福建省科技金融水平的测度、区域差异与动态演进分析
基金项目(Foundation): 国家社会科学研究基金一般项目“高频金融数据的相依函数回归模型统计分析与应用研究”（23XTJ002）; 数字福建气象大数据研究所和数据科学与统计重点实验室的资助
邮箱(Email):
DOI: 10.19473/j.cnki.1008-4940.2026.01.012
发布时间： 2026-02-20
出版时间： 2026-02-20
摘要：
基于福建省2012—2023年的面板数据，构建“环境-投入-产出”指标体系，运用熵值法测度科技金融水平，综合运用Dagum基尼系数、Kernel密度估计与Markov链方法，揭示其时序演进与空间格局。结果表明：福建省科技金融水平持续提升，呈现多中心集聚格局；总体差异来自两大协同区内部城市间的发展差距，区域间差异贡献微弱；核密度曲线右移右偏，呈现梯度分化特征；发展状态呈现依赖性与区域异质性，闽西南与闽东北分别遵循市场驱动稳态与政策驱动波动两种路径。据此提出差异化区域协同、培育中间层级企业、深化“一链一策”产业金融融合等建议。
Abstract：
Based on panel data from Fujian Province(2012-2023), this study constructs an “environment-inputoutput” indicator system to measure the level of science and technology finance using the entropy method. Integrating the Dagum Gini coefficient, Kernel density estimation, and Markov chain, it reveals temporal evolution and spatial patterns. The results show a continuous improvement in Fujian's sci-tech finance level, exhibiting a multi-center agglomeration pattern. Overall disparities primarily stem from development gaps within two major coordinated zones, with inter-regional differences contributing minimally. Kernel density curves shift rightward with a right skew, indicating gradient differentiation. Development exhibits state dependence and regional heterogeneity: southern Fujian follows a market-driven steady-state path, while northern Fujian follows a policy-driven volatile path. Accordingly, differentiated regional coordination, intermediate enterprise cultivation, and a “one chain, one policy” approach to industrial-financial integration are proposed.
