IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/54225.html
   My bibliography  Save this paper

A distribuição setorial do PIB do agronegócio brasileiro
[The sectoral distribution of the Brazilian agribusiness GDP]

Author

Listed:
  • Guilhoto, Joaquim José Martins
  • Furtuoso, Maria Cristina Ortiz

Abstract

In order to have a better understanding of the Brazilian Agribusiness this paper is divided into two parts, both consisting of the development of new techniques. In the first part it is defined the set of sectors that belong to the Brazilian Agribusiness and in the second one the Agribusiness GDP is measured for 1995. The Agribusiness was decomposed into 2 complexes: a) Vegetal Products; and b) Animal Products. In terms of shares in the Brazilian GDP one has that in 1995 the Agribusiness answered for around 29% of the Brazilian GDP, while the shares of Vegetal Products and Animal Products were of 20.5% and 8.5%, respectively. The contribution of each complex for the GDP of the Agribusiness was also estimated, giving a share of 71.35% for the Vegetal Products complex and of 28.65% for the Animal Products complex. The shares of the agriculture-based industries in the Agribusiness GDP were also estimated. We should stress that the results were obtained through the development of new techniques that on one hand are consistent with the methodology used by IBGE to estimate the Brazilian National Accounts, and on the other hand this new methodology solves the problem of double counting found in early estimates of the Brazilian Agribusiness GDP. As such, the results in this paper should present a better picture of what is really the Brazilian Agribusiness.

Suggested Citation

  • Guilhoto, Joaquim José Martins & Furtuoso, Maria Cristina Ortiz, 2000. "A distribuição setorial do PIB do agronegócio brasileiro [The sectoral distribution of the Brazilian agribusiness GDP]," MPRA Paper 54225, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:54225
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/54225/1/MPRA_paper_54225.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Brazilian agribusiness; input-output; GDP;
    All these keywords.

    JEL classification:

    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • D57 - Microeconomics - - General Equilibrium and Disequilibrium - - - Input-Output Tables and Analysis

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:54225. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.