Transport costs, trade, and geographic concentration: Evidence from Canada

Arbeitspapier

Our objective is threefold. First, we explain how to estimate transport costs and the geographic concentration of industries using trucking microdata and geocoded plant-level data. Second, we document that transport costs explain between 25% to 57% of the observed relationship between trade and distance across Canada's economic regions. Last, we show that changes in transport costs have a substantial impact on geographic concentration patterns for vertically linked industries, depending on the strength of the links. A one standard deviation increase in transport costs leads to a 0.02 standard deviation decrease in geographic concentration for industry pairs at the bottom decile of the input-output coefficient distribution, whereas the corresponding effect at the top decile is a 0.02 standard deviation increase. This gap between weakly and strongly linked industries stands up to a wide range of specifications and is robust to instrumental variables estimations.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Document de travail ; No. 2017-09

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Size and Spatial Distributions of Regional Economic Activity ; Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models ; Industry Studies: Manufacturing: General
• Thema: Transport costs ; trade ; geographic concentration ; Canada

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Behrens, Kristian ; Brown, W. Mark
• Ereignis: Veröffentlichung
• (wer): Université du Québec à Montréal, École des sciences de la gestion (ESG UQAM), Département des sciences économiques
• (wo): Montréal
• (wann): 2017

Weitere Informationen

• Handle: http://hdl.handle.net/10419/234754
• Letzte Aktualisierung: 17.04.2025, 11:22 MESZ