摘要
随着城市化进程加速,夜间经济已成为推动城市经济和社会发展的重要力量。文章采用问卷调查的方法,构建以城市居民对夜间经济的满意度为因变量,以夜间经济活动的多样性、安全性、便利性、文化氛围和环境质量为自变量,以居民参与度和情感体验为中介变量,以政策支持为调节变量的理论模型。实证分析发现:夜间经济活动越多样、环境越安全便利、文化氛围越浓厚、环境质量越高,居民的满意度就越高;居民参与度和情感体验在自变量与因变量之间起部分中介作用,情感体验对满意度的直接效应尤为显著;政策支持力度显著增强了城市夜间经济质量对满意度的正向影响。文章揭示城市夜间经济满意度的多维影响因素,为政府和相关部门优化夜间经济政策提供理论依据和实践指导。
With the acceleration of urbanization,the night economy has become an important force in driving urban economic and social development.This study employs a survey questionnaire method to construct a theoretical model with urban residents’satisfaction with the night economy as the dependent variable,and the diversity,safety,convenience,cultural atmosphere,and environmental quality of night economic activities as the independent variables,residents’participation and emotional experience as mediating variables,and policy support as moderating variable.The empirical analysis reveals that:Firstly,the more diverse the night economic activities,the safer and more convenient the environment,the richer the cultural atmosphere,and the higher the environmental quality,the greater the residents’satisfaction;secondly,residents’participation and emotional experience play a partial mediating role between the independent and dependent variables,with the direct effect of emotional experience on satisfaction being particularly significant;finally,the intensity of policy support significantly enhances the positive impact of night economy quality on satisfaction.This study not only uncovers the multidimensional influencing factors of urban night economy satisfaction but also provides theoretical basis and practical guidance for governments and relevant departments to optimize night economy policies.
作者
韩旭
秦剑
HAN Xu;QIN Jian(Faculty of Applied Economics,University of Chinese Academy of Social Sciences,Beijing 102488,China;School of Economics and Management,Shanghai Institute of Technology,Shanghai 201418,China)
出处
《经济论坛》
2025年第12期15-27,共13页
Economic Forum
关键词
夜间经济
满意度
居民感知
多维影响因素
Night economy
Satisfaction
Residents’perceptions
Multidimensional influencing factors
