Promoting or inhibiting: The impact of artificial intelligence application on corporate environmental performance

被引:0
|
作者
Liu, Yeshen [1 ]
Wang, Beibei [1 ]
Song, Zhe [1 ]
机构
[1] Nanjing Univ, Sch Business, Anzhong Bldg,16 Jinyin St, Nanjing 210093, Peoples R China
关键词
Artificial intelligence application; Environmental performance; Operating costs; Operational efficiency; Employee productivity; MANAGEMENT; WORDS;
D O I
10.1016/j.irfa.2024.103872
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
Existing research mainly focuses on the economic consequences of artificial intelligence (AI) applications for firms, while less attention is given to its non-economic effects. This study uses data from listed non-financial companies in China between 2008 and 2021, first comparing various methods to effectively measure firmlevel AI application and then assessing its impact on corporate environmental performance. The findings indicate that AI application enhances the growth of environmental performance. This growth comes primarily through decreased operating costs, increased operational efficiency, and enhanced employee productivity. AIpowered growth is concentrated among manufacturing firms and is associated with larger fixed assets. Additionally, it is concentrated in firms with lower conventional low-skilled labor and is linked to higher unconventional high-skilled labor. We also find that AI application more effectively translates environmental performance into reputation and market value. Overall, this study offers valuable insights and implications for environmental governance in emerging market firms.
引用
收藏
页数:23
相关论文
共 50 条
  • [21] The impact of artificial intelligence on energy environmental performance: Empirical evidence from cities in China
    Guo, Qingbin
    Peng, Yanqing
    Luo, Kang
    ENERGY ECONOMICS, 2025, 141
  • [22] Artificial intelligence and corporate ESG performance: evidence from China
    Chen, Xiang
    Ge, Liming
    APPLIED ECONOMICS LETTERS, 2025,
  • [23] Shock or empowerment? Artificial intelligence technology and corporate ESG performance
    Chen, Jia
    Wang, Ning
    Lin, Tongzhi
    Liu, Baoliu
    Hu, Jin
    ECONOMIC ANALYSIS AND POLICY, 2024, 83 : 1080 - 1096
  • [24] Special issue: Application of artificial intelligence on environmental prediction
    Chau, K. W.
    INTERNATIONAL JOURNAL OF ENVIRONMENT AND POLLUTION, 2006, 28 (3-4) : 221 - 222
  • [25] The Impact of Artificial Intelligence Adoption Intensity on Corporate Sustainability Performance: The Moderated Mediation Effect of Organizational Change
    Li, Jiachen
    Jin, Xiu
    SUSTAINABILITY, 2024, 16 (21)
  • [26] The Impact of Artificial Intelligence Disclosure on Financial Performance
    Shiyyab, Fadi Shehab
    Alzoubi, Abdallah Bader
    Obidat, Qais Mohammad
    Alshurafat, Hashem
    INTERNATIONAL JOURNAL OF FINANCIAL STUDIES, 2023, 11 (03):
  • [27] Application and performance of artificial intelligence technology in cytopathology
    Alrafiah, Aziza R.
    ACTA HISTOCHEMICA, 2022, 124 (04)
  • [28] Evaluating Corporate Environmental Performance in the Context of Artificial Intelligence Implementation: The Contingent Roles of Ownership Type and External Monitoring
    Wang, Shaohui
    Yong, Yanlan
    Hussain, Murtaza
    Maqsood, Umer Sahil
    Zahid, R. M. Ammar
    BUSINESS STRATEGY AND THE ENVIRONMENT, 2025,
  • [29] Impact of Environmental Disaster Movies on Corporate Environmental and Financial Performance
    Kim, Henry Hyun-Do
    Park, Kwangwoo
    SUSTAINABILITY, 2021, 13 (02) : 1 - 31
  • [30] Assessing the impact of environmental management systems on corporate and environmental performance
    Melnyk, SA
    Sroufe, RP
    Calantone, R
    JOURNAL OF OPERATIONS MANAGEMENT, 2003, 21 (03) : 329 - 351