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

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

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

Notice bibliographique

Revueپژوهش های اقتصاد و توسعه کشاورزی · 2016
Typearticle
Languefa
DomaineAgricultural and Biological Sciences
ThématiqueLivestock and Poultry Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésUnobservableLivestockVariance (accounting)EconometricsEconomicsProduction (economics)GeographyAgricultural economicsStatisticsMathematicsMacroeconomicsForestry

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,575
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0170,014

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,189
Écart entre enseignants0,172 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2016
Routes d'admission1
Résumé présentoui

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