Table 2 - uploaded by Igor Vinnychuk
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Source publication
This paper analyses the nature of economic growth in the context of knowledge economy. Indicators that can describe the individual components of knowledge economy are selected. The dynamics of knowledge economy components based on statistics of Ukraine, Poland, Germany and Lithuania is researched. The neural network was built using knowledge econom...
Contexts in source publication
Context 1
... investigate the relation between economic growth and knowledge economy, the dynamics of the rate of change of some components of knowledge economy (Table 2) must be analysed first based on the statistics for the period between 1996 and 2011 for Ukraine, Poland, Germany and Lithuania. The rate of change (%) and the corresponding average rates for each indicator component of knowledge economy were analysed using the statistics for the period between 1996 and 2011 for Ukraine, Poland, Germany and Lithuania. ...
Citations
... On the other side, Tew et al. (2017) assessed the impact of the four main knowledge economy pillars on growth for 55 countries during 2000-2012 and found that innovation, education, ICT infrastructure and institutions had a positive impact on growth and that institutions was the most impactful pillar. Vinnychuk et al. (2014) advocated that institutions, education, ICT infrastructure and innovation positively influenced growth for Poland, Ukraine and Lithuania during 1996-2011; however, ICT was the most important pillar, owing to higher ICT infrastructure investments in these countries. ...
Purpose
This paper aims to examine the relationship between knowledge-economy and economic growth in 16 Asia-Pacific (AP) countries during the period 2011–2018. The study also aims to investigate a diversity of knowledge-economy pillars, including tertiary education, domestic innovation, foreign innovation, economic incentives and institutional regime and information and communications technologies (ICTs) and their relation to economic growth.
Design/methodology/approach
The study applies a comparative empirical analysis using pooled ordinary least squares (OLS), one-step difference generalised methods of moments (GMM) and bias-corrected least-squares dummy variables (LSDVc) estimators to test this relationship.
Findings
Pooled OLS estimators deemed suboptimal to the panel data under study, while GMM results reveal a significant relationship between tertiary education, domestic and foreign innovation, government expenditure and investments with economic growth. Of these results, domestic innovation, investments and government consumption are positively correlated with economic growth, whereas tertiary education and foreign innovation show a negative relation. Meanwhile, institutions and ICT have insignificant relationships with economic growth. LSDVc results coincide with GMM results with respect to tertiary education, whereas institutions is the only additional significant and negatively correlated variable with economic growth.
Research limitations/implications
The main limitation of this research lies in the unavailability of proxy data for knowledge economy pillars in monetary terms, and hence, the paper relies on indices.
Originality/value
The novelty of the study lies in its aim to investigate economic growth in the AP region that is enhanced by domestic innovation, foreign innovation or both – an area which is empirically understudied in the knowledge-economy context. Further, the paper’s novelty lies in its application of a comparative empirical analysis between the most popular dynamic panel estimators – dynamic GMM and bias-corrected LSDVc for AP countries.
... Серед вітчизняних науковців проблемам формування економіки знань присвятили роботи О. Віннічук [10], А. Дехтяр [11] та ін. Проблеми розвитку та управління вітчизняної наукової сфери досліwww.business-inform.net ...
The economic growth of the world’s countries depends on the creation of knowledge, the ability to increase knowledge and use it in economic activity. The article is aimed at defining the features of the management of scientific-innovation systems in the context of knowledge economy together with the directions of its improvement. The objectives of the article are: studying the evolution of conceptual models of scientific policy and defining the place of knowledge economy in the management of scientific activities; defining the feature of the management of scientific-innovative systems in the context of transformational changes influenced by the emergence and dissemination of new scientific knowledge; developing directions to improve the management of scientific-innovation systems in the context of knowledge economy. The research methods are: logical analysis, literature review, comparisons. The article researches conceptual models of scientific policy formation. It is defined that a model of scientific policy, which is based on a knowledge-based economy, has recently been spreading. It is proved that the development of the knowledge economy is characterized by the complexity of processes of management of scientific activities, determines the need to improve existing management technologies. A model of the national scientific-innovation system from the perspectives of the system-self-organizational and the institutional-evolutionary approaches has been proposed, allowing to identify attractors that can be used in practice in the process of managing the country’s scientific activities in the context of knowledge economy. It is defined that in the current conditions of transformations it is advisable to introduce quantum control, which is considered as a promising direction of improving the development of science in Ukraine.
... Thus, this leads to the emergence of a knowledge economy in which an increasing level of intellectualisation and the transition of an economy based on knowledge have become the major traits of the current scenario of global economic development. As many advanced economies have achieved a great deal of economic and social development by investing in knowledge and technology, this trend must be considered by developing economies in determining their strategic outlook in the direction of the transition to a knowledgebased economy (Vinnychuk, Skrashchuk, and Vinnychuk 2014). As a result, the knowledge-based economy will serve as a keystone to sustain a rapid rate of economic growth and enhance international competitiveness. ...
... Further, the results of a study conducted by Lopes, Martins, and Nunes (2005) to access the impact of fixed capital (FCI) and knowledge capital (KCI) growth on GDP growth in Portugal revealed that the impact of knowledge of capital investment on GDP growth is greater than fixed capital, with one FCI estimated coefficient equal to 27.7% and KCI coefficient about 30 percent. In a similar vein, a study conducted by Vinnychuk, Skrashchuk, and Vinnychuk (2014) investigating the impact of knowledge economy components on the GDP per capita of Ukraine, Poland, Germany and Lithuania for the period 1996-2011 revealed that the component of information and communication technology (38.0784 %), has the largest impact on predicted GDP per capita, followed by innovation system (29.0488 %), economic and institutional regime (17.7171%) and education and human resources (15.1556%). ...
In the modern era, the success of a developing economy has become more dependent on the capacity to produce and use knowledge, which leads to the emergence of a knowledge economy. Keeping in view the significance of the knowledge economy in the economic growth of economies, in the present study an attempt has been made to examine the inter-country differences across the selected developing economies. In addition to it, to analyse the impact of knowledge on economic level as well as on economic growth across 42 selected developing economies, regression analysis was applied. The results of the study reveal that there is positive correlation between the knowledge economy index and economic level, but there is very weak marginal effect of the knowledge economy on economic growth.
Over the past decade, higher education and research establishments (HERE) around the world have faced a number of challenges related to the articulation of three dimensions, namely the development of Education, Innovation and Sustainable Development. The questions are related to the adoption of new innovative technologies through higher education, the evaluation of the quality of ESR strategies from a multi-criteria and multi-actor perspective, the development of programmes taking into account the challenges of sustainable development, etc. Taking the example of the development strategy of the University of Versailles Saint-Quentin-en-Yvelines and the creation of the University of Paris Saclay, we will examine how significant initiatives to address this triple challenge have been Developed. A historical reminder will be carried out to retrace the evolution of the strategy of the University of Versailles Saint-Quentin-en-Yvelines (2004-2015) and the University of Paris Saclay (2015-2020) in the development of training programmes and partnerships for sustainable development. In particular, we will rely on the use of the ePLANETe blue knowledge mediation portal, which provides (a) an innovative tool for documenting educational programmes and materials (TALIESIN DOORWAY), (b) a quality assessment tool ESR's strategic objectives from a deliberative perspective and (c) an innovative and original approach in the development of pedagogical approaches. A reflexive approach is proposed to evaluate the contribution of ePLANETe blue to the knowledge economy.
Purpose
This paper aims to assess the relationship between a knowledge-based economy and fraudulent financial reporting.
Design/methodology/approach
The study is descriptive-correlation based on published information from enlisted firms on the Tehran Stock Exchange during 2013–2019 with a sample of 178 firms (1,246 observations). The method used for hypothesis testing is linear regression using the panel data.
Findings
The results show that a knowledge-based economy is associated negatively and significantly with financial reporting. Moreover, robust testing has also examined the hypotheses (including fixed effects, OLS and t + 1) that confirmed the study’s preliminary results.
Originality/value
As the study was carried out in the emergent financial markets, like Iran, to figure out the relationship between knowledge-based economy and financial reporting, it can provide helpful information for the practitioners in this field.
