Innovation Policy in a Knowledge-Based Economy
DOI: 10.1007/3-540-26452-3_3
|View full text |Cite
|
Sign up to set email alerts
|

Systems Failure and the Case for Innovation Policy

Abstract: The topic of this chapter is the rationale for innovation policy in advanced market economies. Since innovation and its associates, invention and the diffusion of innovation, play such a central role in the performance of modem economies, indeed they constitute a defining element in the claim that they are knowledge-based, it is hardly surprising that this rationale should be an indispensable part of economic policy more generally. The Barcelona accord on research and development (R&D) spending^ suggests how i… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
61
0
2

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 72 publications
(63 citation statements)
references
References 32 publications
0
61
0
2
Order By: Relevance
“…taken from Generalised Darwinism, especially those of variety, selection, novelty and retention (see, for example, Witt, 2003;Metcalfe, 2005). By comparison, complexity theoretic ideas have received less attention, although the potential of this approach is increasingly recognised, with some authors linking complexity concepts explicitly with the analysis of economic evolution (e.g., Potts, 2000;Foster, 2005;Beinhoker, 2006;Rosser, 2009).…”
Section: The Aims and Conceptual Foundations Of Evolutionary Economicmentioning
confidence: 99%
“…taken from Generalised Darwinism, especially those of variety, selection, novelty and retention (see, for example, Witt, 2003;Metcalfe, 2005). By comparison, complexity theoretic ideas have received less attention, although the potential of this approach is increasingly recognised, with some authors linking complexity concepts explicitly with the analysis of economic evolution (e.g., Potts, 2000;Foster, 2005;Beinhoker, 2006;Rosser, 2009).…”
Section: The Aims and Conceptual Foundations Of Evolutionary Economicmentioning
confidence: 99%
“…Edquist, 2011;Malerba, 2009;Metcalfe, 2005;and Smith, 2000), of which at least three types can be tackled by FLAs, namely the lack of understanding of sectoral characteristics/ dynamics, poor (or lack of) vision building, and ineffective co-ordination. Hence, certain types of FLAs can contribute to design appropriate policies: more 'robust' policies can be devised when (i) multiple futures are considered, and (ii) stakeholders, given their diverse backgrounds, bring wide-ranging accumulated knowledge, experience, aspirations and ideas into policy dialogues.…”
Section: Evolutionary Theorising Flas and Implications For Sti Policymentioning
confidence: 99%
“…Under the neoclassical framework, knowledge is assumed to be easily assimilated without significant costs, but this can lead to a restricted and restrictive understanding of knowledge since it reduces knowledge to mere information while ignoring its tacit, cumulative, pathdependent and contextual aspects (Cohendet and MeyerKrahmer, 2005). 'Knowledge has a unique property' in that 'it always and only exists in the minds of individuals' (Metcalfe, 2005). Thus, all knowledge is tacit and its codification is only ever an imperfect public representation.…”
Section: Choosing An Approach: Neoclassical and Innovation Systemsmentioning
confidence: 99%
“…It follows that the neoclassical understanding of knowledge is flawed since knowledge cannot be entirely freely or perfectly transmitted, it cannot be either entirely non-rival or entirely non-excludable. Thus, the notion of market failure, which rests upon an understanding of knowledge as instantaneously and completely shared, is limited (Metcalfe, 2005). In contrast, the innovation systems framework views knowledge as tacit and imperfectly transferred, thereby highlighting the role of learning as vital to innovation.…”
Section: Choosing An Approach: Neoclassical and Innovation Systemsmentioning
confidence: 99%
See 1 more Smart Citation