Societal impact of university innovation

2018 ◽  
Vol 41 (11) ◽  
pp. 1309-1335 ◽  
Author(s):  
Benjamin Yeo
Keyword(s):  
Economic Performance ◽  
Significant Proportion ◽  
Economic Data ◽  
Regional Economic ◽  
Content Type ◽  
Economic Productivity ◽  
Multiple Variables ◽  
Regional Economic Performance ◽  
The Impact ◽  
University Patent

PurposeThis study aims to use university patent and regional economic data to investigate the current and future impact of university innovation, measured using multiple variables, on real economic productivity.Design/methodology/approachUsing university patent and regional economic data, regression models are built to determine the impact of university innovation on current and future regional economic performance.FindingsThe findings demonstrate that university innovation generates sustained impact on economic performance, but by itself, is insufficient in driving economic performance; and different measures of university innovation have different degrees of impact. University innovation makes up a small, albeit significant, proportion of the drivers of economic performance.Research limitations/implicationsThere are four implications. First, developing countries can leverage university–industry collaborations for economic growth. Second, innovation management must encourage continuous university innovation for sustainable economic productivity. Third, Science, Technology, Engineering and Mathematics (STEM) and non-STEM innovation warrant attention. Fourth, successful innovation policies should be tailored to their unique societal contexts.Originality/valueAlthough innovation is a driver of economic performance, there is a lack of studies that focus specifically on universities, operationalize performance using gross domestic product measures and take into account impact lags by exploring universities’ current and future impacts.

scholarly journals Tracing the Spatial Patterns of Innovation Determinants in Regional Economic Performance

2020 ◽  
Vol 23 (4) ◽  
pp. 87-108
Author(s):  
Alicja Olejnik ◽  
Agata Żółtaszek
Keyword(s):  
Economic Performance ◽  
Degrees Of Freedom ◽  
Economic Status ◽  
Regional Economic ◽  
Technology Acquisition ◽  
Panel Model ◽  
Regional Economic Performance ◽  
The Impact ◽  
Country Specific ◽  
Socio Economic Factors

In this paper, we investigate innovation factors and their role in regional economic performance for a sample of 261 EU NUTS 2 regions over the period 2009–2012. In our study, we identify regions with spillover as well as drain effects of innovation factors on economic performance. The spatial analysis indicates that both regional innovativeness and regional development are strongly determined by the region’s location and “neighbourhood”, with severe consequences for Central and Eastern Europe. We assessed the impact of innovation factors and their spatial counterparts on economic performance using a spatial Durbin panel model. The model is designed to test the existence and strength of the country‑effect of innovativeness on the level of regional economic status. This allows for controlling the country‑specific socio‑economic factors, without reducing the number of degrees of freedom. Our model shows that regions benefit economically from their locational spillovers in terms of social capital. However, the decomposition of R&D expenditures revealed competition effect between internal R&D and external technology acquisition, favouring in‑house over outsourced research.

Economic Performance and Turnout in Regional Perspective

2017 ◽  
Author(s):  
André Förster ◽  
Malte Kaukal
Keyword(s):  
Economic Performance ◽  
Regional Economic ◽  
Unemployment Rates ◽  
Regional Unemployment ◽  
Economic Threat ◽  
Negative Effect ◽  
Research Gap ◽  
Regional Economic Performance ◽  
The Impact ◽  
Contextual Setting

Following the idea that the behavior of individuals is framed by their contextual setting, this chapter tackles the persistent research gap regarding the impact of regionally varying economic performance on individual turnout. By looking at German districts and applying a multilevel design, we analyze the interplay of an individual’s characteristics and the regional economic performance regarding the decision to cast a vote. Results do not show a direct effect of regional economic performance in the data for 2009 and 2013, but high regional unemployment rates enforce the negative effect of individual unemployment on turnout in the German federal election in 2009, in the middle of the European economic crisis. Additionally, we find evidence that during this crisis election in 2009, East Germans seem to be more susceptible to economic threat scenarios than West Germans, as the former tend to withdraw from voting when regional unemployment rates are high.

scholarly journals Regional economic performance and the differential prevalence of corporate and family business

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zografia Bika ◽  
Peter Rosa
Keyword(s):  
Family Business ◽  
Economic Performance ◽  
Family Firms ◽  
Regional Distribution ◽  
Empirical Work ◽  
Family Firm ◽  
Point Of View ◽  
Regional Economic ◽  
Content Type ◽  
Regional Economic Performance

Purpose Previous studies have largely examined interregional variations of small and medium-sized enterprise (SME) rather than family firm concentrations. This paper aims to address this gap through an analysis of firm type indicators across Europe from the Eurostat database, using social, economic and demographic statistics at the NUTS 2 regional level to ascertain the nature, prevalence and regional contexts of family firm concentrations. Design/methodology/approach Hierarchical clustering is performed to map the regional distribution of the European family business. Findings Results show that the co-existence of family SMEs with large firms is negatively related to regional economic performance, and this variation has implications for the understanding of the survival and strategic behaviour of family firms. Originality/value The study promotes a new family business “in context” than “by context” point of view and paves the way for further empirical work with interregional family business data at various spatial levels.

Illusions of Clustering: A Systematic Evaluation on the Effects of Clusters on Regional Economic Performance in Korea

2021 ◽  
pp. 016001762110187
Author(s):  
Hyunha Shin ◽  
Junseok Hwang
Keyword(s):  
Economic Growth ◽  
Economic Performance ◽  
Local Governments ◽  
Regression Models ◽  
Regional Growth ◽  
Systematic Evaluation ◽  
Regional Innovation ◽  
Regional Economic ◽  
Pca Method ◽  
Regional Economic Performance

Korea has pursued a cluster-based policy to increase industrial competitiveness and to alleviate development gaps between the regions. However, local governments have often oversupplied clusters without an objective examination of the demands and conditions in the regions. Based on these concerns, this study analyses effects and interdependencies of factors related to regional innovation and growth in Korea. Employing a PCA method and a GLS regression models on panel data, we generated three composite factors, social, capacity, and clustering, and estimated their effects on regional economic performance. The results show that it is important to have a favorable socio-economic setting to foster growth by clusters. In addition, cluster-based policies may have weaker effects than expected, because the effect of R&D capacity on regional growth was stronger and longer lasting. Finally, some specific elements that most affected economic growth in Korea’s regions are identified. The overall results indicate favorable environments should be established beforehand to foster regional growth with clusters, which confirms “jobs follow people.”

scholarly journals Loss aversion, overconfidence of investors and their impact on market performance evidence from the US stock markets

2020 ◽  
Vol 25 (50) ◽  
pp. 451-478
Author(s):  
Ahmed Bouteska ◽  
Boutheina Regaieg
Keyword(s):  
Stock Market ◽  
Economic Performance ◽  
Loss Aversion ◽  
Market Performance ◽  
Ordinary Least Squares ◽  
Company Performance ◽  
Service Firms ◽  
Content Type ◽  
The Us ◽  
The Impact

Purpose The current study aims to investigate the impacts of two behavioral biases, namely, loss aversion and overconfidence on the performance of US companies. First, the impact of loss aversion on the economic performance of companies was assessed. Second, the impact of overconfidence on market performance was discussed. Design/methodology/approach This study used around 6,777 quarterly observations on the population of US-insured industrial and services companies over the 2006-2016 period. Ordinary least squares (OLS) regression in two panel data models were used to test the hypotheses formulated for the study. Findings It was documented that the loss-aversion bias negatively affects the economic performance of companies and this is achieved for both sectors. In contrast, the findings suggest that overconfidence positively affects market performance of industrial firms but negatively affects market performance in service firms. Further robust evidence was found that overconfidence bias seems to be dominant, and hence, investors may tend to be more overconfident rather than more loss-averse. Originality/value This research can be extended by focusing on the following question: What is the impact of the contradictory (positive and negative) effects of an investor's loss aversion and overconfidence on the US company performance in case of realization of a stock market crisis or stock market crash?

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