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Record W2593990840 · doi:10.22067/jead2.v30i4.48049

نوسان قیمت نهاده ها و عرضه دام سبک (کاربرد الگوی فضای حالت)

2016· article· fa· W2593990840 on OpenAlexaboutno aff
الهام صادقی, رضا مقدسی

Bibliographic record

Venueپژوهش های اقتصاد و توسعه کشاورزی · 2016
Typearticle
Languagefa
FieldAgricultural and Biological Sciences
TopicLivestock and Poultry Management
Canadian institutionsnot available
Fundersnot available
KeywordsUnobservableLivestockVariance (accounting)EconometricsEconomicsProduction (economics)GeographyAgricultural economicsStatisticsMathematicsMacroeconomicsForestry

Abstract

fetched live from OpenAlex

Introduction: Light livestock is one of the main resources of the red meat supply. In our country, annual growth rate of light livestock production is decreased by 6.4 percent in 1383 -93. In the other words, the required input price of light livestock producing have fluctuations that have much effect on producer decisions quality. Therefore, more attention to light livestock nurturing and factors that are effective on the rate of its supply is understood more than before. So, the article goals include effective factors considering on light livestock supply rate. About the studied subject, many studies have been proformed locally and globally, that include Adam (5) in South Africa, Fisher and Wall in Canada and Australia, Jezghani and Moghaddasi(7), Azizi(3) in Iran. Material and Methods: Research seasonal data includes years 1381-91 and for three provinces of East Azerbaijan, Isfahan & Qom. Price fluctuation is investigated by GARCH models. These models are concentrated on homogenous variance contradiction (stable variance) and instead heterogeneous variance should be encountered as a problem, it is tried the heterogeneous variance is used in modeling. So, a prediction is estimated for every error period variance. The supply function has estimated in an article, is using the method of the state space model which permit seasonal, trend & unobservable cycle elements change during time randomly. The state space model is returned to standard regression model in the unobservable elements absence. The used method for the article for seasonal elements is time fixed seasonal variations. Data analysis: The research indicates that there is inputs prices and light livestock price. Barley price with past season lag, alfalfa price in one and two past season and the light livestock price with past season lag become significant and all GARCH coefficients in every three mentioned variant is less than one percent and significant. According to the effect of independent variants on light livestock supply in province of East Azerbaijan, it is determined that light livestock expected price has positive and significant effect, inputs expected price has negative and significant effect on light livestock supply, variance coefficient of light livestock price has negative and significant effect on light livestock supply, barely input price variance has negative and significant effect on light livestock supply. By considering the effect of independent variants on light livestock supply in Isfahan province , it is determined that expected price of light livestock has positive and a significant effect on light livestock supply, expected price of input on supply rate has negative and significant effect, variance coefficient of light livestock price has negative and significant effect on light livestock supply rates. Barely price variance has a negative and significant effect on light livestock supply. By considering the effect of independent variants on the rate of light cattle supply in Qom province, it is determined that light livestock expected price has positive and significant effect on light livestock supply rates, input expected price has negative and a significant effect on supply rate, variance coefficient of light livestock price has negative and significant effect on light livestock supply rate, barely an input price variance has negative and significant effect on light livestock supply. Summer, autumn and winter seasonal fluctuations, in a province of east Azerbaijan has a negative and significant effect on light livestock supply. Summer and autumn seasonal fluctuations in Isfahan and Qom had negative and significant effect on light livestock supply while winter seasonal fluctuation had a positive and significant effect on light livestock supply. The trend has a positive and significant effect on light livestock supply rate in three provinces. In the other words, trend fluctuation has a positive effect on supply rate. In three provinces, light livestock supply rate has positive and significant cyclic fluctuations with random coefficient in every year. Results: In the provinces of East Azerbaijan, Isfahan, Qom, light livestock expected price has a positive and significant effect on its supply rate. While light livestock price variance has a negative and significant effect on its supply rate. Inputs expect price of and its variance has a negative and significant effect on its supply rate. Cyclic and trend fluctuations have a positive and significant effect on the flight cattle supply rate. Light livestock supply is less elastic than the ratio of inputs price and light livestock price change. The effect of light livestock price risk is greater than the inputs price risk.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.014

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 head0.017
GPT teacher head0.189
Teacher spread0.172 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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