Does Globalisation Affect Crime? Theory and Evidence

Published date01 October 2016
DOIhttp://doi.org/10.1111/twec.12422
Date01 October 2016
AuthorArghya Ghosh,Peter E. Robertson,Marie‐Claire Robitaille
Does Globalisation Affect Crime? Theory
and Evidence
Arghya Ghosh
1
, Peter E. Robertson
2
and Marie-Claire Robitaille
3
1
University of New South Wales, Sydney, NSW, Australia,
2
The University of Western Australia, Perth,
WA, Australia and
3
The University of Nottingham, Ningbo, China
1. INTRODUCTION
THERE is a long history of economic thought that expresses scepticism over the benefit s
of trade liberalisation on non-economic grounds (Irwin, 1996; Findlay and O’Rourke,
2007). This scepticism extends to the contemporary globalisation debate where some authors
such as Rodrik (1997) have suggested that the economic gains from trade might be dominated
by other considerations such as crime and social conflict.
1
In particular, in an environment
where law enforcement is imperfect or costly, agents can engage in expropriation or predation
rather than production. Recent studies by Ghosh and Robertson (2012), Dal Bo and Dal Bo
(2011) and Dube and Vargas (2011) show that the impact of trade on expropriation may be
positive or negative depending on whether a country is labour or capital-abundant. These
papers thus raise interesting, but untested, propositions regarding the effects of trade liberali-
sation on crime. In particular, they suggest the possibility that the effects of trade liberalisa-
tion on expropriative activity will differ between developed and developing economies.
2
The aim of this paper is to explore this relationship theoretically and empirically using
international data on crime rates. Crime is perhaps the most pervasive form of expropriation,
and there is an extensive literature on the economics of crime following Becker (1968) and
Ehrlich (1973). In particular, Imrohoroglu et al. (2004) have emphasised the importance of
law-enforcement activities, as well as economic activity, and inequality in explaining crime
trends. Likewise, there is an extensive literature on how trade affects wages and inequality.
Nevertheless, the link between trade liberalisation and crime, and whether it differs across the
development spectrum, has not been explored in the literature.
3
Perhaps the body of work closest to our own is the recent literature on external shocks and
economic conflict, such as Miguel et al. (2004), Collier and Hoeffler (2004), Besle y and Pers-
son (2008), Bruckner and Ciccone (2010) and Dube and Vargas (2011). These studies seek to
identify the determinants of conflict and civil war. Across these studies, there is a relatively
robust finding that changes in external prices are associated with changes in conflict, partic u-
larly in African countries.
1
See also Deardorff (2000), Wolf (2004) and Bhagwati (2004) for overviews of the globalisation
debate.
2
Other models that look at similar issues, including predation, include Anderson and Marcouiller
(2005), Anderson and Bandiera (2006), Dodson (2002) and Demombynes and Ozler (2005). Similarly,
Dutt et al. (2009) consider the impact of openness on unemployment, allowing for the sign to differ
between capital and labour-abundant countries.
3
In particular, an extensive literature exists on the determinants of crime across countries, focusing on
factors such as the rate of growth (Pyle and Deadman, 1994; Cook, 2010), unemployment rates (Bushway
et al., 2010), urbanisation (Glaeser and Sacerdote, 1999; Fajnzylber et al., 2000) and the level of develop-
ment (Soares, 2004).
©2016 John Wiley & Sons Ltd
1482
The World Economy (2016)
doi: 10.1111/twec.12422
The World Economy
Insofar as conflict and crime are both types of expropriative activity, the present study can
be thought of as being complementary to this literature. Focusing on crime has an advantage
because of the extensive availability of comparable data relative to other forms of expropria-
tive activity such as civil conflict, coercion and piracy. Finally, as we illustrate in our theo ret-
ical section, the economics of the crime literature provides some interesting, yet untested,
propositions regarding the heterogeneous responsiveness of crime rates to trade liberalisation
across countries depending on their labour abundance.
The aim of this paper, therefore, is to examine whether trade liberalisation has affected the
rate of crime. The empirical section tests this proposition with respect to theft and burglar ies,
using a panel data of 72 countries over the period 1980 to 2008. We find that trade liberalisa-
tion increases crime rates in very labour-abundant countries, but has a statistically insignifi-
cant effect on crime for most countries with intermediate levels of labour abundance. We also
find some evidence to suggest that trade liberalisation may reduce crime in very capital-abun-
dant countries.
The results hold for different specifications of the model including different measures of
crime and trade liberalisation. We also explore other related explanations such as the role
of institutions and the relationship between crime and inequality. Finally, we also control
for endogeneity that may arise in two distinct forms. First, we consider the potential endo-
geneity of the trade variables policy variables using instruments lagged values and also the
predicted value of openness, based on the geographic and historical characteristics. In addi-
tion, we consider the possibility, suggested in the crime literature, that past crime rates may
affect the current crime rate. We use an Arellano and Bond (1991) estimator to control for
differences in past crime rates. We find consistent support for our hypothesis that trade lib-
eralisation increases crime rates in very labour-abundant countries, and reduces crime in
very capital-abundant countries, but has little no effect for countries with average capital
abundance.
The rest of the paper is organised as follows. First, to motivate the empirical analysis, we
develop a simple model that shows how trade liberalisation can affect expropriation. This
model is presented in Section 2, and is followed by a discussion of the data and empirical
strategy, including data reporting issues, in Section 3. The results are discussed in Sections 4
and 5. Section 6 then investigates endogeneity issues, and Section 7 concludes.
2. A MODEL OF CRIME AND TRADE
Consider a small open economy with a unit measure of identical individuals.
4
Each
individual has
Lunits of labour and
Kunits of capital, the returns (per unit) to which are
denoted by wand r, respectively. There are two tradable goods, an exportable and an
importable denoted by xand m, respectively. Let p
x
and p
m
, respectively, denote the
world price of the exportable and importable. Choosing units appropriately for the two
goods, we set p
m
=p
x
=1. We assume that the import-competing sector is tariff protected
and let p(>1) denote the tariff-inclusive price of the importable good faced by domestic
consumers.
4
This builds on recent papers by Ghosh and Robertson (2012) and Dal Bo and Dal Bo (2011) with a
view to providing a simpler, but also more accessible, statement of the relationship between the impact
of trade on crime at different levels of economic development.
©2016 John Wiley & Sons Ltd
GLOBALISATION AND CRIME 1483
Both xand mare produced under constant returns to scale and perfect competition using
labour and capital. Perfect competition in both these sectors implies that unit cost equals
price:
cxðw;rÞ¼1;(1)
cmðw;rÞ¼p;(2)
where c
x
(w,r) and c
m
(w,r) denote the unit cost functions for xand m, respectively.
Unlike the standard HeckscherOhlin framework, we assume law enforcement is not per-
fect. As a consequence, in equilibrium, some resources will not be engaged in productive
activities. Each individual endowed with
Lunits of labour and
Kunits of capital faces an
effective choice between employing labour and capital in producing goods or services and
expropriating income from other agents.
a. Expropriation
We assume that in their attempt to expropriate income, each individual can target only one
individual and can only be targeted by one individual. The probability of successfully expro-
priating another individual’s market income depends on the resources committed to expropria-
tion. Suppose individual iuses Li
eunits of labour and Ki
eunits of capital in expropriation. The
production function for expropriation is eðLi
e;Ki
eÞei, where the following assumptions hold:
(i) e(0, 0) =0; (ii) e
i
is homogenous of degree one; and (iii) @eð:;:Þ
@Fi
e
[0;@2eð:;:Þ
@Fi
e
2\0;F2fL;Kg.
The unit cost function associated with this expropriation technology, which captures the
minimum income that an agent ihas to forego to produce e
i
=1, is then given by:
ci
ew;rðÞ¼min wLi
eþrKi
ejei¼1

:(3)
The value of e
i
determines the probability of i’s success in expropriation. More specifically,
an agent isucceeds in expropriation with probability /(e
i
) where /(.) satisfies the following
properties: (i) /(0) =0; (ii) /0(e
i
)>0, /00(e
i
)<0; and (iii) /(e
i
)<1. The first two properties
are standard. The third one says that there is a strictly positive probability of failure of expro-
priation even if all resources are devoted to expropriation.
b. Law-enforcement Services
Individuals buy law-enforcement services to reduce the probability of being expropriated.
Income from productive activities for an individual iis:
xiwLiþrKi;
where Li
LLi
eunits of labour and Ki
KKi
eunits of capital are engaged in productive
activities. A fraction c2(0, 1) of this income is subject to potential expropriation, and hence,
the actual income from productive activities may be less than x
i
. Nevertheless, x
i
may also
be realised if the act of expropriation is verified by a court.
We assume that each individual ibuys z
i
(0) units of law-enforcement services, which
we think of as a bundle of security and legal services. Naturally, the higher the level of z
i
, the
higher the probability that the claim of expropriation by individual iis successfully verified in
the court. Let a(z
i
) denote that probability which satisfies the following plausible conditions:
(i) a(0) =0; (ii) a(z
i
)<1 for all finite z
i
; and (iii) a0(z
i
)>0, a00(z
i
)<0. Let zR1
0zidi denote
©2016 John Wiley & Sons Ltd
1484 A. GHOSH, P. E. ROBERTSON AND M.-C. ROBITAILLE

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT