Given the diverse effects of intelligent development on human capital mismatch in 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 study classifies samples 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. Based on Table 4, we find that intelligent development is particularly effective in reducing human capital misallocation in small and medium-sized cities and underdeveloped cities. The most significant factor in reducing misallocation is the improvement of intelligent infrastructure, such as better infrastructure construction. 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

请把下面改写的学术一点Taking into consideration the heterogeneous impact of intelligent development on human capital mismatch within the context of economic development we assess the economic development of citi

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