Exploring the Promotion Mechanism of Innovative Human Capital Flows for Sustainable Economic Growth in China Based on Machine Learning Perspective

Abstract

Under the situation of China’s economic development, the sustainability of innovative human capital flows on economic growth is closely related to the state of future economic growth. Based on the analysis of innovative human capital flows, the article measured the stock of human capital flows by combining the expenditure method and also measured the quality index of China’s sustainable economic growth by using the PPM-RAGA model. Based on the data from 30 provinces and cities in China from 2012 to 2022, a spatial econometric model was designed to analyze the impact mechanism of innovative human capital flows on China’s sustainable economic growth and a spatial autocorrelation test was carried out. There was a significant difference in the overall flow of innovative human capital from 2012 to 2022, and the quality index of sustainable economic growth increased from 1.812 to 2.137, with the quality index of sustainable economic growth increases from 1.812 to 2.137, with an increase of 17.94%. There is an obvious global spatial autocorrelation of sustainable economic growth, and every 1% increase in the flow of innovative human capital leads to 0.141% sustainable economic growth in China. The flow of innovative human capital not only promotes the economic growth of the region but also leads to knowledge and technology spillovers that promote the economic growth of neighboring regions.

Keywords

• ppm-raga model
• spatial econometric model
• spatial autocorrelation test
• human capital flow
• 68p30