Commercial and Industrial Consumers’ Perspectives on Electricity Pricing Reform: Evidence from India
Bibliographic record
Abstract
This paper investigates the perspectives of commercial and industrial consumers on electricity pricing reform in Uttar Pradesh, India. In a first study of its kind, we report results from semi-structured, in-depth interviews that were conducted with a variety of firms, based on their electricity price dependence and employment. Results show that senior management officials already strongly oppose cross-subsidy policies in which they pay higher tariffs to reduce prices for households and farmers. Firms also have very few available coping mechanisms to deal with further electricity tariff rises. Senior management officials believe their firms will have to compromise on electricity usage if prices are increased again. Available models suggest that this will likely be a cause for lowering output and overall machine and labor productivity. While firms do expect price rises in the short term, they believe this will impact their productivity and have a low opinion of the state government. This might be aggravated by little knowledge about the price setting mechanism, their means of participation and the level of utility dependence on state subsidies.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".