Sugarcane industry's socioeconomic impact in São Paulo, Brazil: A spatial dynamic panel approach

Gilio, Leandro; Moraes, Márcia Azanha Ferraz Dias de

doi:10.1016/j.eneco.2016.06.005

Cited by 43 publications

(26 citation statements)

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“…In regions where synergistic infrastructure and logistics are available, economies of scale reduce the cost of production, and this influences farmers who are less likely to sell, rent or convert pasture or soybeans to sugarcane (Sparovek et al, 2007;Nagavarapu, 2010;Gilio and De Moraes, 2016;Spera et al, 2017). If they are surrounded by other soybean farmers or farmers, or infrastructure that supports intensive soybean production or pasture, crop exchange is less effective, a fact found in São Paulo with the sugarcane sector (Goldemberg, 2007) and with penetrating soy and cattle sectors across the Amazon and Cerrado (Garrett et al, 2013).…”

Section: Literature Reviewmentioning

confidence: 99%

“…In this perspective, the use of indicators and rates for the assessment of sustainability has grown considerably in recent decades, including in the sugarcane production system, since it is an instrument that provides technical information in a synthetic manner, presenting the variables that best represent the desired objectives (Guimarães et al, 2010). It is also important to highlight that the sugarcane production system, for obtaining results such as economic viability, has demonstrated, in specialized research, concerns with economic indicators and logistical factors, which involve problems related to distance and transportation time from the agricultural production facilities to the sugar energy agroindustry, due to the degradation of sugarcane and consequent economic loss (Gilio and De Moraes, 2016;Spera et al, 2017). The sugarcane production system has also been the focus of research regarding social indicators, since the perception of their influence on economic factors is feasible (Machado et al, 2014;Machado et al, 2015).…”

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confidence: 99%

“…The sugarcane production system has also been the focus of research regarding social indicators, since the perception of their influence on economic factors is feasible (Machado et al, 2014;Machado et al, 2015). In the scenario of agricultural expansion in Brazil, there has been a substitution of food crops and pastures by sugarcane plantations (Gilio and De Moraes, 2016). The city of Quirinópolis is part of this context and was consolidated with the production, in 2017, of 7,142,253 tons of sugarcane in a harvested area of 86,262 hectares, as the main sugarcane producing pole in Goiás and the second one in Brazil (IBGE -Instituto Brasileiro de Geografia e Estatística, 2018a) justifying studies that may contribute to the local socioeconomic development (Dzanja, 2018).…”

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confidence: 99%

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Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Nacife

Soares

2019

International Journal of Business, Economics and Management

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Article HistoryFood 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.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Nacife

Soares

2019

International Journal of Business, Economics and Management

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“…In Brazil over the past two decades, the agricultural frontier for sugarcane cultivation has been widened, changing the dynamics of land use by including new areas resulting from the replacement of traditional crops and/or pastures, mainly due to the expansion of biofuel production (Gilio, Moraes, 2016). Studies indicate that pasture is more likely to be exchanged for sugarcane than soybeans, and most of the sugarcane cultivation area was not produced over native Cerrado vegetation (Spera et al, 2017;Nacife et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis Referring to Rural Enterprises of Sugarcane Local Productive Arrangement (LPA) in Quirinópolis, Brazil

Nacife

Soares

Castoldi

2019

IJBA

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In Brazil in recent decades, the the dynamics of land use widened the agricultural frontier for sugarcane cultivation by modifying and replacing intensively traditional and pasture crops. It is proposed to examine the aggregating characteristics of rural enterprises that are part of the sugarcane agribusiness productive arrangement, evaluating their profiles, providing a more effective understanding of their socioeconomic sustainability. The quantitative approach was adopted applying statistical tests for variable selection and multivariate statistical techniques (cluster analysis) to evaluate rural enterprises. The results indicated two clusters with peculiar profiles, and the average distance between farm and agribusiness (± 22 km) and succession capacity (± 2.5 points) of both are similar. The other variables were discrepant (P <0.05), in cluster 1 the very negative rural exodus (-48%) and in cluster 2 positive (23%). Operating costs in relation to compensation for Cluster 1 was 61%, much higher than cluster 2 with 6% on average. It was concluded that through cluster analysis that the contract variables and the size of the establishment are the most significant factors directly influencing the rural exodus and production costs. These observations contribute to the creation of sectorial policies for the use of land and regional economic development, as such imply in a theoretical consolidation of precepts on the sugarcane expansion, as such also imply, under the perspective of the rural practice, in elements for the improvement in planning the agricultural enterprise.

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“…Currently, the top producers are Brazil, India, Cuba, Mexico, and Ch ina. In Brazil, this crop has a major socioeconomic importance as it provides income, employ ment, and foreign exchange, main ly fro m ethanol and sugar production (Gilio & Moraes, 2016).…”

Section: Introductionmentioning

confidence: 99%

Soil Solution Distribution in Subsurface Drip Irrigation in Sugarcane

Souza

Bizari

2018

Eng. Agríc.

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Given the lack of studies on subsurface drip irrigation in sugarcane plantations, there has been a growing demand for such information, mainly regarding soil solution profile and availability to plants. Thus, this study aimed to evaluate the effects of soil-water solution distribution on qualitative and quantitative traits of sugarcane irrigated by subsurface drip irrigation at two flows (1.6 and 3.5 L h -1 ). For each application rate, four PVC containers (500 L) were used and filled with sandy soil, where a set of 36 TDR probes was installed. Drippers were placed at a depth of 0.30 m. Irrigation was managed based on TDR daily measurements, maintaining soil moisture within the root zone at field capacity. Sugarcane variety used was RB 845210, being fertigated according to soil chemical analysis. The results showed that the distribution of soil-water solution became stable at different depth layers during applications, highlighting a relationship between soil solution storage and wetted soil volume. Moreover, irrigation flow rates had no effect on the distribution of water and nutrients throughout the soil profile, neither crop yield, technological quality nor root density.

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Sugarcane industry's socioeconomic impact in São Paulo, Brazil: A spatial dynamic panel approach

Cited by 43 publications

References 15 publications

Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Multivariate Analysis in Formulation of the Benefit-Cost Index Related to the Sugarcane Production System in the Quirinopolis Municipality Productive Center, Goias, Brazil

Cluster Analysis Referring to Rural Enterprises of Sugarcane Local Productive Arrangement (LPA) in Quirinópolis, Brazil

Soil Solution Distribution in Subsurface Drip Irrigation in Sugarcane

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