IDEAS home Printed from
   My bibliography  Save this paper

Modal composition of cargo transportation and income inequality in Brazil


  • Azzoni, Carlos Roberto
  • Guilhoto, Joaquim M.


A Leontief-Miyazawa model was estimated to measure the income distribution effects of changes in the modal composition of cargo transportation in Brazil. It was calibrated for year of 2004, and considers 31 sectors (4 of which are related to cargo transportation: road, rail, water, and air), and 10 income brackets. A transfer of 10% of road transportation to rail or water was simulated. The results show that the relative impacts are small, considering the size of the Brazilian economy and the small importance of the transportation sector. Increases in the share of rail or water transportation will increase GDP and personal income, but will decrease employment. Increases in the share of rail transportation will have more positive effects on personal income and income distribution than increases in the share of water transportation. A change to water will result in a larger GDP change and a smaller number of jobs lost in comparison to a change to rail. Although rail and water present larger shares of intermediate purchases from pro-poor sectors than road transportation, the latter distributes directly more income to the low income brackets. On balance, the result is a very modest change in the Gini coefficient

Suggested Citation

  • Azzoni, Carlos Roberto & Guilhoto, Joaquim M., 2008. "Modal composition of cargo transportation and income inequality in Brazil," MPRA Paper 31411, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:31411

    Download full text from publisher

    File URL:
    File Function: original version
    Download Restriction: no

    References listed on IDEAS

    1. Guilhoto, J. J. M. & Sesso Filho, U. A., 2005. "Estimação da Matriz Insumo-Produto a Partir De Dados Preliminares das Contas Nacionais
      [Estimation of input-output matrix using preliminary data from national accounts]
      ," MPRA Paper 38212, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    More about this item


    Income; transportation; input-output;

    JEL classification:

    • O1 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development
    • R40 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - General
    • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods


    Access and download statistics


    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:31411. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Joachim Winter). General contact details of provider: .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.