基于2013—2023年我国区县面板数据,以年度夜间灯光最亮点识别区县经济活动中心,融合道路网络、商业兴趣点和人口栅格等多源微观地理大数据,采用双向固定效应模型,考察路网形态对区县中心商业集聚的影响。研究发现,道路密度、道路均匀覆盖度和道路方向多样性的提升显著促进了区县中心商业集聚。机制检验表明,路网形态通过促进人口集聚影响商业集聚,县域智能化则进一步强化了路网形态对商业集聚的促进效应。进一步分析表明,路网形态对不同商业业态均具有显著的促进作用,其所产生的商业效应可延伸至区县中心外围环带。研究结论为推进县域商业提质增效、完善生活性服务供给提供了经验证据。
Using panel data for Chinese districts and counties from 2013 to 2023, this study identifies their centers of economic activity based on the brightest nighttime-light pixel in each year. It integrates multisource micro-geospatial big data on road networks, commercial points of interest, and gridded population, and employs two-way fixed effects models to examine the effects of road network morphology on commercial agglomeration in district and county centers. The results show that increases in road density, coverage uniformity, and directional diversity significantly promote commercial agglomeration in these centers. Mechanism tests provide support for population agglomeration as a channel through which road network morphology influences commercial agglomeration. Smart transformation at the district and county level further strengthens these positive effects. Further analysis shows that road network morphology significantly promotes agglomeration across different types of commercial establishments, with its effects extending to surrounding rings. These findings provide empirical evidence to inform efforts to upgrade county-level commerce and improve the provision of consumer services.
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