Cognition of Regional Economic Growth Based on China's Intellectual Class

Abstract

To understand the cognition of China's intellectual class on economic growth, this paper consulted the related documents and conducted questionnaires in China. A sample of 6,326 talented persons from 16 large and medium-sized cities was selected in a descriptive analysis study. The attitude of talents toward regional economic growth has been assessed by a conceptual pathway model of organizational environmental variables. The collected data is analyzed by the SPSS software package to establish a comprehensive framework model, which can quantitatively analyze the relationship between regional economic growth and its predictors. The relationship can be described as follows: YREG = 0.201XEI + 0.149XTEP + 0.217XPO + 0.148XTE + 0.480XNR + θ or YREG = 0.53XTRE + 0.480XNR + θ. The model suggested that regional economic growth was driven predominantly by talent rooting environment and natural resources. Compared with policy orientation, the talent exchanging platform was profound to pay more attention to the future development of talent. The model also demonstrated that increased education investment plays a pivotal role in China's intellectual class, which will directly or indirectly affect talent development, talent introduction, and the environment for talents to be rooted.