Changes in transport and non-transport costs: Local vs global impacts in a spatial network
Kristian Behrens (),
Andrea Lamorgese,
Gianmarco Ottaviano and
Takatoshi Tabuchi
Regional Science and Urban Economics, 2007, vol. 37, issue 6, 625-648
Abstract:
We develop a multi-country Dixit-Stiglitz trade model and analyze how industry location and welfare respond to changes in: (i) transport frictions (e.g., infrastructure, transportation technology); and (ii) non-transport frictions (e.g., tariffs, standards and regulations). We show that changes in non-transport frictions, which are usually origin-destination specific, do not allow for any clear prediction as to changes in industry location and welfare; whereas changes in transport frictions, which are usually not origin-destination specific, may allow for such predictions. In particular, we show that reductions in transport frictions occurring at links around which the spatial network is locally a tree are Pareto welfare improving.
Keywords: Trade; frictions; Multi-country; trade; models; Monopolistic; competition; Spatial; networks; International; integration (search for similar items in EconPapers)
Date: 2007
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (40)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166-0462(07)00051-8
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Changes in transport and non transport costs: local vs. global impacts in a spatial network (2007) 
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:eee:regeco:v:37:y:2007:i:6:p:625-648
Access Statistics for this article
Regional Science and Urban Economics is currently edited by D.P McMillen and Y. Zenou
More articles in Regional Science and Urban Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().