Big data development and enterprise green innovation: Text analysis of listed companies’ annual reports

IF 4.8 2区 经济学 Q1 BUSINESS, FINANCE
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引用次数: 0

Abstract

This study used a sample of data from 3314 firms listed in the manufacturing industry from 2011 to 2022. We analyzed these companies’ annual reports using panel regression analysis to explore the relationship between big data utilization and corporate green innovation. Findings reveal that green innovation is driven by big data development. Research and development (R&D) investment has emerged as a key mediator in the relationship between big data and green innovation among firms. Furthermore, this study identifies disparities in the effect of big data development on green innovation between profit-making and loss-making entities. Moreover, it emphasizes the differences in the effects of environmental innovation between state owned and non–state-owned enterprises. This study offers tangible evidence that companies should use big data to promote environmental innovation, which is a crucial strategy for achieving sustainable growth.
大数据发展与企业绿色创新:上市公司年报文本分析
本研究使用了 2011 年至 2022 年制造业 3314 家上市公司的样本数据。我们利用面板回归分析法对这些公司的年报进行了分析,以探讨大数据利用与企业绿色创新之间的关系。研究结果表明,大数据发展推动了绿色创新。研究与开发(R&D)投资成为大数据与企业绿色创新之间关系的关键中介。此外,本研究还发现了大数据开发对绿色创新的影响在盈利实体和亏损实体之间的差异。此外,本研究还强调了国有企业和非国有企业在环境创新效果上的差异。本研究提供了切实的证据,证明企业应利用大数据促进环境创新,这是实现可持续增长的重要战略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.30
自引率
2.20%
发文量
253
期刊介绍: The International Review of Economics & Finance (IREF) is a scholarly journal devoted to the publication of high quality theoretical and empirical articles in all areas of international economics, macroeconomics and financial economics. Contributions that facilitate the communications between the real and the financial sectors of the economy are of particular interest.
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