He Qiao, Xue Ying
School of Economics and Management, Xi'an University of Technology, Xi'an, 710000, Shaanxi, China.
School of Finance, Shanghai Lixin University of Accounting and Finance, Shanghai, 201209, China.
Sci Rep. 2023 Sep 11;13(1):14984. doi: 10.1038/s41598-023-42309-5.
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.
中国经济增长已达到新的平台期。再采用依赖劳动力、土地资源、矿产资源及其他经济因素的旧经济增长模式已不合适。在人工智能背景下，高质量经济发展是必然趋势。一种名为“数字金融”的新金融范式将金融服务与信息技术融合。数字金融技术被认为是促进高质量和可持续经济社会发展的关键基础，因为与传统金融模式相比，它可为更多经济实体提供更低的资本成本和更切实可行的金融服务技能。在人工智能时代，如何合理释放数字金融的动力以实现中国经济持续增长已成为现阶段的热门讨论话题。本文研究了在人工智能背景下数字金融对能源行业经济效率的影响。还计算了相关指标。研究结果显示：在加入主要限制因素之前，数字金融对绿色经济效率的基准回归结果为0.4685；加入主要限制因素之后，数字金融对绿色经济效率的基准回归结果为0.2243。因此，数据金融对绿色经济的有效性有积极影响。
