The choice of innovation policy instruments

Borrás, Susana; Edquist, Charles

doi:10.1016/j.techfore.2013.03.002

Cited by 581 publications

(214 citation statements)

References 13 publications

(16 reference statements)

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“…In general, present-day policy makers employ a policy mix with a handpicked selection of existing or ex novo created instruments tailored to the context in which they are applied (cf. Borras and Edquist, 2013). The policies and thereby instruments required depend strongly on the particularities of and the development patterns in the regional innovation system (Tödtling and Trippl, 2005;Camagni and Capello, 2013).…”

Section: Opportunities For Policy Makersmentioning

confidence: 99%

Agent-based Modeling for Decision Making in Economics under Uncertainty

Vermeulen

Pyka

2016

Economics

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Ever since the emergence of economics as a distinct scientific discipline, policy makers have turned to economic models to guide policy interventions. If policy makers seek to enhance growth of an open capitalist economy, they have to take into account, firstly, the uncertainties, inefficiencies, and market failures faced by the agents in the economy, and, secondly, the activities, network structure, and interactions in the innovation and production system. The authors discuss ins-and-outs of developing and using (encompassing and empirically calibrated) agent-based models for (i) abductive theorizing about causes for empirical realities, and (ii) evaluating effects of policy interventions. To ensure that derived policies are suitable to intervene in the real world and not just the stylization of it, they discuss validity and operationalization of agent-based models as well as interpretation of simulation results.

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Section: Opportunities For Policy Makersmentioning

confidence: 99%

Agent-based Modeling for Decision Making in Economics under Uncertainty

Vermeulen

Pyka

2016

Economics

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“…With regard to both aspects, many studies have encouraged the search for theoretical approaches investigating the recurrent paths taken by decision makers when formulating their policy design through a combination of bundles of selected instruments, chosen according to their preferences and to the contingent situation and conditions (Borràs and Edquist 2013;Voss and Simmons 2014;MacIntosh et al 2015;Ingold and Metz 2014).…”

Section: Introduction: What Types Of Choice When Selecting Instruments?mentioning

confidence: 99%

How policy instruments are chosen: patterns of decision makers’ choices

2016

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Policy instruments are a fundamental component of public policies. Policy instruments are often a result of mediation within the policy design process, whenever decision makers reshape existing instruments without introducing any real innovation. This results in imitation, layering and ambiguity in tool choice selection, and raises the theoretical problem of the logic according to which decision makers choose certain specific policy instruments rather than others. Decision makers may have different reasons for choosing certain specific instruments, although these reasons should be connected to the two main purposes of decision-making, that is, the search for effectiveness and the construction of a shared sense, a common acceptance. Thus, the choice of instruments is a question of potentially conflicting drivers that decision makers have to cope with within a specific decisional situation, when asked to solve those problems that have arisen. This paper examines this question and offers an analytical framework based on the two main factors in terms of which the selection of instruments is channelled and assessed: legitimacy and instrumentality. The boundaries created by how decision makers perceive these two dimensions mean that only four selection patterns can be chosen by decision makers: hybridization, stratification, contamination or routinization.

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“…• Applying the framework, mutatis mutandis, to the evaluation of education (Daraio, 2015) and innovation (Borrás & Edquist, 2013) activities;…”

Section: Conclusion and Further Researchmentioning

confidence: 99%

A Framework for the Assessment of Research and Its Impacts

Daraio

2017

Journal of Data and Information Science

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This paper proposes a holistic framework for the development of models for the assessment of research activities and their impacts. It distinguishes three dimensions, including in an original way, data as a main dimension, together with theory and methodology. Each dimension of the framework is further characterized by three main building blocks: education, research, and innovation (theory); efficiency, effectiveness, and impact (methodology); and availability, interoperability, and “unit-free” property (data). The different dimensions and their nine constituent building blocks are attributes of an overarching concept, denoted as “quality.” Three additional quality attributes are identified as implementation factors (tailorability, transparency, and openness) and three “enabling” conditions (convergence, mixed methods, and knowledge infrastructures) complete the framework. A framework is required to develop models of metrics. Models of metrics are necessary to assess the meaning, validity, and robustness of metrics. The proposed framework can be a useful reference for the development of the ethics of research evaluation. It can act as a common denominator for different analytical levels and relevant aspects and is able to embrace many different and heterogeneous streams of literature. Directions for future research are provided.

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The choice of innovation policy instruments

Cited by 581 publications

References 13 publications

Agent-based Modeling for Decision Making in Economics under Uncertainty

Agent-based Modeling for Decision Making in Economics under Uncertainty

How policy instruments are chosen: patterns of decision makers’ choices

A Framework for the Assessment of Research and Its Impacts

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