Main variables that are influenced by the anthropic activity resulting from the soybean production in the municipalities of Mato Grosso

This study aimed to identify how the main variables that are influenced by the anthropic activity resulting from the soybean production in the Mato Grosso Municipalities cluster among themselves. Factor analysis method was used to identify underlying dimensions that can account for the shared variation of observed variables. The factorial analysis proposes to reduce the number of variables by the extraction of independent factors, so that a better explanation of the relationship between the original variables occurs, avoiding correlational problems and reducing the relevance of endogeneity. Three dimensions were identified, each with a different combination of variables. Based on the results from principal components modelling it is fair to state that the impacts of the anthropic activity resulting from soybean production in the Mato Grosso municipalities can be analyzed according to three main domains: production impacts, socioeconomic impacts and demographic impacts. The main contribution of this paper is that it offers a useful framework of analysis for both public and private decision-makers regarding the influence of soybean production on economic, social, environmental, and cultural factors

Droughts in the Tietê-Paraná waterway: impacts on the direct, indirect and hidden costs in the transportation of soybean.

Brazil's agricultural economy is growing and increasing productivity. Therefore, it has required transportation systems with high load capacity and lower transportation costs. However, with the drought in the Southeast region of Brazil, the waterway Tietê-Paraná closed since May 2014 generating a loss of more than 30 million last year. Thus, this study investigates the impacts on direct, indirect and hidden costs resulting from this change of route for soy transport. The methodology consists of an exploratory, descriptive and bibliographic research that seeks to raise the main costs. The results show that failing to ensure the production of soybeans by the Tiete-Parana waterway and using the highway transportation costs for waterway users are increased by US$ 37,760,146.86

CO2 Gas Emissions of Soybean Production and Transportation in the Different Macro-regions of Mato Grosso State - Brazil

Part 2: Production Management in Food Supply ChainsInternational audienceBrazil is one of the largest producers and exporters of soybeans and its production is mainly transported via the road system. The growing concern on the impacts caused by anthropogenic greenhouse gas emissions from agroindustry production as well as the commitment to international treaties supports the relevance of controlling and estimating their emissions. The objective of this work is to calculate the emissions of the main sources of GHG in the cultivation and transport of soybean production in the macro-regions of Mato Grosso, pointing out the main routes and modal integration of the production sites to the main Brazilian ports. For this purpose, the Life Cycle Assessment methodology was adopted. The results show that in most cases, the production of one kg of soybean emits more CO2 than transportation of the same mass. This trend is more evident when the best actual combination of transportation modals is considered for each macro-region. The substitution of some highway stretch by water and/or railway has a positive effect, and it is possible to affirm that the use of multimodality, allows a significant reduction in CO2 emission

O transporte rodoviário no Brasil e suas deficiências

Within the Brazilian transport matrix, road transportation accounts for 65% of the total freight carried, and transport accounts for 6.8% of the logistics costs in relation to GDP. This article aims to present the main characteristics of this modal and the difficulties in infrastructure due to the lack of highway conditions, the high age of the fleet, theft of cargo, inadequate terminals and little appreciation by government entities. Presenting the current scenario of the modal, we perceive the need for greater investments in general, seeking to ensure a greater competitiveness in the flow of production to the country. Despite its greater participation in the transport matrix, it does not present a higher quality in the service provided, directly impacting the price of the products, either for local or international commerce, restricting the competitiveness of the sectors involved. The present study aims to show the importance of the modal within the supply chain and its influence in the increase of costs by the presented infrastructure.Dentro da matriz de transporte brasileira o transporte rodoviário responde por 65% do total de mercadorias transportadas sendo que em relação ao PIB, o transporte equivale a 6,8% dos custos logísticos. Este artigo tem como objetivo apresentar as principais características desse modal e as dificuldades na infraestrutura a partir da falta de condições das rodovias, a idade elevada da frota, o roubo de cargas, terminais inadequados e a pouca valorização pelas entidades governamentais. Apresentando o cenário atual do modal, percebemos a necessidade de maiores investimentos no geral, buscando garantir uma maior competitividade no escoamento da produção para o país. Apesar de sua maior participação na matriz de transporte, não apresenta uma maior qualidade no serviço prestado impactando diretamente no preço dos produtos seja para o comercio local ou internacional, restringindo a competitividade dos setores envolvidos.  O presente estudo visa mostrar a importância do modal dentro da cadeia de suprimentos e sua influência no aumento dos custos pela infraestrutura apresentada

Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production

This paper aims to identify and analyze the factors that influence the decision of Mato Grosso’s farmers to produce soybean using the Analytic Hierarchy Process (AHP). We found evidence that decisionmaking of soybean production is related to rural production aspects such as climate, financing, cost of inputs, and soil quality rather than marketing and logistics. The novelty of this paper is the empirical analysis of the decision-making in agricultural production using AHP. The decision model was created and tested considering 21 farmers and 19 experts linked to the soybean production. Three different scenarios were considered: farmers’ view, experts’ view, and combined view. Our findings indicate that farmers and experts agree with rural aspects are predominant in the decision to plant soybean. Moreover, logistics have been used as an important flag of soybean competitiveness on international trade by soybean stakeholders in Brazil. However, our results show that logistics impact in the soybean decision-making process is low. Due to data limitation access, this study focuses only on Mato Grosso. However, this study has an exploratory character and presents empirical results that may help to understand soybean production over the country

O transporte rodoviário no Brasil e suas deficiências

Dentro da matriz de transporte brasileira o transporte rodoviário responde por 65% do total de mercadorias transportadas sendo que em relação ao PIB, o transporte equivale a 6,8% dos custos logísticos. Este artigo tem como objetivo apresentar as principais características desse modal e as dificuldades na infraestrutura a partir da falta de condições das rodovias, a idade elevada da frota, o roubo de cargas, terminais inadequados e a pouca valorização pelas entidades governamentais. Apresentando o cenário atual do modal, percebemos a necessidade de maiores investimentos no geral, buscando garantir uma maior competitividade no escoamento da produção para o país. Apesar de sua maior participação na matriz de transporte, não apresenta uma maior qualidade no serviço prestado impactando diretamente no preço dos produtos seja para o comercio local ou internacional, restringindo a competitividade dos setores envolvidos. Â O presente estudo visa mostrar a importância do modal dentro da cadeia de suprimentos e sua influência no aumento dos custos pela infraestrutura apresentada

Applying analytic hierarchy process (AHP) to identify decision-making in soybean supply chains: a case of Mato Grosso production

This paper aims to identify and analyze the factors that influence the decision of Mato Grosso’s farmers to produce soybean using the Analytic Hierarchy Process (AHP). We found evidence that decisionmaking of soybean production is related to rural production aspects such as climate, financing, cost of inputs, and soil quality rather than marketing and logistics. The novelty of this paper is the empirical analysis of the decision-making in agricultural production using AHP. The decision model was created and tested considering 21 farmers and 19 experts linked to the soybean production. Three different scenarios were considered: farmers’ view, experts’ view, and combined view. Our findings indicate that farmers and experts agree with rural aspects are predominant in the decision to plant soybean. Moreover, logistics have been used as an important flag of soybean competitiveness on international trade by soybean stakeholders in Brazil. However, our results show that logistics impact in the soybean decision-making process is low. Due to data limitation access, this study focuses only on Mato Grosso. However, this study has an exploratory character and presents empirical results that may help to understand soybean production over the country

Effects of the Logistics in the Volume of Soybean by Export Corridor of Mato Grosso

Part 12: Agrifood Supply ChainsInternational audienceBrazil is one of the biggest producer and exporter of soybean. Its production is basically divided among six main players which Mato Grosso alone responds for 29,3% of total production of the country. The aim of this paper is to investigate the relation between logistics factors and the volume of soybean transported by corridors of exportation. To this end, we develop a multi-linear regression model and tested using data of Mato Grosso state. The results show that low transportation costs per ton, port capacity and increase soybean volume in the corridor of exportation