Laboratory of Environmental and Urban Economics – LEURE
From its creation in 2000 until August 2014, our group was called “Research group on the Economics and Management of the Environment” (REME), “environment” refering to both the natural environment, built environment and the social and cultural environment. This was not always well understood, so we changed the name of the laboratory. “Environmental … Economics” in LEURE refers to our courses and research on sustainable development and environmental and climate policies. “Urban Economics” in LEURE (or LEUrE) refers to our courses and research on land, real estate and housing markets and on policies that apply to these markets.
- Modelling and assessing environmental policies, in particular for climate mitigation and adaptation
- Analysing the land, real estate and housing markets and their policies
- Developing and teaching property valuation methods
Some current projects
EU Calculator: Trade-offs and pathways towards sustainable and low carbon European societies
EUCalc is part of the topic “Managing technology transition” of Horizon 2020. It prepares a much needed comprehensive framework for the appraisal of synergies and trade-offs of feasible decarbonisation pathways on the national scale of Europe and its member countries + Switzerland. Our contribution focuses on the employment effects of the energy transition.
Shrinking Housing’s Environmental Footprint
This project is part of the NRP73 “Sustainable economy” program. Its main goal is to identify and promote practical measures that dwellers, property owners and public authorities can implement to reduce the use of primary resources and the environmental impacts of housing, that is, shrinking housing’s environmental footprint (SHEF). These measures cover the construction, use, and refurbishment phases of buildings. They must be effective while preserving the social and economic qualities of housing: liveability, affordability, full cost coverage or return on investment.
Optimizing the energy renovation of a large housing stock based on empirical data
To invest in the energy efficiency of buildings creates a financial risk due to the difference between theoretical and actual cash flows. This project develops a planning tool to control for the risk. First of all, we quantify the impact of improvements on energy consumption and rents. Next, we create a new module for the software InvestImmo modeling the real cash flow from the buildings and optimizing investments.