Three essays on energy efficiency and environmental policies in Canada
Bibliographic record
Abstract
This thesis is organized into five Chapters. In Chapter 1, we provide an introduction. In Chapter 2, we present a study on residential energy efficiency retrofits in Canada. We describe the EnerGuide for Houses data and model household decisions to invest in energy-efficiency retrofits. Our results show that government financial incentives have important positive effects. The decision to invest in energy-efficiency retrofits is positively related to potential energy cost savings and negatively related to the costs of the retrofits. We find that household characteristics such as the age composition of household members are important factors. All else remaining constant, low income households are more likely to undertake energy-efficiency retrofits. In the third Chapter, we present our study on price-induced energy efficiency improvements in Canadian manufacturing. Our study employs a new approach to the estimation of price-induced energy efficiency improvements and the results have important empirical and policy implications. In the fourth chapter, we present our study on the implications of the “shale gas revolution” on Alberta greenhouse gas emission abatement strategy. Given that the strategy is centered on deployment of CCS technologies, we analyze the effects of the declines in natural gas price on CCS deployment in the electricity sector. We use the CIMS simulation model to simulate various policy scenarios under high and low natural gas price assumptions. Comparison of the results shows that CCS market penetration in the electricity sector is very minimal in the low natural gas price scenario even when a 50% cost subsidy is applied. Accordingly, there is little gain from subsidizing CCS given the “shale gas revolution.” We provide a few concluding remarks in Chapter 5.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".