nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2022‒10‒10
four papers chosen by
Laura Nicola-Gavrila
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Revisiting the knowledge-capital model of foreign direct investment: New multi-country evidence By Kox, Henk L.M.
  2. Discovering pre-entry knowledge complexity with patent topic modeling and the post-entry growth of Italian firms By Marco Guerzoni; Massimiliano Nuccio; Federico Tamagni
  3. Transforming Regional Knowledge Bases: A Network and Machine Learning Approach to Link Entrepreneurial Experimentation and Regional Absorptive Capacity By Jessica Birkholz
  4. Unable to innovate or just bad circumstances? Comparing the innovation system of a state-led and market-based economy By Ann Hipp; Udo Ludwig; Jutta Günther

  1. By: Kox, Henk L.M.
    Abstract: The knowledge capital (KC) model explains the international distribution of foreign direct investment (FDI). It assumes that firms own knowledge assets that may also be exploited via foreign subsidiaries. Do countries with much outward FDI indeed have a relative abundance of proprietary knowledge assets? This has not yet been adequately tested due to a lack of data on knowledge assets. Our paper proposes a new testing procedure. It extends the KC model by a module that formalises the encapsulation of publicly created knowledge into firm-owned knowledge assets. We use a large new dataset for public and private knowledge creation in 200 countries, covering the period 2000-2020. National knowledge assets do indeed explain patterns of outward FDI, and the role of public knowledge assets of the firm's origin countries is of paramount importance. Robustness tests show the stability of these findings. National KC assets also have an impact on inward FDI, but much weaker than their impact on outward FDI. Our results support the original KC model and extends its explanatory power.
    Keywords: foreign direct investment, knowledge capital assets, empirical test, world-wide
    JEL: D22 D83 F23 O31 O34
    Date: 2022–09–14
  2. By: Marco Guerzoni; Massimiliano Nuccio; Federico Tamagni
    Abstract: Innovation studies have largely recognized the role of knowledge in fostering innovation and growth of entrants. Previous literature has focused on entrepreneurial and managerial capabilities and education and knowledge incorporated in material and immaterial resources. We assume that new firms need to possess different pieces of knowledge, but beyond diversity, business performance relies also on knowledge distinctiveness. In other words, the complexity of a knowledge base is not simply the recombination of homogeneous pieces of knowledge but it also depends on the specific nature of each of them. This paper develops a new complexity indicator able to capture the complexity of the knowledge base by applying a topic modeling approach to the analysis of patent text. We explore the empirical relation between pre-entry complexity of knowledge, as measured by our complexity index, and post-entry growth performance of a sample of Italian firms entering the market in 2009-2011, which we then follow over the period 2012-2021. Baseline results show a significant and positive association between knowledge complexity and growth, even after controlling for firm characteristics and year, sector and region fixed-effects. Robustness analysis reveal this positive effect is stronger in the medium-long run while relatively weaker for innovative SMEs.
    Keywords: pre-entry knowledge base; complexity; text analysis; patents; firm growth; post-entry performance.
    Date: 2022–09–21
  3. By: Jessica Birkholz
    Abstract: This study explores the regional innovation system characteristics that build the basis for the regional absorptive capacity of entrepreneurial knowledge. Regionalized patent data is combined with firm level and regional information for German regions over the period 1995 until 2015. Network analysis is applied to identify regional innovation system characteristics on three different layers: 1) cooperation between incumbent firms, 2) learning regimes, and 3) the technological knowledge base. Random forest analyses on basis of conditional inference classification trees are used to identify the most important characteristics for the regional absorption of entrepreneurial knowledge in general and on different efficiency levels. It is shown that characteristics on all three layers impact the regional absorption of entrepreneurial knowledge. Further, the direction and magnitude of the effect regional innovation system characteristics have on the regional knowledge absorption vary across different levels of absorption rates. It is concluded that for a successful implementation of policies to increase the impact of entrepreneurial knowledge on regional development, the regional innovation system needs to be monitored and adapted continuously.
    Keywords: Entrepreneurship, Regional absorptive capacity, Smart specialization
    JEL: L26 O33 D85
    Date: 2022–04
  4. By: Ann Hipp; Udo Ludwig; Jutta Günther
    Abstract: State socialism failed due to its inner contradictions. Despite huge investments in R&D-intensive industries, the soviet-type economy collapsed in 1989 in Eastern Germany, and the market-based system in the Western part prevailed. We compare the two parallel existing innovation systems in Germany to shed light on the success and failure of the state-led innovation system. Based on newly created indicators from archive data we show in a natural experiment setting that modernization efforts in relation to GDP was much bigger in the socialist as compared to the market economy in the last decades.These achievements, however, could not fully unfold in favor of economic growth due to obstacles related to the setting of research priorities, innovation incentives, and knowledge flow.
    Keywords: Comparative economic systems, natural experiment, innovation system, Germany
    JEL: O11 O31 N94
    Date: 2021–12

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