Environmental Economics and Sustainability

Team research focuses on the quantitative relations of climate and economy, understanding the climate risk implications on agriculture, ecosystems and health, and the economic value of hydromet services. Methodological approaches include the econometric estimation of empirical relationships, CGE modeling, public participation methods and risk management tools.
Our research work includes numerous projects funded by EU Commission, through H2020, FP7, FP6, Marie Curie EU program, COST European Office, CYTED Program, AECID cooperation agency or the Spanish Office for climate change among others, leading a research team valuing the cost-benefits of environment addressed interventions and climate change related actions.
We have contributed to a range of UN divisions in the field of climate and environmental risks and economic impacts of related programs. Some organizations, where she contributes as a consultant, are WMO (World Meteorological Organization), WB (World Bank), UNFCCC (United Nations Convention Framework for Climate Change), UNECE (United Nations Economic Commission for Europe), FAO (Food and Agriculture Organization of the United Nations).
The group has published in a variety of international journals with high impact factor, such as Climatic Change, Science of the Total Environment, Ecological Economics, Regional Environmental Change, Agricultural Systems, World Develop, among others.

The proposed research topic is about Economics of Climate. More concretely, it refers to the economic analysis of hydrometeorological services. Climate change is a challenge in societies around the planet and its expected risks and impacts are very significant and often serious. However, improving hydrometeorological services can be an adaptation measure that more and more projects are trying to promote and modernize. In this sense, this proposal focuses on the assessment of the potential economic benefits that can be derived from the development of said climate services. Examples of this approach would be the assessment of potential benefits of the improvement in early warning systems, the positive impact on agricultural productivity of the improvements in seasonal predictions, the possibilities of public-private collaboration in the climate sector, etc. Methodological approaches will include quantitative economic analysis tools, both econometric data analysis and modeling and simulation through economic theory.

A phd on Economics, Environmental Science, Mathematics, Information Science and Engineering or similar will be required
Skills on econometric modelling tools (STATA, R, etc) and spatial analysis tools (GIS) will be an advantage
Include CV with record of publications