The price of distance: pricing-to-market and geographic barriers
Information frictions in trade
Kazuko Kano,
Takashi Kano and
Kazutaka Takechi
Journal of Economic Geography, 2022, vol. 22, issue 4, 873-899
Abstract:
Trade costs contribute to price differentials across geographically separated regions. However, when using price differential data, the identification of distance-elastic trade costs depends on how producers set prices in remote markets. To address this problem, we first empirically demonstrate that a variable markup model is more relevant than a constant markup model to describe the data variation. We then adopt a nonhomothetic preference framework to consider pricing-to-market and self-selection bias to pin down the distance effect. If these factors are not accounted for, the distance elasticity of trade costs is small. However, by incorporating these mechanisms, our empirical analysis using micro-level data reveals that the distance effect is significantly large, suggesting that the price of geographic barriers to regional trade is high.
Keywords: Trade costs; geographic barriers; sample selection; pricing-to-market (search for similar items in EconPapers)
JEL-codes: F12 F14 F41 (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://hdl.handle.net/10.1093/jeg/lbab013 (application/pdf)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:oup:jecgeo:v:22:y:2022:i:4:p:873-899.
Ordering information: This journal article can be ordered from
https://academic.oup.com/journals
Access Statistics for this article
Journal of Economic Geography is currently edited by Jorge De la Roca, Stephen Gibbons, Simona Iammarino, Amanda Ross and James Faulconbridge
More articles in Journal of Economic Geography from Oxford University Press Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().