Combining Climate and Energy Policies: Synergies or Antagonism? Modeling Interactions With Energy Efficiency Instruments

In addition to the already present Climate and Energy package, the European Union (EU) plans to include a binding target to reduce energy consumption. We analyze the rationales the EU invokes to justify such an overlapping and develop a minimal common framework to study interactions arising from the combination of instruments reducing emissions, promoting renewable energy (RE) production and reducing energy demand through energy efficiency (EE) investments. We find that although all instruments tend to reduce emissions and a price on carbon tends to give the right incentives for RE and EE too, the combination of more than one instrument leads to significant antagonisms regarding major objectives of the policy package. The model allows to show in a single framework and to quantify the antagonistic effects of the joint promotion of RE and EE. We also show and quantify the effects of this joint promotion on ETS permit price, on wholesale market price and on energy production levels.Renewable Energy, Energy Efficiency, Energy Policy, Climate Policy, Policy Interaction

International Idealism Meets Domestic-Criminal-Procedure Realism

Though international criminal justice has flourished over the last two decades, scholars have neglected institutional design and procedure questions. International-criminal-procedure scholarship has developed in isolation from its domestic counterpart but could learn much realism from it. Given its current focus on atrocities like genocide, international criminal law\u27s main purpose should be not only to inflict retribution but also to restore wounded communities by bringing the truth to light. The international justice system needs more ideological balance, stable career paths, and civil-service expertise. It should also draw on the American experience of federalism to cultivate cooperation with national authorities and select fewer cases for international prosecution. Revised plea bargaining and sentencing rules could learn from American experience and pitfalls, husbanding scarce resources and minimizing haggling, yet still buying needed cooperation. Finally, in blending adversarial and inquisitorial systems, international criminal justice has jettisoned too many safeguards of either one. It should reform discovery, speedy-trial rules, witness preparation, cross-examination, and victims\u27 rights in light of domestic experience. Just as international criminal law can benefit from domestic realism, domestic law could incorporate more international idealism and accountability, creating healthy political pressures to discipline and publicize enforcement decisions

Associations between Feeling and Judging the Emotions of Happiness and Fear: Findings from a Large-Scale Field Experiment

Background: How do we recognize emotions from other people? One possibility is that our own emotional experiences guide us in the online recognition of emotion in others. A distinct but related possibility is that emotion experience helps us to learn how to recognize emotions in childhood. Methodology/Principal Findings: We explored these ideas in a large sample of people (N = 4,608) ranging from 5 to over 50 years old. Participants were asked to rate the intensity of emotional experience in their own lives, as well as to perform a task of facial emotion recognition. Those who reported more intense experience of fear and happiness were significantly more accurate (closer to prototypical) in recognizing facial expressions of fear and happiness, respectively, and intense experience of fear was associated also with more accurate recognition of surprised and happy facial expressions. The associations held across all age groups. Conclusions: These results suggest that the intensity of one's own emotional experience of fear and happiness correlates with the ability to recognize these emotions in others, and demonstrate such an association as early as age 5

A dynamic model of extreme risk coverage : resilience and efficiency in the global reinsurance market

This paper presents a dynamic model of the reinsurance market for catastrophe risks. The model is based on the classical capacity-constraint assumption. Reinsurers choose every year the quantity of risk they cover and the level of external capital they raise to cover these risks. The model exhibits time dependency and reproduces a market dynamics that shares many features with the real market. In particular, market price increases and reinsurance coverage decreases after large shocks, and a series of smaller losses may have a deeper impact than one larger loss. There is a significant oligopoly effect reducing reinsurance supply, and the market is segregated into strategic large actors that influence market prices and price-taker smaller firms. A regulation trade-off between market efficiency and resilience is identified and quantified: improving the ability of the market to cope with exceptional events increases the cost of reinsurance. This model provides an interesting basis to analyze further capacity needs for the insurance industry in view of growing worldwide exposure to catastrophic risks and climate change.Markets and Market Access,Insurance&Risk Mitigation,Climate Change Economics,Debt Markets,Emerging Markets

A New Look at an Old Problem: A Universal Learning Approach to Linear Regression

Linear regression is a classical paradigm in statistics. A new look at it is provided via the lens of universal learning. In applying universal learning to linear regression the hypotheses class represents the label $y\in {\cal R}$ as a linear combination of the feature vector $x^T\theta$ where $x\in {\cal R}^M$, within a Gaussian error. The Predictive Normalized Maximum Likelihood (pNML) solution for universal learning of individual data can be expressed analytically in this case, as well as its associated learnability measure. Interestingly, the situation where the number of parameters $M$ may even be larger than the number of training samples $N$ can be examined. As expected, in this case learnability cannot be attained in every situation; nevertheless, if the test vector resides mostly in a subspace spanned by the eigenvectors associated with the large eigenvalues of the empirical correlation matrix of the training data, linear regression can generalize despite the fact that it uses an ``over-parametrized'' model. We demonstrate the results with a simulation of fitting a polynomial to data with a possibly large polynomial degree

International Idealism Meets Domestic-Criminal-Procedure Realism

Though international criminal justice has flourished over the last two decades, scholars have neglected institutional design and procedure questions. International-criminal-procedure scholarship has developed in isolation from its domestic counterpart but could learn much realism from it. Given its current focus on atrocities like genocide, international criminal law\u27s main purpose should be not only to inflict retribution but also to restore wounded communities by bringing the truth to light. The international justice system needs more ideological balance, stable career paths, and civil-service expertise. It should also draw on the American experience of federalism to cultivate cooperation with national authorities and select fewer cases for international prosecution. Revised plea bargaining and sentencing rules could learn from American experience and pitfalls, husbanding scarce resources and minimizing haggling, yet still buying needed cooperation. Finally, in blending adversarial and inquisitorial systems, international criminal justice has jettisoned too many safeguards of either one. It should reform discovery, speedy-trial rules, witness preparation, cross-examination, and victims\u27 rights in light of domestic experience. Just as international criminal law can benefit from domestic realism, domestic law could incorporate more international idealism and accountability, creating healthy political pressures to discipline and publicize enforcement decisions

Potential and limitations of bioenergy options for low carbon transitions

Sustaining low CO2 emission pathways to 2100 may rely on electricity production from biomass. We analyze the effect of the availability of biomass resources and technologies with and without carbon capture and storage within a general equilibrium framework. Biomass technologies are introduced into the electricity module of the hybrid general equilibrium model Imaclim-R. We assess the robustness of this technology, with and without carbon capture and storage, as a way of reaching the RCP 3.7 stabilization target. The impact of a uniform CO2 tax on energy prices, investments and the structure of the electricity mix is examined. World GDP growth is affected by the absence of the CCS or biomass options, and biomass is shown to be a possible technological answer to the absence of CCS. As the use of biomass on a large scale might prove unsustainable, we illustrate early action as a strategy to reduce the need for biomass and enhance economic growth in the long term.La poursuite des trajectoires de faible émission de CO2 à l'horizon 2100 peut dépendre de la production d'électricité à partir de la biomasse. Nous analysons l'effet de la disponibilité des ressources et des technologies de la biomasse avec et sans capture et stockage de carbone dans un cadre d'équilibre général. Les technologies de la biomasse sont introduites dans le module électricité du modèle d'équilibre général Imaclim-R. Nous évaluons la robustesse de cette technologie avec et sans capture et stockage de carbone, comme moyen d'atteindre l'objectif de stabilisation RCP 3.7. L'impact d'une taxe carbone uniforme sur les prix de l'énergie, les investissements et la structure du mix électricité est examiné. La croissance du PIB mondial est affectée par l'absence des options du CSC ou de la biomasse, et la biomasse apparait comme une réponse technologique à l'absence du CSC. Dans la mesure où l'utilisation de la biomasse à grande échelle peut s'avérer comme non soutenable, nous illustrons l'action précoce comme une stratégie de réduction des besoins de biomasse et d'amélioration de la croissance économique à long terme

Designing Plea Bargaining from the Ground Up: Accuracy and Fairness Without Trials as Backstops

American criminal procedure developed on the assumption that grand juries and petit jury trials were the ultimate safeguards of fair procedures and accurate outcomes.But nowthat plea bargaining has all but supplanted juries, we need to think through what safeguards our plea-bargaining systemshould be built around. This Symposium Article sketches out principles for redesigning our plea-bargaining system from the ground up around safeguards. Part I explores the causes of factual, moral, and legal inaccuracies in guilty pleas. To prevent and remedy these inaccuracies, it proposes a combination of quasi-inquisitorial safeguards, more vigorous criminal defense, and better normative evaluation of charges, pleas, and sentences. Part II then diagnoses unfair repercussions caused by defendants lack of information and understanding, laymens lack of voice, and the publics lack of information and participation. To prevent and fix these sources of unfairness, it proposes ways to better inform pleas and to make plea procedures more procedurally just