Objective
The aim of the SPARD project is to develop a modelling tool that will help policy-makers to understand the causal relationships between rural development measures and their results in a spatial dimension. Based on spatial-econometric analysis it will include ex-post evaluation options and the extension to ex-ante assessment with the purpose of giving support to the planning of targeted RD policies, programmes and measures. The project will compile a well-structured database, to organise both indicators from the Common Monitoring and Evaluation Framework (CMEF), distinguishing input, output, result, impact and baseline indicators, and other data specifically used by the RD management authorities in the Member States (MS), and extrapolate missing indicator values. This requires a procedure to standardize the utilisation of results amongst users at different levels. The emphasis of the project will be the development of an analytical framework that considers characteristics and needs of target areas and target groups. The key task of the project is to develop a quantitative model, using spatial econometric modelling. This will allow the identification of causal relationships of RD policy implementation. In this manner the cost-effectiveness of RDPs can be analysed in their spatial dimension. Evaluations/ assessments of selected policies and measures and their impacts will be made at the EU-27 scale. Furthermore it shall be demonstrated that the methodology is feasible at different scales of application and levels of data aggregation. Validation of the modelling framework will be carried out in 5 case study regions. The end product of SPARD will be a multiple-option and variable-scale DSS tool capable for use in horizontal and vertical evaluations. As a collaborative project, SPARD will make efforts to broaden the proved expertise of the consortium by integration of stakeholders, external experts and end-users in the overall process.
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: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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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
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
FP7-KBBE-2009-3
See other projects for this call
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
15374 Muencheberg
Germany
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.