Crime and Development in the Caribbean: An Investigation of Traditional Explanatory Models

AuthorRichard R. Bennett, William P. Shields and Beth Daniels
Pages401-429
401
CRIME AND DEVELOPMENT IN THE CARIBBEAN
Crime and
Development in
the Caribbean:
An Investigation
of Traditional
Explanatory
Models1
Richard R. Bennett,
William P. Shields and
Beth Daniels2
Eighteen
INTRODUCTION
For the past quarter of a century, researchers
have been intrigued by the relationship
between societal development and crime.
Their research has been driven primarily by
two theoretical perspectives. The
Durkheimian perspective, the oldest and
most extensively investigated model,
suggests a link between societal development,
anomie caused by change, and deviance
and/or criminality (c.f. Durkheim 1964,
Merton 1959). The application of this
approach to cross-national analysis of crime
is demonstrated in the works of Krohn
(1978), Messner (1982), Neuman and Berger
(1988), Bennett (1991a), and Bennett and
Shelley (1985), to name a few. The second
and more recent perspective links
opportunity or routine activities patterns
with changes in levels of criminality (c.f.
Cohen and Felson 1979, Maxfield 1987).
Although examples of this approach abound
with regard to single nation research, there
are fewer current examples in the arena of
cross-national development (c.f. Kick and
LaFree 1985, Anderson and Bennett 1996).
These two perspectives have generated
a body of cross-national research findings
that is surprisingly and consistently similar.
First, development affects crime. Second,
development affects crimes of violence and
theft differently: As development increases,
violent crimes decrease while crimes of theft
increase (c.f. Bennett 1991a, Bennett and
Shelley 1985, LaFree and Kick 1986, Krohn
402
CRIME, DELINQUENCY AND JUSTICE
1978, Wolf 1971). Although these studies inform the scholarly community about
the general relationship between development and crime, they may not distinguish
among specific nations or regions of the developing world, nor these nations’
experiences with criminality. Thus, these studies may not provide an adequate
knowledge base from which to construct informed crime control or prevention
policy.
The problem of relevancy to regional or national policy may be due to the
methodologies employed in these studies. First, the current cross-national research
divides the nations of the world for which data are readily available into two
groups: developed and developing. As one might expect, the range of values on
critical variables within each group is often greater than the range in means
between the levels of development, if only at the margins.
Second, notwithstanding reliable data and the availability of valid measures
of the criminologist’s constructs, current analysis practices cannot resolve the
problem of specificity. The aggregation of nations into groups obscures potentially
important country-specific characteristics. What emerges is a statistical average
that, in fact, may not be representative of any nation within the group. For
example, an average could include one nation where inequality is dramatically
pervasive, and another in which there is little inequality. The average would be
moderate inequality, which is found in neither. This problem is further
compounded by possible interactions or non-linearity among the variables within
the analysis model. As a consequence, the effects of inequality could be
significantly exaggerated or underestimated.
Third, these empirical studies only include variables within their analysis
models that are commonly measured and collected by leading world-wide
organisations, including the World Bank, the United Nations (UN) and the
International Labour Organisation (ILO). Although data from these sources are
helpful to understand the relationship between development and crime, they
include aggregated data which are of interest solely to the organisations’ missions.
Data of greater interest to criminal justicians, derived from theoretical approaches,
are not often collected. Direct measures of constructs as social stratification,
opportunity structure, family structure, community cohesion, informal and formal
social control, and other ‘social facts’ are not available from the international
organisations. Thus, criminal justicians who employ these archival data must use
them as crude surrogate measures of their more complex constructs. As an example,
researchers have used the measure of women in the workforce as a surrogate
measure of informal social control or guardianship (c.f. Bennett 1991b). Similarly,
urbanisation is commonly used as a surrogate measure of community cohesion
(c.f. LaFree and Kick 1986).
This paper attempts to investigate the problems in aggregation and analysis
of existing data by combining a longitudinal analysis across three seemingly similar
developing nations and comparing the effects of traditional explanatory variables

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