Inequality and Trade Policy: The Pro‐Poor Bias of Contemporary Trade Restrictions

Published date01 November 2019
AuthorBeyza Ural Marchand
Date01 November 2019
DOIhttp://doi.org/10.1111/roiw.12433
© 2019 Internation al Association for Re search in Inco me and Wealth
S123
INEQUALITY AND TRADE POLICY: THE PRO-POOR BIAS OF
CONTEMPORARY TRADE RESTRICTIONS
by beyza Ural MarchaND*
Departme nt of Economics,Un iversity of Alberta
This paper studies the pro-poor bias of trade policy in India by estimating the household welfare effects
of removing the current protection structure. The elimination of a pro-poor trade policy is expected to
have a negative differential welfare effect at the low end of the distribution. The paper first constructs
trade restrictiveness indexes for household consumption items and industries using both tariffs and
non-tariff barriers. The results indicate that Indian trade policy is regressive through the expenditure
channel as it disproportionately raises the cost of consumption for poorer households, while it is pro-
gressive through the earnings channel. Based on the net welfare effects, the elimination of the current
trade protection structure is estimated to reduce inequality. These results indicate that a trade policy
that is progressive through the earnings channel may induce a price effect that is regressive through the
expenditure channel.
JEL Codes: D31, F14, I30, O12
Keywords: consumption inequality, poverty, trade protection
1. INtroDUctIoN
This paper empirically evaluates the pro-poor bias of the current trade protec-
tion structure in a developing country, India. There is a large literature on the
impact of international trade on inequality in developing countries.1 However, lit-
tle is known about the pro-poor bias of contemporary trade policies. This paper
aims to determine the distributional properties of the existing trade protection
structure by estimating the impact of eliminating all tariff and non-tariff barriers
and moving to a free trade regime.
Within the past three decades, world trade has expanded rapidly from 36 per-
cent of global GDP in 1986 to 56 percent in 2016 (World Bank, 2016). The integra-
tion of developing countries has played an important part, as they now account for
1For extensive reviews of the literature, see Goldberg and Pavcnik (2007, 2016), and Winters etal.
(2004).
Note: I would like to thank the participants at the IARIW–ICRIER Conference in Delhi, India in
November 2017; the Empirical Investigations in Trade and Investment (EITI) Conference in Tokyo,
Japan in February 2018; the Institutions, Trade, and Economic Development (InsTED) Workshop at
Syracuse University in May 2018; the Department of Economics seminar at Ryerson University in May
2018; and the Western Economic Association International (WEAI) Conference in June 2018. The
project is funded by the Shastri Indo-Canadian Institute with the assistance of the Government of
Canada. The usual disclaimer applies.
*Correspondence to: Beyza Ural Marchand, Department of Economics, University of Alberta,
7–12 Tory Building, Edmonton, AB, T6G 2H4, Canada (beyza.ural@ualberta.ca).
Review of Inc ome and Wealth
Series 65, Numb er S1, November 2019
DOI : 10.1111 /roi w.124 33
bs_bs_banner
Review of Income and Wealth, Series 65, Number S1, November 2019
S124
© 2019 Internation al Association for Re search in Inco me and Wealth
43 percent of world exports (World Trade Organization, 2016). This rapid expan-
sion in world trade has been accompanied by negative changes in the attitudes
toward trade, especially in developed countries, and this pushback against free
trade appears to result from inequality concerns (Pavcnik, 2017; Frankel, 2018). It
is, therefore, important to understand whether the current trade policy is exacer-
bating or mitigating the inequality levels within countries. This paper answers the
following question: what would the distributional impact be if the country were to
move from the current trade policy to free trade? If the existing trade policy is pro-
poor, a complete trade liberalization should lead to higher welfare losses for poor
individuals, or in the case of gains, they should experience smaller gains, and as a
result, inequality should increase (Nicita etal., 2014).
Most of the literature on trade and inequality studies the sharp changes in trade
policies such as trade liberalization or free trade agreements. However, trade poli-
cies have evolved since countries went through major trade liberalization episodes,
especially developing countries such as China and India. The textbook predictions
based on the Heckscher–Ohlin model suggest that developing countries should
experience a reduction in poverty and inequality as a result of trade liberalization.
This is based on the prediction that an unskilled-labor-abundant country would
protect its skilled-labor-intensive sectors. In that case, removal of this protection
would lower relative returns to skilled labor, thus lowering inequality. However, in
some developing countries, including Mexico, Morocco, and Colombia, the initial
structure of protection was not consistent with this premise, as their trade liberal-
ization actually involved bigger tariff declines in unskilled-labor-intensive indus-
tries, leading to an increase in inequality (Goldberg and Pavcnik, 2007). Given their
initial protection structure, the increase in inequality observed in these countries
was consistent with the Stolper–Samuelson theorem. This implies that predictions
about trade and inequality that ignore the initial protection structure potentially
miss a crucial element that is driven by political economy mechanisms within that
country, or other dynamics not included in the model.
Following the literature on household welfare impacts of trade, the paper
examines the impact on households through their earnings and expenditures in a
unified framework in order to evaluate the contribution of these channels in the
overall pro-poor bias of trade policy (Deaton, 1997; Porto, 2006; Nicita, 2009;
Ural Marchand, 2012; Nicita etal., 2014). Changes in trade policy affect domes-
tic prices, which in turn influence production and consumption outcomes at the
household level. While the effect on wages is extensively studied, the effect on
household consumption is often overlooked (Goldberg and Hellerstein, 2013; Han
etal., 2016). This is a crucial component for household welfare, as the reduction in
consumer prices may overcompensate reduction in incomes so that the net welfare
effect may imply a larger consumption set for the household. The distributional
impact through these two channels may also be different, where a trade protection
structure may be pro-poor through its effect on household income and pro-rich
through its effect on household consumption. For instance, a trade policy that is
designed to protect unskilled labor may raise the prices of unskilled-labor-intensive
goods that have a higher budget share among poorer households. The net effect is
therefore determined by the relative magnitudes of these two channels across the
distribution.

Get this document and AI-powered insights with a free trial of vLex and Vincent AI

Get Started for Free

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex

Start Your Free Trial of vLex and Vincent AI, Your Precision-Engineered Legal Assistant

  • Access comprehensive legal content with no limitations across vLex's unparalleled global legal database

  • Build stronger arguments with verified citations and CERT citator that tracks case history and precedential strength

  • Transform your legal research from hours to minutes with Vincent AI's intelligent search and analysis capabilities

  • Elevate your practice by focusing your expertise where it matters most while Vincent handles the heavy lifting

vLex