And Causes Of Agglomeration Economies," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 203-219, February.
    22. Edward L. Glaeser, 1998. "Are Cities Dying?," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 139-160, Spring.
    23. repec:fth:prinin:343 is not listed on IDEAS
    24. Rodrigo Ferreira Simões & Elton Eduardo Freitas, 2014. "Urban Attributes and Regional Differences in Productivity: Evidence from the External Economics of Brazilian Micro-regions from 2000 - 2010," Journal of Economic and Financial Studies (JEFS), LAR Center Press, vol. 2(1), pages 27-39, February.
    25. Stefan P.T. Groot & Henri L.F. Groot & Martijn J. Smit, 2014. "Regional Wage Differences In The Netherlands: Micro Evidence On Agglomeration Externalities," Journal of Regional Science, Wiley Blackwell, vol. 54(3), pages 503-523, June.
    26. Bell, Brian & Nickell, Stephen & Quintini, Glenda, 2002. "Wage equations, wage curves and all that," Labour Economics, Elsevier, vol. 9(3), pages 341-360, July.
    27. Moulton, Brent R, 1990. "An Illustration of a Pitfall in Estimating the Effects of Aggregate Variables on Micro Unit," The Review of Economics and Statistics, MIT Press, vol. 72(2), pages 334-338, May.
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    Cited by:

    1. Ahlfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2019. "The economic effects of density: A synthesis," Journal of Urban Economics, Elsevier, vol. 111(C), pages 93-107.
    2. Gabriel M. Ahfeldt & Elisabetta Pietrostefani, 2017. "The Compact City in Empirical Research: A Quantitative Literature Review," SERC Discussion Papers 0215, Spatial Economics Research Centre, LSE.
    3. Grace Carolina Guevara-Rosero & Stéphane Riou & Corinne Autant-Bernard, 2019. "Agglomeration externalities in Ecuador: do urbanization and tertiarization matter?," Regional Studies, Taylor & Francis Journals, vol. 53(5), pages 706-719, May.
    4. repec:gam:jeners:v:11:y:2018:i:12:p:3265-:d:185096 is not listed on IDEAS
    5. Ahfeldt, Gabriel M. & Pietrostefani, Elisabetta, 2017. "The compact city in empirical research: A quantitative literature review," LSE Research Online Documents on Economics 83638, London School of Economics and Political Science, LSE Library.
    6. repec:spr:anresc:v:61:y:2018:i:2:d:10.1007_s00168-018-0866-5 is not listed on IDEAS
    7. José M. Gaspar, 2018. "A prospective review on New Economic Geography," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 61(2), pages 237-272, September.

    More about this item

    Keywords

    Agglomeration economies; urban scale; productivity;

    JEL classification:

    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • R32 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Other Spatial Production and Pricing Analysis
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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