Use and Adoption of Marketing Methods by Western Canadian Producers
Notice bibliographique
Résumé
The use of forward marketing techniques is viewed in this thesis as a technological adoption by the producer and has been an area of interest for research in the United States since the 1980s. Unfortunately this research has not occurred in Canada. Reasons for this lack of research may include that one institution was legislated the task of marketing the majority of Canadian export wheat. As of August 12th, 2012 Canadian policy has changed to allow all Canadian wheat to be marketed by producers. This thesis attempts to add some geographic diversity to the literature by asking Canadian producers for a history of their marketing choices. Comparisons are made between the two most prevalent crops of wheat and canola. This thesis also takes advantage of the major change in policy to attempt to identify similarities between producers who adopt specific marketing techniques. Producers were directly surveyed on their use of marketing techniques from the year 2010 through 2013. Data from a total of 295 responses are presented to give an overview of what technologies are being used to market wheat and canola by producers on the Canadian prairie. Producers were also asked questions about their personality and farm enterprise, and to identify if they had increased their use of a marketing technique after the policy change of 2012. The responses were analyzed through probit regression. This thesis finds that forward contracting is the most prevalent marketing technique used by Canadian producers for wheat and canola. Use of futures markets and options markets are a distant second and third respectively. Rates of use by Canadian producers are found to be similar to rates reported in US research. Regression analysis of producers who increased their use of similar marketing techniques suggests that they share similar personal attributes. Forward contract use is found to increase with previous experience in use. Futures market use is found to increase among those inclined to believe that they control the world around them. Options market use is found to increase among those most comfortable with risk. Several farm demographic variables are also found to be shared among producers, and these findings are found to support similar findings in previous research from the US.
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 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,004 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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 ».