Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE credits
Since the 21st century, with the further development of globalization, innovation resources came into an open innovation era. Innovation resources can flow freely in a global scale. In the process of flow, innovation resources agglomeration in some cities, makes these cities become the global science and technology innovation center. Innovation has become the most important source of competitive advantage, and building innovative capacity can provide a strong impetus for the comprehensive competitiveness and economic prosperity (Porter & Stern, 2001). Innovation resources agglomeration makes innovation happen continuously, thus makes the global science and technology innovation center becomes the new engine and important support of national comprehensive strength. After two major industrial structure shift, the traditional development advantages are vanishing. The current economic growth of Shanghai is below the national average; the traditional development advantage is gradually weakening. At the same time, China's economy is faced with an L-shaped recession (Lei, 2016). Therefore, to become the global science and technology innovation center is not only necessary for Shanghai’s own transformation and development, but also accordance with the national development strategy. The aim of the Chinese government is to preliminarily finishes the work of develop Shanghai into the global science and technology innovation center during the period of 13th Five-Year Development Plan1 (from 2016 to 2020). Improve the innovation resources agglomeration capacity of Shanghai, and maximum accumulate innovation resources is the key to success.
The existing studies have shown that innovation resources agglomeration has the characteristic of self-organizing, and there is the Matthew effect in this process: the better the innovation foundation, the more obvious the agglomeration effect, and vice versa. This research will from the perspective of the innovation system theory, using DEA method to study the R&D resources utilization efficiency of Shanghai’s industrial enterprises above designated size, demonstrates the deficiencies of Shanghai’s innovation resources agglomeration foundation, and put forward suggestions for improvement.
2016. , 125 p.
Innovation resources agglomeration; R&D resource allocation; DEA; industrial enterprise