数字经济学术研究的研究选题与研究范式Research Topics and Research Paradigms in Academic Research of Digital Economics
郭峰,曹友斌
摘要(Abstract):
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。
关键词(KeyWords): 数字经济;大数据;人工智能;研究选题
基金项目(Foundation): 国家自然科学基金面上项目(批准号:72473091);; 上海市曙光学者项目(批准号:24SG33);; 上海市社会科学规划课题(批准号:2023ZJB006);; 上海市教委人工智能促进研范式变革赋能学科跃升计划;; 中央高校基本科研业务费专项资金(批准号:CXJJ-2024-349)的资助
作者(Author): 郭峰,曹友斌
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- ① 中国国家统计局等官方部门并未披露过我国数字经济的增加值规模,仅在不同时间点公布过数字经济核心产业增加值数据。例如,根据《“十四五”数字经济发展规划》,2020年我国数字经济核心产业增加值占GDP的比重达7.8%;根据第五次全国经济普查结果,2023年我国数字经济核心产业增加值占GDP的比重为9.9%。因此,本文以中国信息通信研究院的测算结果作为数字经济整体增加值规模的主要参考依据。 (1)检索时间为2025年2月。 (2)以digital economics或digital economy为关键词直接在Web of Science中进行检索,很少能在主流经济学国际权威期刊中检索到这类文献。即使是检索到相关文献,其中的很大部分作者其实也是中国学者。 (3)《数字经济及其核心产业统计分类(2021)》(国家统计局令第33号)。 (4)互联网普及率数据来源于《中国互联网络发展状况统计报告》。