Can Industrial Robots Application Improve the Innovation Ability of Enterprises

LIANG Peng; LIANG Lin; QI Di

Volume 39 Issue 2

Mar. 2024

Turn off MathJax

Article Contents

Article Navigation > Journal of Guangdong University of Finance & Economics > 2024 > 39(2): 59-70

LIANG Peng, LIANG Lin, QI Di. Can Industrial Robots Application Improve the Innovation Ability of Enterprises[J]. Journal of Guangdong University of Finance & Economics, 2024, 39(2): 59-70.

Citation:

LIANG Peng, LIANG Lin, QI Di. Can Industrial Robots Application Improve the Innovation Ability of Enterprises[J]. Journal of Guangdong University of Finance & Economics, 2024, 39(2): 59-70.

LIANG Peng, LIANG Lin, QI Di. Can Industrial Robots Application Improve the Innovation Ability of Enterprises[J]. Journal of Guangdong University of Finance & Economics, 2024, 39(2): 59-70.

Citation:

LIANG Peng, LIANG Lin, QI Di. Can Industrial Robots Application Improve the Innovation Ability of Enterprises[J]. Journal of Guangdong University of Finance & Economics, 2024, 39(2): 59-70.

PDF( 1037 KB)

Can Industrial Robots Application Improve the Innovation Ability of Enterprises

1.
School of Accounting, Capital University of Economics and Business, Beijing 100070
2.
Business School, Xinjiang University, Urumqi 830091
3.
School of Finance, Nanjing Agricultural University, Nanjing 210095, China

Received Date: 2023-07-28
Available Online: 2024-04-11
Publish Date: 2024-03-28

Abstract

Abstract

As a typical representative of digital technology, industrial robots have become an important alternative to traditional labor, providing enterprises with an environment of "creative destruction". Whether they can improve the innovation ability of enterprises has attracted wide attention. Based on the micro-enterprise data of China, this paper discusses the impact of industrial robot application on enterprise innovation ability and its mechanism. The findings indicate that the application of industrial robots can significantly improve the innovation ability, and effectively enhance the substantive innovation capabilities of enterprises. In addition, the mechanism test shows that the application of industrial robots can increase the demand for high-quality talents, improve the labor structure and enhance human capital, and then promote the innovation ability of enterprises, confirming the "talent gathering effect". At the same time, the upgrading of production technology brought about by the application of industrial robots will promote production efficiency, thereby improving the innovation ability, confirming the "productivity improvement effect". Further analysis shows that inlabor-intensive state-ownedenterprises with higher labor costs and higher financial risk, and those with higher external market competition, the application of industrial robots has a more significant role in promoting the innovation ability. This paper expands the researchof industrial robots andinnovation capabilities, and has certain reference significance for promoting the transformation of enterprise labor factors, improving the human capital structure, and assisting the intelligent transformation and upgrading of China's manufacturing industry.
- industrial robots,
- enterprise innovation,
- human capital,
- production efficiency,
- intelligent manufacturing

FullText(HTML)

References(38)

References

[1]	盛丹, 卜文超. 机器人使用与中国企业的污染排放[J]. 数量经济技术经济研究, 2022(9): 157-176. https://www.cnki.com.cn/Article/CJFDTOTAL-SLJY202209008.htm
[2]	GRAETZ G, MICHAELS G. Robots at work[J]. Review of Economics and Statistics, 2018, 100(5): 753-768. doi: 10.1162/rest_a_00754
[3]	李磊, 王小霞, 包群. 机器人的就业效应: 机制与中国经验[J]. 管理世界, 2021(9): 104-119. https://www.cnki.com.cn/Article/CJFDTOTAL-GLSJ202109025.htm
[4]	ACEMOGLU D, RESTREPO P. Robots and jobs: evidence from US labor markets[J]. Journal of Political Economy, 2020, 128(6): 2188-2244. doi: 10.1086/705716
[5]	王永钦, 董雯. 机器人的兴起如何影响中国劳动力市场?——来自制造业上市公司的证据[J]. 经济研究, 2020(10): 159-175. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ202010011.htm
[6]	DIXON J, HONG B, WU L. The robot revolution: managerial and employment consequences for firms[J]. Management Science, 2021, 67(9): 5586-5605. doi: 10.1287/mnsc.2020.3812
[7]	KOCH M, MANUYLOV I, SMOLKA M. Robots and firms[J]. Economic Journal, 2021, 131(638): 2553-2584. doi: 10.1093/ej/ueab009
[8]	BOLAND JR R J, LYYTINEN K, YOO Y. Wakes of innovation in project networks: the case of digital 3-D representations in architecture, engineering, and construction[J]. Organization Science, 2007, 18(4): 631-647. doi: 10.1287/orsc.1070.0304
[9]	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(7): 130-144. https://www.cnki.com.cn/Article/CJFDTOTAL-GLSJ202107013.htm
[10]	LOEBBECKE C, PICOT A. Reflections on societal and business model transformation arising from digitization and big data analytics: a research agenda[J]. The Journal of Strategic Information Systems, 2015, 24(3): 149-157. doi: 10.1016/j.jsis.2015.08.002
[11]	ZHUO C, CHEN J. Can digital transformation overcome the enterprise innovation dilemma: effect, mechanism and effective boundary[J]. Technological Forecasting and Social Change, 2023, 190: 122378. doi: 10.1016/j.techfore.2023.122378
[12]	LIU Y, DONG J, MEI L, et al. Digital innovation and performance of manufacturing firms: an affordance perspective[J]. Technovation, 2023, 119: 102458. doi: 10.1016/j.technovation.2022.102458
[13]	黄先海, 高亚兴. 数实产业技术融合与企业全要素生产率——基于中国企业专利信息的研究[J]. 中国工业经济, 2023 (11): 118-136. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202311007.htm
[14]	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(7): 114-129. https://www.cnki.com.cn/Article/CJFDTOTAL-CMJJ202107008.htm
[15]	吕可夫, 于明洋, 阮永平. 企业数字化转型与资源配置效率[J]. 科研管理, 2023(8): 11-20. https://www.cnki.com.cn/Article/CJFDTOTAL-KYGL202308002.htm
[16]	周红星, 黄送钦. 数字化能为创新"赋能"吗——数字化转型对民营企业创新的影响[J]. 经济学动态, 2023(7): 69-90. https://www.cnki.com.cn/Article/CJFDTOTAL-JJXD202307004.htm
[17]	SCHUMPETER J A. Business cycles: a theoretical, historical, and statistical analysis of the capitalist process[M]. University Microfilms International, 1964, 1: 223-229.
[18]	王林辉, 钱圆圆, 宋冬林, 等. 机器人应用的岗位转换效应及就业敏感性群体特征——来自微观个体层面的经验证据[J]. 经济研究, 2023(7): 69-85. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ202307003.htm
[19]	邱语, 张卫国. 机器人应用与劳动力就业: 来自中国制造企业的经验证据[J]. 广东财经大学学报, 2023(4): 18-36. http://xb.gdufe.edu.cn/article/id/317f3e45-8dc5-4a8f-953c-f7fafce9b02e
[20]	权小锋, 刘佳伟, 孙雅倩. 设立企业博士后工作站促进技术创新吗——基于中国上市公司的经验证据[J]. 中国工业经济, 2020(9): 175-192. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202009011.htm
[21]	吕越, 谷玮, 包群. 人工智能与中国企业参与全球价值链分工[J]. 中国工业经济, 2020(5): 80-98. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202005006.htm
[22]	刘骏, 刘涛雄, 谢康. 机器人可以缓解老龄化带来的中国劳动力短缺问题吗[J]. 财贸经济, 2021(8): 145-160. https://www.cnki.com.cn/Article/CJFDTOTAL-CMJJ202108009.htm
[23]	吴一平, 陈家和, 李鹏飞. 自动化技术应用与企业人力资本结构——基于供应链视角的研究[J]. 财经研究, 2023(7): 4-18. https://www.cnki.com.cn/Article/CJFDTOTAL-CJYJ202307001.htm
[24]	韩超, 李鑫平. 在自动化中推动企业绿色转型: 技术进步与产品重构效应[J]. 数量经济技术经济研究, 2023(4): 72-93. https://www.cnki.com.cn/Article/CJFDTOTAL-SLJY202304004.htm
[25]	张倩肖, 段义学. 数字赋能、产业链整合与全要素生产率[J]. 经济管理, 2023(4): 5-21. https://www.cnki.com.cn/Article/CJFDTOTAL-JJGU202304001.htm
[26]	黄勃, 李海彤, 刘俊岐, 等. 数字技术创新与中国企业高质量发展——来自企业数字专利的证据[J]. 经济研究, 2023(3): 97-115. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ202303006.htm
[27]	IMPULLITTI G, LICANDRO O, RENDAHL P. Technology, market structure and the gains from trade[J]. Journal of International Economics, 2022, 135: 103557. doi: 10.1016/j.jinteco.2021.103557
[28]	ACEMOGLU D, RESTREPO P. Automation and new tasks: how technology displaces and reinstates labor[J]. Journal of Economic Perspectives, 2019, 33(2): 3-30. doi: 10.1257/jep.33.2.3
[29]	杨丹. 合并商誉与企业创新能力[J]. 科研管理, 2021(5): 1-11. https://www.cnki.com.cn/Article/CJFDTOTAL-KYGL202105001.htm
[30]	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(4): 60-73. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ201604005.htm
[31]	AUTOR D H, DORN D, HANSON G H. Untangling trade and technology: evidence from local labour markets[J]. The Economic Journal, 2015, 125(584): 621-646. doi: 10.1111/ecoj.12245
[32]	孔高文, 刘莎莎, 孔东民. 机器人与就业——基于行业与地区异质性的探索性分析[J]. 中国工业经济, 2020(8): 80-98. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202008008.htm
[33]	谭小芬, 钱佳琪. 资本市场压力与企业策略性专利行为: 卖空机制的视角[J]. 中国工业经济, 2020(5): 156-173. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202005010.htm
[34]	刘行, 赵晓阳. 最低工资标准的上涨是否会加剧企业避税?[J]. 经济研究, 2019(10): 121-135. https://www.cnki.com.cn/Article/CJFDTOTAL-JJYJ201910009.htm
[35]	魏志华, 夏太彪. 社会保险缴费负担、财务压力与企业避税[J]. 中国工业经济, 2020(7): 136-154. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202007009.htm
[36]	钟凯, 梁鹏, 董晓丹, 等. 数字普惠金融与商业信用二次配置[J]. 中国工业经济, 2022(1): 170-188. https://www.cnki.com.cn/Article/CJFDTOTAL-GGYY202201010.htm
[37]	RONG Z, WU X, BOEING P. The effect of institutional ownership on firm innovation: evidence from Chinese listed firms[J]. Research Policy, 2017, 46(9): 1533-1551. doi: 10.1016/j.respol.2017.05.013
[38]	汪琼, 李栋栋, 王克敏. 营商"硬环境"与公司现金持有: 基于市场竞争和投资机会的研究[J]. 会计研究, 2020(4): 88-99. https://www.cnki.com.cn/Article/CJFDTOTAL-KJYJ202004008.htm