Climate Finance for a Fast Transition to a Green Economy

ABSTRACT

We present a novel proposal to achieve a global reduction of carbon emissions in the coming decades by harnessing the power of financial markets, based on a four-pronged interdisciplinary approach. We can contrast past approaches to “financial stability”, where policymakers were accused of “saving the banks (and often the bankers) to save the economy” with our approach. We propose to “enlist the banks and companies to save the planet.” We argue that the tools of the existing framework (economic, social, legal) for financial stability, if properly designed are powerful enough to induce firms to lower significantly their carbon footprints. The starting point is the observation that financial systems are highly interconnected. Thus, a (sufficiently large) shock can affect the global economy.

CSI-UC3M Participants: Antonio CabralesDavid RamosAnxo Sánchez

External Participants: Xavier Lavandeira (Universidade de Vigo), María Loureiro (Universidade de Santiago de Compostela)

Climate Clubs as a Tool for International Action on Climate Change

ABSTRACT

The climate change challenge can be understood as a repeated public goods game among sovereign countries. A number of treaties, including the Kyoto Protocol (1997), Copenhagen Accord (2009), Doha amendment (2012), and the Paris agreement (2015) have been agreed upon, but they have not been effective because of the strong incentives for free-riding, i.e., for not contributing to climate change mitigation and let other countries make the effort. A solution to this problem has been proposed in the paper “Clubs as a mechanism to overcome free-riding” (Nordhaus, AER 2015). The basic idea is that participating countries undertake harmonized emissions reduction, and non-participating countries are penalized with tariffs on the imports into the club region. The hope is that countries will act strategically lowering emissions because of the structure of the incentives. The aim of our research is to carry out experiments with human participants to check whether this mechanism could actually work.

CSI-UC3M Participants: Alberto Antonioni, Antonio Cabrales, Anxo Sánchez

Social Norms as a Driver of Individual Behavior in the Face of Climate Change

ABSTRACT

Social norms are key to solving some of the most pressing contemporary societal challenges, from mitigating climate change to reducing the spread of infectious diseases. While laws, treaties and other formal mechanisms are necessary to address these global issues, they are not always sufficient to reach desirable social outcomes. However, despite their importance, evidence on the causal effect of social norms on behavior and on their role in promoting prosocial behavior is still limited.  Here we use a 30 day lab-in-the-field experiment in which we exogenously change the risk of a collective loss to test if the threat of a catastrophe changes social norm strength and, by varying the order in which subjects experience the different risks, we test whether social norms lead to behavioral changes. Our results provide evidence for the causal effect of social norms in promoting cooperative behavior in collective-risk social dilemmas and for their role in making behavior resilient to change.

CSI-UC3M Participants: : Alberto Antonioni, Francesca Lipari, Anxo Sánchez.

External Participants: Giulia Andrighetto, Mario Paolucci, Luca Tummolini (LABSS, ISTC-CNR, Roma, Italia), Aron Szekely (Collegio Carlo Alberto, Università degli Studi di Torino, Italia).

ABSTRACT

Aviation safety can be jeopardized by multiple hazards arising from natural phenomena, e.g., severe weather, Aerosols/gases from natural hazard, space weather, and, though not directly affecting the safety of aviation but the planet, the climatic impact of aviation. All in all, the overall objective of ALARM project is to develop a prototype global multi-hazard monitoring and Early Warning System for all these above exposed hazards. Continuous global Earth observations from satellite, ground-based systems, and atmospheric forecasts will be used to feed models capable of observing and predicting (nowcasting/forecasting) the displacement of particles in suspension and gas derived from natural hazards (volcanic ash and SO2, dust clouds from sandstorms, and smoke from forest fire); evere weather situations such as deep convection and extreme weather; exposure to increased levels of solar radiation during flight; and environmental hotspots potentially contributing to global warming in a large extent. Specifically, the aim is to enhance situational awareness of all stakeholders in case of multiple hazard crisis by facilitating the transfer of required relevant information to end-users, presenting such information in a user-friendly manner to ATM stakeholders. In summary, anticipating severe hazards and fostering better decision-making.

CSI-UC3M Participants: Manuel Soler

ABSTRACT

The main objective of the FlyATM4E project is to assess the climate impact of aviation, including its associated uncertainties, and develop methods for the optimization of aircraft trajectories in order to identify promising climate-impact mitigation options. Overall, seeking to reduce the climate impact of aircraft operations. FlyATM4E will develop a concept to identify climate-optimized aircraft trajectories which enable a robust (in the sense of behaving stable when facing uncertainties) reduction in aviation’s climate impact. Climate optimization will take into account CO2 and non-CO2 effects, such as contrails and contrail-cirrus, water vapour, NOx, and particulate emissions. FlyATM4E will characterize those atmospheric situations that lead to climate impact despite uncertainties in atmospheric behaviour, which can be captured by ensemble probabilistic forecasts. It will further identify those aircraft trajectories in which there is a large potential to reduce the climate impact with only a little or even no cost changes (“Cherry-Picking”) and those situations where both, climate impact and costs can be reduced (“Win-Win”). As a synthesis, FlyATM4E will deepen in the understanding of ATM possibilities to reduce aviation’s climate impact, but moreover how to implement such eco-efficient trajectories. To this end, the FlyATM4E consortium builds on its expertise covering the whole spectrum from atmospheric science and climate research to aviation operations research and aircraft trajectory optimization.

CSI-UC3M Participants: Manuel Soler

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