In this paper we assess the potential economic effects of climate change on Brazilian agriculture scenarios in different regions in a general equilibrium framework, using a detailed regional economic database for the year 2005. Two different climate change impact scenarios are simulated. This paper extends the Brazilian literature in three different ways: by considering detailed shocks by product and region; by highlighting the connections between the potential impacts of climate change on agriculture and the labor market, with an inter-regional focus; and by specifying the links between climate change forecasts for agriculture and household expenditures. Results show that climate change impacts on Brazilian agriculture would have a relatively small economic effect on the Brazilian economy in aggregate terms, but with severe consequences at the regional level, making a strong case for losses that would be concentrated in the poorest regions and for the poorest workers and households in those regions.
Resumo: O objetivo deste artigo é estabelecer como as características pessoais influenciam na oferta de trabalho dos trabalhadores das Regiões Metropolitanas de São Paulo, Curitiba e Porto Alegre. Foi realizada uma estimação em pooling para os anos de 2001 a 2005, utilizando o procedimento de Heckman, com base nos microdados da PNAD. É demonstrado, empiricamente, um resultado de acordo com a teoria, exceto para a variável idade. Foi confirmado que o número de filhos que residem junto com a mulher é uma variável importante para determinar a participação da mesma no mercado de trabalho, mas não para definir a quantidade de horas trabalhadas.
Palavras-chave:Oferta de trabalho. Emprego urbano. Procedimento de Heckman.Abstract: This paper examines and measures how personal characteristics reflect in supply labor in Sao Paulo, Porto Alegre and Curitiba metropolitan region. For this purpose we utilized data from PNAD (IBGE) in 2001-2005 period; we constructed pooling estimation applying Heckman´s procedure. Empirical results confirms theoretical predictions for labor market, except to age variable, and confirms importance of number of children for woman entry in labor market despite this variable is not significant for choose hours worked.
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