Robustness Test of Intelligent Development Evaluation System Using Alternative Explanatory Variables

In order to conduct a robustness test, alternative explanatory variables were introduced. Specifically, the entropy weight method was utilized in the benchmark regression of the comprehensive evaluation system for intelligent development, while both vertical and horizontal methods were employed in this section. The regression outcomes are presented in columns (1) and (2) of Table 4. Additionally, data on enterprise-level intelligence development was obtained from the 'Enterprise Query' platform through the use of Python crawler technology. Relevant information pertaining to intelligent technologies, such as 'intelligence', 'cloud', 'data', 'Internet', and 'machine learning', was extracted from the 'business scope' and 'company name' columns. The quantity of intelligent enterprises in each city was then used as a metric for measuring intelligent development, with the results presented in columns (3) and (4).