Strong financial regulation and the intelligent transformation of enterprises

IF 7.9 2区 经济学 Q1 ECONOMICS
Baizhen Zhang , Meiting Guo
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引用次数: 0

Abstract

Artificial intelligence, as a strategic technology leading the future, has emerged as a key field where nations worldwide are actively vying for leadership. In 2018, China issued new asset management regulations, which had a significant impact on the intelligent transformation of enterprises. However, there are no scholars to carry out research. In order to fill this gap, this paper is based on the natural experiment of China's the new asset management regulation released in 2018, this paper analyzes the impact of strong financial regulation on enterprise AI. The primary contribution of this paper is the establishment of a new mathematical model for stringent financial supervision and the deduction that new regulations guide funds by targeting shadow banking, curbing corporate financialization, alleviating financing constraints, and optimizing resource allocation, thereby fostering the intelligent transformation of enterprises. Addressed the shortcomings in existing quantitative research. Finally, further analysis reveals that this positive effect is mainly reflected in state-owned enterprises, high-tech enterprises, private financial development degree is higher, and relatively developed eastern regions and large urban agglomeration areas. This study provides micro evidence for the intelligent effect of financial strong regulation, and provides important policy enlightenment for further releasing the dividends of financial regulation system reform and promoting the high-quality development of real economy.
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来源期刊
CiteScore
9.80
自引率
9.20%
发文量
231
审稿时长
93 days
期刊介绍: Economic Analysis and Policy (established 1970) publishes articles from all branches of economics with a particular focus on research, theoretical and applied, which has strong policy relevance. The journal also publishes survey articles and empirical replications on key policy issues. Authors are expected to highlight the main insights in a non-technical introduction and in the conclusion.
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