The location of industrial firms is an important matter of freight transport for the economical movement of goods in reducing transport costs and travel distance. This study suggests strategies for freight transport management, investigating the impact of transport infrastructure on the location choice of firms in the manufacturing industry by sector at the micro-spatial level using a time-fixed/region-random effects two-way error component model. The estimated models consider manufacturing firms classified into four sectors (i.e., high, medium-high, medium-low, and low technology). Different types of transport infrastructure variables were found to influence the location choice of firms, depending on the transport accessibility and cost-efficiency needs of each manufacturing sector. The findings presented in this paper provide evidence useful to establish geographical policy strategies towards infrastructure planning for smart growth.

工业企业的选址是货物运输的一个重要问题，可降低货物的运输成本和旅行距离，从而实现经济的货物流动。本研究提出了货运管理策略，使用时间固定/区域随机效应双向误差分量模型，在微观空间层面调查了运输基础设施对制造业企业选址的影响。估计模型将制造企业分为四个部门（即高、中高、中低和低技术）。发现不同类型的交通基础设施变量会影响公司的选址，这取决于每个制造业部门的交通可达性和成本效益需求。