Dynamic Correlation between Human Capital and Regional Economic Growth Based on Data Mining Technology

Abstract

Human capital, as the most active factor in production, has great economic value. This makes the importance of human capital as the carrier of knowledge rise to unprecedented height. Based on the sample data, this paper uses unit root test, cointegration test and error correction model (ECM) to determine that the time series of China's gross domestic product (GDP), total capital formation and total employment population are all trend stationary processes with first-order difference. By calculating the value stock of regional human capital in China, this paper analyzes the correlation between it and the level of regional economic development. Thus reveals the contribution of human capital differences to regional economic differences. This paper proves that there is a cointegration relationship among economic growth, capital formation and employment population. At the same time, this paper uses the error correction model and dynamic correlation coefficient to study the dynamic correlation between China's economic growth, capital formation and employees. The results of this paper have a certain reference value for the research on the dynamic correlation between human capital and regional economic growth based on data mining technology.