| In recent years, with the rapid development of Chinese economy, national technological innovation capability has been remarkably improved. As a developing country at the stage of transition, China has significant variance of innovation capacity between regions. So it is not suitable to analyze technological innovation only at national level. The study of innovation at regional level is not only the hot spot of researchers, but also has significance for innovation policymaker. In this context, the paper studies technological distribution in the regions of China, especially patterns and degrees of regional technological specialization of different provinces by literature research, statistical analysis and econometrics models. The following is the main achievements of this dissertation:Firstly, regional patterns of technological specialization are compared and analyzed, based on Revealed Technological Advantage index (RTA) constructed on the data of granted invention patents in China. There are significant differences in patterns of technological specialization among provinces, and differences among better developed provinces in East China are far greater than those in Midwest. Guangdong province and Beijing city enjoy better capability to grasp the technological opportunity, and the opportunity varies among technological sectors which is the result analyzed through correlation analysis upon the index constructed by the data of patent growth rates.Secondly, the distribution of technology in different regions are analyzed. All provinces can be classified into several different categories according to their patterns of technological specialization through K-means cluster analysis and multi-dimensional scaling method, and the same result can be obtained through either of the two methods. The distributions of technology have notably changed in Hubei, Jilin, Gansu, Jiangsu and Zhejiang provinces after China joined WTO. Through correlation analysis between patterns of technological specialization of provinces, it is found that some provinces or cities, including Beijing, Shanghai, Jiangsu, Fujian, Guangdong, Hubei and Shaanxi, have major difference with most other provinces which enjoy great similarities in technological distribution before China joined WTO. And Guangdong is the only province which has technology advantage in information and communication technology sector after China entering WTO.Thirdly, in order to test the path-dependent theory, the stability of regional technology distribution are studied. The transition and stability of pattern and degree of technological specialization are analyzed among China provinces using Galtonian regression model. The result shows that patterns of the majority of China provinces are stable, and the stability is more significant with shorter time interval. In most provinces, both the national and global technological convergence degrees first increase and then decrease. Technological concentration had no obvious tendency during year2000to2004, but it decreased in most provinces during year2005to2008,Fourthly, the relationship of technology life cycle and distribution, and relationship of the degree of technological specialization and scale are studied. All technology sectors can classified into four categories, leading technology, pervasive technology, mature technology and lock-in technology by technological concentration and opportunities based on China patents data. According to the similarity of revealed technological advantage index in the four technology categories,29provinces can be classified into four groups through multi-dimensional scaling analysis. Beijing, Shanghai and Guangdong provinces have technological advantage in leading and pervasive technology, while Jiangsu and Zhejiang provinces concentrate their technology capacity in mature technology. And other eleven provinces have technological advantage only in lock-in sector, with the rest thirteen focusing in mature and lock-in sectors. The relationships between the degrees of regional technological specialization, which is identified the degree of concentration and the degree of convergence and the scale of technology and economics in China are studied by regression models. There is a consistent inverse relationship between the scale of regional technology and economy and the degree of concentration and convergence. The U-shaped relationship between the convergence and the technology scale is found, which can not be found between the concentration and the scale. There are significant positive relationships among all indicators of the degree of concentration and convergence.Finally, the impact of ICT (Information and Communication Technology) technological specialization degree and technology capacity upon China economic growth is studied. The negative long-term relationships between ICT technological specialization degree and technology capacity and GDP are found by employing the newly developed autoregressive distributed lag (ARDL)-bounds testing approach, which means the development of ICT may hinder GDP and technology growth. Meanwhile, there is U-shaped relationship between technological specialization and GDP, as well as technology capacity and GDP, which has a critical point emerging in2001-2003. After increased over this point, technology capacity and the degree of technological specialization GDP will boost economic development. The results shows that there exits productivity paradox in China,... |
PDF Full Text Request