Natural Gas Prices and Coal Displacement: Evidence from Electricity Markets
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
We examine the environmental impact of the post-2005 natural gas glut in the United States due to the shale gas boom. Our focus is on quantifying short-term coal-to-gas switching decisions by different types of electric power plants in response to changes in the relative price of the two fuels. In particular, we study the following entities: investor-owned utilities (IOUs) and independent power producers (IPPs) in restructured markets coordinated by Independent System Operators, as well as IOUs in traditional vertically-integrated markets. Using alternative data aggregations and model specifications, we find that IOUs operating in traditional markets are more sensitive to changes in fuel prices than both IOUs and IPPs in restructured markets. We attribute our findings to differences in available gas-fired generating capacity with the most cost-efficient technology: electricity generators reduced their rate of investment in the restructured markets post restructuring. The heterogeneity in the response of fuel consumption to prices has implications for carbon dioxide (CO2) emissions for the entities considered. Using simple back-of-the-envelope calculations, the almost 70% drop in the price of natural gas between June 2008 and the end of 2012
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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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it