scholarly journals How much does regional integration contribute to growth? An analysis of the impact of domestic market integration on regional economic performance in China (1997–2011)

2019 ◽  
Vol 32 (1) ◽  
pp. 3189-3210
Author(s):  
Tao Hong ◽  
Nannan Yu ◽  
Servaas Storm ◽  
Bo Gao
Keyword(s):  
Economic Performance ◽  
Regional Integration ◽  
Market Integration ◽  
Domestic Market ◽  
Regional Economic ◽  
Regional Economic Performance ◽  
The Impact

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.

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.”

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