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Competitiveness of Chinese High-Technology Industry

Author: WangHui
Tutor: GaoJianGuo
School: Tianjin University of Finance and Economics
Course: Statistics
Keywords: High-tech industry competitiveness BP neural network Index system Key factors
CLC: F276.44
Type: Master's thesis
Year: 2010
Downloads: 142
Quote: 2
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Abstract


The 21st century is a knowledge-based era dominated by the economy and technology, science and technology are primary productive forces. High-tech has become one of the combination of the factors of production is the main content and one of the hallmarks of contemporary state-of-the-art productivity. High-tech industry as a pillar industry of the knowledge-based economy, the leading role in the economic growth has become more evident. Many countries, especially developed countries and newly industrialized countries are increasingly high-tech industry instead of the traditional industries as the backbone of the national economy, high-tech industry to enhance the competitiveness regarded as the country's important strategic task. Although China has been among the country out of the world's high-tech industry, but still there is a lack of innovative capacity, uneven development of various industries. How to better and more accurate evaluation of the competitiveness of China's high-tech industry, how to solve these problems become the primary task of the high-tech industry competitiveness Therefore, under the guidance of the economic theory, the paper established a comprehensive index system, comprehensive evaluation technology industrial competitiveness. Learn and absorb the research foundation, to build a line with the laws of economics, reflecting China's high-tech industrial competitiveness evaluation index system. Expand research methods, data over the years, high-tech industry, the BP neural network model of high-tech industry competitiveness evaluation index system of empirical analysis, identification of high-tech industry competitiveness a key factor, from the point of view of the key factors the competitiveness of the high-tech industry a comprehensive evaluation. Factors have a greater impact on five high-tech industrial competitiveness and to a certain extent. BP artificial neural network specializes in approximate, uncertain knowledge to make decisions, solve the artificial weight design and calculation of the correlation coefficient, more suitable for incomplete address information encountered in the evaluation of industrial competitiveness, more analysis of indicators as well as some of the indicators between the nonlinear problem. Therefore, compared with other methods, the BP artificial neural network to recognize and judge high-tech industry competitiveness superiority. Through Evaluation and demonstration of high-tech industrial competitiveness, draw and shortcomings of China's high-tech industry's competitiveness. Departure from the empirical results, and make recommendations to eliminate the lack of better policies and recommendations to improve the competitiveness of China's high-tech industry.

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CLC: > Economic > Economic planning and management > Enterprise economy > A variety of enterprise and economic > Joint enterprise economy > High-tech enterprises
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