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数字普惠金融促进小微企业融资的理论机理及省级证据

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数字普惠金融是普惠金融发展的新方向,为小微企业融资创造了新模式和新方法.然而,数字普惠金融如何推动小微企业融资的内在机理和实现机制的研究仍显不足.文章以斯蒂格利茨-维斯信贷配给模型(S-W模型)为基础框架,引入数字普惠金融两大核心优势——大数据和大样本供需方,通过分析两大核心优势对S-W模型中的假设条件、资金供求双方行为、均衡结果的影响,剖析数字普惠金融改善小微企业信贷配给的理论机理.同时通过研究各省小微信贷可获得性与数字普惠金融发展指数及其分项指数之间的关系,进一步验证数字普惠金融促进小微企业融资中大数据和大样本供需方实现机制特点,及不同类型省份异质性差异.研究结论显示,大数据和大样本对于改善小微企业融资都存在显著性正向影响,发达省份相比欠发达省份在大样本方面存在明显优势,但在大数据应用方面优势并不明显.未来进一步推动小微企业融资,发达省份主要是提升大数据应用技术并向欠发达省份溢出,欠发达省份主要是补齐大样本供需方短板,由此形成全面、协调、共享、可持续发展的局面.
Theoretical Mechanism and Provincial Evidence of Digital Inclusive Finance Promoting Financing for Small and Micro Enterprises
Digital inclusive finance is a new direction for the development of inclusive finance,creating new models and methods for financing small and micro enterprises.However,there is still insufficient research on the internal and implementation mechanisms of how digital inclusive finance promotes financing for small and micro enterprises.This article is based on the Stiglitz Weiss credit allocation model(S-W model)and introduces the two core advantages of digital inclusive finance:big data advantage,large sample of supply and demand advantage.By analyzing the impact of these two core advantages on the assumptions,behavior of supply and demand,and equilibrium results in the S-W model,the theoretical mechanism of digital inclusive finance improving credit allocation for small and micro enterprises is analyzed.At the same time,by studying the relationship between the availability of small and micro loans in various provinces and the development index and sub indexes of digital inclusive finance,we further verify the characteristics of the mechanism of big data and large sample of supply and demand in promoting financing of small and micro enter-prises through digital inclusive finance,as well as the heterogeneity differences among different types of provinces.Results show that both big data and large sample have significant positive impact on improving the financing of small and micro enterprises.Developed provinces have obvious advantages in large sample compared with underdeveloped provinces,but their advantages in big data applica-tion are not significant.In the future,we will further promote financing for small and micro enterprises.Developed provinces will mainly enhance big data application technology and spill it over to underdeveloped provinces.Underdeveloped provinces will mainly fill the gaps in large samples of supply and demand,thus forming a comprehensive,coordinated,shared,and sustainable development situation.

digital inclusive financebig datalarge samples of supply and demand

顾锋娟、金德环、曾守桢

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中共宁波市委党校社会和生态文明教研部,浙江宁波 315031

上海财经大学金融学院,上海 200433

宁波大学商学院,浙江宁波 315211

数字普惠金融 大数据 大样本供需方

浙江省哲学社会科学规划一般课题国家社会科学基金重点项目

22NDJC181YB22ATJ003

2024

商业经济与管理
浙江工商大学

商业经济与管理

CSTPCDCSSCICHSSCD北大核心
影响因子:1.7
ISSN:1000-2154
年,卷(期):2024.(1)
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