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Kansas State University

Trade policy uncertainty

Abstract

dc:description.abstract

China has experienced tremendous growth in its exports to the world since the 1990’s. Its exports to the world rose from just 2 percent of the world’s share to close to 13 percent from 1990 to 2017. Its exports to the United States increased even more during the same period, from 3 percent to 33 percent. China’s WTO accession, awarding China permanent most favored nation (MFN) status, led to this dramatically increase in exports through a reduction in the US trade policy uncertainty (TPU). This report first reviews the sources of gains from trade and the gravity equation to estimate trade flow between countries. Second, this report illustrates why optimal tariffs are not zero and the effects of tariffs on trade volumes and import prices. TPU arises when countries have the power to increase tariffs. This report reviews the recent literature on the effects of reducing TPU on export growth, export prices, and product varieties. Handley and Limão (2017a) find that over one third of the export growth from China to U.S. after China’s accession to the WTO is accounted by the reduction in TPU between China and US.

Degree

thesis:*
Grantor dc:publisher
Kansas State University
Year dc:date.issued
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Duan, Chenchen

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • © the author. This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/2097/39642

Chain of custody

source
Harvested from
Kansas State University
Base URL
krex.k-state.edu/server/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
citation

Duan, Chenchen. Trade policy uncertainty. Kansas State University, 2019. http://hdl.handle.net/2097/39642