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大数据赋能企业绿色发展的实证证据与作用机制

Empirical evidence and role mechanisms of big data enabling corporate green development.

作者信息

Wang Yao, Li Yitao, Ruan Zhen, Tang Zihan, Gao Tilei

机构信息

School of Finance, Yunnan University of Finance and Economics, Kunming, 650221, China.

School of Information, Yunnan University of Finance and Economics, Kunming, 650221, China.

出版信息

Sci Rep. 2025 May 27;15(1):18476. doi: 10.1038/s41598-025-03207-0.

Abstract

Driven by the growing challenges of global climate change and the urgent need to meet Sustainable Development Goals (SDGs), the green transformation of the economy has become a global consensus, with enterprises playing a crucial role. Using data from China's A-share listed companies between 2010 and 2022, this paper examines the impact of big data advancements on corporate green development through the construction of a quasi-natural experiment. Specifically, the "National Big Data Comprehensive Pilot Zone" is used as a policy intervention to explore the causal effects of big data on corporate green practices. The findings indicate that the implementation of the big data pilot policy has fostered the adoption of more sustainable business practices, particularly in the eastern and central regions, as well as among large-scale enterprises. These positive effects are primarily driven by improved resource allocation and the reduction of agency costs. Based on these findings, the paper proposes a series of policy recommendations aimed at accelerating the green transition of the economy, offering valuable insights for policymakers and researchers.

摘要

在全球气候变化带来的挑战日益严峻以及实现可持续发展目标(SDGs)的迫切需求推动下,经济的绿色转型已成为全球共识,企业在其中发挥着关键作用。本文利用2010年至2022年中国A股上市公司的数据,通过构建准自然实验,研究大数据进步对企业绿色发展的影响。具体而言,将“国家大数据综合试验区”作为政策干预措施,以探究大数据对企业绿色实践的因果效应。研究结果表明,大数据试点政策的实施促进了企业采用更具可持续性的商业实践,特别是在东部和中部地区以及大型企业中。这些积极影响主要是由资源配置的改善和代理成本的降低所驱动。基于这些发现,本文提出了一系列旨在加速经济绿色转型的政策建议,为政策制定者和研究人员提供了有价值的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbc5/12117066/a5f44e16d6e9/41598_2025_3207_Fig1_HTML.jpg

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