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dc.contributor.authorPaasi, Marianneen
dc.date.accessioned2012-09-21T11:28:13Z-
dc.date.available2012-09-21T11:28:13Z-
dc.date.issued2002-
dc.identifier.urihttp://hdl.handle.net/10419/63887-
dc.description.abstractCentral concerns of research and innovation policies under uncertainty and systemic complexity are market and systemic failures, i.e. both market corrections as well as co-ordination and coherence are essential elements of policy making. Therefore, policy making cannot be based on the notions of equilibrium and optimisation but on adaptive policy making with central focus on search for and identification of policy alternatives and with creation of new policy understanding about functions, underlying mechanisms and conditions of successful policies. For this purpose, collective benchmarking of research and innovation policies provides routines for exploiting various types learning sources”. While benchmarking is a flexible instrument it nevertheless needs a rigorous benchmarking methodology that guides search for best practises and respects the systemic and country specific foundation. Collective benchmarking utilises different types of policy potentials which increase the effectiveness of research and innovation policies and, therefore, the performances of particular countries and the group as a whole.en
dc.language.isoengen
dc.publisher|aThe Research Institute of the Finnish Economy (ETLA) |cHelsinkien
dc.relation.ispartofseries|aETLA Discussion Papers |x836en
dc.subject.jelO3en
dc.subject.jelO38en
dc.subject.ddc330en
dc.subject.stwBenchmarkingen
dc.subject.stwInnovationen
dc.subject.stwForschungs- und Technologiepolitiken
dc.subject.stwTheorieen
dc.titleEconomics of collective benchmarking: Learning in research and innovation policy-
dc.typeWorking Paperen
dc.identifier.ppn358167701en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen
dc.identifier.repecRePEc:rif:dpaper:836en

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