Policy learning and innovation theory: an interactive and co-evolving process

被引:148
|
作者
Mytelka, LK [1 ]
Smith, K [1 ]
机构
[1] UN Univ, INTECH, NL-6211 Maastricht, Netherlands
关键词
public policy; policy-makers; learning; innovation policy; innovation theory;
D O I
10.1016/S0048-7333(02)00076-8
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
This paper explores links between the development of innovation theory since the late 1970s, and the evolution of innovation policy ideas, primarily in the 1990s. The argument is that there is a close connection between theory and policy, so that theory and policy learning can be seen as an integrated, co-evolving and interactive process. We analyse the theory-policy learning link in terms of two phases. We suggest that the complex economic crisis of the 1970s created an opening for rival analyses of events. During the 1980s, the development of evolutionary theories (pioneered by Nelson and Winter) and of empirically-based theories of the innovation process (pioneered by Nathan Rosenberg) created a framework in which policy agencies could consider heterodox ideas concerning objectives and instruments of public policy. By the early 1990s policy-makers, particularly in Europe, came to see RTD and innovation policies not just as important arenas of action in themselves, but as instruments towards more wide ranging policy objectives. The policy agencies involved, though hierarchical, were characterised by relatively open structures that permitted a degree of intellectual diversity: so organisations like the OECD and the European Commission played a central role, whereas the World Bank, for example, did not. Increasing policy interest stimulated a second phase of research in the 1990s, sponsored both nationally and by various EU programmes, in which expanding the innovation-oriented knowledge base became a significant objective for policy-makers. The paper argues that the theory-policy link has been central to the intellectual development of this field, which would have been impossible within the constraints of existing disciplinary structures and university funding systems. At the same time the analytical achievements have permitted a wide expansion in the conceptualization of policy targets and in the design of instruments available to policy-makers. In a sense, this is itself an evolutionary story: of a crisis and a conjunctural niche that permitted the creation and (so far) survival of a set of diverse and certainly non-conventional ideas. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:1467 / 1479
页数:13
相关论文
共 50 条
  • [1] Interactive Exploration of Co-evolving Software Entities
    Vanya, Adam
    Premraj, Rahul
    van Vliet, Hans
    [J]. 14TH EUROPEAN CONFERENCE ON SOFTWARE MAINTENANCE AND REENGINEERING (CSMR 2010), 2010, : 260 - 263
  • [2] Prominence in Networks: A Co-evolving Process
    Yang, Yang
    Chawla, Nitesh V.
    Lu, Xiaohui
    Adali, Sibel
    [J]. PROCEEDINGS OF THE 2013 IEEE 2ND INTERNATIONAL NETWORK SCIENCE WORKSHOP (NSW), 2013, : 58 - 65
  • [3] Policy Informatics for Co-Evolving Socio-Technical Networks
    Marathe, Madhav V.
    Barrett, Christopher L.
    Eubank, Stephen
    [J]. CRIS: 4TH INTERNATIONAL CONFERENCE ON CRITICAL INFRASTRUCTURE, 2009, : 25 - 25
  • [4] Co-Evolving Code with Evolving Metamodels
    Khelladi, Djamel Eddine
    Combemale, Benoit
    Acher, Mathieu
    Barais, Olivier
    Jezequel, Jean-Marc
    [J]. 2020 ACM/IEEE 42ND INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE 2020), 2020, : 1496 - 1508
  • [5] The evolution of knowledge-intensive innovation ecosystems: co-evolving entrepreneurial activity and innovation policy in the West Swedish maritime system
    Gifford, Ethan
    McKelvey, Maureen
    Saemundsson, Rognvaldur
    [J]. INDUSTRY AND INNOVATION, 2021, 28 (05) : 651 - 676
  • [6] Using information theory to search for co-evolving residues in proteins
    Martin, LC
    Gloor, GB
    Dunn, SD
    Wahl, LM
    [J]. BIOINFORMATICS, 2005, 21 (22) : 4116 - 4124
  • [7] APPARENCY IN CO-EVOLVING RELATIONSHIPS
    COURTNEY, SP
    [J]. OIKOS, 1985, 44 (01) : 91 - 98
  • [8] Co-evolving robocode tanks
    [J]. Genet. Evol. Comput. Conf., GECCO, (1443-1450):
  • [9] Co-evolving model parameters for anytime learning in evolutionary robotics
    Parker, GB
    [J]. ROBOTICS AND AUTONOMOUS SYSTEMS, 2000, 33 (01) : 13 - 30
  • [10] CO-EVOLVING: JUDAISM AND BIOLOGY
    Artson, Bradley Shavit
    [J]. ZYGON, 2011, 46 (02): : 429 - 445