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nep-knm New Economics Papers
on Knowledge Management and Knowledge Economy
Issue of 2014‒07‒05
three papers chosen by
Laura Stefanescu
European Research Centre of Managerial Studies in Business Administration

  1. Closing the Gap: An Empirical Evidence on Firm’s Innovation, Productivity, and Exports By Tavassoli, Sam; Jienwatcharamongkhol, Viroj
  2. Effectiveness of Intellectual Property Regimes: 2006-2011 By Noemí Pulido Pavón; Luis Palma Martos
  3. What Drives Academic Data Sharing? By Benedikt Fecher; Sascha Friesike; Marcel Hebing

  1. By: Tavassoli, Sam (CSIR, Blekinge Inst of Technology); Jienwatcharamongkhol, Viroj (Department of Economics, Lund University, Sweden)
    Abstract: It is well known that exporters are productive firms. But the source of their productivity is left unexplained. This paper aims to endogenize the productivity heterogeneity of exporting firms by incorporating innovation in a structural model framework. In doing so, we close the gap between the innovation-productivity and productivity-export literature. Two waves of Swedish Community Innovation Survey (CIS) are merged. This allows for a setup that takes into account the links from innovation input to innovation output and also from innovation output to productivity and exports. The main findings highlight that exporters are productive firms with innovation output in the past, which in turn was driven by prior R&D and other innovation activity investments.
    Keywords: innovation; productivity; export; firm-level; structural model; community innovation survey
    JEL: C31 L60 O31
    Date: 2014–06–01
    URL: http://d.repec.org/n?u=RePEc:hhs:bthcsi:2014-006&r=knm
  2. By: Noemí Pulido Pavón (University of Seville, Spain); Luis Palma Martos (University of Seville, Spain)
    Abstract: The analysis and implications of copyright provide the foundation for copyright economics, where an array of different streams of thought coexist feeding a number of controversies that at the same time both hinder and enrich the research agenda. One of the keenest debates concerns the relation between copyright and competition policy. The goal of the current work is to explore to what extent competition policy determines the level of protection afforded to copyright. The paper also analyses the effect of other variables such as education, innovation, culture and national wealth. Panel data techniques are applied for a sample of eight countries over the period 2006 to 2011. Findings show that copyright protection is more intense in countries which have more effective competition policy laws, and which perform better in education, innovation and wealth. The link with regard to spending on culture does not prove significant, opening up a range of hypotheses for formulating cultural policy goals and instruments. In terms of countries, those in the Mediterranean area display the weakest regimes for protecting intellectual property.
    Keywords: Intellectual Property Rights, Copyright Economics, Competition Policy, Panel Data Techniques.
    JEL: D4 L5 Z1
    Date: 2014–06
    URL: http://d.repec.org/n?u=RePEc:gmf:wpaper:2014-12.&r=knm
  3. By: Benedikt Fecher; Sascha Friesike; Marcel Hebing
    Abstract: Despite widespread support from policy makers, funding agencies, and scientific journals, academic researchers rarely make their research data available to others. At the same time, data sharing in research is attributed a vast potential for scientific progress. It allows the reproducibility of study results and the reuse of old data for new research questions. Based on a systematic review of 98 scholarly papers and an empirical survey among 603 secondary data users, we develop a conceptual framework that explains the process of data sharing from the primary researcher's point of view. We show that this process can be divided into six descriptive categories: Data donor, research organization, research community, norms, data infrastructure, and data recipients. Drawing from our findings, we discuss theoretical implications regarding knowledge creation and dissemination as well as research policy measures to foster academic collaboration. We conclude that research data cannot be regarded a knowledge commons, but research policies that better incentivize data sharing are needed to improve the quality of research results and foster scientific progress.
    Keywords: Data Sharing, Academia, Systematic Review, Research Policy, Knowledge Commons, Crowd Science, Commons-based Peer Production, SOEP
    JEL: C81 C82 D02 H41 L17 Z13
    Date: 2014
    URL: http://d.repec.org/n?u=RePEc:diw:diwsop:diw_sp655&r=knm

This nep-knm issue is ©2014 by Laura Stefanescu. 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.
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NEP’s infrastructure is sponsored by the School of Economics and Finance of Massey University in New Zealand.