Differing trade elasticities for intra‐ and international distances: A gravity approach

Published date01 August 2020
DOIhttp://doi.org/10.1111/roie.12475
Date01 August 2020
Rev Int Econ. 2020;28:913–929. wileyonlinelibrary.com/journal/roie
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913
© 2020 John Wiley & Sons Ltd
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INTRODUCTION
International trade economists have long been interested in trade costs. In recent years, as artificial
trade barriers, such as tariffs and quotas, fall to low levels, trade economists have become more in-
terested in nonpolicy trade barriers. Many trade models proxy for these trade costs, which are often
difficult to measure, with distances between countries. While the distance between countries, which I
call external distance, functions well as a proxy for trade costs (and has since Tinbergen, 1962), it does
not give an explicit explanation of trade costs. In addition, it fails to capture anything not correlated
with external distance.
Because of these limitations, there is a significant literature that attempts to explicitly define trade
costs (see, e.g., Anderson & Van Wincoop, 2004). Trade costs can be anything from actual shipping
costs to time delays associated with shipping (Hummels & Schaur, 2013). The trade cost literature in-
cludes examinations of free-trade agreements (Baier & Bergstrand, 2007), culture (Rauch & Trindade,
2002), historical and political costs (Head, Mayer, & Ries, 2010), and the border effect (Anderson &
Van Wincoop, 2003; McCallum 1995) among many other possible impediments to trade.
Received: 22 April 2019
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Revised: 21 February 2020
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Accepted: 29 February 2020
DOI: 10.1111/roie.12475
ORIGINAL ARTICLE
Differing trade elasticities for intra- and
international distances: A gravity approach
JasonQuery
Department of Economics, College
of Business and Economics, Western
Washington University, Bellingham, WA,
USA
Correspondence
Jason Query, Department of Economics,
College of Business and Economics,
Western Washington University,
Bellingham, WA, 98225, USA.
Email: Jason.Query@wwu.edu
Abstract
Using the gravity model of trade, I estimate the impact that
within-country transportation distance has on international
trade levels. Combining multiple data sets, I create a meas-
ure for the distance U.S. agricultural goods travel before
leaving the country. In order to account for endogeneity
in production location choice, I use potential agricultural
production as an instrument for actual agricultural produc-
tion. I find that internal distance is statistically significant
and large in magnitude. A 10% reduction in the distance a
good travels within the exporting country increases trade by
roughly 3%.
JEL CLASSIFICATION
F14; L90
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QUERY
One potentially important trade cost that has received little attention until recently is the costs in-
curred in trading before a good leaves the country of origin, which I call internal costs. One probable
avenue in which internal costs are important is that a firm located in a country with high internal costs
is at a competitive disadvantage compared to those firms that can move a good through its location
cheaper. While we have many estimates for the effect of external distance on trade, we know little
about the magnitude of internal distance at the importer-commodity level.
Little research has been done in this area because internal trade costs and internal distance can be
extremely difficult to measure and the trade impact can be extremely difficult to estimate. Several
papers, such as Yilmazkuday (2014) and Coughlin and Novy (2018), take advantage of state-to-
country data to better examine how distance and aggregation biases gravity estimates. In this paper,
I combined two data sets, a data set including by-commodity exports at the U.S. port level and a data
set with by-state agricultural production, to create a unique weighted average measure of what I call
internal distance, the distance a good travels within the United States before leaving the country at a
port of exit.
The impact of internal distance on trade is difficult to estimate because it is plausible that internal
distance is endogenous to trade levels. Firms that export heavily will tend to locate production closer
to the port of export as a means of reducing internal trade costs, biasing the estimate of the impact of
internal distance. To alleviate this concern, I limit my sample to agricultural goods, which are con-
strained in production location by climate and soil factors. To further alleviate endogeneity concerns, I
develop an instrumental variable strategy, instrumenting actual agricultural production with the Food
and Agricultural Organization’s (FAO) Global Agro-Ecological Zone (GAEZ) project’s suitability
index. This index essentially ranks the ability of each state to grow a given agricultural good. The
measure is created by the FAO using historical measures of climate and soil, measures which are
independent of import demand. To my knowledge, this is the first paper to properly deal with this
endogeneity concern.
I find that the internal distance elasticity of trade is statistically significant and large in magnitude.
I find that, using conservative estimates, a 10% decrease in the distance a good must travel before
leaving the United States would increase the exports of that good by 2.5–3%. These findings have
potentially significant policy implications, particularly with policy makers’ decisions to fund internal
infrastructure.
This paper proceeds as follows. Section 2 of this paper gives a brief review of the relevant litera-
ture. Section 3 details the data used in this paper, and Section 4 outlines the empirical specifications
employed. Section 5 gives the empirical results. Section 6 concludes.
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LITERATURE REVIEW
This paper contributes to a key literature in international trade which focuses on gravity models of
trade and trade costs. Trade economists have long attempted to explain what exactly the trade cost
component in the gravity model should properly consist of. Many papers have examined the potential
trade-encouraging effects of currency and trade unions. Glick and Rose (2002) finds that joining a
currency union nearly doubles trade between the sharing countries. Head etal. (2010) finds that strong
colonial ties can boost trade. Blonigen and Wilson (2008) and Clark, Dollar, and Micco (2004) show
that the efficiency of a country’s ports significantly impact trade. Most gravity-based papers examine
between-country trade costs. In this paper, I further attempt to understand how trade costs drive trade
flows, but I am examining the costs a trading firm incurs before a good leaves the country.

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