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数字金融、路径突破与制造业高质量创新——兼论金融服务实体经济的创新驱动路径 被引量:17

Digital Finance,Path Breakthrough and High-quality Innovation in Manufacturing
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摘要 中国以渐进式为主的创新路径制约了科技与产业自立自强,同时“科技—产业—金融”良性循环有待完善。本文将创新效率和劳动生产率双重因素纳入异质性企业理论框架,揭示了数字金融对制造业创新路径与创新要素资源配置效率的作用机制。本文采用专利引用网络分析法有效刻画了创新路径,基于中国工业企业创新调查和数字普惠金融指数匹配数据的经验研究证实:(1)总体方面,数字金融通过正向的成本节约效应、人力资本匹配效应、技术溢出效应和负向的行业竞争效应,显著提升了制造业创新数量和创新质量;(2)路径方面,数字金融对突破式创新的影响受到创新效率和劳动生产率的调节作用,高创新效率与低劳动生产率的企业倾向于实施突破式创新;(3)资源配置方面,数字金融对行业创新要素资源配置效率具有显著正向促进作用,通过资源再配置效应降低了行业内创新效率离散度。本文对金融强国战略下促进实体经济创新路径突破具有一定参考价值。 Innovation-driven development has become the fundamental driver for China to achieve high-quality growth.The transformation from an incremental innovation model to a breakthrough innovation model has become necessary to strengthen China’s self-reliance on scientific and technological development.Promoting the shift in the innovation path of micro entities represented by manufacturing and constructing virtuous cycles of“science-technology-industry-finance”can be an effective path.Digital finance plays a vital role in this process.As a new financial model based on digital technology that facilitates financing,payment,and investment,digital finance is inclusive,intelligent,and low-cost.Represented by mobile payments,digital insurance,and internet lending,digital finance improves the efficiency of financial services and integration with the real economy.A potential path is to optimize the development of digital finance to promote the upgrading of the manufacturing innovation path.Can emerging models represented by digital finance effectively enhance innovation development in the real economy and promote the transformation of China’s innovation model from incremental to breakthrough?Studying this issue will provide an important micro-level theoretical basis for China’s high-quality development.The current literature has some limitations in analyzing the mechanisms and measurements of how digital finance affects corporate innovation.First,existing studies mainly focused on easing financing constraints or intensifying industry competition to explain mechanisms,lacking analysis of other channels such as factor endowment structures and technology spillover.Second,the measurement of innovation relies on patent applications and lacks detailed analysis,especially the analysis of heterogeneous innovation paths.This study establishes an extended theoretical framework of heterogeneous firms,revealing the costsaving effect,human capital matching effect,technology spillover effect,and industry competition effect.Using micro-level firm data and patent database from 2011 to 2014,we develop a citation network analysis approach to identify firms’innovation paths to empirically examine the effects of digital finance.Digital finance significantly improves the quantity and quality of manufacturing innovation through a positive cost-saving effect,human capital matching effect,technology spillover effect,and negative industry competition effect.Moreover,the impact of digital finance on manufacturing firms’innovation is moderated by innovation efficiency.Further,digital finance has a significant positive effect on the resource allocation efficiency of industry innovation factors and decreases the dispersion of innovation efficiency in the industry through the resource reallocation effect.Furthermore,digital finance impacts manufacturing firms’selection of innovation paths.Firms exhibit differentiated preferences over incremental versus breakthrough innovation depending on their labor productivity and innovation efficiency attributes.Specifically,firms with high labor productivity and low innovation efficiency tend to opt for incremental innovation;firms with low labor productivity and high innovation efficiency lean toward breakthrough innovation;“dual-high”firms prefer a mixed approach of both incremental and breakthrough innovation;and“dual-low”firms tend not to engage in innovative activities.The main contributions of this study are as follows.First,it enriches the theoretical analysis of how digital finance affects corporate innovation by considering heterogeneous cost structures and asymmetric technology spillovers.It provides a direct research foundation of how external environment optimization can facilitate corporate digital transformation.Second,we improve the measurement of innovation quality and path based on citation network analysis.We pioneer the measurement of innovation path proxies using Chinese microdata,offering a methodology for examining breakthrough innovation paths for high-quality growth.In addition,we provide micro-evidence that financial innovation promotes the transformation of the innovation path of the real economy,providing information for policy formulation.Overall,this study has reference value for financial industry model innovation to promote the path breakthrough of manufacturing industry innovation.
作者 诸竹君 袁逸铭 许明 柴斌锋 ZHU Zhujun;YUAN Yiming;XU Ming;CHAI Binfeng(School of Economics and Modern Business Research Center,School of Economics,Zhejiang Gongshang University;School of Economics,Zhejiang University;Faculty of Applied Economics,UCASS;School of Accounting,Zhejiang Gongshang University)
出处 《数量经济技术经济研究》 CSSCI CSCD 北大核心 2024年第4期68-88,共21页 Journal of Quantitative & Technological Economics
基金 国家社会科学基金重大项目(23&ZD085、22&ZD162) 国家社会科学基金重点项目(22AJL010)的资助。
关键词 数字金融 创新路径 资源配置 创新效率 Digital Finance Innovation Path Resource Allocation Innovation Efficiency
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