Research On The Innovation Capability Of China’s High-tech Industry Based On The EMD Method

High-tech industry innovation ability is an important part of high-tech industry. The level of high-tech industry innovation efficiency and the size of high-tech industry innovation capability will not only directly affect the development pace of China’s high-tech industry, but also indirectly affect the whole society’s economic development. In the last20years, China’s high-tech industry has made significant progress, the development of high-tech industry innovation has played a significant role, and its influence is self-evident. However, with the continuous development of China’s high-tech industry, problems related with innovation and high-tech industries emerge, low innovation efficiency, big innovation efficiency differences among different places, unbalanced resources distribution, these problems will undoubtedly affect the development of high-tech industries, which is urgently to be addressed. The high-tech industry Innovation is important to promote high-tech industrial development as well as China’s economic growth. As China’s status continues improving in the world, enhancing high-tech industry innovation capability draws more attention from government and enterprises. However, China is vast in geography and there are big differences among regional economy, natural environment, resource distribution and welfare benefits, high-tech industry innovation capability efficiency may become low due to the low efficiency of resources allocation.For these reasons, using the theoretical and empirical analysis methods, this paper analyzes the volatility of China’s high-tech industry innovation ability growth as well as the innovation capability changes in different regions. Based on the objective results, we can not only present the high-tech industry innovation capability multi-scale fluctuations and changes in different regions, but also provide new ideas to related problems as well as enrich research in related fields.First, in the theoretical analysis part, this article briefly describes the different definitions about high-tech industry in different countries, then introduces several popular kinds of high-tech industry development theories and innovation theories; followed by the domestic and foreign relevant research literatures about high-tech industry innovation indicators system, innovation capability and innovation efficiency, theoretically analysis the research status about the high-tech industry innovation capability and the problems that may exist in the studies, on the other hand, this paper also provides a theoretical basis for the empirical study below.Secondly, in the empirical analysis part, this paper uses the empirical mode decomposition method, sample data come from1996-2013"China Statistical Yearbook","China Statistical Yearbook of high-tech industry"," Chinese statistical yearbook on science and technology " and related websites; Based on extensive literature reference, the paper selects two first-level indicators, four second-level indicators, six third-level indicators to reflect China’s high-tech industry innovation ability, analyzes the volatility of China’s high-tech industry innovation capability growth. Then using the high-tech industry R&D staff of full-time equivalent proportion as the weight, the paper introduces area weighted coefficient of variation of the high-tech industry innovation capability for multi-scale analysis. The empirical results are as follows:(1) In the year1995-2012, in addition to the R&D staff full-time equivalent number growth rate and the valid invention patents growth rate are decomposed into three IMF components and one residual trend component, the remaining four third-level indicators can be decomposed into two IMF trend components and one residual trend component. The average main period of the six secondary indicators are fluctuating nearby2.0years. This shows that these indicators are subjected greater to short-term factors, whether it is innovation input or innovation output.(2) From the trend of the residual trend component, in the next period of time, the growth rates of China’s high-tech industry R&D expenditure, R&D staff full-time equivalent number, new product development expenditure will stabilize, and the high-tech industry new products sales revenue growth rate and the valid invention patents growth rate will continue growing, but the growth rate of new product output preached a downward trend.(3) For the regional differences, the weighting coefficient of variation series of six third-level indicators can be decomposed into two IMF components and one residual trend component, and the periods for each IMF1component are fluctuating nearby2.2years. Moreover, for each of the weighting coefficient of variation series, The variance contribution rate of the residual trend component is far greater than the variance contribution rates of IMF1component and IMF2component, then we can consider that the residual trend component approximately determine the trend of weighting coefficient of variation trends in the future, which indicate high-tech industry innovation capability changes trends about the regional differences. In addition, the regional differences of high-tech industry innovation capability are greatly influenced by in long-term factors.Finally, on the basis of empirical analysis, this paper analyzes the results in a whole and put forward some proposals appropriately to improve high-tech industry innovation capability and reduce the regional differences about innovation capability. In the end of this paper, several shortcomings are proposed.