This study investigates the diverse effects of intelligent development on human capital mismatch within the context of economic development. We evaluate the economic progress of cities based on two key indicators: population size and per capita output value. Our samples are categorized into small and medium-sized cities, big cities, super-large cities, and super-cities based on population size, and underdeveloped and developed cities based on per capita GDP. Our findings, as presented in Table 4, indicate that intelligent development is particularly effective in reducing human capital misallocation in small and medium-sized cities and underdeveloped cities. The improvement of intelligent infrastructure, such as better infrastructure construction, is the most prominent factor in reducing misallocation. We observe that a 1% increase in intelligent infrastructure leads to a 1.25% decrease in human capital misallocation in small and medium-sized cities and a 0.46% decrease in underdeveloped cities. Furthermore, intelligent application can also enhance human capital misallocation in small and medium-sized cities and have a positive impact on developed cities.


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