2002
DOI: 10.1080/13504850110095792
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A political economic analysis of Congressional voting on permanent normal trade relations of China

Abstract: The paper provides an empirical examination of the determinants of support for Permanent Normal Trade Relations Status (PNTR) for China in the United States Congress. A logistic regression model and control is estimated for both economic and political influences. It is found that business political action committee (PAC) contributions to lawmakers and the skill level of the constituency had a significant positive influence on lawmakers' voting in favour of PNTR. Political affiliation, import-competing industri… Show more

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Cited by 30 publications
(6 citation statements)
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“…However, employment in the textile industry has a negative but not statistically significant impact on the probability of a 'yes' vote in our model. Hasnat and Callahan (2002), by contrast, find that employment in textiles significantly reduced the likelihood of voting for PNTR. Similarly, we do not find evidence that the vote was significantly influenced by the overall industrial structure of the congressional districts.…”
Section: Results and Policy Discussionmentioning
confidence: 73%
See 4 more Smart Citations
“…However, employment in the textile industry has a negative but not statistically significant impact on the probability of a 'yes' vote in our model. Hasnat and Callahan (2002), by contrast, find that employment in textiles significantly reduced the likelihood of voting for PNTR. Similarly, we do not find evidence that the vote was significantly influenced by the overall industrial structure of the congressional districts.…”
Section: Results and Policy Discussionmentioning
confidence: 73%
“…23 A high dependence on exports to China did not have a significant impact on voting in favor of PNTR, although the sign is as expected. Hasnat and Callahan (2002), with a single equation model, also do not find a significant export effect.…”
Section: Results and Policy Discussionmentioning
confidence: 75%
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