Abstract: This study delves into the overall differences, regional differences, and dynamic evolution trends of interprovincial government data openness in China, with the aim of narrowing these differences, promoting balanced development in government data openness, and accelerating the digital transformation of government. Based on the Chinese Government Data Openness Evaluation Reports, the study employs the panel entropy method to calculate the comprehensive index of government data openness and four sub-dimensional indices across 21 provinces. Additionally, the study utilizes the Dagum Gini coefficient and Kernel Density Estimation to analyze the regional differences and evolution trends of government data openness across different regions. The findings reveal that the level of government data openness in China is on the rise, with significant and gradually widening regional differences. The differences across the four sub-dimensions vary, and except for the western region, the absolute differences between the eastern and central regions are expanding. This study innovatively applies the Gini coefficient to the theme of government data openness and equilibrium and integrates the entropy method, Dagum Gini coefficient, and Kernel density estimation to provide a progressive and comprehensive analysis of the overall differences, regional disparities, and future evolution dynamics of government data openness.

Key words: Digital government, Open government data, Regional differences, Dynamic evolution