石家庄学院学报

数字经济核心企业是数字经济发展的基本单元，提升其全要素生产率是促进数字经济高质量发展的重要途径。基于2003—2022年A股上市的数字经济核心企业数据，分别运用OLS、FE、OP、LP、GMM法估计全要素生产率，在此基础上分析全要素生产率时空演变趋势和异质特征，进行收敛性检验。研究发现：OP、LP和GMM法估计结果具有可比性，以这三种方法估计的数字经济核心企业全要素生产率介于5～7之间，呈现波动上升趋势，2015年以来增幅明显；东部地区数字经济核心企业全要素生产率高于中西部地区，数字产品服务业全要素生产率高于其他细分行业；数字经济核心企业全要素生产率存在绝对β收敛和条件β收敛，全国和地区样本存在σ收敛，但不存在行业间的σ收敛；西部地区和数字要素驱动业全要素生产率具有更高的收敛速度。未来可通过持续释放政策红利、适度平衡区域发展差距、优化数字经济结构等措施来促进全要素生产率提升，进一步推动数字经济高质量发展。

The core digital economy enterprises are the fundamental units for the development of the digital economy, and improving their total factor productivity is an important way to promote high-quality development of the digital economy. Based on the data of core digital economy enterprises listed on the A-share market from 2003 to2022, OLS, FE, OP, LP, and GMM methods are used to estimate total factors productivity. On this basis, the spatiotemporal evolution trend and heterogeneous characteristics of total factor productivity are analyzed, and convergence tests are conducted. The research discovers that the estimation results of OP, LP, and GMM methods are comparable and the total factor productivity of digital economy core enterprises estimated by these three methods ranges from 5 to 7, showing a fluctuating upward trend, with a significant increase since 2015; The total factor productivity of core enterprises in the digital economy in the eastern region is higher than that in the central and western regions, and the total factor productivity of the digital product service industry is higher than that of other segmented industries; The total factor productivity of core enterprises in the digital economy exhibits absolute convergence and conditional convergence, with convergence observed in national and regional samples, but not across industries; The western region and digital factor driven industries have a higher convergence speed in total factor productivity. In the future, measures such as the continuously releasing policy dividends, the moderately balancing regional development gaps, and optimizing the structure of the digital economy can be taken to promote the improvement of total factor productivity and further promote the high-quality development of the digital economy.