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Record W2548329064 · doi:10.5539/jas.v8n12p164

The Impact of the Use of Agricultural Accounting on the Financial Performance of Broiler Industry: A Comparative Evaluation Approach on Broiler Industry in Jordan

2016· article· en· W2548329064 on OpenAlex
Ali Al-Sharafat

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Agricultural Science · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsnot available
Fundersnot available
KeywordsAgricultureAgricultural scienceBroilerNet incomePopulationSample (material)AccountingNet present valueBusinessAgricultural economicsEconomicsGeographyProduction (economics)Animal scienceDemography

Abstract

fetched live from OpenAlex

The main objective of this study was to introduce a comparative analysis to demonstrate the impact of the use of agricultural accounting on the financial performance of broiler farms in Jordan. Broiler farmers in Jordan constituted the study’s population. A sample size of 65 broilers farms was randomly selected. Simple random sampling (SRS) procedure was followed. A structured questionnaire was used to obtain data from the interviewed farmers. Returns, costs (fixed and variable), net income and other related financial items were the main items covered in the survey. Data were collected during the period from March 15th 2014 to January 30th 2015. The financial performance of the investigated broiler farms was assessed using financial indicators related to benefit-cost analysis procedure. To achieve study objectives, the Net Present Value (NPV), the Internal Rate of Return (IRR) and the Benefits-Costs ratio (B/C) were used. The sample was divided into two categories, the first category consisted of 33 farmers who were adopting agricultural accounting procedures, and the second category consisted of 32 farmers who were not adopting any agricultural accounting procedures or they were adopting minimum level of these procedures. The results of this study revealed that broiler farms adopting agricultural accounting procedures were significantly higher in their financial performance. The values of the three financial indicators (NPV, IRR and B/C) for broiler these farms were positive, high and acceptable compared to farms without or with minimum level of agricultural accounting procedures. Agricultural accounting procedures keep farm efficient, so it is recommended to introduce proper strategies to improve broiler farmers agricultural accounting skills for Jordanian broiler producers. Also, a vital issue to be taken in consideration is to develop agricultural accounting procedures to be utilized by broiler farm managers or owners. Effective management of a farming operation today requires that farm accounting records be kept and updated so managers can make informed decisions affecting the profitability of their farms.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.720
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.091
GPT teacher head0.283
Teacher spread0.192 · 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