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Abstract: International agreements have led to an increase of national climate policies. The selection and analysis of policy instruments are mainly oriented at their technical effectiveness and financial feasibility while social sustainability plays a minor role. As a consequence, the impact of climate policies on individuals’ life situation is largely unknown even though the design of these policies suggests effects on national and international patterns of income inequality. Focusing on the residential sector, this paper investigates how national climate policy strategies affect the relationship between income and utility costs of households within nation states. It is argued that the effect of climate policy on income inequality depends on the specific design of these policies. Market-based solutions of energy efficient housing insulation, for example, focus more on effectiveness and less on social justice. In contrast, financial benefits from regulatory climate policies like eco-taxes on fuel can be configured as an instrument for income-redistribution. This paper sets a link between environmental politics and social justice research in a multi-level approach focusing on inequalities in housing utility costs among socio-economic groups. The analysis is based on EU SILC data which is combined with climate policy instruments in the field of housing. [Copyright &y& Elsevier]

• Relative and absolute home retrofit targets are reviewed and discussed. • Retrofit depth is determined by policy targets or practical cost-effectiveness. • Research studies find feasible energy savings of around 60% maximum. • Neighbourhood is optimal spatial scale to large-scale deliver home energy retrofit. • Future retrofits to be phased instead of one-off, and less primacy of fabric first. Home energy retrofit has been a publicly-funded policy in many countries since the 1990s. Government motivations have spanned from combating energy poverty to climate action and sustainability. Given the ambition of public policy, this paper reviews the targets, spatial scales and metrics used to deliver and evaluate home energy retrofit. Large-scale retrofit projects do differ: by spatial area, by retrofit depth and in evaluation metrics (if used). This review surveys first, the quantities of homes and inhabitants in intermediate spatial scales used to plan retrofit programmes. Second, the optimal spatial scale and retrofit depth to deliver large-scale home retrofit. Third, the quantitative metrics to evaluate retrofits, and future trends in occupant-based metrics. Neighbourhood is found to be the optimal spatial scale for home energy retrofit. Deep retrofit is described as 60% energy savings that, in synergy with energy supply decarbonisation, promises to deliver 80% or higher emission reductions. Recent evidence shows a shifting primacy from fabric-first retrofit to decarbonisation of heat generation and occupant health and well-being. [ABSTRACT FROM AUTHOR]