Promoting energy saving and emission reduction benefits in small and medium-sized enterprises supply chains through green finance - Evidence based on artificial intelligence intervention

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Lixia Jiang , Xiaojing Cao , Zeyu Wang , Yun Zhan , Jiali Zhang , Shuai Chen
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Abstract

To ensure the intelligent development and online development of supply chain finance (SCF) business, this study deeply explores the application of intelligent robots in the development of financial intelligence from the perspective of supply chain finance. This study reviews the intelligent robot operating system based on SCF management and analyzes in detail the impact of digital inclusive finance on the innovation mechanism of green financial enterprises. Causal inference methods are introduced to construct one or more “synthetic control” units. These units are weighted averages of multiple control units, aiming to simulate the pre-policy implementation state of the treated unit as closely as possible, thus more accurately estimating policy effects. In the empirical analysis, based on detailed financial data of small and medium-sized enterprises (SMEs) from 2015 to 2022, the relationship between the digital inclusive finance index and corporate green innovation is explored. In the analysis of control variables, enterprises' return on assets (ROA), auditors from the Big Four accounting firms (Big4), Book-to-Market (BM), enterprise size, and institutional investor shareholding ratio all show a positive correlation with green innovation of enterprises. Specifically, regarding the state of development of digital inclusive finance, the average of the Index is 0.213, with the median slightly higher than this value. This reveals that the development level of digital inclusive finance in the cities where most enterprises are located exceeds this average level. Regarding controlling the data results of variables, the enterprise size's mean value is stable at 21.989. The mean values of ROA, Big4, Research and Development (R&D), and BM are 0.044, 0.027, 0.025, and 0.783, respectively. In addition, digital inclusive finance positively impacts corporate green innovation. In small enterprises and the central and western regions, digital inclusive finance has a greater impact on green innovation. Therefore, the intelligent robot operating system has a wide range of application prospects in the digital SCF environment, which can improve the level of enterprise financial intelligence and promote the innovation activities of green financial enterprises.
通过绿色金融提升中小企业供应链节能减排效益——基于人工智能干预的实证研究
为保证供应链金融业务的智能化发展和在线化发展,本研究从供应链金融的角度深入探讨智能机器人在金融智能化发展中的应用。本研究回顾了基于SCF管理的智能机器人操作系统,并详细分析了数字普惠金融对绿色金融企业创新机制的影响。引入因果推理方法来构造一个或多个“综合控制”单元。这些单元是多个控制单元的加权平均值,旨在尽可能地模拟被处理单元在政策实施前的状态,从而更准确地估计政策效果。在实证分析中,基于2015 - 2022年中小企业的详细财务数据,探讨数字普惠金融指数与企业绿色创新的关系。在控制变量分析中,企业的资产收益率(ROA)、四大会计师事务所审计师(Big4)、账面市值比(BM)、企业规模、机构投资者持股比例均与企业绿色创新呈正相关。具体而言,对于数字普惠金融的发展状况,该指数的平均值为0.213,中位数略高于该值。这表明,大多数企业所在城市的数字普惠金融发展水平超过了这一平均水平。在控制变量的数据结果方面,企业规模均值稳定在21.989。ROA均值为0.044,Big4均值为0.027,r&d均值为0.025,BM均值为0.783。此外,数字普惠金融对企业绿色创新具有正向影响。在中小企业和中西部地区,数字普惠金融对绿色创新的影响更大。因此,智能机器人操作系统在数字化SCF环境下具有广泛的应用前景,可以提高企业金融智能化水平,促进绿色金融企业的创新活动。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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