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数字普惠金融对东北地区乡村生态宜居的影响机制研究

The impact mechanisms of digital inclusive finance on rural ecological livability in Northeast China

  • 摘要: 以数字普惠金融赋能乡村生态宜居,是提升农村金融资源配置效率、推进农村现代化建设和服务美丽中国的重要路径。本文基于2011—2022年东北地区36个地级市面板数据,运用熵权-TOPSIS模型测度乡村生态宜居水平,并构建固定效应模型、中介效应模型与异质性模型,系统分析数字普惠金融对乡村生态宜居的影响及其作用机制。研究发现:1)东北地区乡村生态宜居水平总体稳步提升,但区域差异明显,呈现以沈阳、哈尔滨为核心的“双峰”格局;2)数字普惠金融显著促进乡村生态宜居水平提升,并通过推动城镇化进程和产业结构高级化发挥中介作用;3)数字普惠金融对生态薄弱地区的促进效应更为显著,其覆盖广度、使用深度和数字化程度均表现出正向影响,但边际效应呈递减趋势。基于研究结论,提出夯实数字普惠金融基础设施建设、强化其在城镇化与产业结构升级中的协同作用、优化梯度化与差异化供给体系等政策建议。

     

    Abstract: Empowering rural ecological livability through digital inclusive finance is an important approach to improving the efficiency of rural financial resource allocation, advancing rural modernization, and contributing to the Beautiful China initiative. Based on panel data from 36 prefecture-level cities in Northeast China from 2011 to 2022, this paper employs the entropy-weighted TOPSIS model to measure the level of rural ecological livability and constructs fixed-effects models, mediation models, and heterogeneity analysis models to systematically examine the impact and mechanism of digital inclusive finance on rural ecological livability. The findings reveal that: 1) The overall level of rural ecological livability in Northeast China has steadily improved, yet regional disparities remain significant, exhibiting a “bimodal” pattern centered on Shenyang and Harbin; 2) Digital inclusive finance significantly enhances rural ecological livability, and this effect is partially mediated through the promotion of urbanization and industrial structure upgrading; 3) The facilitative effect of digital inclusive finance is more pronounced in ecologically fragile areas, and its three dimensions (coverage breadth, usage depth, and digitization level) all exert positive impacts, though with diminishing marginal effects. Based on these conclusions, policy recommendations are proposed, including strengthening digital inclusive finance infrastructure, enhancing its synergistic role in urbanization and industrial upgrading, and optimizing a gradient and differentiated supply system.

     

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