Energy cost to produce and transport crops – The driver for crop prices? Case study for Mato Grosso, Brazil

Zimmer, Yelto; Marques, Giulio V.

doi:10.1016/j.energy.2021.120260

Cited by 5 publications

(2 citation statements)

References 5 publications

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“…Soybean production is concentrated in the state of Mato Grosso. About 46% of Brazilian grain production, including corn, is concentrated in the Midwest region, in the states of Mato Grosso, Mato Grosso do Sul, and Goiás [13]. Only with an efficient infrastructure of transport services was it possible to guarantee a better operationalization of logistics, in the movement of products from the soybean complex, from the production site to the customs facilities (spaces delimited by the customs authority: ports, airports, and border points, whose purpose is to control the movement, storage and customs clearance of goods destined or coming from abroad [14]) [15].…”

Section: Introductionmentioning

confidence: 99%

A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil

et al. 2023

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The transport system is one of the main bottlenecks of the world’s largest producer and exporter of soybeans, Brazil. Long-distance truck transportation of grains increases costs, food waste, and CO2 emissions. To handle these problems, the Brazilian government seeks to expand the transportation system through the national transport logistics plan (PNLT), promoting efficient operations. Collaborating on the environmental aspect, this paper proposes sustainable logistic infrastructure for soybean transportation. Investigating the largest grain-producing state in the world, Mato Grosso (Brazil), we show the optimal location for capacitated transshipment terminals untangling the relationship between logistics and sustainability. Besides handling cargo truck costs and CO2 emission, the optimization model considers cities, road distances, transshipment terminals existents, terminals capacities, implementing costs, and locations near waterways and railways. In five scenarios with different combinations of waterways and railways, we contrast the cost of installing terminals and the total road distance traveled under different weights for the environmental components. The results indicate that it is possible to simultaneously obtain the minimum cost of installing transshipment terminals and to reduce emissions by 20% in all analyzed scenarios. We conclude that obtaining strategic solutions at lower costs can be combined with proper environmental responsibility. As contributions, the results allow for advances in the area of sustainable logistics, encouraging the development of new research in Brazil involving the dimensions of sustainability. In addition, the study supports the government’s strategic decisions regarding ongoing discussions on expanding the intermodal soy transport network in the country.

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Section: Introductionmentioning

confidence: 99%

A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil

et al. 2023

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“…Energy costs for crop production and transportation do not increase crop prices (Zimmer & Marques, 2021). However, oil prices can affect agricultural prices through biofuels and exchange rates (Vu et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Dynamic correlation between crude oil and agricultural futures markets

Chen

Yan

Kang

2022

Review Development Economics

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In recent years, the relationship between agricultural commodities and crude oil has become increasingly close with the promotion of biofuel policies. This study examines the dynamic correlation between global crude oil futures and seven agricultural commodity futures by applying the consistent dynamic conditional correlation and dynamic equicorrelation models. The empirical results show that the dynamic correlation between the global crude oil futures market and China's agricultural futures market is weak compared to the global agricultural futures market. In particular, soybean oil has the strongest correlation with crude oil, while Dalian Commodity Exchange (DCE) corn and Zhengzhou Commodity Exchange wheat have the weakest correlation with crude oil. There is an indirect linkage between crude oil futures and DCE soybean meal and DCE soybean oil. Moreover, the dynamic correlation between crude oil and agricultural commodities increased during the financial crisis, the novel coronavirus (COVID‐19) epidemic, and the crude oil crash crisis. Brent crude oil has a stronger co‐movement with China's agricultural commodities than West Texas Intermediate crude oil and can better hedge the risk of agricultural commodities. The findings of this study provide some insights into the contagion risk management of crude oil futures and agricultural futures markets.

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Inland waterway transport development: A Q-Method study on Tocantins River, Brazilian Amazon

Barros,

Bulhões de Carvalho,

Frate

et al. 2023

Case Studies on Transport Policy

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Energy cost to produce and transport crops – The driver for crop prices? Case study for Mato Grosso, Brazil

Cited by 5 publications

References 5 publications

A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil

A Sustainable Location Model of Transshipment Terminals Applied to the Expansion Strategies of the Soybean Intermodal Transport Network in the State of Mato Grosso, Brazil

Dynamic correlation between crude oil and agricultural futures markets

Inland waterway transport development: A Q-Method study on Tocantins River, Brazilian Amazon

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