Empirical studies of logistics location choice have largely focused on logistics as a single sector. This research attempts to address this research gap by analysing the heterogeneity in locational preferences of logistics across facility types and sizes. We estimate a multinomial logistic regression model to study the relative impact of various spatial drivers on logistics development in the Netherlands. We explicitly assess the role of a government policy aimed at stimulating logistics growth. We find that factors such as highway and rail accessibility, proximity to consumers and urban areas, land availability, and proximity to other logistics firms have a positive effect across all logistics categories while restrictive zoning measures have a negative effect. On the contrary, the effects of factors such as access to seaports and freight terminals, urban attractiveness, and land price are more heterogeneous and vary with the function and size of logistics. Finally, our analysis also reveals positive effects of the logistics growth stimulating spatial policy. Using our estimated parameters, we also map the predicted probabilities to identify potential future locations for logistics development.

中文翻译：

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荷兰物流发展的空间驱动因素


物流选址的实证研究主要集中在物流作为一个单一的部门。本研究试图通过分析不同设施类型和规模的物流位置偏好的异质性来解决这一研究差距。我们估计了一个多项式 logistic 回归模型，以研究各种空间驱动因素对荷兰物流发展的相对影响。我们明确评估旨在刺激物流增长的政府政策的作用。我们发现，高速公路和铁路的可达性、靠近消费者和城市地区、土地可用性以及与其他物流公司的接近程度等因素对所有物流类别都有积极影响，而限制性分区措施则具有负面影响。相反，海港和货运站的便利性、城市吸引力和土地价格等因素的影响更加异质，并且随着物流的功能和规模而变化。最后，我们的分析还揭示了物流增长刺激空间政策的积极影响。使用我们的估计参数，我们还绘制了预测概率，以确定物流发展的潜在未来位置。