Geographic politics, loss aversion and trade policy: The case of cotton in China
Wenshou Yan and
Kaixing Huang ()
The World Economy, 2022, vol. 45, issue 9, 2854-2881
Abstract:
This paper seeks to explain how China's trade policy responses to world price fluctuations by considering the role of loss aversion and reference dependence. In order to analyse the effect of loss aversion on trade distortion in one‐party dominated countries where monetary contribution may not be feasible, we modify the model of Freund and Özden (American Economic Review, 2008, 98, 1675) to obtain a model in which loss aversion no longer works through monetary contribution but through political supports from politically sensitive groups. We then test the theoretical predictions by using data from China's cotton sector. The modified theoretical model predicts that loss aversion and reference dependence still have effects on the trade distortion in countries where monetary contribution may not be feasible and that the trade distortions are higher (lower) when the world price is lower (higher) than the targeted domestic reference price, which measures reference dependence. Our empirical evidence from China's cotton sector supports these theoretical predictions.
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/twec.13222
Related works:
Working Paper: Geographic Politics, Loss Aversion, and Trade Policy: The Case of Cotton and China (2016) 
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:bla:worlde:v:45:y:2022:i:9:p:2854-2881
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0378-5920
Access Statistics for this article
The World Economy is currently edited by David Greenaway
More articles in The World Economy from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().