The Readiness of the Selected European Countries for the Development of Knowledge Economy (original) (raw)
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Information Systems & Economics eJournal, 2014
English Abstract: The country’s readiness for the development of knowledge economy was measured using the Knowledge Economy Index (KEI) and the Knowledge Index (KI) of The World Bank Institute’s Knowledge for Development Program, 2012. The assessment of the position of the observed countries for the development of knowledge economy is based on the use of a number of analytical procedures. Cluster analysis was used first in order to check for the level of differences according to the KEI parameters and to group the selected countries into clusters, aimed at detecting the deviation of the observed European countries from the remainder of the group. Then we used the radar cart analysis of the four KEI pillars and their key variables in order to identify the current situation with respect to the values of partial indicators of the KEI pillars and establish the relative positions of the selected countries. Finally, over time comparison of the current values of the KEI pillars with the 20...
Indicators System as a Measure of Development Level of Knowledge Economy
Advances in Business Strategy and Competitive Advantage, 2018
Scientific and technological advances and economic globalization impose new requirements on the organization of domestic economy. Knowledge economy development principles were formulated in order to understand current processes. Special attention was paid to specific features of the knowledge economy. A comprehensive approach proposed by the World Bank was studied under a special Knowledge for Development Program (K4D) to assess country's economic readiness to shift to the knowledge economy model. Countries were ranged based on the Knowledge Economy Index and top-10 countries were selected. Such indices as the Global Innovation Index, the Human Development Index and collections of analytic works also indicate a transfer to the knowledge economy. The development of the Global Innovation Index was studied and top-10 countries having the highest indices were selected. A research was made into the Human Development Index and its dynamics in Russia and in G20 countries was analyzed o...
Argumenta Oeconomica Cracoviensia, 2015
The purpose of this research is to analyse the influence of knowledge resources on the competitiveness of Central and East European (CEE) countries. The aim is to identify the correlation between the achieved development level of the knowledge economy, as measured by the Knowledge Economy Index (KEI), and the competitiveness level, as measured by the Global Competitiveness Index (GCI). The study was conducted using descriptive statistics, correlation, and cluster and regression analysis. Structurally, the paper is composed of the following parts: a) analysis of CEE countries' competitiveness according to the GCI and KEI; b) examination of the correlation between the GCI and KEI in CEE countries; and c) analysis of the influence of pillars within the KEI on the GCI in CEE countries. The research results show that there is a strong positive correlation between the GCI and KEI. The outcomes of this study are useful for development policy-makers in CEE countries and highlight the relevance of improving knowledge economy performance in future.
2018
Bilgi, tarih boyunca toplumlarin zenginliginin en onemli kaynagi olmustur. Daha fazla ve daha nitelikli bilgiye sahip olan ve bilgiyi etkin bir siyasal, ekonomik ve sosyal orgutlenme ile dogru bicimde kullanabilen toplumlar digerlerinin onune gecerek daha yuksek bir refah seviyesine erismistir. Bu calismada bilgi ekonomisi performans gostergeleri ve secilmis makro ekonomik degiskenler arasindaki iliski tespit edilmeye calisilmistir. Bu amacla ele alinan OECD uyesi 34 ulke icin derlenen veri seti kanonik korelasyon analizi ile degerlendirilmistir. Yapilan analizler sonucunda degisken setleri arasinda anlamli ve guclu bir iliski oldugu gorulmustur. Anahtar Kelimeler: Bilgi Ekonomisi, Bilgi ve Iletisim Teknolojileri (BIT), Kanonik Korelasyon Analizi.
Clustering of Countries in Global Landscape of Knowledge Economy Development
SCIENTIFIC BULLETIN OF POLISSIA
Urgency of the research stems from the need to analyse the complex transformation processes in the world economy system, associated with transition to knowledge economy (KE). Identifying the distinctive features of the countries at the national level is a key prerequisite for generalization of these processes at the global level. Target setting. In the context of changes in the world economy, an assessment of the level and dynamics of KE development parameters in general and by individual components is critical for every country. International comparative analysis allows assessing the global landscape of KE development as well as identifying its key factors. Actual scientific researches and issues analysis. Prominent Ukrainian and foreign scientists-economists formed the theoretic and methodological bases for the study. Numerous studies prove the relevance of the selected topic and significance of the identified scientific and practical problem. Uninvestigated parts of general matters defining. Global landscape of KE development has been studied in a fragmented manner. In particular, it is related to search for its structure and identification of the key factors of knowledge management. The research objective. To implement clastering of countries using KE development parameters and to identify its key factors. The statement of basic materials. Clustering of countries has been implemented using KE development parameters in 2010 and 2014, including such components as education, science, information and communication technologies, manufacturing technologies and innovative business. Based on the assessment of differences between clasters, we have identified the key factors of KE formation. Boundary values of these parameters by clusters enabled us to evaluate a position of Ukraine in the global landscape. Conclusions. Study outcomes characterize the structure and heterogeneity of the global landscape of KE development. We have identified its key factors, boundary values, which are critical while assessing a position of particular countries and identifying target indicators of their strategies.
The Impact of the Knowledge Economy Indicators on Regional Economic Growth
PROCEEDINGS OF 18TH APRIL INTERNATIONAL ACADEMIC CONFERENCE ON ECONOMIC AND SOCIAL DEVELOPMENT, 2017
The purpose of this study is the evaluation of the impact of the knowledge economy indicators on the level of regional economic development, as measured by the gross regional product (GRP). Grounding on the World Bank's Knowledge Economy Index, we have developed the original Russian Knowledge Economy Index. Then, we allocated the leading and the lagging regions in terms of the knowledge economy.
African Journal of Business Management, 2012
The difference between knowledge economy and the others is that, the former has the primary importance. In recent years, the theoretical and empirical studies emphasize the role and the parameters of the knowledge economy. The important part of the empirical studies, concentrates on the relationship of knowledge economy and economic growth. In this study, the relationships between the variables effect and knowledge economy is tested by using panel data analysis. The data set includes the first 19 members of OECD and 2005-2010 periods. According to the results, knowledge economy and institutional regime of economy, education, innovation, information and communication technology (ICT) are statistically related.
Indicators for the knowledge-based economy: A comparison
This paper elaborates on the Triple Helix model for measuring the emergence of a knowledge base of socio-economic systems. The 'knowledge infrastructure' is measured using multiple indicators: webometric, scientometric, and technometric. The paper employs this triangulation strategy to examine the current state of the innovation systems of South Korea and the Netherlands. These indicators are thereafter used for the evaluation of the systemness in configurations of university-industry-government relations. South Korea is becoming somewhat stronger than the Netherlands in terms of scientific and technological outputs and in terms of the knowledge-based dynamics; South Korea's portfolio is more traditional than that of the Netherlands. For example, research and patenting in the biomedical sector is underdeveloped. In terms of the Internet-economy, the Netherlands seem oriented towards global trends more than South Korea; this may be due to the high component of services in the Dutch economy.
Assessment of knowledge economy
Journal of Science and Technology Policy Management, 2015
Purpose – The purpose of this paper is to describe the current status of the knowledge-based economy (KBE) in Iran in comparison to Turkey, the challenges encountered and the appropriate policies toward Iran’s Outlook 2025 based on which the country is expected to be ranked first in science and technology within the Middle East region. Design/methodology/approach – This study is a descriptive research. The methodology used for this study is qualitative/quantitative secondary research. The method will be used for two main goals. First, we used the World Bank’s Knowledge Assessment Methodology, and the data are mostly collected from secondary sources such as the World Bank’s Development Indicators for Iran and Turkey. Second, desktop research will be used to summarize and synthesize available studies on the consideration of policy-making toward KBE, especially among developing economies. Findings – The paper provides policy considerations around four pillars: information and communica...