Joint product management strategies for E. coli O157 and feedlot profits

Perry, William; Marsh, Thomas L.; Jones, Rodney D.; Sanderson, M. W.; Sargeant, Jan M.; Griffin, Dicky D.; Smith, Robert A.

doi:10.1016/j.foodpol.2006.11.003

Cited by 5 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Escherichia coli is prevalent throughout the beef supply chain (Perry et al, 2007), that is, high Prob(presence). However, the harm can be mitigated by appropriate food preparation techniques, that is, low Prob(harm|mitigation).…”

Section: Further Discussion: Theoretically Specifying Market Reacmentioning

confidence: 99%

Reconstructing market reactions to consumption harms

McCullough¹,

Marsh²,

Huffaker³

2013

Applied Economics Letters

View full text Add to dashboard Cite

We investigate dynamic market reactions from harmful events using phase space reconstruction to analyse nonlinear dynamical systems. Phase space reconstruction analysis is applied to US beef consumption data, demonstrating market deviations and transitions from plausible, stable consumption patterns in response to product attributes (latent or nonlatent) coinciding with longer or shorter term human health harms (e.g. cholesterol) or food safety harms (e.g. Escherichia coli and Bovine Spongiform Encephalopathy (BSE)). The results support complex, nonlinear dynamic behavioural responses to perceived consumption harms. Consistent with previous research, the perceived negative long-run health effect from cholesterol caused consumers to transition their consumption behaviour from a higher to a lower level while retaining a persistent seasonal pattern. In contrast, responses to food safety information (i.e. E. coli or BSE) about beef derived from phase space reconstruction demonstrated temporary deviations from stable consumption patterns.

show abstract

Section: Further Discussion: Theoretically Specifying Market Reacmentioning

confidence: 99%

Reconstructing market reactions to consumption harms

McCullough¹,

Marsh²,

Huffaker³

2013

Applied Economics Letters

View full text Add to dashboard Cite

show abstract

“…Numerous studies have used statistical analysis techniques applied to population data samples to examine the interactions between various animal health issues and economically important outcomes. For example, Irsik et al (2006) quantified the impact of common ani-mal health issues on the performance of feedlot cattle, and Perry et al (2007) examined management strategies that jointly impact the occurrence of Escherichia coli O157:H7 and feedlot profits. Pendell et al (2007), as well as others, have explored the impact of a broadbased disease outbreak such as foot and mouth disease on the livestock industry as well as on the broader economy.…”

Section: Examples Of Previous Studiesmentioning

confidence: 99%

A review of population data utilization in beef cattle research1

Jones

Langemeier

2010

Journal of Animal Science

View full text Add to dashboard Cite

Controlled experimentation has been the most common source of research data in most biological sciences. However, many research questions lend themselves to the use of population data, or combinations of population data and data resulting from controlled experimentation. Studies of important economic outcomes, such as efficiency, profits, and costs, lend themselves particularly well to this type of analysis. Analytical methods that have been most commonly applied to population data in studies related to livestock production and management include statistical regression and mathematical programming. In social sciences, such as applied economics, it has become common to utilize more than one method in the same study to provide answers to the various questions at hand. Of course, care must be taken to ensure that the methods of analysis are appropriately applied; however, a wide variety of beef industry research questions are being addressed using population data. Issues related to data sources, aggregation levels, and consistency of collection often surface when using population data. These issues are addressed by careful consideration of the questions being addressed and the costs of data collection. Previous research across a variety of cattle production and marketing issues provides a broad foundation upon which to build future research. There is tremendous opportunity for increased use of population data and increased collaboration across disciplines to address issues of importance to the cattle industry.

show abstract

“…Nonetheless, as the role of government supervision became increasingly recognized as that of solving information asymmetry in food safety, scholars started to pay attention to how to improve the effectiveness of supervision. Research directions from the perspective of economics include consumer behavior [8], externality of food safety issues [9], property rights definition [10], and behavioral games in food safety supervision [11]. In the meantime, targeted legal systems [12,13], standardization and detection systems [14], and tracing and early warning systems [15,16] have been accounted as critical methods for improvement of the effectiveness of supervision.…”

Section: Introductionmentioning

confidence: 99%

Study on Evolution of Food Safety Status and Supervision Policy—A System Based on Quantity, Quality, and Development Safety

Jian-hui

Lin

2019

Sustainability

View full text Add to dashboard Cite

This paper aims to construct an index system of evaluating food safety status, composed of three sub-systems—quantity safety, quality safety, and development safety. The index system is designed to collect annual data from 2005 to 2017 and run a chronological evaluation on China’s food safety status based on an entropy method. The evaluation results indicate that though China’s food safety supervision effect has been stably sound, the highest score is 0.7392 (in 2017). In addition, the proportions of the above three sub-systems were changed towards a balanced trend, with quality safety rising from less than 7% to 36.19% as a significant part of the evaluation of the effect of food safety supervision. In terms of single indexes, agrochemical input intensity and the ontology of agro-production safety have made relatively great contributions, while the indexes that embody price safety lack stability, and the roles of indexes related to development safety in the effect of food safety supervision have been increasingly recognized and valued.

show abstract

Joint product management strategies for E. coli O157 and feedlot profits

Cited by 5 publications

References 30 publications

Reconstructing market reactions to consumption harms

Reconstructing market reactions to consumption harms

A review of population data utilization in beef cattle research1

Study on Evolution of Food Safety Status and Supervision Policy—A System Based on Quantity, Quality, and Development Safety

Contact Info

Product

Resources

About