2010
DOI: 10.1590/s0103-20032010000300003
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Abstract: Resumo: O vírus da influenza aviária H5N1 tem se disseminado rapidamente por diversos países e continentes nos últimos anos, podendo também chegar ao Brasil.A ausência e a necessidade de estimativas dos efeitos econômicos que surtos da doença podem provocar sobre o setor avícola brasileiro motivaram a presente pesquisa. Foram simulados três cenários utilizando-se de um modelo aplicado de equilíbrio geral inter-regional, denominado TERM-BR. Os resultados sinalizam impactos negativos de maior dimensão sobre o se… Show more

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Cited by 4 publications
(1 citation statement)
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“…Its central theoretical structure comes from the TERM model (The Enormous Regional Model) -a static CGE model developed for the Australian economy (Horridge et al, 2005;Horridge, 2012) -and its dynamic extension (Wittwer & Verikios, 2012). A static version of TERM-BR has been widely used in studies for Brazil (Santos & Ferreira Filho, 2007;Fachinello & Ferreira Filho, 2010;Pavão & Ferreira Filho, 2011;Ferreira Filho & Moraes, 2015;Diniz & Ferreira Filho, 2015;Santos & Ferreira Filho, 2017;Silva & Ferreira Filho, 2018). The dynamic version of the model for the Brazilian economy, although more recent, has also been used in several studies (Ferreira Filho & Horridge, 2014;Silva et al, 2017).…”
Section: Empirical Modelmentioning
confidence: 99%
“…Its central theoretical structure comes from the TERM model (The Enormous Regional Model) -a static CGE model developed for the Australian economy (Horridge et al, 2005;Horridge, 2012) -and its dynamic extension (Wittwer & Verikios, 2012). A static version of TERM-BR has been widely used in studies for Brazil (Santos & Ferreira Filho, 2007;Fachinello & Ferreira Filho, 2010;Pavão & Ferreira Filho, 2011;Ferreira Filho & Moraes, 2015;Diniz & Ferreira Filho, 2015;Santos & Ferreira Filho, 2017;Silva & Ferreira Filho, 2018). The dynamic version of the model for the Brazilian economy, although more recent, has also been used in several studies (Ferreira Filho & Horridge, 2014;Silva et al, 2017).…”
Section: Empirical Modelmentioning
confidence: 99%