金融科技与资本错配:“雪中送炭”还是“雪上加霜”
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作者:
作者单位:

1.南京农业大学 经济管理学院,江苏 南京 210095;2.安徽财经大学 国际经济贸易学院,安徽 蚌埠 233030

作者简介:

牛雯琦,南京农业大学经济管理学院博士研究生,Email:n7777777iu@163.com
李光勤(通信作者),安徽财经大学国际经济贸易学院教授,硕士研究生导师,Email:zjfcligq@126.com
张廷海,安徽财经大学国际经济贸易学院教授,硕士研究生导师,Email:zth@aufe.edu.cn。

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中图分类号:

F124;F832;F837

基金项目:

国家自然科学基金面上项目“新型城镇化与城市产业结构优化:耦合机制、空间匹配效应与政策设计”(71974002);安徽财经大学研究生科研创新基金项目“金融科技对FDI区位选择的影响研究”(ACYC2022355)


Fintech and capital mismatch: Sending charcoal in snow or adding frost to snow
Author:
Affiliation:

1.School of Economics and Management, Nanjing Agricultural University, Nanjing 210095, P.R.China;2.School of International Economics and Trade, Anhui University of Finance and Economics, Bengbu 233030, P.R.China

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    摘要:

    党中央关于制定“十五五”规划的建议指出,促进各类要素资源高效配置,建立健全城乡统一的建设用地市场、功能完善的资本市场、流动顺畅的劳动力市场、转化高效的技术市场。作为最重要的生产要素之一,我国资本市场存在结构性错配问题,而创新的金融产品和服务是畅通资本流动的有效载体。金融科技依托云计算、大数据、区块链、人工智能等数字技术,将先进手段应用于金融服务全流程,创造有别于传统金融的商业模式、应用和产品,实现金融业务的创新升级。在转变经济发展方式的现实需求下,探究金融科技与资本错配的关系对于优化资源配置、构建新发展格局具有重要意义。尽管已有文献从金融发展视角寻求改善资源配置之道,但鲜有文献直接将金融科技与资本错配纳入同一分析框架展开研究,且因金融科技的技术驱动属性,其作用效果对资本条件提出一定要求。有鉴于此,文章通过“城市+年度+金融科技关键词”检索百度网页,用总搜索结果页面数量度量城市—年份的金融科技水平,基于C-D生产函数测算地区资本错配指数,利用2005—2021年283个地级城市面板数据,运用双向固定效应、工具变量等模型分别探讨在资本配置过度和资本配置不足情况下金融科技对资本错配的影响效应及作用机制。结果发现:资本配置过度时,金融科技能够改善资本配置过度程度,即存在“雪中送炭”的现象,资本配置不足时,金融科技反而恶化资本配置不足程度,即存在“雪上加霜”的现象,经过潜在内生性处理和一系列稳健性检验后该结论仍然成立;异质性分析显示,金融科技对资本错配的影响作用存在基于劳动力配置情况的异质性,主要体现在资本配置过度时,金融科技对劳动力配置不足地区的改善作用更显著;机制分析表明,金融升级效应、创新环境效应和政府治理效应在金融科技影响资本错配的过程中起到调节作用。基于此,文章建议推动金融科技在资本市场的应用,尤其关注“嫌贫爱富”问题,发挥金融科技的普惠服务价值;提升金融科技支持创新能力水平,更好服务科技创新,增强金融科技发展可持续性;斟酌审视政府作用,减少不合理的政府干预,促进金融科技健康发展,从而优化地区资本配置,实现经济高质量发展。

    Abstract:

    Recommendations of the Central Committee of the Communist Party of China for Formulating the 15th Five-Year Plan for National Economic and Social Development point out that it is necessary to promote the efficient allocation of various factor resources, and establish and improve a unified urban-rural construction land market, a capital market with complete functions, a labor market with smooth mobility, and a technology market with efficient transformation. As one of the most important factors of production, there is a structural mismatch in China’s capital market, and innovative financial products and services are the effective carriers of smoothing capital flow. Relying on cloud computing, big data, blockchain, artificial intelligence and other digital technologies, fintech applies advanced means to the whole process of financial services, creates business models, applications and products different from traditional finance, and realizes the innovation and upgrading of financial business. Under the realistic demand of transforming the mode of economic development, it is significant to explore the relationship between fintech and capital mismatch to optimize resource allocation and build a new development pattern. Although the literature has sought to improve resource allocation from the perspective of financial development, there is little literature that directly incorporates fintech and capital mismatch into the same analytical framework, and because of the technology-driven attributes of fintech, its effect imposes requirements on capital conditions. So, this paper searches Baidu’s webpage through the keywords of “city+year+fintech”, measures the level of fintech in the city-year with the total number of search result pages, measures the capital mismatch index based on the C-D production function, and utilizes panel data of 283 prefectural-level cities in the period of 2005-2021, and uses the models of two-way fixed effect and instrumental variables to explore the effect of fintech on capital mismatch and its functioning mechanism under the situation of over-allocation and under-allocation of capital, respectively. It is found that when capital is over-allocated, fintech can improve the degree of over-allocation, i.e. there is the phenomenon of sending charcoal in snow, and when capital is under-allocated, fintech worsens the degree of under-allocation, i.e. there is the phenomenon of adding frost to snow, and this conclusion still holds after the endogeneity treatment and a series of robustness tests. Heterogeneity analysis shows that there is heterogeneity in the role of fintech in influencing capital mismatch based on the labor allocation situation, which is mainly reflected in the fact that when capital is over-allocated, fintech has a more significant improving effect on labor under-allocated areas. Mechanism analysis shows that financial upgrading effect, innovation environment effect and government governance effect play a moderating role in the process of fintech affecting capital mismatch. Based on this, we suggest promoting the application of fintech in the capital market, especially focusing on the problem of disliking the poor and liking the rich, and giving play to the value of fintech’s inclusive services; upgrading fintech’s ability to support innovation, better serving scientific and technological innovation, and enhancing the sustainability of fintech’s development; reviewing the role of the government, reducing unreasonable government intervention, and promoting the healthy development of fintech, so as to optimize the allocation of regional capital and achieve high-quality economic development.

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牛雯琦,李光勤,张廷海.金融科技与资本错配:“雪中送炭”还是“雪上加霜”[J].重庆大学学报社会科学版,2025,31(6):41-56. DOI:10.11835/j. issn.1008-5831. jg.2025.04.008

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  • 在线发布日期: 2026-01-20
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