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The influence of bottlenecks on innovation systems performance

Put the slowest climber first

Bibliographic Data

ID21402902
AuthorsJosé L Zofío (0000-0003-1170-9501, Erasmus University Rotterdam), Juan Aparicio (0000-0002-0867-0004, Universitat de Miguel Hernández d'Elx), Javier Barbero (0000-0002-2155-3996, Universidad Autónoma de Madrid), Jon Mikel Zabala‐iturriagagoitia (0000-0003-1975-2555, Universidad de Deusto, corresponding author), Jon Mikel Zabala-Iturriagagoitia
Year2023
Volume193
Pages122607
Publication date2023-08-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueTechnological Forecasting and Social Change (JOURNAL)
Journal identifiersISSN: 0040-1625 • E-ISSN: 1873-5509
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.techfore.2023.122607
OpenAlexW4382393304
LanguageEN
Citations received4
References cited39

This paper contributes to the literature with a methodology that helps identify the functions that constrain the overall performance of an innovation system, hence providing clear guidelines to policymakers on the direction of their interventions. This methodology relies on the notion of penalty for bottleneck, which is defined as the weakest link or the binding constraint that holds back system performance. These penalty bottlenecks are applied to all the indicators that characterize innovation systems, and consider its input-output mix when assessing their performance through a Productivity Innovation Index. The data provided by the 2021 edition of the European Innovation Scoreboard are used to illustrate the utility of the method introduced in the paper. We first identify the input and output bottlenecks for every country. Second, we report the productivity loss due to the existence of these bottlenecks. Third, we evidence the responsiveness of the Productivity Innovation Index to bottleneck alleviation, from three different perspectives: (i) application of a 10 % alleviation to the input bottleneck; (ii) application of a 10 % alleviation to the output bottleneck; and (iii) application of a 5 % alleviation to both the input and output bottlenecks, respectively

Bottleneck · Constraint (computer-aided design) · Economics · Index (typography) · Industrial organization · Macroeconomics · Microeconomics · Operations research · Production (economics) · Productivity · Climate Change Policy and Economics · Computer Science · Innovation Policy and RD · Mathematics · Regional Development and Policy

  • Utility effectiveness, composite indicators and ‘benefit of the doubt’ models

    Open Access•José L Zofío, Juan Aparicio et al.•Socio-Economic Planning Sciences•2026

  • Dynamic efficiency of Australia's innovation systems

    Open Access•Hien Phan, Hien Thu Pham et al.•Technological Forecasting and…•2024

  • How do e-governance and e-business drive sustainable development goals

    Open Access•Oleksii Lyulyov, Tetyana Pimonenko et al.•Technological Forecasting and…•2024

  • ICT diffusion, E-governance, and sustainability in the digital era

    Open Access•Saba Khan, Saif Ullah et al.•Sustainable Futures•2024

  • Ratings and Rankings

    Open Access•Paolo Paruolo, Michaela Saisana et al.•Journal of the Royal Statistical…•2013

  • Comparing innovation systems

    Open Access•Xielin Liu, Steven White•Research Policy•2001

  • National Systems of Entrepreneurship

    Open Access•Zoltan J Acs, Eero Autio et al.•Research Policy•2014

  • Mission-oriented innovation policies

    Open Access•Mariana Mazzucato•Industrial and Corporate Change•2018

  • Functions of innovation systems

    Open Access•Marko P Hekkert, Roald A A Suurs et al.•Technological Forecasting and…•2007

  • The Oxford Handbook of Innovation

    Jan Fagerberg, David C Mowery•The Oxford handbook of innovation•2006

  • The weakest link hypothesis for adaptive capacity

    Open Access•Richard Sj Tol, Gary Yohe et al.•Global Environmental Change•2006

  • Measuring the Efficiency of China's Regional Innovation Systems

    Kaihua Chen, Jiancheng Guan•Regional Studies•2010

  • Regional Innovation Systems

    Jon Mikel Zabala‐iturriagagoitia, Jon M Zabala-Iturriagagoitia et al.•Regional Studies•2007

  • Research and Development, Spillovers, Innovation Systems, and the Genesis of Regional Growth in Europe

    Andrés Rodríguez-Pose, Riccardo Crescenzi•Regional Studies•2008

  • An Experimental Evaluation of Weakest Link/Best Shot Models of Public Goods

    Glenn W Harrison, Jack Hirshleifer•Journal of Political Economy•1989

  • Convergence of National Innovation Policy Mixes in E urope – Has It Gone Too Far? An Analysis of Research and Innovation Policy Measures in the Period 2004–12

    Open Access•Kincsö Izsak, Paresa Markianidou et al.•JCMS Journal of Common Market…•2014

  • Should you believe in the Shanghai ranking

    Open Access•Jean‐charles Billaut, Jean-Charles Billaut et al.•Scientometrics•2009

  • The Politics of Innovation

    Junmin Wang•Social Forces•2017

Unique citing works4
Citations per year2
Citation span2024 - 2026 (3)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 4

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