Replication Data for: The Politics of Rejection: Explaining Chinese Import Refusals

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Replication Data for: The Politics of Rejection: Explaining Chinese Import Refusals
Kim, Sung Eun; Perlman, Rebecca L.; Zeng, Grace, 2024, "Replication Data for: The Politics of Rejection: Explaining Chinese Import Refusals", https://doi.org/10.7910/DVN/8WGX9H, Harvard Dataverse, V1, UNF:6:ui8qtmkVfizGjYoH8vzjQA== [fileUNF]
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Description
Health and safety standards offer a convenient means by which governments can credibly claim to be protecting the population, even while pursuing less publicly-oriented goals. In the realm of international trade, such regulatory standards have most often been studied as a method of veiled protectionism that can help nations privilege domestic industry while skirting World Trade Organization requirements of openness. Yet precisely because health and safety standards create ambiguity about their intent and are therefore difficult to punish, nations may be incentivized to use them for goals that extend well beyond protecting domestic industry. In particular, we theorize that governments will, at times, enforce regulations in ways intended to exact political retribution. In order to show this, we collect and translate original data on import refusals by Chinese border inspectors between 2011 and 2019. Though ostensibly intended to keep dangerous products out of the hands of Chinese consumers, we demonstrate that import refusals have systematically been used by the Chinese government as a way to punish states that act against China's interest.
Subject Social Sciences
Keyword International political economy, Trade, Import refusals, China
Related Publication Kim, Sung Eun, Rebecca L. Perlman, and Grace Zeng. "The Politics of Rejection: Explaining Chinese Import Refusals" American Journal of Political Science Forthcoming. http://ajps.org/
Notes This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University.

The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the Center for Open Science.

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Readme.txt
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Published May 24, 2024
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MD5: cf7a3631d4e410c29ec5deba412a11bd
This is the Readme file.
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sps_codebook.pdf
sps_codebook.pdf
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Published May 24, 2024
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MD5: a4a4b3462edb801ae9b46992082d8c76
Codebook for sps_main.dta and sps_korea_port.dta
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sps_figure.R
R Syntax - 5.2 KB
Published May 24, 2024
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MD5: 398709a204d17e8a927c51da839725d3
R script that reproduces all figures in the main manuscript and the supplementary information.
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sps_figure_log.log
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Published May 24, 2024
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MD5: af94114e65a194c016a9f948755eaacd
Log file for running sps_figure.R.
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sps_korea_port.tab
Tabular Data - 71.2 KB
Published May 24, 2024
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5 Variables, 1528 Observations UNF:6:Ko+gGfdBUgJPRcrEmFvD8A==
Stata dataset used for calculating the share of entry ports that rejected Korean cosmetic and food products during the time of conflicts.
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sps_main.tab
Tabular Data - 1.7 MB
Published May 24, 2024
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16 Variables, 14904 Observations UNF:6:rcGaEGfjWM4BW1J/AoKJBA==
Stata dataset used for all the analyses presented in the main manuscript and the supplementary information.
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sps_table.do
Stata Syntax - 8.2 KB
Published May 24, 2024
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MD5: a180ce0dc33a3d08297ea5153f34d103
State do-file that reproduces all tables in the main manuscript and the supplementary information. It also includes a note about the Stata modules needed to be installed to run the analyses (estout and twopm).
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sps_table_log.log
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Published May 24, 2024
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MD5: f6886b927e3a6d4865b4bde0a51a7f0f
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sps_table_log.pdf
sps_table_log.pdf
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MD5: db8e3e36fef467ee5ca3b9468f698d25
PDF version of log file that highlights the statistical results reported in the manuscript.
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