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Long-term profitability of crop-livestock systems, with and without trees

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  • Pontes, Laíse da Silveira
  • Porfírio-da-Silva, Vanderley
  • Moletta, José Luiz
  • Telles, Tiago Santos

Abstract

Integrated crop-livestock systems have been encouraged worldwide as they align with the principles of cleaner production. However, studies on these systems have mainly explored agronomic and environmental indicators; thus, fewer studies have been conducted considering an economic perspective, particularly when trees are introduced.

Suggested Citation

  • Pontes, Laíse da Silveira & Porfírio-da-Silva, Vanderley & Moletta, José Luiz & Telles, Tiago Santos, 2021. "Long-term profitability of crop-livestock systems, with and without trees," Agricultural Systems, Elsevier, vol. 192(C).
    • Handle: RePEc:eee:agisys:v:192:y:2021:i:c:s0308521x21001578
    DOI: 10.1016/j.agsy.2021.103204
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    References listed on IDEAS

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    1. Helmut Lütkepohl & Fang Xu, 2012. "The role of the log transformation in forecasting economic variables," Empirical Economics, Springer, vol. 42(3), pages 619-638, June.
    2. Carrer, Marcelo José & Maia, Alexandre Gori & de Mello Brandão Vinholis, Marcela & de Souza Filho, Hildo Meirelles, 2020. "Assessing the effectiveness of rural credit policy on the adoption of integrated crop-livestock systems in Brazil," Land Use Policy, Elsevier, vol. 92(C).
    3. de Oliveira Silva, Rafael & Barioni, Luis Gustavo & Hall, J. A. Julian & Moretti, Antonio Carlos & Fonseca Veloso, Rui & Alexander, Peter & Crespolini, Mariane & Moran, Dominic, 2017. "Sustainable intensification of Brazilian livestock production through optimized pasture restoration," Agricultural Systems, Elsevier, vol. 153(C), pages 201-211.
    4. Martinelli, Gabrielli do Carmo & Schlindwein, Madalena Maria & Padovan, Milton Parron & Gimenes, Régio Marcio Toesca, 2019. "Decreasing uncertainties and reversing paradigms on the economic performance of agroforestry systems in Brazil," Land Use Policy, Elsevier, vol. 80(C), pages 274-286.
    5. Rosa-Schleich, Julia & Loos, Jacqueline & Mußhoff, Oliver & Tscharntke, Teja, 2019. "Ecological-economic trade-offs of Diversified Farming Systems – A review," Ecological Economics, Elsevier, vol. 160(C), pages 251-263.
    6. Van Vooren, Laura & Reubens, Bert & Broekx, Steven & Pardon, Paul & Reheul, Dirk & van Winsen, Frankwin & Verheyen, Kris & Wauters, Erwin & Lauwers, Ludwig, 2016. "Greening and producing: An economic assessment framework for integrating trees in cropping systems," Agricultural Systems, Elsevier, vol. 148(C), pages 44-57.
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    Cited by:

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