Innovations and Regional Development: Human Capital and Knowledge Transfer as Driving Forces for Spatial Clustering in the Semiconductor Industry of East Germany

Author(s):  
Michael Plattner
Author(s):  
Can Cui ◽  
Yifan Wang ◽  
Qiang Wang

AbstractHuman capital has been acknowledged as a key driver for innovation, thereby promoting regional economic development in the knowledge era. University graduates from China’s “first-class” universities—the top 42 universities, included in the “double first-class” initiative, are considered highly educated human capital. Their migration patterns will exert profound impacts on regional development in China, however, little is known about the migration of these elite university graduates and its underlying driving forces. Using data from the 2018 Graduate Employment Reports, this study reveals that the uneven distribution of “first-class” universities and regional differentials largely shaped the migration of graduates from the university to work. Graduates were found aggregating in eastern first-tier cities, even though appealing talent-orientated policies aimed at attracting human capital had been launched in recent years by second-tier cities. Employing negative binomial models, this study investigates how the characteristics of the city of university and destinations affect the intensity of flows of graduates between them. The results showed that both jobs and urban amenities in the university city and destination city exert impacts on the inflow volume of graduates; whereas talent attraction policies introduced by many second-tier cities are found not to exert positive effects on attracting “first-class” university graduates presently. The trend of human capital migration worth a follow-up investigation, particularly given ongoing policy dynamics, and would shed light on the regional development disparities in China.


2020 ◽  
Vol 12 (12) ◽  
pp. 5128
Author(s):  
Tsung-Chun Chen ◽  
Yenchun Jim Wu

Knowledge transfer is a strategy used by high-tech companies to acquire new knowledge and skills. Knowledge can be internally generated or externally sourced. The access to external knowledge is a quick fix, but the risks associated with reliance on external sources are often overlooked. However, not acquiring such knowledge is even riskier. There have been a slew of litigations in the semiconductor industry in recent years. The acquisition and assurance of intangible assets is an important issue. This paper posits that internal R&D should take into consideration the knowledge intensity and capital investment in the industry. This study focuses on the relationship between intangible assets and financial performance. It sourced the 2004 to 2016 financial data of semiconductor companies in Taiwan for panel data modeling and examined case studies for empirical validation. This study found that the higher the R&D intensity (RDI) in the value-added component of human capital, the better the financial performance of the company. RDI has a positive influence on the accumulation of human capital and financial performance metrics, and such influence is deferred. Meanwhile, human capital is a mediating factor in the relationship between RDI and financial performance. RDI is integral to the semiconductor industry’s pursuit of business sustainability.


2015 ◽  
Author(s):  
Marcos Sanso-Navarro ◽  
Marra Vera-Cabello ◽  
Domingo P. Ximmnez-de-Embbn

Spatium ◽  
2015 ◽  
pp. 10-17
Author(s):  
Slobodan Cvetanovic ◽  
Milorad Filipovic ◽  
Miroljub Nikolic ◽  
Dusko Belovic

The numerous versions of endogenous explanations of economic growth emphasize the importance of technological change driving forces, as well as the existence of appropriate institutional arrangements. Endogenous growth theory contributes to a better understanding of various experiences with long-term growth of countries and regions. It changes the key assumptions of the Neoclassical growth theory and participates in the modern regional development physiology explanation. Based on these conclusions, the paper: a) explicates the most important theoretical postulates of the theory, b) explains the most important factors of economic growth in the regions in light of the Endogenous growth theory messages and c) emphasizes the key determinants of regional competitiveness which in our view is conceptually between the phenomena of micro- and macro-competitiveness and represents their necessary and unique connection. First of all, micro-competitiveness is transformed into a regional competitiveness; then regional competitiveness is transformed into a macro-competitiveness. In turn, macro - influences the microeconomic competitiveness, and the circle is closed. After that, the process starts over again.


2011 ◽  
Author(s):  
Nicola Gennaioli ◽  
Rafael La Porta ◽  
Florencio Lopez-de-Silanes ◽  
Andrei Shleifer

2022 ◽  
Author(s):  
Claude Diebolt ◽  
Ralph Hippe

Author(s):  
Kijpokin Kasemsap

This chapter indicates the overview of Knowledge Management (KM); KM and innovation; KM and human capital; KM and social capital; KM and Human Resource Management (HRM); the significant perspectives on KM; and the advanced issues of knowledge transfer, knowledge sharing, and knowledge mapping. KM is the advanced method toward better organizational performance through knowledge transfer and knowledge sharing, and involves various organizational factors, such as people, process, technology, and culture. Utilizing KM can enhance the execution of innovation, human capital, social capital, decision making, and HRM in modern organizations. Regarding KM perspectives, creating and distributing new knowledge through effective knowledge transfer and knowledge sharing have the potential to increase organizational performance and gain sustainable competitive advantage in the knowledge era.


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