Arbeitspapier

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

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.

Sprache
Englisch

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

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

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

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Behrens, Kristian
  • Brown, W. Mark
  • Université du Québec à Montréal, École des sciences de la gestion (ESG UQAM), Département des sciences économiques

Entstanden

  • 2017

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