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Changes and Factors Determining the Efficiency of Cattle Farming in the State of Pará, Brazilian Amazon

Author

Listed:
  • Sheryle S. Hamid

    (Postgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Castanhal 68746-360, Brazil)

  • Marcos Antônio S. dos Santos

    (Postgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Castanhal 68746-360, Brazil)

  • Albert F. Aguiar

    (Graduate, Cyberspace Institute, Federal Rural University of the Amazon (UFRA), Belém 66077-830, Brazil)

  • Tanice Andreatta

    (Postgraduate Program in Agribusiness, Federal University of Santa Maria (UFSM), Palmeira das Missões 98300-000, Brazil)

  • Nilson L. Costa

    (Postgraduate Program in Agribusiness, Federal University of Santa Maria (UFSM), Palmeira das Missões 98300-000, Brazil)

  • Maria Lúcia B. Lopes

    (Postgraduate Program Urban Development and Environment, University of the Amazon (UNAMA), Belém 66060-902, Brazil)

  • José de B. Lourenço-Júnior

    (Postgraduate Program in Animal Science (PPGCAN), Institute of Veterinary Medicine, Federal University of Para (UFPA), Castanhal 68746-360, Brazil)

Abstract

Livestock production in the Brazilian state of Pará, located in the Amazon biome, faces challenges related to sustainable production chains and competitive production systems. Historically, expansion of pastures has led to environmental pressures and low productivity. The objective is to evaluate changes in cattle raising efficiency in the microregions of Pará state and identify the factors contributing to efficient cattle production at the state level. The data analysis techniques used include Data Envelopment Analysis, Malmquist Index, and Tobit Regression. The study found that, on average, there was a marginal improvement in livestock efficiency in Pará over the analyzed years, increasing from 0.75 (75%) in 2006 to 0.76 (76%) in 2017. However, nine out of 17 microregions showed improvement in individual efficiency, while five showed a decline. Non-family agriculture, livestock credit, and land prices were identified as factors that negatively contributed to the activity’s inefficiency, while specialization in soybeans and deforestation were factors that positively contributed to inefficiency. The study suggests that financial support for technological and infrastructure improvements, more rigorous environmental policies, and a more competitive environment can further contribute to improving the efficiency of cattle farming in Pará.

Suggested Citation

  • Sheryle S. Hamid & Marcos Antônio S. dos Santos & Albert F. Aguiar & Tanice Andreatta & Nilson L. Costa & Maria Lúcia B. Lopes & José de B. Lourenço-Júnior, 2023. "Changes and Factors Determining the Efficiency of Cattle Farming in the State of Pará, Brazilian Amazon," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:13:p:10187-:d:1180579
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    References listed on IDEAS

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    1. Ferreira, Marcelo Dias Paes & Coelho, Alexandre Bragança, 2015. "Desmatamento Recente nos Estados da Amazônia Legal: uma análise da contribuição dos preços agrícolas e das políticas governamentais," Brazilian Journal of Rural Economy and Sociology (Revista de Economia e Sociologia Rural-RESR), Sociedade Brasileira de Economia e Sociologia Rural, vol. 53(1), pages 1-18, March.
    2. Marchand, Sébastien, 2012. "The relationship between technical efficiency in agriculture and deforestation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 77(C), pages 166-175.
    3. Sauer, Sérgio, 2018. "Soy expansion into the agricultural frontiers of the Brazilian Amazon: The agribusiness economy and its social and environmental conflicts," Land Use Policy, Elsevier, vol. 79(C), pages 326-338.
    4. Avkiran, Necmi K., 2007. "Stability and integrity tests in data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 41(3), pages 224-234, September.
    5. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity," Econometrica, Econometric Society, vol. 50(6), pages 1393-1414, November.
    6. Araujo, Claudio & Bonjean, Catherine Araujo & Combes, Jean-Louis & Combes Motel, Pascale & Reis, Eustaquio J., 2009. "Property rights and deforestation in the Brazilian Amazon," Ecological Economics, Elsevier, vol. 68(8-9), pages 2461-2468, June.
    7. Merry, Frank & Amacher, Gregory & Lima, Eirivelthon, 2008. "Land Values in Frontier Settlements of the Brazilian Amazon," World Development, Elsevier, vol. 36(11), pages 2390-2401, November.
    8. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    9. Caviglia-Harris, Jill L., 2018. "Agricultural innovation and climate change policy in the Brazilian Amazon: Intensification practices and the derived demand for pasture," Journal of Environmental Economics and Management, Elsevier, vol. 90(C), pages 232-248.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
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