Analyzing distributional effects on vulnerable sections is important for enhancing climate mitigation ambition by supporting social objectives. Discounting the impacts on the most vulnerable, prior research underestimates the skew in investments required to meet sustainable development goals. Its focus on representative households and cost optimal mitigation pathway archetypes also amplifies false narratives around societal and developmental tradeoffs of mitigation policies.

This study demonstrates that bespoke pathway design can support simultaneous attainment of multiple national energy priorities. Using a consistent framework and accounting for interactions between different sectors, it evaluates a set of diverse mitigation pathways to similar climate outcomes. It examines short & long-term distributional impacts on national energy goals to identify pathways which offer synergies across multiple objectives and regions.Next, the impacts are downscaled to the household income deciles in India & the US using household survey data & future income distribution projections, to scrutinize the residential energy burden changes under different mitigation policies. The results show regressive impacts on access and affordability for most mitigation pathways, except those propelled by demand side mitigation strategies and non-CO2 emission reductions. Thereafter, it expands the conceptualization of energy poverty beyond unitary dimensions, binary classifications and income relationships. Applying an alternative framework to identify vulnerable households experiencing energy poverty in India, this study showcases the disparities across dimensions. It then envisions an intersectionality context and proffers empirical evidence of the increased likelihood of households at the overlap of multiple deprivations being entrapped in more severe forms of energy poverty and the concomitant effects on gender inequity.

A key finding of this study is that mitigation pathway choice and design matters for just energy transition goals and tailored pathways addressing underlying local and global inequities provide latitude for synergies and progressive impacts. It also establishes that technology solutions alone are unable to redress pre-existing inequities and should be complemented with other support policies for the vulnerable. This study contributes to the scholarship on the need for improved representation of heterogeneity in energy-climate models and offers policy relevance – showing the importance of underlying systemic changes to achieve social & climate goals together.