Statistical Modle & Empirical Analysis Of The Optimization Of High-tech Industrial Structure

The development of high-tech industry is becoming one of the key pillars to national competitiveness and is one of the main engines of economic growth. However, recent attention has turned to the structural tensions which are impinging on the high-tech industry's further development in China. The most prominent critique of which has highlighted is the high-tech industrial structure. Or, more specifically, is lack of an organized structure. In light of the role high-tech industry plays in national competitiveness this is particularly concerning. It is hoped this dissertation will contribute to a reassessment of this predicament.Commencing with an overview of both the domestic and overseas high-tech industry structure, this paper analyzes, among other things:industy, R&D, trade, ownership and geographic structure. In order to do this, some basic statistical method, are employed to evaluate the respective strengths and weaknesses.This paper then argues as to the defining characteristics of the optimal high-tech industrial structure. Factors included within this, include:models deciding by Sequencing Advantages of high-tech industries, regional differences, forecasting growth and a inside innovation ability of high-tech industry evaluation. In addition, this paper uses statistical analysis software, R language, to program the modles of the optimization of high-tech industrial structure.Finally, this paper concludes as to the optimal structure of high-tech industry in China in light of all the factors mentioned above and offers verisimilar trajectories for further research.