Abstract:Purpose
The purpose of this paper is to collectively measure and compare the efficiency of Brazilian and American soybean transport corridors, from farmers to export ports, using the data envelopment analysis (DEA).
Design/methodology/approach
This paper aims to determine routes from main producing micro-regions to main export ports, specifically using slack-based measure and variables that represent the three pillars of sustainability (economic, social, and environmental). The choice of variables was guided… Show more
“…Reference [58] applied DEA to a key problem of roadway cargo transport: how to rationalize measurements of GHG emissions among different transport companies. The authors developed a benchmarking approach integrating the use of weight and volume (capacity), distance traveled, and GHG emissions.…”
Section: Methodsmentioning
confidence: 99%
“…This framework was also adopted by [62] to analyze the logistics efficiency of transporting corn for export. Besides this, the criterion of homogeneity was satisfied by considering the same variables (inputs and outputs) in all the export routes, as also presented by [58], who analyzed the performance of logistics corridors (DMUs) to carry soybeans from MT for export.…”
Section: Data Envelopment Analysis (Dea)mentioning
The inefficiency of Brazil’s logistics system to handle the outflow of farm products impairs the sector’s performance. From the economic perspective, the high freight rates put the country’s agricultural sector at a competitive disadvantage in the global market. Besides this, the reliance on highway transport causes problems of an environmental (high CO 2 emissions) and social nature (large occurrence of accidents). As an alternative to this dependence, Brazil has an extensive network of actually and potentially navigable rivers that could serve as a key element to improve the performance of the agricultural sector. Therefore, the objective of this study is to analyze the possible influence of the Tapajós-Teles Pires Waterway on the sustainable performance of 19 Brazilian soybean export routes, using data envelopment analysis (DEA). Of these, only three would use the Tapajós-Teles Pires Waterway, which is not yet in operation. The origins of the routes are four soybean-producing centers located in Mato Grosso, the Brazilian state that produces the most soybeans, destined for 12 seaports. The inputs considered are Accident Cost and CO2 Emissions, while the output is Cargo Carried per US$. For this, we use the DEA-VRS (Variable Return Scale) input-oriented model. The results obtained from the DEA model revealed satisfactory performance of the routes using the Tapajós-Teles Pires Waterway from three of the four production centers. In Campo Novo do Parecis, some 16% (471 km) of the route is composed of highways and the rest of the waterway (84%, 1576 km). In Sorriso, only 3% (85 km) of the route consists of highways, while waterway transport is responsible for 97% (2388 km), and in Querência, 24.55% of the route to the Port of Barcarena consists of highways. The use of these routes and the combination of the two transport modes presented the best efficiency indexes, making development of the waterway a key element to improve the outflow of soybeans for export. The results of this study may help Brazilian authorities to define public policies and apply resources to improve the deficiencies of the transportation system, which can lead to a better balance of the Brazilian transportation matrix.
“…Reference [58] applied DEA to a key problem of roadway cargo transport: how to rationalize measurements of GHG emissions among different transport companies. The authors developed a benchmarking approach integrating the use of weight and volume (capacity), distance traveled, and GHG emissions.…”
Section: Methodsmentioning
confidence: 99%
“…This framework was also adopted by [62] to analyze the logistics efficiency of transporting corn for export. Besides this, the criterion of homogeneity was satisfied by considering the same variables (inputs and outputs) in all the export routes, as also presented by [58], who analyzed the performance of logistics corridors (DMUs) to carry soybeans from MT for export.…”
Section: Data Envelopment Analysis (Dea)mentioning
The inefficiency of Brazil’s logistics system to handle the outflow of farm products impairs the sector’s performance. From the economic perspective, the high freight rates put the country’s agricultural sector at a competitive disadvantage in the global market. Besides this, the reliance on highway transport causes problems of an environmental (high CO 2 emissions) and social nature (large occurrence of accidents). As an alternative to this dependence, Brazil has an extensive network of actually and potentially navigable rivers that could serve as a key element to improve the performance of the agricultural sector. Therefore, the objective of this study is to analyze the possible influence of the Tapajós-Teles Pires Waterway on the sustainable performance of 19 Brazilian soybean export routes, using data envelopment analysis (DEA). Of these, only three would use the Tapajós-Teles Pires Waterway, which is not yet in operation. The origins of the routes are four soybean-producing centers located in Mato Grosso, the Brazilian state that produces the most soybeans, destined for 12 seaports. The inputs considered are Accident Cost and CO2 Emissions, while the output is Cargo Carried per US$. For this, we use the DEA-VRS (Variable Return Scale) input-oriented model. The results obtained from the DEA model revealed satisfactory performance of the routes using the Tapajós-Teles Pires Waterway from three of the four production centers. In Campo Novo do Parecis, some 16% (471 km) of the route is composed of highways and the rest of the waterway (84%, 1576 km). In Sorriso, only 3% (85 km) of the route consists of highways, while waterway transport is responsible for 97% (2388 km), and in Querência, 24.55% of the route to the Port of Barcarena consists of highways. The use of these routes and the combination of the two transport modes presented the best efficiency indexes, making development of the waterway a key element to improve the outflow of soybeans for export. The results of this study may help Brazilian authorities to define public policies and apply resources to improve the deficiencies of the transportation system, which can lead to a better balance of the Brazilian transportation matrix.
“…However, in organizations with inadequate performance, it is possible to consider numbers of the benchmarking stages as one of the prominent factors in the decision-making procedure to improve efficiency of the stage. Melo et al (2018) assessed the measurements of corridors and shipping routes using DEA. In their study, the effectiveness of Brazilian and American transport corridors in the field of soybeans from farm to export terminals was measured and compared with the use of DEA.…”
Benchmarking is an effective method for organizations to increase their productivity, quality of products, reliability of processes or services. The organization may make a comparison between its performance and that of the peers from benchmarking, and recognize their advantages as well as disadvantages. The main objective of the present systematic literature review has been the study of DEA benchmarking process. Therefore, it examined and gave a summary of various DEA models applied worldwide to improve benchmarking. Accordingly, a list of published academic papers that appeared in high-ranking journals between 2003 and February 2020 was collected for a systematic review of the DEA benchmarking application. Consequently, the papers selected have been classified according to year of publication, purpose of research, outcomes and results. This study has identified eight major applications including: transportation, service sector, product planning, maintenance, hotel industry, education, distribution and environmental factors. They take up a total of 82% of all application-embedded papers. Among all the applications, the highest recent development has been in both the transportation and service sectors. Results showed higher potential of DEA as a suitable evaluation method for the further benchmarking researches, wherein the production feature between outputs and inputs has been practically lacked or very hard to obtain.
“…The software MATLAB was used to execute the SBM DEA model. The choice of the model (SBM) was informed by its characteristic of simultaneously maximizing outputs and minimizing inputs and its previous application in the related context of soybean pathways selections in Brazil, considering the transportation from farmers to ports, by Melo et al (2018).…”
Section: Investigation Of Dea Model Configurations: Constant and Varimentioning
Most European countries have committed to ambitious emissions reduction goals. Energy generation in particular is responsible for more than 30% of global emissions, where significant focus has been placed on renewable energy generation, including biomass. On the one hand, there are countries, like the UK, where the biomass stock is insufficient to meet the demand; on the other hand, there are countries, like Brazil, where the stock significantly exceeds the demand. To promote a natural symbiosis, it is necessary to take on the challenge of transporting biomass through long distances in an environmentally and economically efficient manner. This paper aims to assess the efficiency of alternative pathways of international biomass supplychains. The alternatives involve different biomass origin regions, transportation modes, export ports and processing technologies, including torrefaction. Data Envelopment Analysis (DEA) has been used for the first time to assess the efficiency of the alternative biomass supply chain pathways in a Latin American context, considering multiple-criteria relating to economic and environmental performance simultaneously, such as the biomass delivered cost, the environmental impact and the fossil energy consumption. Additionally, a sensitivity analysis was performed to analyse the robustness of the results under uncertainty in parameter values. The DEA approach presented can assist the process of planning biomass sourcing and improve decision-making under multiple decision criteria. The results can support medium-and longterm strategic decisions for decision-and policy-makers.
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