nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2017‒02‒12
seven papers chosen by
Laura Ştefănescu
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. The inter-temporal dimension to knowledge spillovers: any non-environmental reason to support clean innovation? By Christos Karydas
  2. Mapping and Analysis of ICT-enabled Social Innovation initiatives promoting social investment across the EU: IESI Knowledge Map 2016 By Gianluca Misuraca; Csaba Kucsera; Giulio Pasi; Dimitri Gagliardi; Fabienne Abadie
  3. Knowledge Composition, Jacobs Externalities and Innovation Performance in European Regions By Antonelli, Cristiano; Crespi, Francesco; Mongeau, Christian; Scellato, Giuseppe
  4. JRC Insights - Social Policy Innovation Series - Leveraging Digital Social Innovation: Perspectives from the IESI Knowledge Map By Gianluca Misuraca; Giulio Pasi; Dimitri Gagliardi; Fabienne Abadie
  5. The Coevolution of Organizational Knowledge and Market Technology By Pontikes, Elizabeth G.; Barnett, William P.
  6. The Wage Effects of Regional Brain Gain and Brain Drain Revisited By Möller, Joachim; Eppelsheimer, Johann
  7. A Typology of European Research Universities. Differentiation, Layering and Resource Distribution By Benedetto Lepori; Aldo Geuna; Valerio Veglio

  1. By: Christos Karydas (ETH Zurich, Switzerland)
    Abstract: How should governments best allocate their budget to support private research activities? The consensus in the literature is that sector-specific R&D support policies should be increasing in the degree of compatibility of sectoral innovation with the practices of the wider economy. Using a multi-sector endogenous growth model with in-house R&D and knowledge spillovers, it is shown, that accounting for the time it takes for an innovation to diffuse modifies this widely-accepted result. Wide applicability of green innovations alone does not justify higher research subsidies.
    Keywords: Climate Policy, Industrial Policy, Innovation Spillovers, Technology Diffusion, Endogenous Growth
    JEL: O31 O33 Q54 Q55 Q58 H23
    Date: 2017–01
  2. By: Gianluca Misuraca (European Commission – JRC); Csaba Kucsera (European Commission – JRC); Giulio Pasi (European Commission – JRC); Dimitri Gagliardi (University of Manchester); Fabienne Abadie (European Commission – JRC)
    Abstract: This report presents the results of the analysis of the consolidated mapping of ICT-enabled social innovation initiatives promoting social investment gathered as part of the research project entitled 'ICT-Enabled Social Innovation to support the Implementation of the Social Investment Package' (IESI). The dataset includes 613 initiatives inventoried over the course of the research, out of which 300 have been mapped and are part of the IESI Knowledge Map 2016. The results of the analysis of the IESI mapping is meant to help policymakers and practitioners to use ICT-enabled social innovation to modernise EU welfare states, providing better and more efficient social services and increasing the skills, wellbeing and resilience of EU citizens. In this perspective, the documented research design, its proposed terminology, theoretical framework and findings contribute to the growing scientific interest and debate about ICT-enabled social innovations in the field of social services innovation and social policy redesign within the scope of the emerging discussion on the European Pillar of Social Rights and the future of welfare systems.
    Keywords: Social policy, innovation, ICT, social investment, social policy innovation, SIP, Social Investment Package, social economy, social enterprise, ICT enabled social innovation, ICT, services, social protection, welfare, mapping, welfare reforms, wellbeing, resilience
    JEL: I31 I38 O35 O33
    Date: 2017–01
  3. By: Antonelli, Cristiano; Crespi, Francesco; Mongeau, Christian; Scellato, Giuseppe (University of Turin)
    Abstract: This paper analyses the role of the composition of the regional stock of knowledge in explaining innovation performance. The paper provides three main contributions. First, it investigates the relevance of Jacobs knowledge externalities in characterizing the technological capabilities at the regional level. Second, it applies the Hidalgo-Hausmann (HH) methodology to analyze knowledge composition by looking at patent data of 214 regions, located in 27 state members of the European Union (EU) during the years 1994- 2008. Third, it econometrically assesses the role of knowledge base composition in a knowledge generation function. The results of the empirical analysis confirm that the characterization of regional knowledge base through the HH indicators provides interesting information to understanding its composition and to qualify it as a provider of the Jacobs knowledge externalities that account for the dynamics of regional innovative performance.
    Date: 2016–07
  4. By: Gianluca Misuraca (European Commission – JRC); Giulio Pasi (European Commission – JRC); Dimitri Gagliardi; Fabienne Abadie (European Commission – JRC)
    Abstract: This issue of the ‘JRC Insights’ discusses how ICT-enabled social innovation initiatives that promote social investment through integrated approaches to social services delivery can contribute to the policy objectives of the EU Social Investment Package. Digitally-enhanced social service delivery can promote social investment. ICTs often play a game-changing role in the development of platforms that support innovative partnerships. Here, social challenges can be addressed by focusing on two objectives: (i) the modernisation of social protection systems in the EU Member States and, (ii) promoting experimental approaches to innovation-driven social investments. Modernisation and experimentation in social protection systems has been revived by the emergence of a new type of business, private or not for profit, in the field of social services. These businesses explore or even co-create innovative financial instruments. In particular, evidence gathered shows that ICT-enabled social innovation initiatives respond to the social needs of society or specific groups in society by facilitating co-creation and co-production processes. These processes enrich policy design with stakeholders' specific knowledge and competencies. ICT-enabled social innovation initiatives have the capacity to identify emerging or unmet needs, engage stakeholders and turn their governance models into sustainable production processes. This aspect makes their contributions to social investment approaches particularly apt.
    Keywords: Social investment, social policy innovation, SIP, Social Investment Package, social economy, social enterprise, ICT enabled social innovation, ICT, services, social protection, social welfare
    Date: 2017–01
  5. By: Pontikes, Elizabeth G. (University of Chicago); Barnett, William P. (Stanford University)
    Abstract: A coevolutionary perspective on knowledge strategy is developed, where variant positions in knowledge space are predicted to result in differential advantages in product space. In particular, advantages to being both consistent and specialized in knowledge space are predicted to generate advantages in product space. Results in support of this prediction are found in an analysis of the history of the computer industry. The theory advanced has implications for both technology strategy and for researchers interested in introducing choice to evolutionary models of organizations. In particular, the findings imply that exploration occurs at the population level among individually-focused knowledge specialists.
    Date: 2016–12
  6. By: Möller, Joachim; Eppelsheimer, Johann
    Abstract: Since the study by Moretti (2004) for the US, it is widely accepted that the spatial distribution of human capital plays an increasing role for regional labor market outcomes. Like in the pioneer approach we assume that workers' productivity at the firm level depend on the regional share of the high skilled. We extent the theoretical framework, however, by decomposing the change in the regional share of high-skilled workers into brain drain, brain gain as well as into labor market entry and exit effects. This allows us to investigate hypotheses about the extent and nature of knowledge spillovers in more detail. For the empirical part we analyze a large administrative panel data set. Including a series of controls as well as fixed effects for the worker, occupation, industry, region and year we find a significant negative relationship between brain drain and the regional wage level of low- and high skilled workers and a positive one for brain gain. These results are robust across different specifications and hold for Germany as a whole and West Germany alone. If estimated separately, we find much weaker and partly statistically not significant knowledge spillovers for East German regions. In general, brain drain and brain gain effects are of similar order of magnitude, whereas the effect of labor market exits of high-skilled workers exceeds that of labor market entries in absolute value. Using instrumental variable methods we show that the basic results are not driven by endogeneity bias.
    JEL: J24 J31 O15
    Date: 2016
  7. By: Benedetto Lepori (Universita della Svizzera italiana); Aldo Geuna (University of Turin - Department of Economics S. Cognetti de Martiis); Valerio Veglio (Università degli Studi di Milano-Bicocca - Department of Economics, Quantitative Methods and Business Strategies (DEMS))
    Abstract: The aim of this paper is to develop a theory-based typology of Higher Education Institutions (HEIs) based on three dimensions of differentiation, i.e. their activity profile (education vs. research), the subject scope (generalist vs. specialist) and regulatory characteristics which constrain previous two. We examine the financial environment of HEIs as a possible selection mechanism. Particular attention is devoted to the identification of European Research Universities By testing this typology on a large sample of European HEIs, we show systematic differences between types in their activity profile and in the level of funding, therefore providing evidence that types are associated with different market positioning. We identify a small group of research universities, characterized by a high level of research volume and intensity and by a volume of funding far higher than all other HEIs in the sample, suggesting that their emergence is critically linked to the concentration of resources.
    Keywords: Academic Research, Higher Education Institutions, Universities, Ranking, Typology, Resource Allocation, Concentration of Resources
    JEL: I23 I28 H52
    Date: 2017–01

This nep-knm issue is ©2017 by Laura Ştefănescu. It is provided as is without any express or implied warranty. It may be freely redistributed in whole or in part for any purpose. If distributed in part, please include this notice.
General information on the NEP project can be found at For comments please write to the director of NEP, Marco Novarese at <>. Put “NEP” in the subject, otherwise your mail may be rejected.
NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.