This paper examines individual trade policy preferences across 17 countries in Latin America. The focus is on whether skilled or unskilled workers are more likely to support liberalised trade and on whether country characteristics, such as factor endowments, alter the preferences of skilled and unskilled workers. Based on the standard Heckscher‐Ohlin model and the Stolper‐Samuelson theorem, wage inequality in developing countries will decrease under free trade and unskilled workers will benefit. We find that on average skilled workers are more likely than unskilled workers to support free trade in Latin American countries. Separate country regressions reveal that this pattern is only statistically significant in 8 out of 17 Latin American countries. However, there are no countries in our sample in which unskilled workers are statistically more likely to support free trade than skilled workers, not even in the lowest skill‐endowed country in the sample. We also find that people from Latin American countries with higher GDP, faster growth, more cropland and a longer period of time since reform were more likely on average to support free trade.
The article looks at the impact of preference, given under the bilateral free trade agreements Sri Lanka has signed with India and Pakistan. The focus here is on the export side and away from the import angle. This article identifies where the greatest preferences are offered to Sri Lanka-based exporters and analyzes the relationship between preferences and the export outturn. Preferences are calculated incorporating the current levels of protection in India and Pakistan. The article argues that successful Sri Lankan exporters’ penetration of the large Indian market, as reflected by the doubling of total exports over 2003–05, actually reflects a very concentrated increase in exports of a few products. Controlling for industry effects, preferences do not have a statistically significant impact on exporting to India.
Some rights reserved 1 2 3 4 24 23 22 21 This work is a product of the staff of The World Bank with external contributions. The findings, interpretations, and conclusions expressed in this work do not necessarily reflect the views of The World Bank, its Board of Executive Directors, or the governments they represent. The World Bank does not guarantee the accuracy, completeness, or currency of the data included in this work and does not assume responsibility for any errors, omissions, or discrepancies in the information, or liability with respect to the use of or failure to use the information, methods, processes, or conclusions set forth. The boundaries, colors, denominations, and other information shown on any map in this work do not imply any judgment on the part of The World Bank concerning the legal status of any territory or the endorsement or acceptance of such boundaries.Nothing herein shall constitute or be considered to be a limitation upon or waiver of the privileges and immunities of The World Bank, all of which are specifically reserved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.