在新一轮技术革命时代,数字技术应用成为驱动实体经济提质增效的重要引擎。本文基于中国A股上市公司数据,采用固定效应模型和工具变量法考察数字技术应用对企业生产率的影响效应及机制。研究发现:数字技术应用显著提升了企业全要素生产率,有效破解数字时代的新“索洛悖论”,该结论在内生性处理和其他稳健性检验后依然成立。机制检验发现,数字技术应用通过提高技术创新质量和市场匹配效率,以及降低运营管理成本促进企业全要素生产率提升。异质性分析表明,数字技术应用对服务业企业的生产率提升效应强于制造业企业,对高市场竞争行业内企业全要素生产率的促进作用更明显。数字技术应用会引致高技能、高学历劳动力的需求增加,同时人力资本结构的优化强化了数字技术应用的生产率提升效应。本文有助于深化认识企业突破新“索洛悖论”的现实路径,为借助数字技术融合应用提质增效,赋能企业高质量发展提供经验证据和现实依据。
Abstract
In the era of the new round of technological revolution, digital technology application has become an important engine to drive the quality and efficiency of the real economy. Based on the data of A-share listed companies in China from 2009 to 2019, this paper used the fixed effects model and instrumental variables approach to examine the effect and mechanism of digital technology application on enterprise productivity. In the research design, we used the Python crawler technology to extract the relevant word frequencies of enterprises′ digital technology application from annual reports, used text analysis to sum up all the relevant word frequencies of digital technology application, and adopted the proportion of word frequencies of digital technology application to the total number of word frequencies in the annual reports to measure the level of enterprises′ digital technology application.The study found that digital technology application has significantly improved enterprises′ total factor productivity and effectively cracked the new "Solow paradox" in the digital era. This conclusion remains sound after robustness tests such as endogeneity treatment, substitution of key variable measures, and exclusion of explanations for strategic behavior. The mechanism test found that the digital technology application promoted enterprises′ total factor productivity by improving the technological innovation quality and market matching efficiency, as well as reducing the operation and management costs. Heterogeneity analysis showed that digital technology application has a stronger productivity improvement effect on service than manufacturing enterprises, and it also has a more obvious promotion effect on industries with high market competition. Digital technology application increased the demand for highly skilled and educated workers, and human capital structure optimization will strengthen the productivity improving effect of digital technology application. This paper will help to deepen the understanding of the realistic path of enterprises to break through the new "Solow paradox", and it will provide some empirical evidence and practical basis for the integration and application of digital technology to improve the quality and efficiency, and to empower enterprises′ high-quality development. The main marginal contributions of this paper are as follows: (1) Based on the perspective of convergence application of digital technology, this study selected a large-volume and wide sample of A-share listed enterprises, and adopted textual analysis to accurately and comprehensively measure the actual digital technology application in the enterprise sector, and explored the impact effect of digital technology application on the enterprise′s total factor productivity. The research will not only compensate for the insufficiency of the macroscopic data, enrich and expand the related research on digital technology, but also provide micro-evidence that digital technology empowers the economic high-quality development. (2) This paper also provided some in-depth discussion of the internal mechanism of digital technology application affecting the enterprises′ total factor productivity, to a certain extent,which will open the "black box" of the productivity effect of digital technology application, utilize the multiplier effect of digital technology to enhance productivity, and crack the new "Solow paradox" in the digital era, thus providing a new path for digital technology development. (3) This paper found that highly skilled and educated human capital strengthens the productivity growth effect of digital technology application, indicating that the development of digital technology needs to be matched with the structure of senior human capital, which is an important policy revelation for the use of digital technology to realize the quality and efficiency of enterprises.
关键词
数字技术应用 /
全要素生产率 /
新“索洛悖论” /
人力资本结构
Key words
digital technology application /
total factor productivity /
new "Solow paradox" /
human capital structure
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1]江小涓,靳景.数字技术提升经济效率:服务分工、产业协同和数实孪生[J].管理世界,2022,38(12):9-26.
[2]Brynjolfsson E, Rock D, Syverson C. Artificial intelligence and the modern productivity paradox: A clash of expectations and statistics[M. University of Chicago Press, 2018: 23-57.
[3]蔡昉.中国经济增长如何转向全要素生产率驱动型[J].中国社会科学,2013(01):56-71+206.
[4]蔡跃洲,牛新星.中国数字经济增加值规模测算及结构分析[J].中国社会科学,2021(11):4-30+204.
[5]Heo P S, Lee D H. Evolution of the linkage structure of ICT industry and its role in the economic system: the case of Korea[J]. Information Technology for Development, 2019, 25(3): 424-454.
[6]田秀娟,李睿.数字技术赋能实体经济转型发展——基于熊彼特内生增长理论的分析框架[J].管理世界,2022,38(05):56-74.
[7]吕铁,李载驰.数字技术赋能制造业高质量发展——基于价值创造和价值获取的视角[J].学术月刊,2021,53(04):56-65+80.
[8]刘平峰,张旺.数字技术如何赋能制造业全要素生产率?[J].科学学研究,2021,39(08):1396-1406.
[9]李晓华.数字技术与服务业“成本病”的克服[J].财经问题研究,2022(11):16-26.
[10]杨思远,王康.数字技术能提升企业业绩吗?——来自中关村海淀科技园的微观证据[J].科研管理,2023,44(01):26-36.
[11]蔡跃洲,张钧南.信息通信技术对中国经济增长的替代效应与渗透效应[J].经济研究,2015,50(12):100-114.
[12]Khuntia J, Saldanha T J V, Mithas S, et al. Information technology and sustainability: Evidence from an emerging economy[J]. Production and Operations Management, 2018, 27(4): 756-773.
[13]郭家堂,骆品亮.互联网对中国全要素生产率有促进作用吗?[J].管理世界,2016(10):34-49.
[14]施炳展,李建桐.互联网是否促进了分工:来自中国制造业企业的证据[J].管理世界,2020,36(04):130-149.
[15]陈彦斌,林晨,陈小亮.人工智能、老龄化与经济增长[J].经济研究,2019,54(07):47-63.
[16]郭凯明.人工智能发展、产业结构转型升级与劳动收入份额变动[J].管理世界,2019,35(07):60-77+202-203.
[17]程文.人工智能、索洛悖论与高质量发展:通用目的技术扩散的视角[J].经济研究,2021,56(10):22-38.
[18]何小钢,梁权熙,王善骝.信息技术、劳动力结构与企业生产率——破解“信息技术生产率悖论”之谜[J].管理世界,2019,35(09):65-80.
[19]黄群慧,余泳泽,张松林.互联网发展与制造业生产率提升:内在机制与中国经验[J].中国工业经济,2019(08):5-23.
[20]Steininger D M. Linking information systems and entrepreneurship: A review and agenda for IT‐associated and digital entrepreneurship research[J]. Information Systems Journal, 2019, 29(2): 363-407.
[21]沈国兵,袁征宇.企业互联网化对中国企业创新及出口的影响[J].经济研究,2020,55(01):33-48.
[22]李唐,李青,陈楚霞.数据管理能力对企业生产率的影响效应——来自中国企业—劳动力匹配调查的新发现[J].中国工业经济,2020(06):174-192.
[23]赵宸宇,王文春,李雪松.数字化转型如何影响企业全要素生产率[J].财贸经济,2021,42(07):114-129.
[24]张叶青,陆瑶,李乐芸.大数据应用对中国企业市场价值的影响——来自中国上市公司年报文本分析的证据[J].经济研究,2021,56(12):42-59.
[25]Goldfarb A, Tucker C. Digital economics[J]. Journal of Economic Literature, 2019, 57(1): 3-43.
[26]袁淳,肖土盛,耿春晓,盛誉.数字化转型与企业分工:专业化还是纵向一体化[J].中国工业经济,2021(09):137-155.
[27]马永开,李仕明,潘景铭.工业互联网之价值共创模式[J].管理世界,2020,36(08):211-222.
[28]刘莉亚,金正轩,何彦林,朱小能,李明辉.生产效率驱动的并购——基于中国上市公司微观层面数据的实证研究[J].经济学(季刊),2018,17(04):1329-1360.
[29]宋敏,周鹏,司海涛.金融科技与企业全要素生产率——“赋能”和信贷配给的视角[J].中国工业经济,2021(04):138-155.
[30]吴敏,曹婧,毛捷.地方公共债务与企业全要素生产率:效应与机制[J].经济研究,2022,57(01):107-121.
[31]吴非,胡慧芷,林慧妍,任晓怡.企业数字化转型与资本市场表现——来自股票流动性的经验证据[J].管理世界,2021,37(07):130-144+10.
[32]肖土盛,孙瑞琦,袁淳,孙健.企业数字化转型、人力资本结构调整与劳动收入份额[J].管理世界,2022,38(12):220-237.
[33]Ackerberg D A, Caves K, Frazer G. Identification properties of recent production function estimators[J]. Econometrica, 2015, 83(6): 2411-2451.
[34]林长泉,毛新述,刘凯璇.董秘性别与信息披露质量——来自沪深A股市场的经验证据[J].金融研究,2016(09):193-206.
[35]杨金玉,彭秋萍,葛震霆.数字化转型的客户传染效应——供应商创新视角[J].中国工业经济,2022(08):156-174.
[36]黎文靖,郑曼妮.实质性创新还是策略性创新?——宏观产业政策对微观企业创新的影响[J].经济研究,2016,51(04):60-73.
[37]倪克金,刘修岩.数字化转型与企业成长:理论逻辑与中国实践[J].经济管理,2021,43(12):79-97.
基金
国家自然科学基金项目:“工业互联网促进制造业创新驱动发展的机理、模式与路径研究——基于数据赋能的视角”(72063011,2021. 01—2024. 12);中央高校基本科研业务费专项资金资助项目:“新质生产力赋能现代化产业体系建设的路径优化与提升策略研究”(NO.YCJJ20242304,2024.05—2025.05)。