EQUITABLE DECARBONIZATION PATHWAYS IN INDIA'S MODEL SOLAR CITY: A CASE STUDY OF NAGPUR'S ENERGY TRANSITION
Bibliographic record
Abstract
India’s Solar Cities Programme, led by the Ministry of New and Renewable Energy (MNRE), aims to foster urban decarbonization and energy equity through solar integration and smart city frameworks. Nagpur, as a Model Solar City, provides a unique lens to evaluate the interplay between policy, technology, and social inclusion in the context of urban energy transition. This paper synthesizes recent literature, focusing on policy frameworks, technological innovation, financial models, and governance mechanisms. It critically assesses how these factors shape both decarbonization outcomes and equitable access to solar energy in Nagpur. The analysis reveals that while Nagpur has made significant strides in solar adoption and emissions reduction, challenges remain in ensuring inclusive benefits, overcoming financial barriers, and streamlining governance. Recommendations include adaptive policy design, innovative financing, and community-centric approaches to accelerate India’s urban energy transition.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".