Linguistic distance and economic development: A cross‐country analysis
| Published date | 01 May 2022 |
| Author | Mariko Nakagawa,Shonosuke Sugasawa |
| Date | 01 May 2022 |
| DOI | http://doi.org/10.1111/rode.12850 |
Rev Dev Econ. 2022;26:793–834. wileyonlinelibrary.com/journal/rode
|
793
Received: 21 October 2020
|
Revised: 26 October 2021
|
Accepted: 26 November 2021
DOI: 10.1111/rode.12850
REGULAR ARTICLE
Linguistic distance and economic development:
A cross- country analysis
MarikoNakagawa1,2
|
ShonosukeSugasawa3
1Institute of Economic Research,
Hitotsubashi University, Kunitachi,
Japan
2Graduate School of Information
Sciences, Tohoku University, Sendai,
Japan
3Center for Spatial Information Science,
University of Tokyo, Kashiwa- shi, Japan
Correspondence
Mariko Nakagawa, Institute of Economic
Research, Hitotsubashi University,
Kunitachi, Japan.
Email: nakagawam@ier.hit-u.ac.jp
Funding information
Japan Society for the Promotion of
Science; Scientific Research, Grant/
Award Number: 13J10130; Research
Activity Start- up, Grant/Award Number:
16H06703; Grant- in- Aid for Young
Scientists, Grant/Award Number:
18K12764
Abstract
This study investigates the relationship between access
to domestic and international communication and eco-
nomic development. It does so by constructing two in-
dices of linguistic distance, domestic and international,
capturing language acquisition costs, which are higher
when acquiring linguistically more distant languages.
The domestic linguistic distance index captures the con-
straints of communication among speakers of different
mother tongues within a country, while the interna-
tional linguistic distance index captures the constraints
of global communication via English. This study’s results
reveal a negative association between domestic linguistic
distance and GDP per capita, whereas international lin-
guistic distance has no significant association. Moreover,
by investigating the mechanisms of the negative associa-
tion of the domestic linguistic distance, we find that com-
munication difficulty among different language groups
hinders economic development through a channel of less
employment requiring communication- based operations.
Furthermore, we determine that the negative association
of the domestic linguistic distance may be mainly driven
by relatively poor countries such as many in Africa.
KEYWORDS
domestic linguistic distance, economic development,
international linguistic distance, mismatch in language use
This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits
use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or
adaptations are made.
© 2021 The Authors. Review of Development Economics published by John Wiley & Sons Ltd.
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INTRODUCTION
In recent years, the impacts of ethno- linguistic heterogeneity on economic and political activities
have attracted increased research interest. Realizing that ethno- linguistic heterogeneity is an im-
portant factor within considerations of various social phenomena, researchers have produced a
vast body of empirical and theoretical literature on ethno- linguistic diversity. Easterly and Levine
(1997), Alesina et al. (2003), and Alesina and La Ferrara (2005) all investigate the impacts of ethno-
linguistic diversity on economic development. Easterly and Levine (1997) show that ethnic diver-
sity negatively affects a country’s income level and explain the low incomes in African nations in
particular. According to Alesina et al.’s (2003) cross- country analysis, ethnically and linguistically
diverse structures decrease growth levels, implying a negative effect of heterogeneous composition
of ethno- linguistic characteristics on economic development. Moreover, Alesina and La Ferrara
(2005) argue that heterogeneity costs come from difficulty in reaching agreement on productive
public goods and policies common to all ethno- linguistic groups. Economically underdeveloped
countries, such as some in Africa, could be negatively affected by disharmony between different
groups, preventing them from catching up with more developed countries.
Despite those negative effects, ethno- linguistic heterogeneity also plays a positive role in eco-
nomic activities. Alesina et al. (2016) find that diversity in the country of birth increases gross do-
mestic product (GDP) per capita, as a result of skill complementarity present within an ethnically
diverse workforce.1 Similarly, Docquier et al. (2020) show that birthplace diversity positively af-
fects GDP per capita in US states. The authors argue that this is because the benefit of skill comple-
mentarity outweighs the cost of communication between workers with different birth countries.
These impacts of ethnic diversity on economic outcomes, both positive and negative, are also
seen at more micro levels. For example, Trax et al. (2015) investigate the impact of national di-
versity on plant- level productivity. Their results show that fractionalization in terms of nation-
ality positively affects a plant’s productivity. By contrast, a field experiment conducted by Lyons
(2017) reveals teamwork between individuals with different national backgrounds to be worse
than that between those with the same background. That disparity is due to greater communi-
cation difficulties experienced in teams whose members are more heterogeneous in terms of
national background.
The existing literature thus shows that both costs and benefits stemming from heterogeneity
in ethnic backgrounds exist at various levels of economic activity. In this paper we focus on the
negative association between ethno- linguistic heterogeneity and economic outcomes at the na-
tional level and the mechanisms of this negative association. We consider which factors hinder
harmonious conformity and communication between different ethno- linguistic groups, noting
that a lack of trust toward other groups, as well as cultural differences, makes it difficult for them
to reach agreements. In addition, one of the fundamental barriers to adequate harmony existing
between various ethno- linguistic groups, especially those that have different languages, is seen
to be grounded in the lack of effective common languages, or of common languages that can be
shared with little acquisition effort. Typically, post- colonial countries adopt the colonizer’s lan-
guage(s) as the official language(s) while, by contrast, the mother tongues of native residents are
likely to be local and linguistically distant from those of the colonizers.
JEL CLASSIFICATION
O1; O5; F5
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NAKAGAWA et al.
To identify the cost required to attain the ability to use domestic official languages differ-
ent from one’s native language when a society consists of different linguistic groups, we use a
measure of within- country linguistic distance. That measure indicates how distant residents’
mother tongues are from the official language in terms of linguistic characteristics. This linguis-
tic distance in the domain of domestic communication is reflective of language acquisition costs
(i.e., effort made) when acquiring domestic central languages. As Chiswick and Miller (2005)
and Isphording and Otten (2011, 2013) state, acquiring a language is more difficult if the na-
tive language is linguistically distant from the language to be learned (in this case, the official
language(s) of a country). Hence, the measure of domestic linguistic distance to the official lan-
guage(s) expresses the language acquisition costs incurred by individuals whose mother tongues
are different from the official language(s). We analyze the impact of domestic linguistic distance
on cross- country differences in economic development.
Similar costs for the acquisition of languages necessary for effective communication might
also be found in the international context. Recent empirical studies highlight the great impor-
tance of internationally spoken languages, such as English, for economic success in the mod-
ern era, when things and individuals are densely connected globally. In terms of international
migration, for example, Adsera and Pytlikova (2015) investigate whether potential immigrants
prefer destinations where English is the local language, arguing that English’s status as a global
language makes it a crucial determining factor in the configuration of migration decisions.
Additionally, Ku and Zussman (2010) report that trade partners sharing no common native lan-
guages communicate using English as a means to mitigate the language barriers. They show that
acquiring proficiency in English can overcome difficulties in communication and help to pro-
mote international trade. Similarly, Hutchinson (2005) argues that trade between the USA and
another country will be less intense if languages used in that country are different from English.
Moreover, as is discussed in existing literature, for example Jones (2001,Chapter 6) and Ku and
Zussman (2010), which focus on the communicative benefits of English as a lingua franca, ac-
quired proficiency in the language can promote economic development by providing access to
the world’s stock of technological knowledge that has recently been accumulated in English.
Given the substantive importance of English, its acquisition costs, which can be determined by
the linguistic distance between it and a country’s mother tongues, may also impact economic
outcomes of that country.
The impacts on economic development that a language’s distance from English has are con-
sidered with a slightly different concept from language acquisition in Spolaore and Wacziarg
(2009), who provide an alternative explanation for why distance to the USA might matter. They
employ the concept of genetic, rather than linguistic, difference: a measure of the time elapsed
since two populations shared common ancestors. The authors show the explanatory power of
the variation in the genetic distance to the USA, the most developed country, on the dispersion
in economic development, based on an idea that individuals genetically close to US residents
are more likely to follow or to catch up with the latest technology more easily due to the cultural
similarity or problem- solving methods.
In this paper we first construct linguistic indices. To consider how difficult it is to access ef-
fective domestic communication (i.e., the cost of acquiring the official language(s) necessary to
communicate with residents across an entire country) we determine each country’s domestic lin-
guistic distance (DLD). DLD is calculated as a population- weighted average of linguistic distance
between the official language(s) and residents’ mother tongues. Similarly, we determine the in-
ternational linguistic distance (ILD) to incorporate the cost accessing global communication in
English. We construct two different ILD indices,
ILDPC
and
ILDCC
: the former is calculated as the
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