Determinantes da Demanda Brasileira por Importação de Arroz: uma abordagem não linear

Rafael Pentiado Poerschke and Igor Morais

Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), 2014, vol. 52, issue 01, 18

Abstract: The objective of this study is to analyze the behavior of the Brazilian demand for rough and milled rice between January 1995 and June 2010. The main aim is to test the adequacy of linear and non-linear relations that represent short and long-term variables on the demand. In general, long-term impacts from income and domestic price were the most determinants to imports and the rice can be seen as an inferior good. The price of imports contributes less than proportionately, while the importer seems to adjust the quantity with some lag. The correction of the model to short-term shocks was eased in monthly non-linear estimates, while it remained nearly stable in quarterly estimates. Finally, one can say that import cycles were strongly related to adverse climatic events, as well as to alterations in trade policy. The results draw attention to the influence of the government on the imports through pricing incentives to third parties – what proves to be helpful to overcome supply shortages in Brazil and Mercosur.

Keywords: Agribusiness (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

Downloads: (external link)
https://ageconsearch.umn.edu/record/184594/files/Artigo%2010.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:rdecag:184594

DOI: 10.22004/ag.econ.184594

Access Statistics for this article

More articles in Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR) from Sociedade Brasileira de Economia e Sociologia Rural Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().