Does artificial intelligence technology enhance green transformation of enterprises: based on green innovation perspective

被引:4
|
作者
Liang, Peng [1 ]
Sun, Xinhui [2 ]
Qi, Luzhuang [2 ]
机构
[1] Capital Univ Econ & Business, Sch Accounting, 121 Zhangjia Rd, Beijing 100070, Peoples R China
[2] Univ Int Business & Econ, Business Sch, 10 Huixin East St, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial intelligence; Green innovation; Environmental governance; Human capital; ENVIRONMENTAL-REGULATION; SUPPLY CHAIN; INDUSTRY; 4.0; PRODUCT INNOVATION; ROBOTS; PERFORMANCE; COLLABORATION; DETERMINANTS; COMPETITION; MANAGEMENT;
D O I
10.1007/s10668-023-04225-6
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the context of the rapid development of artificial intelligence, industrial robots, as an important manifestation of artificial intelligence technology application, provide enterprises with a "creative destruction" environment, and play a positive role in energy utilization and environmental governance. Therefore, academics have focused a lot of attention on the question of whether industrial robot application can successfully improve corporate green innovation (CGI), thus achieving green transformation, and upgrading the manufacturing industry. This paper builds a "Bartik instrument variable" to calculate the micro-enterprise robot penetration rate from 2007 to 2019, looks at the effect of industrial robot application on CGI using data from manufacturing listed companies, and discusses the mechanism, heterogeneity, and robustness of this effect. The research finds that industrial robot application significantly improve CGI, indicating that they can promote corporate green technology transformation. This effect not only enhances the scale of CGI but also strengthens the quality of CGI. In addition, the above conclusion still holds after a series of endogeneity and robustness tests. Mechanism research shows that industrial robot application contribute to CGI by improving production efficiency, human capital, and environmental governance levels. It has a good complementary optimization effect on CGI. Furthermore, heterogeneity research shows that industrial robot application has a more significant role in enhancing green innovation for enterprises that are labor-intensive, more intense market competitive, more serious environmental pollution, and have lower level of digital economy development. The research conclusion verifies the effect of artificial intelligence technology and explores its mechanism, which provides empirical references for improving corporate environmental performance and green transformation.
引用
下载
收藏
页码:21651 / 21687
页数:37
相关论文
共 50 条
  • [31] How does urban environmental legislation guide the green transition of enterprises? Based on the perspective of enterprises? green total factor productivity
    Zhang, Bingbing
    Yu, Lan
    Sun, Chuanwang
    ENERGY ECONOMICS, 2022, 110
  • [32] How does urban environmental legislation guide the green transition of enterprises? Based on the perspective of enterprises' green total factor productivity
    Zhang, Bingbing
    Yu, Lan
    Sun, Chuanwang
    Energy Economics, 2022, 110
  • [33] Research on Green Technology Innovation Evaluation of Industrial Enterprises Based on Complex Network
    Zhang, Wenyu
    Yu, Qi
    Yang, Fengxia
    Fan, Haiyan
    Liu, Siyang
    Zhang, Xi
    2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA), 2018, : 594 - 599
  • [34] Research on the Green Transformation of Mining Enterprises Guided by Government Based on Game Perspective
    Hou, Jun-hua
    Zhu, Jin-deng
    Peng, Zhen
    2020 INTERNATIONAL SYMPOSIUM ON ENERGY ENVIRONMENT AND GREEN DEVELOPMENT, 2021, 657
  • [35] Can enterprise green technology innovation performance achieve "corner overtaking" by using artificial intelligence?-Evidence from Chinese manufacturing enterprises
    Tian, Hongna
    Zhao, Liyan
    Li, Yunfang
    Wang, Wei
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2023, 194
  • [36] Evolutionary Game Analysis of Green Technology Innovation Behaviour for Enterprises from the Perspective of Prospect Theory
    Wu, Guancen
    Deng, Luqi
    Niu, Xing
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 2022
  • [37] Does the energy-consuming right trading system promote green technology innovation of enterprises?
    Shao, Wei
    Liu, Jiahui
    HELIYON, 2024, 10 (04)
  • [38] THE IMPACT OF ENTERPRISE DIGITAL TRANSFORMATION ON GREEN TECHNOLOGY INNOVATION IN MANUFACTURING: A FACTOR FLOW PERSPECTIVE
    Lv, Da
    Liu, Xiaoxia
    Cao, Guangsheng
    SINGAPORE ECONOMIC REVIEW, 2024,
  • [39] Tapping into the green potential: The power of artificial intelligence adoption in corporate green innovation drive
    Hussain, Murtaza
    Yang, Shaohua
    Maqsood, Umer Sahil
    Zahid, R. M. Ammar
    BUSINESS STRATEGY AND THE ENVIRONMENT, 2024, 33 (05) : 4375 - 4396
  • [40] ESG performance and green innovation in a digital transformation perspective
    Dai, Jun
    Zhu, Qiumin
    AMERICAN JOURNAL OF ECONOMICS AND SOCIOLOGY, 2024, 83 (01) : 263 - 282