Preferência revelada e arbitragem espacial: determinando um ranking de qualidade de vida para as regiões metropolitanas do Brasil

Abstract

O artigo propõe extensões da metodologia de Kahn (1995) para determinação de um ranking de qualidade de vida para um conjunto de localidades, aplicando-as ao conjunto de regiões metropolitanas do Brasil a partir de microdados da Pesquisa Nacional por Amostra de Domicílio (PNAD) do ano de 2004, depois de corrigir os salários regionais através do Índice de Custo de Vida proposto por Azzoni et alii (2000). As propostas eliminam grande parte das fragilidades envolvidas na construção de índices de qualidade de vida a partir de estimações de preços hedônicos e consideram os diferenciais regionais de preços dos bens e serviços comercializáveis entre as localidades. No sentido de apontar a consistência dos resultados obtidos com algumas hipóteses levantadas, o ranking obtido para 2004 é cotejado com aquele de 1993.<br>Based in the seminal work of Kahn (1995), the article proposes new methodologies to rank localities in terms of quality of life, applying them to the set of Brazilian metropolitan regions with data from Pesquisa Nacional por Amostra de Domicílio (PNAD) of the year of 2004, after controlling for regional disparities of cost of life by using Azzoni et alii (2000) Price Index. The new proposals eliminate most of fragilities in building life quality indices from estimation of hedonic prices and take in account regional difference in prices of good and services tradable among regions. To highlight the consistency of the results, additional evidence for the year of 1993 is supplied

Physical and Human Capital and Brazilian Regional Growth: A Spatial Econometric Approach for the Period 1970–2010

“…These circumstances are the result of its colonial economic history, when export-based activities were based on local natural resources, poor transportation networks among the country's regions and the concentration of industrialization in Brazil's South-east region during the 20th century (CANO, 1985;BAER, 2001). The lack of education investment and the high degree of closure of its economy during most of the 20th century, on the one hand, and agglomeration forces, on the other, have contributed to maintain the historical regional distribution of activities (SILVEIRA NETO and MENEZES, 2008;ÖZYURT and DAUMAL, 2013).…”

“…In the Brazilian case, the argument for improving the regional education level is based on both evidence obtained from micro-data regression analysis estimating the impact of schooling on regional labour income (SIL-VEIRA NETO and MENEZES, 2008;DUARTE et al, 2003) and growth regressions using aggregate variables to estimate the impact of schooling variables on the regional level of GDP per capita or growth (AZZONI et al, 2000;FERREIRA, 2000;SILVEIRA NETO and AZZONI, 2006). The former approach suffers from an inability to distinguish adequately supply and demand factors that simultaneously affect a region's level of labour income.…”