Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 2
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
The distributional effects of NAFTA in Mexico: evidence from a panel of municipalities AgEcon
Baylis, Katherine R.; Garduno-Rivera, Rafael; Piras, Gianfranco.
This paper studies the regional distribution of the benefits from trade in Mexico after NAFTA. Specifically, we ask whether or not NAFTA has increased the concentration of economic activity in Mexico. Unlike previous work which uses state-level data, we identify the effect of NAFTA on economic activity at the municipal level allowing us to observe detailed growth patterns across space. Further, to explicitly identify the effect of the trade agreement, we compare results for growth in traded and non-traded sectors. Given the spatial nature of these data, we make explicit use of spatial econometrics methods. We find that NAFTA caused the wealthy regions nearest to the border to grow faster than others, increasing regional disparity. Second, we find that...
Tipo: Conference Paper or Presentation Palavras-chave: Regional Disparities; Trade Liberalization; Agglomeration Economies; Economic Growth; Mexico; Transport Cost; Spatial econometrics; Community/Rural/Urban Development; International Development; International Relations/Trade.
Ano: 2009 URL: http://purl.umn.edu/49463
Imagem não selecionada

Imprime registro no formato completo
Spatial Approaches to Panel Data in Agricultural Economics: A Climate Change Application AgEcon
Baylis, Katherine R.; Paulson, Nicholas D.; Piras, Gianfranco.
Panel data are used in almost all subfields of the agricultural economics profession. Furthermore, many research areas have an important spatial dimension. This article discusses some of the recent contributions made in the evolving theoretical and empirical literature on spatial econometric methods for panel data. We then illustrate some of these tools within a climate change application using a hedonic model of farmland values and panel data. Estimates for the model are provided across a range of nonspatial and spatial estimators, including spatial error and spatial lag models with fixed and random effects extensions. Given the importance of location and extensive use of panel data in many subfields of agricultural economics, these recently developed...
Tipo: Journal Article Palavras-chave: Climate change; Panel data; Spatial econometrics; Environmental Economics and Policy; Resource /Energy Economics and Policy; C33; Q10; Q54.
Ano: 2011 URL: http://purl.umn.edu/113518
Registros recuperados: 2
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional