To ensure the reliability of the findings, a re-regression was conducted after replacing the explanatory variable. The benchmark regression for the comprehensive evaluation system of intelligent development employed the entropy weight method, incorporating both vertical and horizontal methods. The regression results are presented in columns (1) and (2) of Table A2. Furthermore, the identification of intelligent development at the enterprise level was conducted through the "Enterprise Cha Cha" enterprise credit information query platform, utilizing Python crawler technology for keyword fuzzy matching queries on the "business scope" and "company name" scope columns, with a focus on contents related to intelligent technology such as "intelligence", "cloud", "data", "internet", and "machine learning". The number of intelligent enterprises in each city was then utilized to measure the level of intelligent development (Intelligent_firm), with the results presented in columns (3) and (4). The regression analysis revealed a significantly negative coefficient for intelligent development at the 1% level, indicating a reduction in human capital misallocation as a result of intelligent development, thus confirming the robustness of the results

请把下面这句话改写的学术一点Replacing the explanatory variable and conduct re-regression to ensure the reliability of the results First the comprehensive evaluation system of intelligent development adopts entropy

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