2020
DOI: 10.1016/j.jcomm.2019.100095
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Soybean quality differentials, blending, testing and spatial arbitrage

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Cited by 9 publications
(8 citation statements)
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“…As a result, it is becoming more common for soybean buyers to apply discounts to broad purchase areas. As an example, it is common for Pacific Northwest (PNW) soybeans to be discounted up to 40 cents per bushel relative to the US Gulf on a China delivery basis (Wilson et al, 2020). Other buyers preclude specific origins (e.g., PNW) due to their perception of historically lower protein levels.…”
Section: Background and Previous Studiesmentioning
confidence: 99%
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“…As a result, it is becoming more common for soybean buyers to apply discounts to broad purchase areas. As an example, it is common for Pacific Northwest (PNW) soybeans to be discounted up to 40 cents per bushel relative to the US Gulf on a China delivery basis (Wilson et al, 2020). Other buyers preclude specific origins (e.g., PNW) due to their perception of historically lower protein levels.…”
Section: Background and Previous Studiesmentioning
confidence: 99%
“…More recent studies on the economics of soybean quality include Hertsgaard et al (2019) and Wilson et al (2020) which addressed issues related to alternative specifications for soybean to achieve end‐use quality. This was premised that most buyers specified protein or may not even do that.…”
Section: Background and Previous Studiesmentioning
confidence: 99%
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“…On a parallel track, many healthcare institutions have started to implement QMP to mitigate the COVID-19 disruption effects, improve responsiveness and increase capacity (William et al, 2020;Leite et al, 2020). In the aftermath of the pandemic, sustaining QMP is crucial for healthcare institutions willing to maintain adequate healthcare service given the fact that COVID-19 effects will continue to affect the sector in the years to come (Leite et al, 2020).…”
Section: The Performance Of Quality Managementmentioning
confidence: 99%
“…On a parallel track, many healthcare institutions have started to implement QMP to mitigate the COVID-19 disruption effects, improve responsiveness and increase capacity (William et al. , 2020; Leite et al.…”
Section: Theoretical Backgroundmentioning
confidence: 99%