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银企距离、数字金融与企业数字化转型

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企业数字化转型是深化数字经济发展的核心基础,如何有效推动企业数字化转型是新时代推动经济高质量发展的重要任务.本研究采用一种新型主题测度模型——Latent Dirichlet Allocation(LDA),计算数字化转型指标,分析银行与企业之间的物理距离对企业数字化转型的影响.研究结果显示,距离银行较远的企业,其数字化转型程度更高,这种正向效应在距离较远、高科技企业、现金流较低及小企业样本中尤为显著.机制分析表明,银企距离通过促进企业数字金融应用的扩展这一路径推动了企业数字化转型.这些发现为全面理解企业在面对传统金融资源获取障碍时的策略选择提供了新视角和实证证据.这启示政府应加大对偏远地区,尤其是银行服务不足地区的数字基础设施投资,以更好地促进企业进行技术创新和数字化转型.
Bank-Enterprise Proximity,Digital Finance and Corporate Digital Transformation
Corporate digital transformation is a fundamental driver of the deepening digital economy and a key task for fostering high-quality economic growth in the new era.This study employs a novel topic measurement model-Latent Dirichlet Allocation(LDA)—to calculate digital transformation indicators and examines the impact of physical distance between banks and enterprises on their digital transformation.The findings reveal that enterprises located farther from banks exhibit a higher degree of digital transforma-tion,with this positive effect being particularly significant among distant firms,high-tech enterprises,those with lower cash flow,and smaller businesses.Mechanism analysis shows that the bank-enterprise distance drives corporate digital transformation by facilitat-ing the expansion of digital finance adoption.These findings provide new insights and empirical evidence on how enterprises respond to traditional financial access barriers in their strategic choices.This suggests that the government should increase investment in digi-tal infrastructure in remote areas,especially those with limited banking services,to better promote technological innovation and digi-tal transformation among enterprises.

Bank-Enterprise ProximityLDA Topic Measurement ModelDigital FinanceCorporate Digital Transformation

宿伟健、张全飞、李夏冰、张业鹏

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山东财经大学经济研究中心

山东大学经济学院

山东艺术学院传媒学院

香港中文大学(深圳)人文社科学院

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银企距离 LDA主题测度模型 数字金融 企业数字化转型

2024

财经科学
西南财经大学

财经科学

CSTPCDCSSCICHSSCD北大核心
影响因子:1.607
ISSN:1000-8306
年,卷(期):2024.(11)