nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2022‒10‒31
six papers chosen by
Laura Nicola-Gavrila
Centrul European de Studii Manageriale în Administrarea Afacerilor

  1. Burundi Digital Economy Assessment By World Bank Group
  2. Collaborative knowledge exchange promotes innovation By Tomoya Mori; Jonathan Newton; Shosei Sakaguchi
  3. Uganda Digital Economy Assessment By World Bank
  4. Raising EU productivity through innovation By Reinhilde Veugelers; Frederic Warzynski
  5. Technology and the Task Content of Jobs across the Development Spectrum By Julieta Caunedo; Elisa Keller; Yongseok Shin
  6. Green Innovation and Economic Growth in a North-South Model By Witajewski-Baltvilks,Jan Ignacy; Fischer,Carolyn

  1. By: World Bank Group
    Keywords: Agriculture - Agricultural Knowledge & Information Systems Information and Communication Technologies - Information Technology Infrastructure Economics and Finance - Infrastructure Economics Private Sector Development - Private Sector Economics
    Date: 2020–12
  2. By: Tomoya Mori; Jonathan Newton; Shosei Sakaguchi
    Abstract: Considering collaborative innovation in patent development, we provide micro-level evidence of knowledge spillovers. Knowledge embodied in a patent is proxied by word pairs appearing in its abstract, while novelty is measured by the frequency with which these word pairs have appeared in past patents. Inventors are assumed to possess the knowledge associated with patents in which they have previously participated. We find that collaboration by inventors with more mutually differentiated knowledge sets is likely to result in patents with higher novelty.
    Date: 2022–10
  3. By: World Bank
    Keywords: Information and Communication Technologies - Digital Divide Information and Communication Technologies - ICT Policy and Strategies Information and Communication Technologies - Information Technology Information and Communication Technologies - Poverty Reduction & ICT Information and Communication Technologies - Telecommunications Infrastructure
    Date: 2020–11
  4. By: Reinhilde Veugelers; Frederic Warzynski
    Abstract: A better overview of which firms are most likely to adopt digital technologies and to innovate, and to turn these investments into productivity growth
    Date: 2022–06
  5. By: Julieta Caunedo; Elisa Keller; Yongseok Shin
    Abstract: The tasks workers perform on the job are informative about the direction and the impact of technological change. We harmonize occupational task content measures between two worker-level surveys, which separately cover developing and developed countries. Developing countries use routine-cognitive tasks and routine-manual tasks more intensively than developed countries, but less intensively use non-routine analytical tasks and non-routine interpersonal tasks. This is partly because developing countries have more workers in occupations with high routine contents and fewer workers in occupations with high non-routine contents. More important, a given occupation has more routine contents and less non-routine contents in developing countries than in developed countries. Since 2006, occupations with high non-routine contents gained employment relative to those with high routine contents in most countries, regardless of their income level or initial task intensity, indicating the global reaches of the technological change that reduces the demand for occupations with high routine contents.
    Keywords: occupation; task; technological change; data harmonization
    JEL: O11 J24 E24
    Date: 2022–09–29
  6. By: Witajewski-Baltvilks,Jan Ignacy; Fischer,Carolyn
    Abstract: If one region of the world switches its research effort from dirty to clean technologies, will other regions follow To investigate this question, this paper builds a North-South model that combines insights from directed technological change and quality-ladder endogenous growth models with business-stealing innovations. While North represents the region with climate ambitions, both regions have researchers choosing between clean and dirty applications, and the resulting technologies are traded. Three main results emerge: (i) In the long-run, if North's research and development (R&D) sector is large enough, researchers in South will follow the switch from dirty to clean R&D in North, motivated by the growing value of clean markets. (ii) If the two regions direct research effort toward different sectors and the outputs of the two sectors are gross substitutes, then the long-run growth rates in both regions are lower than if the global research effort were invested in one sector. (iii) If North's government induces its researchers to switch to clean R&D through clean technology subsidies, the welfare-maximizing choice for South is to ensure that all of its researchers switch too, unless the social discount rate is high. The last result is true even if South's R&D sector is large.
    Date: 2022–06–21

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