To reach their net‐zero targets, countries will have to compensate hard‐to‐abate CO₂ emissions through carbon dioxide removal (CDR). Yet, current assessments rarely include socio‐cultural or institutional aspects or fail to contextualize CDR options for implementation. Here we present a context‐specific feasibility assessment of CDR options for the example of Germany. We assess 14 CDR options, including three chemical carbon capture options, six options for bioenergy combined with carbon capture and storage (BECCS), and five options that aim to increase ecosystem carbon uptake. The assessment addresses technological, economic, environmental, institutional, social‐cultural and systemic considerations using a traffic‐light system to evaluate implementation opportunities and hurdles. We find that in Germany CDR options like cover crops or seagrass restoration currently face comparably low implementation hurdles in terms of technological, economic, or environmental feasibility and low institutional or social opposition but show comparably small CO₂ removal potentials. In contrast, some BECCS options that show high CDR potentials face significant techno‐economic, societal and institutional hurdles when it comes to the geological storage of CO₂. While a combination of CDR options is likely required to meet the net‐zero target in Germany, the current climate protection law includes a limited set of options. Our analysis aims to provide comprehensive information on CDR hurdles and possibilities for Germany for use in further research on CDR options, climate, and energy scenario development, as well as an effective decision support basis for various actors.

Several European countries plan to phase out coal-fired power plants in order to reach their greenhouse gas abatement targets. Additionally, the phase-out will bring about so-called ancillary effects or co-effects. In our study, we focus on the co-effects induced in the countries that export coal to Europe. Furthermore, we examine the ancillary effects imposed on China as a major supplier of technologies (like solar energy technologies) that will replace coal-fired power plants. Using a combination of an input-output model, econometric analysis and employing the concept of the United Nations’ Sustainable Development Goals, we assess impacts of coal phase-out policies on environmental, economic, and societal dimensions. Our results show that despite negative impacts on income and employment in coal-exporting countries, a phase-out of coal-fired power plants is linked with multiple positive effects. In particular, we observe improvements in water management and biodiversity conservation, reduced release of pollutants, and improvements on a societal level. However, even if we consider a reduction in the use of coal in the European steel production sector as an additional challenge, these positive impacts on coal exporting countries remain rather small. The same applies to the effects we observe for China.

We apply a functional data approach for mixture model-based multivariate innovation clustering to identify different regional innovation portfolios in Europe, considering patterns of specialization among innovation types. We combine patent registration data and other innovation and economic data across 225 regions, 13 years, and eight patent classes. The approach allows us to form several regional clusters according to their specific innovation types and captures spatio-temporal dynamics too subtle for most other clustering methods. Consistent with the literature on innovation systems, our analysis supports the value of regionalized clusters that can benefit from flexible policy support to strengthen regions as well as innovation in a systematic context, adding technology specificity as a new criterion to consider. The regional innovation cluster solutions for IPC classes for ‘fixed constructions’ and ‘mechanical engineering’ are highly comparable but relatively less comparable for ‘chemistry and metallurgy’. The clusters for innovations in ‘physics’ and ‘chemistry and metallurgy’ are similar; innovations in ‘electricity’ and ‘physics’ show similar temporal dynamics. For all other innovation types, the regional clustering is different. By taking regional profiles, strengths, and developments into account, options for improved efficiency of location-based regional innovation policy to promote tailored and efficient innovation-promoting programs can be derived.