基于QCA的科技金融企业绩效影响因素研究  

On Influencing Factors of Enterprise Performance in Technology and Finance Based on QCA

作　　者：王晓艳[1] 梁珂 WANG Xiaoyan;LIANG Ke(School of Economics and Management,Hefei University,Hefei 230601,China)

机构地区：[1]合肥学院经济与管理学院,合肥230601

出　　处：《合肥学院学报（综合版）》2022年第6期13-19,共7页Journal of Hefei University：Comprehensive ED

基　　金：安徽省科技创新战略与软科学重点研究项目“长三角区域科技金融联动路径和引导机制研究”(202106f01050018)资助。

摘　　要：以我国2010-2020年间科技金融公司为样本,使用QCA方法,探讨金融科技投入、流程优化建设投入、技术储备程度、负债水平、营运能力和管理能力这六个前因条件构成的不同组态,对科技金融企业高企业绩效和非高企业绩效的影响。研究发现:科技金融企业产生高绩效的路径共有五条,可以归纳为以负债水平为主导和以金融科技投入为主导的两条提升路径。通过对比分析银行和非银行类科技金融公司,还发现:两类企业实现高绩效的路径有一定差异,银行类企业大多通过高负债水平和高管理能力路径来实现;非银行科技金融公司提升绩效的路径还包括:高金融科技投入、高流程优化建设投入、高技术储备程度等实现路径。taking Chinese technology financial companies from 2010 to 2020 as samples,QCA method is used to explore the influence of different configurations of six factors including fintech investment,process optimization construction investment,technology reserve degree,debt level,operation ability and management ability on high and non-high corporate performance of itechnology financial enterpri­ses.The research finds that there are five paths for technology financial enterprises to generate high performance,which can be simplified into two overall promotion paths dominated by debt level and fintech investment.Through the comparative analysis of banks and non-bank technology financial companies,it is also found that there are certain differences between the two types of enterprises to a-chieve high performance.Banking enterprises mosdy achieve high performance through high debt level and high management ability.There are other ways for non-bank technology financial companies to improve their performance:high investment in fintech,high investment in process optimization and construction,and high degree of technology reserve.

关 键 词：科技金融 企业绩效 定性比较分析 

分 类 号：F832[经济管理—金融学]