驱动农业企业技术创新的普惠金融政策研究——基于江苏省的经验证据
Research on Inclusive Finance Policies for Technological Innovation of Agricultural Enterprises——Based on Empirical Evidence from Jiangsu Province
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摘要: 有效提高农业企业技术创新是实现农业强国战略的关键支撑,需要系统性的政策支持。文章关注普惠金融政策对农业企业技术创新的推动作用,基于政策组合理论和动态组态视角,探讨何种政策工具组合能够高效驱动农业企业的技术创新绩效。基于此,研究以江苏省2017—2024年普惠金融政策实践为样本,运用模糊集定性比较方法(fsQCA),系统考察了驱动农业企业高技术创新绩效的多元政策组态。研究发现:(1)驱动高技术创新绩效的政策组态具有显著的地域适配特征。在农业资源禀赋与数字化基础不同的区域,政策工具分别呈现出以资源驱动、信用赋能或风险分担为核心的不同组合模式。(2)有效政策组合随着数字金融的深化呈现出从基础性支持向精准化、差异化方向演进。(3)政策工具的有效性关键在于与地域产业特性、创新需求和数字化阶段的匹配程度。研究结论为助推农业企业技术创新、为政府设计差异化和精准化的政策工具提供了实证依据和启示。Abstract: Effectively enhancing technological innovation of agricultural enterprises is a key support for achieving the strategy of building a strong agricultural nation which requires systematic policy support. This article focuses on the promoting effect of inclusive financial policies on technological innovation of agricultural enterprises. Based on the policy mix theory and the dynamic configuration perspective it explores which combination of policy tools can efficiently drive the technological innovation performance of agricultural enterprises. Based on this the study takes the practice of inclusive financial policies in Jiangsu Province from 2017 to 2024 as a sample and uses the fsQCA(fuzzy set qualitative comparative analysis) method to systematically examine the multiple policy configurations that drive high performance of technological innovation of agricultural enterprises. The research findings are as follows:(1) The policy configurations that drive high performance of technological innovation of agricultural enterprises have significant regional adaptation characteristics. In regions with different agricultural resource endowments and digitalization foundations policy tools respectively present different combination models centered on resource-driven credit empowerment or risk-sharing.(2) Effective policy combinations evolve from basic support to precision and differentiation as digital finance deepens.(3) The effectiveness of policy tools lies in the degree of matching with regional industrial characteristics innovation demands and the stage of digitalization. The research conclusions provide empirical evidence and inspiration for promoting technological innovation of agricultural enterprises and for the government to design differentiated and precise policy tools.
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