Changes in industry selling prices of fourteen Canadian processed foods industries : effects of shifts in U.S.-Canadian exchange rates (1971-1984)
Bibliographic record
Abstract
This thesis studies fourteen Canadian processed food industries and their pricing behaviour. Pricing models for each industry for the period of 1971-1977 and 1978-1984 have been established. This study also tests wether changes in a pricing behaviour occurred in the middle of 1970s in which shifts in Canada-U.S. exchange rate occured. Food prices change for several reasons. The main reasons for changes in processed food prices are expected to be changes in input costs and demand factors. Input costs consist of material, labour, capital and fuel cost. Changes in demand side - import competition and excess demand - are are important factors. This study attepmts to establish, identify, and analyze pricing models by employing such variables for fourteen Canadian processed food industries at the wholesale level. Karikari (1988) has shown that the Canadian manufacturing industries changed their pricing behaviour as the U.S.-Canada exchange rate shifted in the middle of the 1970s. This study also tests if the changes (shift) in pricing behaviour of the food processing industries took place between two sub-periods: pre-depreciation of U.S.-Canada exchange rate (1971 to 1977), and post-depreciation of U.S.-Canada exchange rate (1977 to 1984). After analyzing the characteristics of the Canadian food processing industries and the distribution channel, three economic theories - which are considered to be appropropriate in reflecting the characteristics and the pricing behsviour - have been discussed. The Mark-up Pricing Theory is employed to explain the food processors' oligopolistic pricing behaviour. From the Mark-up Pricing Theory, relative changes in mark-up, material price, labour price, energy price, capital price, and productivity of each input are derived as independent variables in the pricing model while change in industrial selling price of processed foods is shown as a dependent variable. Excess demand and import competition are the main sources for the fluctuations in the mark-up factor. The Bilateral Monopoly Theory is applied to explain bargaining processes, from which prices of processed foods are determined, between processors and retailers. A shipment variable has been derived from the Bilateral Monopoly Theory as one of the substitutes for the mark-up variable. An International Trade Theory is discussed for the industries that face import competition. From this theory, it is concluded that import price would also influence Canadian food processors' markup. Also discussed is a theory on how the pricing behaviour would change in a situation in which shifts in exchange rates occur. Quarterly data in rate of changes form are used for the estimation of the pricing model. Lags are allowed for independent variables to proferly reflect the characteristics of food processors. First, assuming changes in pricing behaviour, the pricing model is regressed for each industry in each sub-period, respectively. Variables for each industry in each sub-period are selected. It seems that the finalized regression results indicate a possibility of changes in pricing behaviour. A statistical test incorporating dummy variables is used to check if the changes in pricing behaviour which occurred in the middle of 1977 are statistically significant. The results can be summarized as follows. Different variables and different lags fit for each industry in each sub-period. The material prices-in different lag forms - are the main factors that influence changes in the industry selling price. In some industries in a certain period, the material prices are not important at all; only the U.S. prices are shown as important factors. The wage - current or lagged - is an important variable in some industries (at least in one period). The shipment variables are important in most industries with a positive or a negative sign, indicating the food processors' monopolistic pricing behaviour is influenced or interupted by the foods retailers' behaviour. The U.S. price variable(s) is a significant factor in most industries. The statistical test indicates that most of the industries have experienced structural changes and/or model changes between the two periods, except poultry, sugar cane & beet, vegetable oil, brewery, and winery industries. This study, however, does not necessarily conclude that the Canadian processed foods industries' pricing behaviour was changed according to the Karikari's hypothesis.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".