Research on the influence of digital finance on the economic efficiency of energy industry in the background of artificial intelligence

被引:4
|
作者
He, Qiao [1 ]
Xue, Ying [2 ]
机构
[1] Xian Univ Technol, Sch Econ & Management, Xian 710000, Shaanxi, Peoples R China
[2] Shanghai Lixin Univ Accounting & Finance, Sch Finance, Shanghai 201209, Peoples R China
来源
SCIENTIFIC REPORTS | 2023年 / 13卷 / 01期
关键词
D O I
10.1038/s41598-023-42309-5
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
China's economic growth has reached a new plateau. It is no longer appropriate to use the old economic growth model, which relied on labor, land resources, mineral resources, and other economic considerations. Under the background of artificial intelligence, high-quality economic development is an inevitable trend. A new financial paradigm called "digital finance" integrates financial services with information technologies. Digital financial technology is thought to be a crucial foundation for fostering high-quality and sustainable economic and social development since it may offer more economic entities reduced cost of capital and more realistic financial service skills than in traditional financial models. In the era of artificial intelligence, how to reasonably release the momentum of digital finance for China's sustained economic growth has become a hot topic of discussion at this stage. This paper studies the impact of digital finance on the economic efficiency of the energy industry in the context of artificial intelligence. Relevant metrics were also calculated. The findings revealed that: The benchmark regression result of digital finance on the efficiency of the green economy was 0.4685 before adding the main restrictions; the benchmark regression result of digital finance on the efficiency of the green economy was 0.2243 after adding the main constraints. As a result, data finance had a favorable impact on the effectiveness of the green economy.
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页数:10
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