Hostname: page-component-76d6cb85b7-xh428 Total loading time: 0 Render date: 2026-07-16T04:48:57.172Z Has data issue: false hasContentIssue false

How promise breaking in trade rhetoric shapes attitudes toward bilateral US-China trade cooperation

Published online by Cambridge University Press:  10 October 2022

Tanja Schweinberger*
Affiliation:
Postdoctoral researcher, University of Zurich, Department of Political Science, Zurich, Switzerland
*
Corresponding author: Tanja Schweinberger, email: schweinberger@ipz.uzh.ch
Rights & Permissions [Opens in a new window]

Abstract

The ongoing trade war between the United States and China represents one of the most severe deteriorations of trade cooperation in modern times. In this context, the ferocious trade rhetoric accusing China of breaking promises in trade policy is striking. A previously unexamined question in this context arises: How does this rhetoric shape individual attitudes toward bilateral trade cooperation? My analysis of original survey experiments from the United States and China (n = 4181) suggests that this type of rhetoric has important ramifications. Experimental evidence from both countries suggests that individuals react more strongly to rhetoric emphasizing negative than positive past behaviour of the trading partner. Overall, this pattern prevails independently of the identity of the trading partner. Promise-breaking trade narratives, a key contextual dimension of the US-China trade war, diminish the perceived level of trustworthiness of the other country. A conjoint analysis suggests that individuals’ trade cooperation attitudes are also shaped by rhetoric targeting issue areas beyond trade, such as military affairs and human rights. These findings highlight the importance of contextual factors accompanying the US-China trade war context. Thereby, this article emphasizes the potential for political elites to effectively leverage fundamental individual fairness principles for invigorating opposition to open trading relations.

Information

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press on behalf of V.K. Aggarwal
Figure 0

Figure 1. Frequency of the words “breaking,” “keeping,” “promises,” and “commitments” in bilateral trade news from the New York Times.

Figure 1

Table 1. Overview of the treatment combinations

Figure 2

Figure 2. Mean response of participants according to Past Behaviour Treatments for the Outcome Variable Bilateral Trade Cooperation Support (“To what extent do you support your country signing a new trade agreement with the other country?”).

Figure 3

Figure 3. Mean response of participants according to Past Behaviour Treatments for the Manipulation Check (“How trustworthy do you regard the other country in the aforementioned question?”).

Figure 4

Figure 4. Responses to past behaviour and country identity treatments. These models visualize the interaction effects between past behaviour and identity of the other country. (Behaviour*Country Identity) on Bilateral Trade Cooperation Support (“To what extent do you support your country signing a new trade agreement with the other country?”). The model specifications are in the Appendix section “Tables corresponding to results in Figure 4a and Figure 4b.”

Figure 5

Figure 5. Conjoint results indicating which proposal is preferred. Point estimates represent the mean outcome across all conjoint attribute levels, averaged across all other attributes.86 Output generated with the cregg Package.87

Figure 6

Table A1. Number of Respondents In Each Treatment Group

Figure 7

Table A2. Distribution of responses to outcome variable: “To what extent do you support your country signing a new trade agreement with the other country?”

Figure 8

Table A3. Treatments and covariates for responses

Figure 9

Figure A1. Heterogeneous treatment effects.

Figure 10

Table A4. Effects of Past Behaviour * Identity on Cooperation—US citizens

Figure 11

Table A5. Effects of Past Behavior * Identity on Cooperation—Chinese citizens

Figure 12

Figure A2. Proportion mediated by trustworthiness in US and Chinese responses. Comparison between the treatment group “reliability” and “unreliability.”

Figure 13

Figure A3. Causal mediation analysis with “Keep” as the control value and “Break” as the treatment value. Output generated with the Mediate Package.103

Figure 14

Figure A4. Sensitivity analysis of causal mediation analysis. Output generated with medsens Package.104

Figure 15

Figure B1. Screenshot of respondent view of conjoint study in Qualtrics.