调查欧洲中小企业的投资准备:一种机器学习方法

IF 9.8 1区 经济学 Q1 BUSINESS, FINANCE
Christos Alexakis , Periklis Gogas , Giovanni Petrella , Michael Polemis , Federica Salvadè
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引用次数: 0

摘要

本研究利用机器学习技术来调查欧洲中小企业(SMEs)的投资准备情况。了解中小企业愿意使用股权资本和促进创新背后的驱动因素,对促进经济增长至关重要。我们的分析基于欧盟委员会和欧洲央行发布的《企业融资渠道调查》(SAFE),该调查涵盖了欧洲中小企业的大量样本。实证研究结果表明,与创业生态系统相关的因素,如监管框架、熟练员工的可用性和国内市场前景,是投资准备程度的关键驱动因素。重要的是,我们发现获得债务融资和企业风险对中小企业筹集股权资本的意愿没有显著影响。最后,本研究为政策制定者和股权提供商提供了有价值的见解,表明考虑到文化和国家具体特征的量身定制的投资准备计划可以释放欧洲中小企业的全部潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the investment readiness of European SMEs: A machine learning approach
This study exploits machine learning techniques to investigate the investment readiness of European small and medium-sized enterprises (SMEs). Understanding the drivers behind SMEs' willingness to use equity capital and foster innovation is crucial for promoting economic growth. Our analysis is grounded on the Survey on the Access to Finance of Enterprises (SAFE) released by the European Commission and the European Central Bank, which covers a vast sample of European SMEs. The empirical findings reveal that factors associated with the entrepreneurial ecosystem—such as regulatory frameworks, the availability of skilled staff, and perceived market outlook within a country—are critical drivers of investment readiness. Importantly, we find that access to debt financing and firm risk do not significantly influence SMEs' willingness to raise equity capital. Lastly, this research offers valuable insights for policymakers and equity providers, suggesting that tailored investment readiness programs that consider cultural and country-specific characteristics can unlock the full potential dynamics of European SMEs.
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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