Används ekonomiska planeringshjälpmedel i lantbruksföretag
Notice bibliographique
Résumé
In agricultural educations you learn to use different economic planning tools, as basis for decision. The purpose and goal of this work has been to find out if economic planning tools are used by the farmers in Sweden. We choose to do an investigation through personal interviews, and used an inquiry to get as equivalent answers as possible from the farmers. This work contains a literature study with relevant facts about the questions that is brought up in the inquiry. This study of literature explains shortly some different calculation methods and bases for decision. It also contains useable information that is important to know before an investment. The questions that are asked to the farmers have focused on the use of calculation methods and economical planning tools. We wanted to get an overview of what farm firms use as basis for decisions. Therefor the study only contains a few and overall questions. In the investigation, eleven companies with varied econom ic turnover and orientations have As far as possible personal interviews has been done, we choose that method to get as truthful answers as possible. It has also been possible to explain the uestions more thoroughly, to avoid misunderstandings. Almost every company had more than one production orientation, but common for all companies where that they had some kind of crop cultivation. The main part of the companies had an economic turnover between three and ten million Swedish kronor. In the investigation, most of the companies used some kind of calculation method before an investment. This calculation was mainly performed by the farmers themselves, only a few companies hired external help. Only a few companies used liquidity calculations, and when it was used it was in connection with larger investments. One interesting result was that the main part of the companies did some kind of sensitivity analysis before an investment. One of the company manager pointed that this was one of the most important aspects in decision making before an investment. Cost accounting for production follow up was used by the main part of the companies, either in the whole company or in special production branches. All the farmers answered every question in the inquiry except for the last two questions that was not necessary because of the answers in the earlier questions. The uses of economic planning tools are widely extent in farm firms, and that shows that it is important for decision making in the firms.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,019 | 0,015 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».