工业智能化如何影响产业集中度——基于中国工业企业上市公司的实证研究
How Do Industrial Intelligence Affect Industrial Concentration—Based on the Empirical Study of Listed Industrial Companies in China
DOI: 10.12677/fin.2024.144149, PDF,   
作者: 施锦鹏：广西大学中国–东盟经济学院，广西 南宁
关键词: 工业智能化；产业集中度；Industrial Intelligence； Industrial Concentration
摘要: 本研究将以产业组织理论为基础，选取2007~2021年中国A股上市公司中的工业企业数据作为研究样本，探究工业智能化如何塑造产业内企业行为和市场格局，从产业集中度的角度回答了“索罗悖论”。实证研究发现，工业智能化的影响体现为倒U型关系，在工业智能化的初期提高其市场份额，为大型企业“锦上添花”。由于数据多层次的特点，采用多层次分析方法处理内生性问题和进行稳健性检验。企业工业智能化影响产业集中度的关系在不同发展阶段、地区和行业之间有所差异。本研究提供了对工业智能化和产业集中度关系的深入理解，为政策制定者、企业领导者和研究者提供了有价值的见解，帮助他们更好地应对日益复杂的市场环境和产业挑战。
Abstract: Based on the theory of industrial organization, this study selects the data of industrial enterprises in China’s A-share listed companies from 2007 to 2021 as research samples to explore how industrial intelligence shapes enterprise behavior and market pattern within the industry, and answers the “Solo paradox” from the perspective of industrial concentration. Empirical research finds that the impact of industrial intelligence is reflected in the inverted U-shaped relationship, which increases its market share in the initial stage of industrial intelligence and “icing on the cake” for large enterprises. Because of the characteristics of multi-level data, multi-level analysis method is used to deal with the endogeneity problem and robustness test. The relationship between enterprise industrial intelligence and industrial concentration is different in different development stages, regions and industries. This study provides an in-depth understanding of the relationship between industrial intelligence and industry concentration, providing policymakers, business leaders and researchers with valuable insights to help them better cope with the increasingly complex market environment and industry challenges.
文章引用：施锦鹏. 工业智能化如何影响产业集中度——基于中国工业企业上市公司的实证研究[J]. 金融, 2024, 14(4): 1443-1455. https://doi.org/10.12677/fin.2024.144149

参考文献

[1] Solow, R.M. (1987) We’d Better Watch Out. New York Times Book Review, July 12, 36.
[2] Brynjolfsson, E. and Milgrom, P. (2012) Complementarity in Organizations. In: Gibbons, R. and Roberts, J., Eds., The Handbook of Organizational Economics, Princeton University Press, 11-55. [Google Scholar] [CrossRef] 
[3] Brynjolfsson, E., Malone, T.W., Gurbaxani, V. and Kambil, A. (1994) Does Information Technology Lead to Smaller Firms? Management Science, 40, 1628-1644. [Google Scholar] [CrossRef] 
[4] Autor, D.H. and Salomons, A. (2018) Is Automation Labor-Displacing? Productivity Growth, Employment, and the Labor Share. In: The Economics of Artificial Intelligence: An Agenda, University of Chicago Press, 77-106. [Google Scholar] [CrossRef] 
[5] Gereffi, G., Humphrey, J. and Sturgeon, T. (2005) The Governance of Global Value Chains. Review of International Political Economy, 12, 78-104. [Google Scholar] [CrossRef] 
[6] Dedrick, J., Kraemer, K.L. and Linden, G. (2013) Who Profits from Innovation in Global Value Chains? A Study of the iPod and Notebook PCs. Industrial and Corporate Change, 22, 81-116. [Google Scholar] [CrossRef] 
[7] Brynjolfsson, E. and McAfee, A. (2014) The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. WW Norton & Company.
[8] Brynjolfsson, E., Jin, W. and Wang, X. (2023) Information Technology, Firm Size, and Industrial Concentration. National Bureau of Economic Research, Working Paper 31065. [Google Scholar] [CrossRef] 
[9] Teece, D.J. (2018) Profiting from Innovation in the Digital Economy: Enabling Technologies, Standards, and Licensing Models in the Wireless World. Research Policy, 47, 1367-1387. [Google Scholar] [CrossRef] 
[10] Acemoglu, D. and Autor, D.H. (2011) Skills, Tasks, and Technologies: Implications for Employment and Earnings. In: Handbook of Labor Economics, Vol. 4, North-Holland, 1043-1171. [Google Scholar] [CrossRef] 
[11] 李春涛, 闫续文, 宋敏, 等. 金融科技与企业创新——新三板上市公司的证据[J]. 中国工业经济, 2020(1): 81-98.
[12] 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(4): 138-155.
[13] 张纯, 吕伟. 信息披露、信息中介与企业过度投资[J]. 会计研究, 2009(1): 60-65+97.
[14] 全怡, 梁上坤, 付宇翔. 货币政策、融资约束与现金股利[J]. 金融研究, 2016(11): 63-79.
[15] 吴非, 胡慧芷, 林慧妍, 等. 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(7): 130-144+10.
[16] 綦慧心. 国有企业数字化转型及企业绩效的前置因素研究[D]: [硕士学位论文]. 济南: 山东大学, 2023.
[17] 陈春花, 朱丽, 钟皓, 等. 中国企业数字化生存管理实践视角的创新研究[J]. 管理科学学报, 2019, 22(10): 1-8.
[18] 陈剑, 黄朔, 刘运辉. 从赋能到使能——数字化环境下的企业运营管理[J]. 管理世界, 2020, 36(2): 117-128+222.
[19] 凌润泽, 潘爱玲, 李彬. 供应链金融能否提升企业创新水平? [J]. 财经研究, 2021, 47(2): 64-78.
[20] 宋福铁, 屈文洲. 基于企业生命周期理论的现金股利分配实证研究[J]. 中国工业经济, 2010(2): 140-149.
[21] 罗琦, 李辉. 企业生命周期、股利决策与投资效率[J]. 经济评论, 2015(2): 115-125.
[22] 刘诗源. 中国财税政策对企业创新的影响研究[D]: [博士学位论文]. 厦门: 厦门大学, 2020.

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