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Review of International Economics
Article . 2022 . Peer-reviewed
License: CC BY NC ND
Data sources: Crossref
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Review of International Economics
Article . 2023
License: CC BY NC ND
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On the revealed comparative advantages of Dutch cities

Authors: Steven Brakman; Tijl Hendrich; Charles van Marrewijk; Jennifer Olsen;

On the revealed comparative advantages of Dutch cities

Abstract

AbstractDavis and Dingel explain the distributions of skills, occupations, and sectors across cities. Their model predicts that larger cities will be relatively skill‐abundant and specialize in skill‐intensive activities. This relates the model to factor‐driven comparative advantages. They also develop an elasticity test and pairwise comparison test for the spatial distributional implications of the model. What is not analyzed, however, is the associated structure of trade flows. This next step—the analysis of the structure of trade—is the main contribution of our article. We combine micro‐economic data to analyze how the sorting process of factors of production across cities determines the revealed comparative advantage (RCA) distributions of Dutch cities. We find that (i) the sorting of factors of production across cities is consistent with Davis and Dingel, (ii) RCA patterns differ significantly across locations, (iii) RCA differences can be explained by the interaction of local skill‐abundance and sector skill‐intensity (in line with the factor abundance model), and (iv) the RCA analysis relative to the Netherlands mostly, but not always, coincides with that relative to the world.

Country
Netherlands
Keywords

location characteristics, Geography, Planning and Development, comparative advantage, cities, Development

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green
hybrid