Community Research and Development Information Service - CORDIS


Evaluation of networking and innovation diffusion as mechanisms for sustainable production

Project ID: EVG1-CT-1999-00003
Funded under: FP5-EESD


The overall objectives of the project were as follows:
-To examine the application of preventive approaches as a means of furthering sustainable development in the context of innovation diffusion theory and networks.
- To map weaknesses, strengths and similarities/dissimilarities of different concepts relating to Cleaner Production (CP), Cleaner Technology (CT) and innovation diffusion in the context of the socio-cultural and economic background.
- To deduce optimal strategies and tools and to develop a systemic model for regional sustainable development networks, with the aim of dissemination of CP/CT [...]. The search for an optimum instrument mix, capable of empowering administrations in spreading out new ideas, is one of the key elements for initiating and fostering improvement activities in terms of the ecological impact in economic sectors. The transition process requires a broad networking activity [...].
- To test the model and hypothesis against existing networks and against emerging or newer networks. Connecting the projects activities to emerging activities is preferable, since building of completely new networks is a time-consuming activity, thus risking late testing or testing at a too early stage.
- To test the operational strategies and methodologies for the facilitation of newer and existing networks and the social learning processes within those networks. This can lead to options improving the network building process and ground rules.
- To develop a set of (cluster of) variables to analyse the path of innovation diffusion and network building for CP, including (but not limited to) variables that explain (a) the conditions and perceptions (b) the processes involved (c) the interventions taken and (d) the changes, effects and learning experiences taking place. These variables, being system independent and comparable across cases, will be important building blocks for decision tools for policy makers and scientific community.

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