Structure of the production module, production factors and economic performance in Brazilian coffee growth

Coffee growing is an important activity for Brazilian agribusiness, and several production factors can reflect on economic and productive results. In this sense, the objective of this work was to evaluate, through Structural Equation Modeling, the interactions between property structure and effecti...

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Main Authors: Matheus Mangia Marques, Gustavo Alves de Melo, Luiz Gonzaga de Castro Júnior, Eduardo Gomes Carvalho, Maria Gabriela Mendonça Peixoto, Samuel Borges Barbosa, Maria Cristina Angélico de Mendonça, Patrícia Guarnieri dos Santos, André Luiz Marques Serrano, Lucas Oliveira Gomes Ferreira, José Baltazar Salgueirinho Osório de Andrade Guerra
Format: Article
Language:English
Published: Universidad Nacional de Colombia 2024-11-01
Series:Dyna
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Online Access:https://revistas.unal.edu.co/index.php/dyna/article/view/113044
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Summary:Coffee growing is an important activity for Brazilian agribusiness, and several production factors can reflect on economic and productive results. In this sense, the objective of this work was to evaluate, through Structural Equation Modeling, the interactions between property structure and effective operational costs with productivity, product value, and economic performance for coffee growing in Brazil. It was observed that the property structure positively influences productivity, but the hypotheses that they influence product value and economic performance were not validated. As for the effective operating costs, it was only possible to affirm a negative influence on financial performance. In this way, the study contributes to the formation of strategies among producers as well as providing theoretical support on the applicability of the structural equation modeling technique. Finally, it is suggested the use of new managerial indicators to measure economic performance, the evaluation of the impact of coffee beverage quality on costs and ownership structure, in addition to replicating the study for other crops such as oranges, apples, bananas, and papaya.
ISSN:0012-7353
2346-2183