|
In today's era of knowledge economy, knowledge plays an important role in social and economic development, from the experience of developed countries, the development of knowledge on the contribution to economic growth accounted for a dominant position. Talent is a carrier of knowledge, the most important force for economic growth and social progress. Jiangxi people studious, hard knowledge, talented people, but emergency Jiangxi has talent, attract outside talent does not come in, unable to retain the talent of local culture, and due to geographical and historical reasons, Jiangxi Province's economic growth rate is lower than the national average. Therefore, qualitative and quantitative analysis of the environment and human capital talent evaluation Jiangxi Province, and scientific and rational prediction analysis method to study the talent environment, the relationship between human capital and economic growth of Jiangxi Province, has important practical significance. The talent environment from the theoretical level, the paper first discusses the mechanism of action of human capital and economic growth, on this basis, to build a comprehensive evaluation index system set to fit the environment and human capital of Jiangxi Province, talent. Talent Environment and human capital of Jiangxi Province in 1978-2007 data collection, and then using support vector machine, respectively talent environment, human capital and economic growth in the relational model. Then starting from the talent environmental indicators system and human capital index system, the predicted GDP and PGDP value in Jiangxi Province in 2004-2007. Model derived from Jiangxi Province GDP forecast as well as the PGDP value of results were established by comparing the use of SVM and Cobb - Douglas production function method, the SVM model has a more accurate forecast. Innovation of this paper is to: build of Jiangxi Province talents environment index system, adding to the social insurance index, the Criminal defense agency and social education index; applied for the first time support vector based research talent capital, talent, environment and economic growth relationship, compared with the traditional Cobb - Douglas production function method and obtained the support vector machine model with better prediction. In this paper, a method of combining both qualitative and quantitative, theoretical and empirical, talent evaluation and analysis of the environment and human capital, and the mechanism of economic growth, provide strong theoretical and technical support for the government macro-control decisions.
|