Objective
To analyze the macro-economic consequences of the process of technology adoption and diffusion of three "environmentally friendly" new technologies.
OBJECTIVES:
To analyze the macro-economic consequences of the process of technology adoption and diffusion of three "environmentally
friendly" new technologies.
DESCRIPTION:
The research bridges the gap between aggregated
representations of technology used in Computable General
Equilibrium (CGE) type macro-economic forecasting models, and more detailed micro-models at the level of specific
technologies. Improved technology adoption/diffusion models
for potentially important new environmentally relevant
technologies are developed and integrated into a macroeconomic framework. The employment and resource consumption
implications, at the European level, of the three innovative technologies that are widely considered to be "environmentally friendly" are then analysed. These technologies are:
i) the use of non-polluting electric vehicles in urban areas(combined with computerized traffic controls, integration
with other modes of transport such as high-speed trains,
and congestion taxes);
ii) the integration of photo-voltaic (PV) and solar heatingtechnologies in buildings;
iii) the use of biofuels in automotive transportation.
A projection of (technological) performance and costs for each of these technologies is prepared, leading to the formulation of an adoption/diffusion model which describes the process of diffusion through an "experience curve". The innovation submodels are integrated in a CGE framework in an iterative
fashion.
Several alternative "policy mixes", including fiscal reforms are tested and their political acceptability assessed with
respect to those "external" considerations which are not
directly incorporated in the models. These include equity
issues as well as local and global environmental concerns.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- social sciences social geography transport electric vehicles
- social sciences sociology governance taxation
- social sciences economics and business business and management employment
- engineering and technology industrial biotechnology biomaterials biofuels
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Call for proposal
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Coordinator
77305 FONTAINEBLEAU
France
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.