Assessing the Impact of Intelligent Development on Human Capital Mismatch: A Quantitative Approach

Initially, the comprehensive evaluation scheme for intelligent development implements the entropy weight method in benchmark regression, and applies vertical and horizontal methods in this segment. The outcomes of regression are displayed in columns (1) and (2) of Table 4. Furthermore, through the utilization of Python crawler technology to explore the enterprise credit information query platform 'Enterprise Query,' the progress of intelligent development at the enterprise level was determined. Specifically, contents related to intelligent technologies such as 'intelligence,' 'cloud,' 'data,' 'Internet,' and 'machine learning' were extracted from the columns of 'business scope' and 'company name.' The tally of intelligent enterprises in each city was employed to gauge the level of intelligent development, and the findings are demonstrated in columns (3) and (4). Based on the regression outcomes, it is apparent that the coefficient of intelligent development has a significant negative effect at the 1% level, affirming that intelligent development ameliorates the incongruity of human capital, corroborating the robustness of the results.