China's Local Comparative Advantage
James Harrigan and
Haiyan Deng
No 13963, NBER Working Papers from National Bureau of Economic Research, Inc
Abstract:
China's trade pattern is influenced not just by its overall comparative advantage in labor intensive goods but also by geography. We use two variants of the Eaton-Kortum (2002) model to study China's local comparative advantage. The theory predicts that China's share of export markets should grow most rapidly where China's share is initially large. A corollary is that exporters that have a big market share where China's share is initially large should see the largest fall in their market shares. These market share change predictions are strongly supported in the data from 1996 to 2006. We also show theoretically that since trade costs are proportional to weight rather than value, relative distance affects local comparative advantage as well as the overall volume of trade. The model predicts that China has a comparative advantage in heavy goods in nearby markets, and lighter goods in more distant markets. This theory motivates a simple empirical prediction: within a product, China's export unit values should be increasing in distance. We find strong support for this effect in our empirical analysis on product-level Chinese exports in 2006.
JEL-codes: F1 F14 (search for similar items in EconPapers)
Date: 2008-04
New Economics Papers: this item is included in nep-cna, nep-dev, nep-int and nep-tra
Note: ITI
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)
Published as China's Local Comparative Advantage , James Harrigan, Haiyan Deng. in China's Growing Role in World Trade , Feenstra and Wei. 2010
Downloads: (external link)
http://www.nber.org/papers/w13963.pdf (application/pdf)
Related works:
Chapter: China's Local Comparative Advantage (2010) 
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:nbr:nberwo:13963
Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w13963
Access Statistics for this paper
More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().