Artificial intelligence, digital inclusive finance, and financial performance: Dynamic threshold insights from renewable energy enterprises

IF 14.2 2区经济学 Q1 ECONOMICS

Energy Economics Pub Date : 2025-06-23 DOI:10.1016/j.eneco.2025.108687

Wenwen Zhang , Shuai Fu , Yi-Bin Chiu , Cody Yu-Ling Hsiao

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Abstract

With the widespread application of artificial intelligence (AI), industrial robots—being a typical example of AI technology—have provided new tools and opportunities for renewable energy enterprises. This paper uses data from 151 renewable energy enterprises and a dynamic panel threshold model to investigate the nonlinear effect of AI on financial performance of renewable energy enterprises and how this effect evolves with varying levels of digital inclusive finance. This paper finds that industrial robot installation exerts a U-shaped influence on renewable energy enterprises' financial performance, and industrial robot stock has a decreasing positive effect. Furthermore, industrial robots' influence on the financial performance of renewable energy enterprises varies by ownership type and scale. Additionally, at a high level of AI development, a high degree of digital inclusive finance amplifies the beneficial influence of industrial robot installation on the performance of renewable energy enterprises, while weakens the positive impact of industrial robot stock.

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人工智能、数字普惠金融与财务绩效：来自可再生能源企业的动态阈值洞察

随着人工智能的广泛应用，工业机器人作为人工智能技术的典型代表，为可再生能源企业提供了新的工具和机遇。本文利用151家可再生能源企业的数据和动态面板阈值模型，研究人工智能对可再生能源企业财务绩效的非线性影响，以及这种影响如何随着数字普惠金融水平的不同而演变。研究发现，工业机器人安装量对可再生能源企业财务绩效的影响呈u型，工业机器人存量的正向影响呈递减趋势。此外，工业机器人对可再生能源企业财务绩效的影响因所有权类型和规模而异。此外，在人工智能发展水平较高的情况下，高度的数字普惠金融放大了工业机器人安装对可再生能源企业绩效的有利影响，减弱了工业机器人存量的积极影响。

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来源期刊

Energy Economics ECONOMICS-

CiteScore

18.60

自引率

12.50%

发文量

524

期刊介绍： Energy Economics is a field journal that focuses on energy economics and energy finance. It covers various themes including the exploitation, conversion, and use of energy, markets for energy commodities and derivatives, regulation and taxation, forecasting, environment and climate, international trade, development, and monetary policy. The journal welcomes contributions that utilize diverse methods such as experiments, surveys, econometrics, decomposition, simulation models, equilibrium models, optimization models, and analytical models. It publishes a combination of papers employing different methods to explore a wide range of topics. The journal's replication policy encourages the submission of replication studies, wherein researchers reproduce and extend the key results of original studies while explaining any differences. Energy Economics is indexed and abstracted in several databases including Environmental Abstracts, Fuel and Energy Abstracts, Social Sciences Citation Index, GEOBASE, Social & Behavioral Sciences, Journal of Economic Literature, INSPEC, and more.