In the view of pressing unemployment and environmental problems, different policies have been proposed to create jobs in the transition to a green economy, including the so-called “green jobs”. There has been an intense debate on the quantification of these employment effects, especially in the European Union. Most studies have focused on estimating gross future employment effects and have ignored the effects between different sectors and countries. This paper looks, for the first time, at the past net employment impacts from the transformation of the EU energy sector including spill-over effects, by using a multi-regional input–output model and the World Input–Output Database. The analysis is focused on the period (1995–2009) when the EU’s energy structure went through a significant shift, away from the more carbon intensive sources, towards gas and renewables. We estimate the net employment generated from this structural change at 530,000 jobs in the EU (0.24% of total employment in 2009), of which one third is due to trans-boundary effects within the EU (i.e. employment generated in one country due to the changes in another). Within the EU, the main gainers were Poland, Germany, Hungary, Italy and Spain, and the main losers were Ireland, Lithuania, France and Czech Republic

Uncertainties concerning fossil fuel resource availability have traditionally been deemphasized in climate change research as global baseline emission scenarios (i.e., scenarios that do not consider additional climate policies) have been built on the assumption of abundant fossil fuel resources for the 21st century. However, current estimates are subject to critical uncertainties and an emerging body of literature is providing revised estimates. Here we consider the entire range of revised estimates, applying an integrated assessment model to perform a likelihood analysis of climate change pathways. Our results show that, by the end of the century, the two highest emission pathways from the IPCC, the Representative Concentration Pathways RCP6 and RCP8.5, where the baseline scenarios currently lie, have probabilities of being surpassed of 42% and 12%, respectively. In terms of temperature change, the probability of exceeding the 2 °C level by 2100 remains very high (88%), confirming the need for urgent climate action. Coal resource uncertainty determines the uncertainty about the emission and radiative forcing pathways due to the poor quality of data. We also find that the depletion of fossil fuels is likely to occur during the second half of the century accelerating the transition to renewable energy sources in baseline scenarios. Accordingly, more investments may be required to enable the energy transition, while the additional mitigation measures would in turn necessitate a lower effort than currently estimated. Hence, the integrated analysis of resource availability and climate change is essential to obtain internally consistent climate pathways.

Enacting stringent climate policy has proven politically challenging, not least because of concentrated losses in fossil fuel-producing communities. “Just transition” strategies have been proposed to mitigate this distributional challenge. Yet, little is known about how such strategies affect voting behavior. Using a mixed-methods approach, we exploit a local climate policy in Spain—a “Just Transition Agreement” (JTA) to phase out coalmining, support affected workers, and invest in affected municipalities—which was negotiated by the incumbent Socialist Party (PSOE) government with affected unions and businesses shortly before a national election. A difference-in-differences study shows that PSOE’s vote share in coalmining municipalities increased at the 2019 election relative to similar municipalities, implying that the JTA was electorally successful. Further statistical tests and elite interviews suggest that this electoral boost was driven by unions’ support of the JTA. Our findings have implications for how parties can craft popular climate policy.

In pursuit of the drastic transformations necessary for effectively responding to climate change, the Paris Agreement stresses the need to design and implement sustainable, robust, and socially acceptable policy pathways in a globally coordinated and cooperative manner. For decades, the scientific community has been carrying out quantitative modelling exercises in support of climate policy design, primarily by means of energy systems and integrated assessment modelling frameworks. Here, we describe in detail the context of a hitherto ineffective scientific contribution to policymaking, highlight the available means to formulate a new paradigm that overcomes existing and emerging challenges, and ultimately call for change. In particular, we argue that individual modelling exercises alone widen the gap between formal representation and real-life context in which decisions are taken, and investigate major criticisms to which formalised modelling frameworks are subject. We essentially highlight the importance of employing diverse modelling ensembles, placing the human factor at the core of all modelling processes, and enhancing the robustness of model-driven policy prescriptions through decision support systems. These altogether compose a truly integrative approach to supporting the design of effective climate policy and sustainable transitions and, therefore, strengthen the modelling–policymaking interface.