Innovation efficiency of high-tech industries in China.
PhD thesis, University of Nottingham.
A measurement of technical innovation efficiency reflects the competitiveness of the high-tech industry for a region or a country. The high-tech industry, which appears at the forefront of technology and scientific research, provides a country with a certain competitive advantage. Many developed countries such as the USA, UK, Germany and France, have used the high-tech industry as a means to emerge on the technological frontier. Many developing countries such as China and India have developed high-tech industries, and are home to many leading product manufacturers. However, innovation efficiency is important, since it explains the efficiency of the high-tech industry in consuming resources and providing outputs. This dissertation examines the innovation efficiency of the high-tech industry in China. The Data Envelopment Analysis (DEA) method was used to study and analyse panel data. The study focused on 28 high-tech provinces of China (DMUs, DMU: Decision Making Unit), during the years 2005-2011, along with 5 industry categories and 17 industries. Different datasets were obtained to measure the input and output indices. Variables included in the inputs index included the number of full time R&D (Research and Development) personnel, internal expenditure on R&D, expenditure on new product development, and investment in fixed assets. The output index included the number of patent applications, the output value of new products, and sales revenue for new products.
The Malmquist index was calculated using static data analysis cases using Deap2 software in both cases. Several tests were employed in the analysis of the data, including the KS Test (Kolmogorov-Smirnov Test), T test (Student's t test), integral analysis, SE efficiency analysis, project analysis, total factor productivity and others. The findings indicate that the M index is unstable across the 29 provinces, and 17 industries. The Malmquist index of each DMU changes in different degrees during the 7 years. In addition, the changes have no pattern, they go from descending to rising and then declining again, or from rising to descending and then rising again. The reasons for the unstable M index were evaluated, and it becomes evident that several factors such as a total factor productivity variation, EC, TC degradation, excessive man power resources that increased the input costs. Another factor that makes the M index unstable is that many of the inputs for China were obtained from western regions, with little original research. The study also examined the STP (Science and Technology Policy) policy of the developed western countries, BRIC nations, and China, and the areas for improvement were identified. The study has made several recommendations to improve the STP policy, and for the high-tech industry to increase the innovation efficiency.
Thesis (University of Nottingham only)
||H Social sciences > HC Economic history and conditions
||UK Campuses > Faculty of Social Sciences, Law and Education > School of Contemporary Chinese Studies
||18 Jul 2016 06:40
||17 Sep 2016 19:15
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