摘要
数字化转型已成为企业保持竞争力的必要条件。选取沪深两市A股上市能源企业的面板数据,利用企业年报文本识别方法刻画数字化转型的强度,实证检验了数字化转型对能源企业全要素生产率的影响效应。研究表明,数字化转型有效促进能源企业的全要素生产率提升。就不同能源企业而言,数字化转型对能源企业全要素生产率的驱动效果具有较强的非对称性。具体而言,数字化转型对国有企业、成长型企业、成熟型企业以及东部地区企业全要素生产率的促进作用得到了更充分的释放。
Digital transformation has become a necessity for enterprises to maintain their competitiveness.Based on a sample of Shanghai and Shenzhen A-share listed energy enterprises,this paper uses the method of text recognition of enterprises'annual reports to portray the intensity of digital transformation and empirically examines the relationship between digital transformation and energy companies'total factor productivity.The findings show that digital transformation can significantly boost the total factor productivity of energy enterprises.The driving effect of digital transformation on the total factor productivity of energy firms has a strong asymmetric character for different firms.Specifically,the boosting effect of digital transformation on the total factor productivity of state-owned enterprises,growing and mature firms and eastern firms is more fully released.
作者
任阳军
田泽
刘超
任芳容
REN Yang-jun;TIAN Ze;LIU Chao;REN Fang-rong(School of Economics and Trade,Changzhou Vocational Institute of Textile and Garment,Changzhou Jiangsu 213164,China;Jiangsu Institute of Costume Culture,Changzhou Jiangsu 213164,China;Business School,Hohai University,Nanjing Jiangsu 210098,China;School of Public Management,Hohai University,Nanjing Jiangsu 210098,China;Business School,Nanjing University,Nanjing Jiangsu 210008,China)
出处
《技术经济与管理研究》
北大核心
2024年第1期96-101,共6页
Journal of Technical Economics & Management
基金
2023年度江苏省“青蓝工程”优秀青年骨干教师资助项目
江苏省高等学校基础科学(自然科学)研究面上项目(23KJD630001)
国家社会科学基金后期资助项目(21FJYB047)
江苏省高校哲学社会科学研究重大项目(2022SJZDA083)。
关键词
数字化转型
能源企业
全要素生产率
文本识别
Digital transformation
Energy companies
Total factor productivity
Text recognition