A influência dos fatores econômicos e jurídicos sobre o desempenho das empresas do agronegócio brasileiro: período de 2003 a 2005

Andia, Luis Henrique; García, Renato; Bacha, Carlos José Caetano

doi:10.1590/s0103-20032011000400004

Cited by 5 publications

(3 citation statements)

References 26 publications

(13 reference statements)

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“…The measurement of agribusiness performance of each agent in an agroindustrial chain has become essential (Andia et al, 2011), however, from this perspective, the agricultural producer has no precise means of determining its profit margin due to the dynamics of the variables that compose its benefit/cost indicator. The current challenge of the rural establishment is more in the structure of formation of the benefit/cost indicator than in relation to the scale of production, due to the pricing imposed by the market (Andia et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

Nacife¹,

Soares²,

Teixeira³

et al. 2019

IJBA

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Agribusiness has played a strategic role for Brazil's development with the challenge of sustainable agriculture. It is proposed to determine, through Structural Equation Modeling (SEM), the validity and effects of the relationships between socioeconomic factors of the sugarcane production system in Quirinópolis, providing subsidies to the decision-making process of agricultural establishments. The research methodological approach was quantitative, applying techniques of normality statistics, hypothesis and multivariate analysis without statistical significance (P <0,05). A path diagram model was developed that presented structural quality adjustment and its validated explanatory equations, obtaining relevant R2. The results demonstrate that the Equation 1 (IBCcane = 0.02Rcane - 0.75ICcane – 0.46ISVO + 0.35ISPS + error) is explained in 73.7% of its variance (R2), in the Equation 2 (ICcane = 0.59ISVO – 0.45ISPS + 0.35SizeEstablis + error) successor vocation affects 42% on production costs and in the Equation 3 (Rcane = -0.40 AgroDistance – 0.16ISPS + error) the distance between farm and agribusiness influences 72% on the proposed revenue mix. The SEM analysis verified that social factors influence the economic factors that compose the sugarcane production system studied. The path diagram proved that the influence track relative to the costs in the proposed model is more representative than revenue for the economic results of rural sugarcane establishments.

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Section: Introductionmentioning

confidence: 99%

Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

Nacife¹,

Soares²,

Teixeira³

et al. 2019

IJBA

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“…are increasingly limited (Franks, 2014). Studies on agroindustrial chains demonstrate the concern in characterizing the agents of production chains and operational costs (Andia et al, 2011).…”

mentioning

confidence: 99%

“…Agricultural production systems have been the focus of research on performance measurement, demonstrating its importance for all agents of an agroindustrial chain and that the agricultural production facilities cannot establish its profit margin. The problem resides in the process of determining gross revenue and not in issues of scale of production, since the price is determined by the market (Andia et al, 2011). The performance measurement indicators, whether financial or non-financial, have helped managers to focus their actions on long-term perspectives of sustainable socioeconomic production in rural production facilities, where the multivariate analysis become more relevant in the preparation and selection of the most influential factors in the results (Machado et al, 2015).…”

mentioning

confidence: 99%

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2019

International Journal of Business, Economics and Management

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Food and bioenergy agriculture are growing demands of the global population. The problem of rural production facilities resides in gross revenue and not in issues related to production scale, since the price is determined by the market. The performance measure indicators, whether financial or not, have helped managers to focus their actions on longterm perspectives of sustainable socioeconomic production in rural production facilities. It is proposed to validate an equation model composed of social and economic indicators as a parameter for monitoring the development of sugarcane production in agricultural production facilities by means of multivariate analysis techniques and to characterize the socioeconomic factors different profiles in rural production facilities studied. The methodological approach was quantitative, applying techniques of inferential statistics and multivariate analysis by test for normality, test of the Friedman hypothesis, Categorical Principal Components Analysis, adjustment of multiple linear regression model and profile segmentation. The statistical tests showed statistical significance (P<0.05), CATPCA presented 2 dimensions with Cronbach's alpha adequate and a linear regression model was adjusted with adequate R 2 of 0.90. The results by profile show that the IBCcane was the best of the smallholdings with 24.39 ha-1, (100% of the lessors). The IBCcane by establishments profile was: 424.39 (smallholding); 174.66 (small); 827.34 (medium); and 2,765.96 (large). The multivariate analysis determined the equation validity for the proposed indicators, it was proven that the smallholdings have the best benefit-cost index and the benefit-cost by profile showed that the large ones have a greater financial gain due to the productive scale. Contribution/Originality: The main contribution of the article is the combination of multivariate analysis techniques CATPCA Summary Model Rotation and multiple linear regression in the validation of a twodimensional equation model with the main socioeconomic variables that influence the benefit-cost index for the sugarcane production system. 1. INTRODUCTION Recent studies have established premises in the international agricultural scenario, collaborating with evidence and fostering the need for further developmental practices (

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A Influência Da Inovação Em Produtos E Processos No Desempenho De Empresas Brasileiras

Terra¹,

Barbosa

Bouzada

2015

RAI (São Paulo)

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(Brasil) RESUMO O principal objetivo desse trabalho foi avaliar as relações entre desempenho de inovações em produtos (processos) e crescimento (lucratividade) de empresas brasileiras pertencentes a três setores: fabricação de máquinas e equipamentos; fabricação de produtos químicos e fabricação de equipamentos de informática, produtos eletrônicos e ópticos. Foram utilizados dados das pesquisas PINTEC (2003, 2005 e 2008) e PIA (2003 a 2010) coletados no Instituto Brasileiro de Geografia e Estatística -IBGE. Verificou-se, com base em resultados de regressões múltiplas e tratamento estatístico efetuado, a inexistência de uma relação positiva entre o desempenho de inovação em processo (produto) e lucratividade (crescimento). Em certa medida já se esperava que as inovações não fornecessem um nível de explicação alto para a variância em desempenho financeiro de empresas tendo em vista que a literatura indica outros fatores que também ajudam a explicar tal variância (atratividade do mercado, domínio de fontes de insumos, para citar apenas dois exemplos). Verificou-se também que a literatura visitada não é conclusiva sobre a relação entre inovação e desempenho financeiro, o que se deve em grande parte à diversidade de variáveis utilizadas na mensuração do desempenho tanto da inovação quanto financeiro. Além da rejeição das hipóteses da pesquisa, o trabalho revelou outros resultados relevantes que podem subsidiar o gestor no processo decisório relacionado ao processo de inovação. Palavras-chave:Inovação em produto; Inovação em processo; Desempenho financeiro; Lucratividade; Crescimento.

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A influência dos fatores econômicos e jurídicos sobre o desempenho das empresas do agronegócio brasileiro: período de 2003 a 2005

Cited by 5 publications

References 26 publications

Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

Structural Equation Modeling Applied to Socioeconomic Indicators in the Production of Sugarcane, in the State of Goiás

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A Influência Da Inovação Em Produtos E Processos No Desempenho De Empresas Brasileiras

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