Diffusion of Innovation, Knowledge Spillover and Economic Growth in the Regions of Kazakhstan

2019 ◽  
Vol 25 (4) ◽  
pp. 487-488
Author(s):  
Bulat Mukhamediyev ◽  
Lazat Spankulova ◽  
Azamat Kerimbayev
Keyword(s):  
Economic Growth ◽  
Diffusion Of Innovation ◽  
Knowledge Spillover ◽  
Innovation Knowledge

Resolving the knowledge paradox: Knowledge-spillover entrepreneurship and economic growth

2008 ◽  
Vol 37 (10) ◽  
pp. 1697-1705 ◽  
Author(s):  
David B. Audretsch ◽  
Max Keilbach
Keyword(s):  
Economic Growth ◽  
Knowledge Spillover

scholarly journals FACTORS IMPACTING TECHNOLOGY BUSINESS INCUBATOR PERFORMANCE

2019 ◽  
Vol 23 (01) ◽  
pp. 1950007 ◽  
Author(s):  
MUHAMMAD BINSAWAD ◽  
OSAMA SOHAIB ◽  
IGOR HAWRYSZKIEWYCZ
Keyword(s):  
Economic Growth ◽  
Diffusion Of Innovation ◽  
Structural Equation ◽  
Business Incubators ◽  
Business Incubator ◽  
Positive Effects ◽  
Equation Modelling ◽  
Performance Map ◽  
Path Modelling ◽  
Map Analysis

Technology business incubators support economic growth by developing innovative technologies. However, assessing the performance of technology business incubators in Saudi Arabia has not been well recognised. This study provides a conceptual framework for assessing technology business incubators based on knowledge sharing practices and sharing, diffusion of innovation and individual creativity. Partial least squares structural equation modelling, such as (PLS-SEM) path modelling was used to test the model. The results provide empirical insights about the performance of technology business incubators. The findings show knowledge donation and collection has positive effects on technology business incubator. The importance–performance map analysis shows additional findings and conclusions for managerial actions.

scholarly journals Entrepreneurship, Growth and Restructuring

2009 ◽  
Author(s):  
David B. Audretsch ◽  
Max Keilbach
Keyword(s):  
Economic Growth ◽  
Small Firms ◽  
Recent Literature ◽  
Knowledge Spillover ◽  
Industrial Restructuring ◽  
Entrepreneurial Opportunities ◽  
Starting Point ◽  
New Knowledge ◽  
Spillover Theory ◽  
Knowledge Spillover Theory

The purpose of this article is to suggest that a more recent literature has emerged which identifies how and why entrepreneurship in the form of new and small firms is a driving engine of industrial restructuring and economic growth. The starting point of this literature is the consideration of entrepreneurial opportunities and how they relate to opportunities generated by incumbent corporations. Entrepreneurship is distinguished from incumbent organizations with respect to both opportunity creation and exploitation. According to the ‘Knowledge Spillover Theory of Entrepreneurship’, entrepreneurial opportunities are not exogenous to the economy, but rather systematically created by incumbent organizations investing in new knowledge and ideas but unable to fully commercialize that new knowledge.

scholarly journals Openness, technological spillovers in the r&d sector and economic growth

2011 ◽  
Vol 13 (1) ◽  
pp. 1-7
Author(s):  
Pei-Pei Chen ◽  
Rangan Gupta
Keyword(s):  
Economic Growth ◽  
Research And Development ◽  
Trade Openness ◽  
Knowledge Spillover ◽  
Trade Liberalisation ◽  
Standard Of Living ◽  
Technological Spillovers

Recent studies have pointed out that trade liberalisation leads to technological spillovers, which tend to improve the efficiency of the domestic research and development (R&D) sector, and ultimately boost economic growth. In this paper, we theoretically formalise the above mentioned relationship between trade openness and growth, via knowledge spillover in the R&D sector. We show that, under certain conditions, an increase in the degree of openness not only enhances growth, but also improves the standard of living. The study, thus, prescribes policies of developing and improving the domestic R&D sector in order to reap the benefits of trade liberalisation.

scholarly journals Technological Changes in Economic Growth Theory: Neoclassical, Endogenous, and Evolutionary-Institutional Approach

2016 ◽  
Vol 54 (2) ◽  
pp. 177-194 ◽  
Author(s):  
Dragoslava Sredojević ◽  
Slobodan Cvetanović ◽  
Gorica Bošković
Keyword(s):  
Economic Growth ◽  
Diffusion Of Innovation ◽  
Industrial Revolution ◽  
Growth Theory ◽  
Technological Changes ◽  
Policy Makers ◽  
Key Driver ◽  
The Creation ◽  
Evolutionary Growth ◽  
And Diffusion

Abstract The aim of the research in this paper is to analyse the issue of the treatment of the category of technological changes within the main aspects of economic growth theory. The analysis of the key positions of neoclassical theory (Solow), endogenous approach (Romer), and evolutionary growth theory (Freeman) advocates has pointed to the conclusion that these approaches agree on the fact that the category of technological changes is a key generator of economic growth. Neoclassicists were the first to explicitly analyse the category of technological changes in growth theory. They exerted a strong influence on a large number of governments to allocate significant funds for scientific and research development, to stimulate the creation and diffusion of innovation. Supporters of endogenous theory also see the category of technological changes as a key driver of economic growth. Unlike neoclassicists, they emphasise the importance of externalities, in the form of technological spillover and research and development activities, for the creation and diffusion of innovation. Finally, evolutionary and institutional economists explore the category of technological changes inseparably from the economic and social environment in which they are created and diffused. Recommendations of this research can be of particular use to economic growth and development policy makers in the knowledge economy, whose basic and substantial feature is the so-called fourth industrial revolution

scholarly journals Phenomenon of Structural-Technological Proximity and Knowledge Spillovers between Russian Regions

2020 ◽  
Vol 16 ◽  
pp. 1254-1271
Author(s):  
Galina A. Untura ◽  
Maria A. Kaneva ◽  
Olga N. Moroshkina
Keyword(s):  
Economic Growth ◽  
Russian Federation ◽  
Knowledge Spillovers ◽  
Knowledge Spillover ◽  
Spatial Proximity ◽  
Russian Regions ◽  
Economic Activities ◽  
Novosibirsk Region ◽  
The Russian Federation ◽  
The Impact

International theoretical and empirical studies have shown that regional development and economic growth largely depend on spatial and non-spatial proximity of regions, which generates knowledge spillovers. We developed a methodological approach to measuring and visualising spatial and structural-technological proximity affecting regional knowledge spillovers. Moreover, we tested the techniques of the cartographic visualisation of the proximity of Russian regions. Further, we analysed foreign and domestic approaches to studying spatial and non-spatial proximity and obtained new results. We described the stages constituting a methodology for the quantitative assessment of different types of regional proximity. Additionally, we proposed a method for constructing a typology of regions based on the coefficients of the non-spatial proximity matrix, calculated according to the indicator “gross value added” for 15 sectors of the Russian National Classifier of Economic Activities (OKVED) for Russian regions. Using the data for the Novosibirsk region in 2005 and 2016, we applied methodological techniques for measuring and visualising geographical and structural-technological proximity (STB) of a region in relation to other constituent entities of the Russian Federation. The Novosibirsk region is located in the middle of the country and has a diversified structure of economic activities and science. For this particular region, there has been an increase in the likelihood of the emergence of knowledge spillover channels with various European regions of Russia and some regions of the Urals and the Far East. Proximity matrices can be used in econometric studies to test hypotheses about the impact of different forms of proximity on regional economic growth. Recommendations to enhance knowledge spillover coincide with the proposals to support the areas of innovative development stated in The Strategy of Spatial Development of the Russian Federation for the period until 2025.

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