CHANCE · Climate cHange mitigAtioN poliCies and Equality: distributional implications for different socio-economic groups

Climate cHange mitigAtioN poliCies and Equality: distributional implications for different socio-economic groups

The overarching goal of CHANCE is to contribute to bridging the gap between economic and social goals, through enhancing our understanding of how to foster socially fair and economically efficient climate mitigation policies. CHANCE reduces this gap through relevant multi-regional studies in settings where climate and energy policies are at the core of the current political debate. Through these analyses, identifying the factors which induce regressive policies, CHANCE could guide improvements in the design of policies. CHANCE met the following sub-objectives: (i) to analyse the distributional implications of climate change mitigation policies from a multi-country perspective. I have developed multiregional distributional impacts between the USA and Spain. Also the modelling work I have done is focus to achieve this objective, from the modelling work on MIT models such as MIT Emissions Prediction and Policy Analysis (EPPA) or U.S. Regional Energy Policy (USREP), to the CGE models I have developed for Europe and Spain. (ii) to identify, through analysis of household typologies, which groups are vulnerable to these policies, that is, most prone to bearing the costs of climate protection. In different research, I have analysed the impacts on different climate protection measures on different household’s typologies. (iii) to develop databases and methods to link multi-sectoral and multi-regional CGE and MS models. I have been working on the MIT USREP model and on the MIT EPPA Model (version 7) to introduce household microdata in both models. Also I have developed and worked on a Spanish CGE-MS model and a European CGE model (CHANCE model) with micro households data. (iv) to conduct multi-country distributional analysis in the USA-Mexico context. Due to the pandemic, I hadn´t the opportunity to develop the Mexican analysis, but I have developed different analysis for the USA and Spain. (v) to extend the tools and approaches developed for the USA-Mexico case study to the 28 EU Member States. I have worked on different models such as CGE model and microdata for the EU and Spain following the developments of the outgoing phase. Therefore, I have been able to develop different CGE multi-household models for the EU and Spain, as well to work with different microdata sources, where I extend and apply the methods learn and developed during the outgoing phase at MIT.

Data: CORDIS, © European Union