MétaCan
Menu
Back to cohort
Record W7000021125

An Economic- and Environmental Assessment of Ground Beef in Response to the Introduction of Plant-Based Meat Alternatives in the United States

2021· other· en· W7000021125 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2021
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityBeef cattleEnvironmental impact assessmentFeedlotProduction (economics)Consumption (sociology)LivestockAgriculture
DOInot available

Abstract

fetched live from OpenAlex

Cattle production and meat consumption have long been criticized for their environmental impacts and contribution to climate change. In the United States, this has led to increased research into way to mitigate environmental impacts from cattle production as well as alternative foods to replace beef and its associated impacts. The goal of the present dissertation was to review current literature related to the environmental impacts of cattle and meat alternatives and to present research related to mitigating emissions from cattle production as well as research into the comparative impacts of both beef and plant based meat alternatives. Chapter one presents a review of current literature on the sustainability of beef in meat alternatives. This literature review covers three primary areas of environmental impacts that are most prevalent in the literature on environmental impacts of cattle: climate change, land use, and water use. Further discussed are the nuances that accompany evaluation of these impacts from cattle production. Environmental impacts of plant based meat alternatives (MA) are then discussed with a particular focus on Beyond Burger (BB) and Impossible Burger (IB), the two most prevalent MA in the US due to their similar taste and textural profiles compared to ground beef (GB). Chapter two investigates a novel feed additive aimed at promoting environmental stewardship while maintaining or improving the efficiency of cattle production. Selective β modulator (lubabegron; LUB), recently approved by the United States Food and Drug Administration (FDA) to be fed to feedlot cattle during the last 14 to 91 d of the feeding period, was evaluated clinical efficacy for reductions in gaseous emissions/kg of final BW or HCW when different doses of LUB were fed to feedlot cattle over a 91-d duration. A 4 × 2 factorial arrangement design was utilized with the factors of dose (0.0, 1.25, 5.0 or 20.0 g/ton DM basis) and sex (steers or heifers). Three cycles were conducted (112 animals/cycle) with each dose × sex combination being represented by a single cattle pen enclosure (CPE; 14 animals/CPE) resulting in a total of 168 steers and 168 heifers (BW = 453 ± 34.5 kg). Five gases were evaluated based on CPE concentrations relative to ambient air: NH3, CH4, N2O, H2S, and CO2. Lubabegron was shown to reduce emissions of NH3 while simultaneously increasing the pounds of beef produced, demonstrating that feed additives are a promising tool towards reducing environmental impacts of cattle production.Chapters three and four aimed to gain a more complete picture of the sustainability of GB compared to BB or IB through two means: (1) first in chapter three, national and international economic impacts of decreasing GB consumption in the US in response to the introduction of BB and IB were investigated; and (2) in chapter four, the widespread US environmental impacts associated with a decrease in GB consumption and corresponding increase in BB and IB consumption in the US were evaluated. Contrary to previous work comparing these products, the present research utilized a methodology which accounts for the complicated national and international supply chains associated with the production of these products beyond their direct inputs. In chapter three, the Global Trade Analysis Project (GTAP) Model was used to assess the effects of reducing GB consumption in the US on both US and global economies. A 15% reduction in US GB, resulted in rather significant impacts on the US economy. Most notably, national and international consumption behaviors changed which resulted in changes to the structure of world trade. In the US, the reduction in GB consumption resulted in loss of labor (up to 9.9% of labor for the US GB sector and 4.1% for the US cattle sector) as well as substantial reductions in land used for cattle production. Similarly, reductions in labor and land use were observed for the top four countries that the US imports of lean trimmings of GB from (Australia, Canada, Mexico, and New Zealand). In chapter four, GTAP and the multi-regional input-output database, EXIOBASE, were utilized to perform a macro-life cycle assessment (M-LCA) of GB, BB, and IB. Compared to conventional LCA, this method makes it possible to account for the detailed production systems associated with GB, BB, and IB. When replacing 15% of GB consumption with either BB or IB, environmental impacts were variable. When considering impacts to the GB sector alone, replacement with BB resulted in overall reductions to climate change impacts (i.e., greenhouse gas emissions), land use, water use, and energy use. Meanwhile, replacement with IB resulted in reductions of climate change and land use impacts from the GB sector but had the potential to increase overall water and energy use. When considering the effects of changes in the GB sector on a national scale: Climate change impacts (i.e., greenhouse gas emissions) declined minimally (0.08%), with the new GB sector contributing to 0.66% of national emissions. Land use declined by up to 1.6%, nationally. Meanwhile, water use, and energy use had mixed effects at the national level for both BB and IB, each having the potential to increase national resource use, though by relatively small amounts When considering the sustainability of these GB compared to BB or IBs, it remains difficult to draw clear conclusions on which product might be superior, but it is clear that BB and IB will not produce the profound positive impacts suggested by their respective companies.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.242
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueeScholarship (California Digital Library)French-language works237,207