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Mechanization process of the sugar cane harvest and its direct and indirect impact over the employment in Brazil and in its 5 macro regions

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  • Guilhoto, Joaquim José Martins
  • Barros, Alexandre L. Mendonça de
  • Marjotta-Maistro, Marta C.
  • Istake, Márcia

Abstract

One of the main concerns about the mechanization process of the sugar cane harvest is its direct and indirect impact over the employment. To study such an impact, it was: a) constructed an interregional input-output model, for the Brazilian economy for 1997, at the level of its 5 macro regions, with specific details for the sugar cane, alcohol, and sugar sectors; b) estimated the employment level, for the sectors in the model, by the qualification level of the workforce, i.e., by years of study (less than 1 year, 1 to 3 years, 4 to 7 years, 8 to 10 years, 11 to 14 years, and greater than 15 years); c) construct 3 possible scenarios for the mechanization process. The results are rather stressing, from the estimated 510,651 people working in the sugar cane harvest in 1997, one has that, depending on the scenario being considered, the total workforce will be reduced somewhere between 243,211 to 316,288 people, mainly in the lower qualification levels and in the Northeast and Southeast regions. This also has an impact over the employment generate indirectly, which is estimated through the use of the interregional input-output model constructed.

Suggested Citation

  • Guilhoto, Joaquim José Martins & Barros, Alexandre L. Mendonça de & Marjotta-Maistro, Marta C. & Istake, Márcia, 2002. "Mechanization process of the sugar cane harvest and its direct and indirect impact over the employment in Brazil and in its 5 macro regions," MPRA Paper 38070, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:38070
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    References listed on IDEAS

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    1. Shikida, Pery Francisco Assis & Bacha, Carlos José Caetano, 1999. "Evolução da Agroindústria Canavieira Brasileira de 1975 a 1995," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 53(1), January.
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    Cited by:

    1. Herreras Martínez, Sara & van Eijck, Janske & Pereira da Cunha, Marcelo & Guilhoto, Joaquim J.M. & Walter, Arnaldo & Faaij, Andre, 2013. "Analysis of socio-economic impacts of sustainable sugarcane–ethanol production by means of inter-regional Input–Output analysis: Demonstrated for Northeast Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 290-316.
    2. Ekaterina Krivonos & Marcelo Olarreaga, 2009. "Sugar Prices, Labor Income, and Poverty in Brazil," Economía Journal, The Latin American and Caribbean Economic Association - LACEA, vol. 0(Spring 20), pages 95-128, January.
    3. Brinkman, Marnix L.J. & da Cunha, Marcelo P. & Heijnen, Sanne & Wicke, Birka & Guilhoto, Joaquim J.M. & Walter, Arnaldo & Faaij, André P.C. & van der Hilst, Floor, 2018. "Interregional assessment of socio-economic effects of sugarcane ethanol production in Brazil," Renewable and Sustainable Energy Reviews, Elsevier, vol. 88(C), pages 347-362.
    4. Marie-Gabrielle Piketty & Tatiane de Menezes & João Bernardo Neto Aurélio Duarte, 2008. "Sugar cane in Brazil, poverty and equity: evidences for the 1992-2006 period," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807211634520, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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      Keywords

      input-output; employment; Brazil; sugar cane;
      All these keywords.

      JEL classification:

      • R15 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Econometric and Input-Output Models; Other Methods
      • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

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