【摘要】 深刻的数字化转型是当前经济社会最重要的特征之一，这也激发了国内学术领域的数字经济研究热潮。然而，目前数字经济学术研究也暴露出几个亟须反思的突出问题：研究对象“大而全”且测度过于宏观、研究视角未能凸显数字经济核心特征、研究数据和研究技术未能紧跟前沿。针对上述问题，本文总结了数字经济研究范式的主要变革路径：在研究对象上从“大而全”向“小而精”进行精细化转型；在研究视角上以数字经济的核心特征揭示数字经济时代经济社会关系的新变化；在研究数据上广泛使用数字经济深度渗透产生的多源大数据；在研究技术上拥抱人工智能前沿技术方法助力实证研究。利用数字经济渗透产生的大数据和人工智能等新技术，从数字经济的核心特征去考察与分析经济社会关系在某种数字经济影响下发生的新变化，是最理想的数字经济研究范式。更多还原

【Abstract】 Profound digital transformation is one of the most significant features of the current economic society, which has also ignited a surge of academic research in the digital economics in China. However, there are several prominent issues that need to be reflected upon in the current related research: overly macroscopic indicator measurement, excessive focus on “big and comprehensive” research objects, failure to highlight the core characteristics of the digital economics in research perspectives, and lagging behind in research data and techniques.To address these issues, future research should focus on the following areas: transforming from “big and comprehensive” to “small and precise” in research objects, revealing the new changes in economic and social relationships in the digital economy era through the core characteristics of the digital economics in research perspectives; widely using multi-source big data deeply penetrated by the digital economy in research data; and embracing cutting-edge technical methods to support empirical research in research techniques. Utilizing the big data and new technologies such as artificial intelligence generated by the penetration of the digital economy, and examining and analyzing the new changes in economic and social relationships under the influence of the digital economy from the core characteristics of the digital economics, is the most ideal research paradigm for the digital economics.更多还原