Overview
The ISEEM project aims at becoming an interdisciplinary network of researchers.
It covers subjects such as economic development and endogenous growth, land and resource use, commuting and transportation, location of economic activities and housing market as well as technological development and energy use, environmental economics, emissions and waste. All of the mentioned subjects are unified by an integrated modelling approach.
The ISEEM modelling approach provided the Belgian community with the sound scientific support for formulating sustainability policies, which are characterized by a balanced integration between social, economic, transportation and environmental policy objectives.
The approach assisted in the implementation of the EU strategy for sustainable development in Belgium, as well as efficient incorporation of the sustainability goals into the existing Belgian policy tools on regional and federal levels.
The main objective of the ISEEM project is to develop and implement an integrated spatio-economic-ecological modelling approach for Belgium.
This represents the state-of-the-art in different areas of economic, transport, land-use and environmental modelling, and can be used to assist policy makers in their choice of long-term sustainability policies.
The ISEEM approach integrates a range of important elements of general equilibrium and macro-sectoral econometric modelling approaches.
This integrated approach combines theoretic structure and micro-foundations of general equilibrium models with the use of econometric methods for the estimation of model coefficients.
The central modelling framework are further extended by introducing major elements of integrated transportation and land-use models, and environmental resource-use models.
Results
One of the core products of the ISEEM project is the overall model design of the spatio-economic-ecological system coupled with an efficient policy assessment method.
The model design includes detailed information on the inputs and outputs of the various components of the integrated model, and on the calculation methods and algorithms. It also includes information on the data necessary for the implementation of the model and a description of the model estimation method.