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on Knowledge Management and Knowledge Economy |
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Issue of 2016‒07‒02
six papers chosen by Laura Ştefănescu Centrul European de Studii Manageriale în Administrarea Afacerilor |
| By: | Annarosa Pesole (European Commission – JRC - IPTS) |
| Abstract: | This report presents an update of the ICT Innovation Output Indicator based on the latest available data, and provides a measure of the performance of the European Union (EU) and its Member States in ICT innovation. The ICT Innovation Output Indicator is the contribution of Information and Communication Technologies (ICT) to the Innovation Output Indicator elaborated by the European Commission in 2013. The contribution of ICT has been computed for each underlying component of the Innovation Output Indicator for all EU Member States. Depending on the indicator component analysed and data availability, the ICT contribution to innovation can refer either to innovation in the ICT sector as defined by the classification of economic activities, or to ICT use as a general purpose technology in the rest of the economy. The up-to-date ICT contributions for the EU aggregate are: 1. 28% in technological innovation as measured by patents; 2. 19% in absorption of skills as measured by employment in knowledge intensive activities; 3. 27% in competitiveness of knowledge goods as measured by exports of medium-high tech goods; 4. 20% in competitiveness of knowledge services as measured by exports of knowledge intensive services; 5. 23% in innovative firms’ dynamics as measured by employment of innovative fast-growing firms. All data refer to 2013 with the exception of data on patents which refer to 2011. The methodology to compute the ICT Innovation Output Indicator follows the one presented in "How much does ICT contribute to innovation output? An analysis of the ICT component in the innovation output indicator" (Pesole, 2015 ). The reader is referred to this report for more detail on the methodology. The 2013 EU aggregate ICT contributions are very similar to those in 2012 reported by Pesole (2015). The technological innovation component (i.e. ICT PCT patent) increased by two percentage points in 2011 (from 26% to 28%). Similarly, competitiveness of knowledge goods increased from 25% to 27% in 2013. The other contributions remain unchanged. The ICT Innovation Output Indicator delivers a measure of output-oriented ICT innovation that captures both the technological and non-technological aspects of innovation in ICT and ranks Member States' performance. The three top performing countries remain the same as in Pesole 2015: Finland, Ireland and Sweden. |
| Keywords: | ICT innovation output indicator, measurement of ICT innovation |
| Date: | 2016–06 |
| URL: | http://d.repec.org/n?u=RePEc:ipt:iptwpa:jrc100892&r=knm |
| By: | Asongu, Simplice; Andrés, Antonio R. |
| Abstract: | In the first critical assessment of knowledge economy dynamic paths in Africa and the Middle East, but for a few exceptions, we find overwhelming support for diminishing cross-country disparities in knowledge-base-economy dimensions. The paper employs all the four components of the World Bank’s Knowledge Economy Index (KEI): economic incentives, innovation, education, and information infrastructure. The main finding suggests that sub-Saharan African (SSA) and the Middle East and North African (MENA) countries with low levels in KE dynamics and catching-up their counterparts of higher KE levels. We provide the speeds of integration and time necessary to achieve full (100%) integration. Policy implications are discussed. |
| Keywords: | Knowledge economy; Principal component analysis; Panel data; Convergence |
| JEL: | F42 O10 O38 O57 P00 |
| Date: | 2015–12 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:71786&r=knm |
| By: | Claude Diebolt (BETA, University of Strasbourg Strasbourg, France); Ralph Hippe (London School of Economics and Political Science, Grantham Research Institute on Climate Change and the Environment) |
| Date: | 2016 |
| URL: | http://d.repec.org/n?u=RePEc:afc:wpaper:07-16&r=knm |
| By: | Colombelli, Alessandra; Quatraro, Francesco (University of Turin) |
| Abstract: | There is wide consensus about the importance of green technologies for achieving superior economic and environmental performances. The literature on their determinants has neglected the creation of green start-ups as a channel to bring about green technologies in the market. Drawing upon the knowledge spillovers theory of entrepreneurship, we test the relevance of local knowledge stocks, distinguishing between clean and dirty stocks, for the creation of green start-ups. Moreover, the effects of the technological composition of local stocks is investigated, by focusing on technological variety, both related and unrelated, as well as on coherence. Consistently with recent literature, green start-ups are associated to higher levels of variety, pointing to the relevance of diverse and heterogeneous knowledge sources, but in related and complementary technological fields. |
| Date: | 2016–04 |
| URL: | http://d.repec.org/n?u=RePEc:uto:labeco:201604&r=knm |
| By: | Claude Diebolt; Ralph Hippe |
| Abstract: | Human capital is supposed to be an important factor for innovation and economic development. However, the long-run impact of human capital on current innovation and economic development is still a black box, in particular at the regional level. Therefore, this paper makes the link between the past and the present. Using a large new dataset on regional human capital and other factors in the 19th and 20th century, we find that past regional human capital is a key factor explaining current regional disparities in innovation and economic development. |
| Keywords: | Human Capital, Economic Development, Innovation, Regions, Europe. |
| JEL: | I25 N90 O18 R11 |
| Date: | 2016 |
| URL: | http://d.repec.org/n?u=RePEc:ulp:sbbeta:2016-31&r=knm |
| By: | Levin, Mark (Russian Presidential Academy of National Economy and Public Administration (RANEPA)); Matrosova, K. (Russian Presidential Academy of National Economy and Public Administration (RANEPA)) |
| Abstract: | This paper is an analysis of the diffusion of innovation. The aim of the study is to elaborate comprehensive survey involving many carefully consistent peculiarities or different approaches of innovative diffusion and to create an original model of innovative processes. |
| Keywords: | innovation, diffusion of innovation, externalities, simulation analysis, attributes, evolutionary theory |
| Date: | 2016–04–14 |
| URL: | http://d.repec.org/n?u=RePEc:rnp:wpaper:1443&r=knm |