| _version_ | 1866901103376859136 |
|---|---|
| author | Prof. Manoj S. Kamat |
| author_facet | Prof. Manoj S. Kamat |
| contents | <p>Reassessing India's State Energy and Climate Index: Addressing Bias for Aligned Net-Zero Pathways</p> <p>This study provides the first sensitivity audit and rank volatility analysis of India's State Energy and Climate Index (SECI Round 1, 2022). We identify a significant methodological distortion: the 40% weight assigned to power distribution companies (DISCOMs), which prioritises legacy fiscal health over decarbonisation outcomes. Using stepwise grid simulations for 28 states, we find high rank fragility (\tau< 0.80) when DISCOM weights drop below 20%, revealing that current rankings mask true transition leaders like Maharashtra, while rewarding coal-heavy grids like Punjab. Cross-sectional OLS estimation identifies literacy as the dominant enabler of performance (β= 0.612, p< 0.01). Conversely, forest cover emerges as a structural barrier; mediation analysis reveals that 95% of its negative impact is indirect, operating through suppressed literacy in remote terrains. These findings expose a 'green paradox' where ecologically rich states are penalised for maintaining carbon sinks. We conclude that the SECI is fundamentally non-aligned with India's Net-Zero 2070 goals. An urgent recalibration to a 20% DISCOM threshold is recommended to incentivise genuine climate action in the ensuing SECI-Round 2.</p> <p>Keywords: Index bias, SECI, India, energy transition, sustainability metrics, human capital, non-fossil renewable energy, Net Zero policy.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18076344 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | mskamat-droid/SECI-DISCOM-Bias: SECI-DISCOM Bias Prof. Manoj S. Kamat <p>Reassessing India's State Energy and Climate Index: Addressing Bias for Aligned Net-Zero Pathways</p> <p>This study provides the first sensitivity audit and rank volatility analysis of India's State Energy and Climate Index (SECI Round 1, 2022). We identify a significant methodological distortion: the 40% weight assigned to power distribution companies (DISCOMs), which prioritises legacy fiscal health over decarbonisation outcomes. Using stepwise grid simulations for 28 states, we find high rank fragility (\tau< 0.80) when DISCOM weights drop below 20%, revealing that current rankings mask true transition leaders like Maharashtra, while rewarding coal-heavy grids like Punjab. Cross-sectional OLS estimation identifies literacy as the dominant enabler of performance (β= 0.612, p< 0.01). Conversely, forest cover emerges as a structural barrier; mediation analysis reveals that 95% of its negative impact is indirect, operating through suppressed literacy in remote terrains. These findings expose a 'green paradox' where ecologically rich states are penalised for maintaining carbon sinks. We conclude that the SECI is fundamentally non-aligned with India's Net-Zero 2070 goals. An urgent recalibration to a 20% DISCOM threshold is recommended to incentivise genuine climate action in the ensuing SECI-Round 2.</p> <p>Keywords: Index bias, SECI, India, energy transition, sustainability metrics, human capital, non-fossil renewable energy, Net Zero policy.</p> |
| title | mskamat-droid/SECI-DISCOM-Bias: SECI-DISCOM Bias |
| url | https://doi.org/10.5281/zenodo.18076344 |