The Impact of Intelligent Development on Human Capital Misallocation: A City-Level Analysis
Given the heterogeneous impact of intelligent development on human capital mismatch in the context of economic development, this study evaluates the economic development of cities based on two indicators: population size and per capita output value. The samples are classified into various categories based on these indicators, including small and medium-sized cities, big cities, super-large cities, and super-cities, as well as underdeveloped and developed cities based on per capita GDP. The results, as presented in Table 4, reveal that intelligent development is more effective in reducing human capital misallocation in small and medium-sized cities and underdeveloped cities. The key factor contributing to this reduction is the improvement of intelligent infrastructure, which is the most prominent factor. Specifically, for every 1% increase in intelligent infrastructure, the human capital misallocation in small and medium-sized cities will decrease by 1.25% and that of underdeveloped cities by 0.46%. Moreover, intelligent application can also improve the human capital misallocation in small and medium-sized cities and positively impact developed cities.
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