Can Neg Explain the Spatial Distribution of Wages of Chile?

The new economic geography (NEG) has been tested to explain the spatial concentration of wages in developed countries, but it has not been evaluated for developing countries where the excessive spatial concentration seems to be related with negative consequences on the economic development. This paper covers this gap in the literature estimating by first time a NEG model for a developing country such as Chile, pursuing two research question: (1) Can the NEG explain the spatial distribution of wages in a developing country as Chile?; and (2) How can the NEG be used to infer information about th... Mehr ...

Verfasser: Dusan Paredes
Dokumenttyp: Artikel
Reihe/Periodikum: Tijdschrift voor economische en sociale geografie
Verlag/Hrsg.: Oxford, Wiley-Blackwell
Sprache: Niederländisch
ISSN: 0040-747X
Weitere Identifikatoren: doi: 10.1111/tesg.12088
Permalink: https://search.fid-benelux.de/Record/olc-benelux-196702507X
URL: NULL
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Datenquelle: Online Contents Benelux; Originalkatalog
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Link(s) : http://dx.doi.org/10.1111/tesg.12088
http://dx.doi.org/10.1111/tesg.12088

The new economic geography (NEG) has been tested to explain the spatial concentration of wages in developed countries, but it has not been evaluated for developing countries where the excessive spatial concentration seems to be related with negative consequences on the economic development. This paper covers this gap in the literature estimating by first time a NEG model for a developing country such as Chile, pursuing two research question: (1) Can the NEG explain the spatial distribution of wages in a developing country as Chile?; and (2) How can the NEG be used to infer information about the future level of spatial concentration of wages in Chile? The results suggest that the case of Chile is poorly explained by the NEG and even higher level of spatial concentration should be expected in the future. These results indicate that the empirical application of NEG is not trivial for developing countries, and some considerations such as inclusion of the first nature or analysis at micro data level must be incorporated by future researches.