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2020 | OriginalPaper | Buchkapitel

4. The Day After Tomorrow: Evaluating the Burden of Trump’s Trade War

verfasst von : Miaojie Yu

Erschienen in: China-US Trade War and Trade Talk

Verlag: Springer Singapore

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Abstract

During his U.S. presidential campaign Donald Trump threatened China with the imposition of high import tariffs on its exports to the United States. To evaluate the repercussions of such an action, this paper uses Eaton and Kortum’s 2002 multi-sector, multi-country general equilibrium model with inter-sectional linkages to forecast how exports, imports, output, and real wages would change if the Trump’s threat of 45% tariffs is carried out. To view plausible scenarios, we evaluate the case of a unilateral action on the part of the United States, as well as a scenario where China retaliates by imposing an equally high 45% tariff on its imports from the United States. In addition, since the high U.S. trade deficit with China is a factor which underpins calls for tariff action, we explore simulations where the trade balance is restored to balance as well as a scenario in which the trade balance is unchanged. In all of the scenarios, the calibration exercise suggests that a trade war triggered by high U.S. import tariffs will lead to a collapse in U.S.-China bilateral trade. In all of the scenarios, the United States will experience large social welfare losses, while China may lose or gain slightly depending on the effect of trade war on the U.S.-China trade balance. Globally, some small open economies may experience small benefits, while other countries may suffer collateral damage.

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Fußnoten
1
For simplicity, we assume all countries achieve trade balance after the trade war starts. We will also consider the case in which trade imbalance remains.
 
2
Di Giovanni et al. (2014) adopted a similar framework to evaluate the gain from China’s trade integration with the world market and its fast technological changes. A few recent studies have introduced labor migration into the EK framework and explored the impact of goods and labor market frictions on economic growth and gain from trade (Galle et al. 2015; Caliendo et al. 2015; Tombe and Zhu 2015).
 
3
The Jackson-Vanik Amendment of 1974 which denied preferential trade policies to some countries was often targetted at communist countries. While the application of this amendment was waived by U.S. presidents, the amendment required an annual congressional renewal of China’s MFN status.
 
4
The proportion of machine and computer imports also dropped in recent years from 25.11% in 2013 to 23.13% in 2016.
 
5
Please see Caliendo and Parro (2015) for details on basic setup and relative changes in equilibiria of the model.
 
6
Please see OECD ICIO (2015) for the 61 countries and 34 sectors. The remaining sample countries that are not identified in the text. We also list the main 18 tradable sectors in the following tables and 15 service sectors are not specified in the text.
 
7
Half of countries do not collect the data on this sector.
 
8
Athukorala and Khan (2016) suggests that the American relative prices of parts and components are remarkably less sensitive to changes in relative prices compared with that of final goods. For this reason, it would be beneficial to use even more disaggregated industrial data in future research.
 
9
Admittedly, China’s current average import tariff is around 9%. Therefore, a hypothesized 45% high import tariff against China is similar to the effective 36% import tariff against the same country, which is a typical number of China’s special safeguard tariffs imposed by the United States in the past years.
 
10
Column \( Y_{USA}^{j} \) (\( L_{USA}^{j} \)) presents the changes in the U.S. output (labor). We use Cobb-Douglas production function with labor and intermediate inputs for all sectors. The changes in sectoral labor inputs are equal to the output changes minus the changes in nominal wage. Since wage is equalized in all sectors within country, the changes in labor shares across different sectors in a country is proportional to the sectoral output changes. This result holds for all cases.
 
11
We thank Professors Wing Thye Woo and Fukunari Kimura for these insightful suggestions.
 
Metadaten
Titel
The Day After Tomorrow: Evaluating the Burden of Trump’s Trade War
verfasst von
Miaojie Yu
Copyright-Jahr
2020
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-3785-1_4