Container repositioning and agricultural commodities: Shipping soybeans by container from US hinterland to overseas markets

Clott, Christopher; Hartman, Bruce C.; Ogard, Elizabeth; Gatto, Althea

doi:10.1016/j.rtbm.2014.10.006

Cited by 20 publications

(10 citation statements)

References 10 publications

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“…Alternatively, this could be explained by changing marginal costs for cultivation of soybean and transportation of the product to reach consumers. For example, transport by rail or boat could be a factor in trades depending on whether the ultimate destination of the product is located in the USA interior as opposed to the coasts (Clott et al 2015). It may be informative to further explore the relative importance of edges with distinct attributes; for example, Zhu et al (2014) found that bidirectional edges were more important to diffusion within online social networks than edges that only operated in one direction.…”

Section: Key Sending and Receiving Systems And Flow Pathwaysmentioning

confidence: 99%

Network analysis as a tool for quantifying the dynamics of metacoupled systems: an example using global soybean trade

Schaffer‐Smith¹,

Tomscha²,

Jarvis³

et al. 2018

E&S

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2018. Network analysis as a tool for quantifying the dynamics of metacoupled systems: an example using global soybean trade. Ecology and Society 23(4):3. https://doi. ABSTRACT. The metacoupling framework provides grounds for characterizing interactions within and between coupled human and natural systems, yet few studies quantify the nuances of these systems. Network analysis is a powerful and flexible tool that has been used to quantify social, economic, and ecological systems. Our objective was to evaluate the utility of network analysis for quantifying metacoupled systems by assessing global soybean trade among 217 countries from 1986 to 2013. We identified and quantified sending and receiving systems, subnetworks and flow pathways, changes over time and across scales, feedbacks, and associations between trade and tropical deforestation. Although a total of 165 distinct cliques were identified within the network, a few key players were disproportionately influential in the 2872 partnerships, including Brazil (37.5%), China (48.6%), and the USA (72.3%). Total network density increased five-fold over the study period with an increasingly smaller set of countries heavily engaged in trade, posing sustainability and food security concerns. We found evidence of a positive feedback where countries with established trade partnerships were more likely to expand trade relationships over the study period. Trade patterns were not explained by regional or continental geography, highlighting limitations of neighborhood analyses commonly used in ecology. We also found evidence of a link between soybean trade and tropical deforestation; in pantropical countries participating in soybean trade, cumulative soybean exports for the period 2000-2012 were strongly associated with remotely sensed estimates of forest loss by country (Rsq = 0.35 , p < 0.0001). We demonstrated that network analyses can be used to quantitatively assess relationships between metacoupled social-ecological systems. Increased data access and platforms for integrating diverse data sources using multidisciplinary tools will be key to pushing the boundaries of quantitative metacoupled systems research.Erratum: The figure captions in the original publication of this paper were incorrect and were replaced with the proper captions on 7 February 2019.Ecology and Society 23(4): 3 https://www.ecologyandsociety.org/vol23/iss4/art3/

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Section: Key Sending and Receiving Systems And Flow Pathwaysmentioning

confidence: 99%

Network analysis as a tool for quantifying the dynamics of metacoupled systems: an example using global soybean trade

Schaffer‐Smith¹,

Tomscha²,

Jarvis³

et al. 2018

E&S

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show abstract

“…Some landscape events, such as the opening up of a route in the Arctic, can be expected to stimulate further trade (Smith and Stephenson, 2013;Lindstad et al, 2016), as can deliberate attempts to increase commodity flows (Clott et al, 2015). Such comments apply to short-sea shipping equally (Morales-Fusco et al, 2012;.…”

Section: Discussionmentioning

confidence: 99%

Revisiting history: Can shipping achieve a second socio-technical transition for carbon emissions reduction?

Pettit

Wells

Haider

et al. 2018

Transportation Research Part D: Transport and Environment

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This paper draws on socio-technical transitions theory to contextualise recent developments in the technological and operational eco-efficiency of ships, which may ameliorate but not resolve sustainability challenges in shipping. Taking an historical perspective, the paper argues that shipping is fundamentally a derived demand arising out of, but also enabling, the spatial separation of production and consumption that are integrated through global value chains. It is argued that the twin processes of innovation-enabled specialisation (into e.g. container ships; bulk carriers etc.) and increased scale both of ships and of shipping operations have embedded shipping into logistics systems of increasing complexity and reach. The objective of the paper is to demonstrate, using secondary data, the long-run trends in the growth of shipping carbon emissions for bulkers and tankers, as well as the impact of increased scale and vessel speed on such emissions. A fuel-based, top-down, methodology, based on fuel consumption estimates derived from secondary source industry data that are suitable for a macro-level analysis, is used to estimate global shipping carbon emissions. It is argued that technologies or operational innovations that reduce the environmental burdens of shipping, while useful, do not represent the socio-technical system 'regime' shift that international maritime logistics requires in order to contribute to improved sustainability. Rather, in the relative absence of strong governance mechanisms in the maritime field, it is underlying 'landscape' shifts in production and consumption that are likely to act to reduce the demand for shipping and hence to be more significant in the longer run.

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“…For example, food products which have not been containerized initially, through the development of refrigerated containers became containerizable in later years. Similarly to this, according to the number of projects and research papers in the last decades, the trend of containerized shipping for bulk agricultural product (especially soybean) is moving upward (Liu et al, 2017;Clott et al, 2015), mainly within the context of solving the problem of empty container returning back. Hence, the process of containerization of this group of commodities is based on opportunities which have been created by empty container repositioning which assumes an available number of empty containers that can be loaded for backhauls.…”

Section: Level Of Containerizationmentioning

confidence: 96%

Logistics Characteristics of Goods and Containerization Level

2019

IJTTE

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The phenomenon of containerization is a well-researched theme. However, these researches are mainly in the context of new technical and technological issues and challenges, necessary for the realization of such a transport technology, as well as the dynamics of containerization and contemporary business models. The investigation of cargo being carried by containers appears to be underrepresented, which can be a result of thinking that container represents the transport unit (box) that replaces a large number of smaller packages so it is primarily intended for general cargo. Containers could be used for the transport of a large number of different types of goods, and types of packages, whether the level of containerization of particular goods depends on several factors. This paper aims at analyzing these factors in containerized level. It also looks at developing a special diagram showing the compatibility between the particular freight and container types. This paper will demonstrate how this diagram could be used in a simple way in finding which types of container are suitable for specific types of commodity.

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Container repositioning and agricultural commodities: Shipping soybeans by container from US hinterland to overseas markets

Cited by 20 publications

References 10 publications

Network analysis as a tool for quantifying the dynamics of metacoupled systems: an example using global soybean trade

Network analysis as a tool for quantifying the dynamics of metacoupled systems: an example using global soybean trade

Revisiting history: Can shipping achieve a second socio-technical transition for carbon emissions reduction?

Logistics Characteristics of Goods and Containerization Level

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