Environmental economics studies the interplay between the economy and its natural environment, seeks to identify problems with the usage and evaluation of natural resources and to propose solutions aiming at sustainable growth and development. Mitigating and adapting to climate change, developing and adopting renewable sources of energy and ensuring that the industrialization and growth of developing countries does not exacerbate environmental and health risks are some of the greatest challenges of our society. Researchers at Labex MME-DII contribute to these issues from several different angles, by developing statistical tools which can help understand and predict climate changes and the associated environmental risks, by developing models of growth which integrate environmental quality and natural resources and by analyzing the impact and acceptance of environmental policies and regulations.
Topics in Environmental Economics, Energy and Natural Resources:
Researchers with interest in Environmental Economics, Energy and Natural Resources:
Stefano Bosi (EPEE)
Application of the dynamic general equilibrium theory to financial and environmental issues with special focus on existence and stability (bifurcation) issues. Stefano Bosi’s latest work is on the impact of pollution on labor supply and growth.
Mohamed Amin Boutabba (EPEE)
Energy and natural resource economics
Beatrice Dumont, (CEPN)
Beatrice Dumont’s topics of interests are related to: the interaction between competition policy and innovation, merger remedies, the efficiency of merger control; issues related to patent quality, patent litigation, efficiency of the innovation process. Econometric tools are used, as well as Bayesian modeling & real option models. She has worked on the EU environmental policies and regulations.
Charles El-Nouty (LAGA)
My main research interest lies in the study of the trajectory properties of Gaussian processes (increments, upper and lower classes…). My last published article is on the sub-bifractional Brownian motion. Gaussian processes have a huge impact on improving the quality of dynamic models, which are widely used in energetic, ecological, biological, economical or environmental systems. This is why theoretical results of my work can be used in these fields in order to develop numerical methods to solve real life problems.
Johanna Ettner (ECONOMIX)
My research contributes to the analysis of the effects of uncertainty on individual or public decisions and their macroeconomic consequences. Three axes have been developed: (i) behavior in the presence of environmental risks, (ii) prevention behaviors face to health risks and (iii) the development of theoretical tools. My future research focuses on a possible change in time of the attitude in an uncertainty environment, more precisely, the study of the influence of past experience on ambiguity aversion. To do this, we can refer to the article by Cohen, Etner, Jeleva (2008), in which is proposed an axiomatization of a model of preferences representation in which risk perceptions can change over time. For example, in the article by Etner, Jeleva (2013), we study the individual decisions of health prevention when risk perceptions evolve over time according to particular diagnoses. The low level of prevention for certain diseases or environmental hazards can be explained by an underestimation of the effects of prevention.
Giorgio Fabbri (EPEE)
I am working in growth theory, more precisely I am active in the fields of: geography and growth, demography and growth, environment and growth. I try to develop models that are able to take into account a series of heterogeneities, either at the level of the capital structure and of the population composition that can be important for the dynamics of economic systems.
Jose-Gregorio Gomez (AGM)
Je travaille sur des questions liées à la théorie des valeurs extrêmes des processus et des champs aléatoires. Spécifiquement sur les théorèmes limites des fonctionnelles de cluster d’extrêmes pour processus faiblement dépendants, inspirée par les résultats sur fonctionnes de queue de distribution par H. Drees et H. Rootzén, par les généralisations de fonctionnelles de cluster d’extrêmes de Johan Segers, et bien sûr, par les résultats sur le mélange et la dépendance faible de Paul Doukhan.
Afin de répondre à questions sur le réchauffement climatique et la consommation d’énergie, j’applique ces théorèmes limites aux problèmes de valeurs extrêmes de températures, vent et pluie en collaboration avec Pr. Didier Dacunha-Castelle et le département de Recherche et Développement de EDF – Chatou.
Thai Ha-Huy (EPEE)
My research is based in two domains: general equilibrium and optimal growth. In general equilibrium, I study the relation between no-arbitrage conditions and existence of equilibrium. In optimal growth, I study questions about equity and growth, capital taxation, and ambiguity with applications to environmental economics.
Cecile Hardouin (MODALX)
We study the modelling for binary data using two spatial scales, capturing local or long range spatial dependence. These models can be used in environmental statistics to study precipitation quantities, the spread of epidemics and temperature changes.
Meglena Jeleva (ECONOMIX)
My research is focused on the impact of uncertainties (probabilistic or not), and their perception, on individual and public short term and long term risk management decisions. Three topics can be identified in my recent theoretical and experimental research and in my projects: (i) optimal environmental policies design under scientific and technological uncertainties, (ii) insurance decisions concerning standard and extreme risks (iii) intertemporal preferences representation allowing ambiguity attitudes to change over time, and in relation with the decision maker’s past experience.
Donald Keenan works on theoretical economics and more specifically on general equilibrium. In his recent work on poverty disease and ecology of complex systems he studies the interplay between economic growth and infectious diseases (pathogens present in the environment) and show how it can give rise to poverty traps.
Andrea Roncoroni (CERESSEC)
I am mostly interested in the use of financial tools and quantitative models for managing financial and physical risk exposure of corporates. In this respect, I put forward the Threshold Model for price simulation in spiky electricity markets, and devised FloRisk Metrics, an effective analytics
to monitor and manage corporate financial exposure.
Estefania Santacreu-Vasut (CERESSEC)
Estefania’s research focuses on three axes: (1) the study of the interaction between language, culture and economics and implications for business, multinational companies and the labor market, (2) the institutional determinants of multinationals organizations and technology transfers from a contemporaneous and historical perspective and (3) the attitudes of individuals toward environmental taxes and energy related issues.
Charles Tillier (MODAL’X)
Food safety is now receiving increasing attentions, both in the public health community and in the scientific literature. In the beginning, static approaches were developed, in which the exposure to a contaminant is calculated based on consumption data and contamination (or analytical) data. Recent works focus on static approaches for modeling the quantity of a specific food contaminant ingested over a short period of time. One difficulty for studying food contamination is the dimensionality of the problem since a given contaminant may occur in a very large number of products. Besides, heavy tail phenomena and temporal dependence are at the core of food and climatic risks analysis. Intuitively, heavy tail phenomena are those where the extremes values are important compared with other values (hurricane, large food contaminant doses, like methylmercury, ochratoxin…). The traditional risk analysis under the assumption that the observations (consumption, contaminants or environmental risk factors) are independent, leads to a systematic underestimation of risks. Mathematical models taking into account the interplay between temporal and spatial dependencies (consumptions dynamic, pharmakocinetic elimination phenomenon, correlations between contaminants and different factors) will allow to better characterize populations at risk. Quantifying the link between the dependence and the heavy tails is a major issue for applications and prudential decisions.
Mélanie Zetlaoui (MODAL’X)
My work consists in studying a latent variable model, called the Nonnegative Matrix Factorization from a statistical point of view. This model can be applied to the assessment of food choices in the field of food risk analysis. Another work is focused on the validity of subsampling and the bootstrap method in the context of large datasets.