Wages and Industrial Clusters in Rio Grande Do Sul (Brazil)
The paper estimates the effects of agglomeration economies on wages of industrial workers in the state of Rio Grande do Sul, Brazil. The techniques of Exploratory Analysis of Spatial Data are used to locate the clusters of the statesâ€™ industry in 2000. Then, this information was combined to census microdata in order to run wage regressions inspired by the empirical tests of New Economic Geography models (HANSON, 1998, specially). The results were statistically and economically significant: even when controlled by demographic variables, the individual wages of industrial workers were higher on the cities with larger population, more urbanized, higher market potential and closer to the economic centre of the Rio Grande do Sul. These findings indicate how intense the economic forces that shape the spatial structure of the state are, and suggest changes in current regional policies.
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- Bernard Fingleton, 2006.
"The new economic geography versus urban economics: an evaluation using local wage rates in Great Britain,"
Oxford Economic Papers,
Oxford University Press, vol. 58(3), pages 501-530, July.
- Bernard Fingleton, 2004. "The new economic geography versus urban economics : an evaluation using local wage rates in Great Britain," ERSA conference papers ersa04p638, European Regional Science Association.
- Duranton, Gilles & Overman, Henry G, 2002.
"Testing for Localization Using Micro-Geographic Data,"
CEPR Discussion Papers
3379, C.E.P.R. Discussion Papers.
- Gilles Duranton & Henry G. Overman, 2005. "Testing for Localization Using Micro-Geographic Data," Review of Economic Studies, Oxford University Press, vol. 72(4), pages 1077-1106.
- Gilles Duranton & Henry G. Overman, 2005. "Testing for localization using micro-geographic data," LSE Research Online Documents on Economics 581, London School of Economics and Political Science, LSE Library.
- Gilles Duranton & Henry G. Overman, 2002. "Testing for localisation using micro-geographic data," LSE Research Online Documents on Economics 20071, London School of Economics and Political Science, LSE Library.
- Gilles Duranton & Henry Overman, 2002. "Testing for Localisation Using Micro-Geographic Data," CEP Discussion Papers dp0540, Centre for Economic Performance, LSE.
- Duranton, Gilles & Henry G Overman, 2003. "Testing for Localisation Using Micro-Geographic Data," Royal Economic Society Annual Conference 2003 69, Royal Economic Society.
- Paul Krugman, 1990.
"Increasing Returns and Economic Geography,"
NBER Working Papers
3275, National Bureau of Economic Research, Inc.
- Juan Carlos Duque & RaÃºl Ramos & Jordi SuriÃ±ach, 2007.
"Supervised Regionalization Methods: A Survey,"
International Regional Science Review,
, vol. 30(3), pages 195-220, July.
- Bastiaanssen, W. G. M. & van Dam, J. C. & Droogers, P., 2003. "Introduction," IWMI Books, Reports H043801, International Water Management Institute.
- Gordon H. Hanson, 2000. "Scale Economies and the Geographic Concentration of Industry," NBER Working Papers 8013, National Bureau of Economic Research, Inc.
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