Verma and Kumar – The Etiology of Crime in India
Copyright © 2008 International Journal of Criminal Justice Sciences (IJCJS)
July – December Vol. 3 (2): 138–157
ISSN: 0973-5089
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The Etiology of Crime in India
1
Arvind Verma 2
Indiana University, Bloomington, USA
Manish Kumar 3
Research Associate, New Delhi, India
Abstract
The reasons why people commit crime willfully has been a matter of great concern. However, most
theories of criminal behavior are grounded in western society and culture. Attempts to explore the
causes of crime in the Indian context and situation have been sporadic and generally non-empirical in
nature. This research explores the causes for criminal motivations in India. The paper describes and
analyzes the major reasons of criminality amongst convicted offenders. Results suggest that growing
urbanization, breakdown of extended family system and lure of consumerism and influence of criminal
associates are some of the main reasons for these people to fall into a life of criminality.
________________________________________________________________________
Key Words: Crime; India; Convicted Offenders; Prison.
Introduction
The scientific inquiry into the causes of criminal behavior is now more than hundred
years old. The discipline traces its roots to the growth of the Classical School in Europe
around the period of the French Revolution. A series of legal reforms were propounded
by social reformers such as Beccaria and Rousseau that established the foundations of
modern legal justice system. The reforms that led to the codification of the new laws,
creation of the modern police forces and the prison systems were radical innovations that
also changed fundamental assumptions about criminal behavior (Brantingham &
Brantingham, 1991; Hall, 1960). The belief that criminals are different from ‘normal’
changed and criminal behavior came to be explained in terms of social, economic,
political, demographic and psychological factors.
This scientific search for an etiology of crime has contributed an impressive literature to
the subject. Criminology has now grown into a major subject of inquiry that is
characterized by an inter-disciplinary approach and is taught on most university campuses.
1
This research project was supported by a grant from Indian Council of Social Science Research (ICSSR),
New Delhi.
2
Associate Professor, Department of Criminal Justice, Indiana University, Bloomington, IN, USA. Email:
[email protected] (Corresponding Author).
3
Research Associate, New Delhi, India.
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Explanations of criminal behavior draw concepts from a vast array of social and physical
sciences. The reasons why people are motivated to commit crime range from an
Ecological perspective (Shaw & McKay, 1942) to Differential Association (Sutherland,
1992), Cultural Conflict (Sellin, 1938), Sub-Cultural influences (Cohen, 1955; Matza,
1969), Anomie and Strain (Durkheim, 1951; Merton, 1968), Lack of Opportunities
(Cloward & Ohlin, 1960) to Lack of Self Control (Gottfredson & Hirschi, 1990).
However, all these explanations are strongly rooted in the structure, culture and history of
the western [read American] society. The empirical support for most of these theories of
crime and deviance has come from the studies of urban growth and social disorganization
witnessed in western societies (Baldwin & Bottoms, 1976; Brantingham & Brantingham,
1991; Fattah, 1991; Voss & Petersen, 1971; Fetchenhauer & Simon, 1998; Indermaur,
1999; Paternoster & Brame, 1998; Wikstrom, 1991).
There has not been a similar development of criminological theorization in India for
criminology has yet to emerge as a strong discipline in Indian research institutes. Only a
handful of universities in India have an independent criminology department and few
institutes offer doctoral programs in this field. Moreover, the application of some of these
theories, such as Social Disorganization, to the Indian situation poses considerable
challenges as the Indian cities hardly resemble the western urban centers. Most Indian
cities are hundreds of years old where Mughal period structures, Victorian Villas, modern
high rise apartment complexes and thatched huts exist side by side. Almost every
residential neighborhood is surrounded by sprawling slums. There are few exclusive
commercial layouts since workers and the Indian business class has traditionally favored
living close to their work places (Thakur, 1980; Weinstein, 1974). In most areas the
residential areas near the centers of the cities have high economic values in contrast to the
North American ones. Furthermore, there is little evidence of zonal decay in Indian cities
as found in Chicago by Shaw and McKay (1942).
Moreover, the tradition of extended families still persists despite growing urbanization
and scarcity of space. An obvious implication of having a large family is that supervision
over the young is ubiquitous, social control is extensive and strict. It is no surprise that a
careful study found juvenile delinquency to be a minor problem in a country of one billion
people (Hartjen & Priyadarshini, 1996). Social Control Theory may provide an
explanation but the wide spread prevalence of child labor in many industries and limited
supervision during day by working parents in metropolitan cities will need additional
explanations. Similarly, real and perceived social and economic inequalities have been a
constant feature of the Indian society for hundreds of years. The caste system continues
and people seem to accept their position in the social hierarchy without strong dissent.
These disparities too, do not seem to promote strain and be a factor for criminal behavior.
But social conflict and violence against scheduled castes appear to suggest that loss of
traditional power amongst the so called ‘higher castes’ is causing strain, particularly from
positive discrimination policies of the government for the ‘backward castes’.
Clearly, the nature of the society, its culture and history are significant variables in
understanding criminal behavior. It follows that the nature of criminality in India must be
explained as a consequence of its peculiar social-cultural, political and historical
conditions. The texts Manu Smriti and Arthashastra describe various forms of criminality
in ancient Indian society and prescribe various ways of dealing with them (Shamashastry,
1929). However, these explanations were largely rooted in religious beliefs of reincarnation. Criminal motivation was suggested to be a product of previous life’s Karma
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Verma and Kumar – The Etiology of Crime in India
and influences (Sukla, 1987; Somerville, 2000). During the British period a large section
of the people were designated as ‘criminal tribes’ and were subject to extremely harsh
treatment by the regime (Yang, 1985). Nevertheless, studies of these criminal tribes have
been limited to the descriptions of social organization, family relationships and economic
hardships suffered by these people (Simhadri, 1991). Some other literature books dealing
with the concept of criminal behavior in India (e.g., Nayar, 1975; Upadhyaya, 1978;
Shukla, 1982; Thilagaraj, 1987; Mohanty, 1990; Phulia, 1992), have largely focused upon
officials’ descriptions of criminality or dealt with the psychological dimensions, comparing
‘delinquents’ with samples of ‘normal.’ A large number of police officers have written
their memoirs or about policing in which references have been made about certain types
of offenders (Lobo, 1992; Shah, 1992). Yet, these efforts have been impressionist rather
than based on some careful scientific inquiry. The genesis of dacoity [armed robbery by a
gang] in Chambal valley [north-central India] has been a popular theme too (Bhaduri,
1972; Khan, 1981; Jatar, 1980; Katare, 1972). Again, most explanations have simply
suggested feudal exploitation as the cause that provoked many people of this region to
take to arms. The fact that many gangs operating in this valley were composed of higher
castes and wealthy people appears to suggest that feudalism may only be a partial
explanation of dacoity in Chambal valley. Clearly, the accounts of criminal behavior in
India remain unsatisfactory. Hartjen and Ketheneni (1996, p. 7) in a review of Indian
literature on juvenile delinquency lament that “in contrast to the voluminous literature
found for other countries, a coherent body of research and thought relating to
delinquency in India is simply not available.”
An empirical examination and a well formulated theory that provides testable hypotheses
about the reasons why people commit crime in India are the objectives of this research.
The circumstances that motivate, encourage deviance in the developing state, the
economic and social disparities, the rapid urbanization and exposure to new cultural ethos
brought about by the new communication systems are factors that may be construed to
influence criminality. This paper makes an attempt to explore the causes of criminality
amongst a specific set of people and thereby add to the knowledge of criminality in India.
The Research Framework
This exploration of the etiology of crime in the Indian context is based upon an
empirical examination of background of those people who have been recognized to be
deviant by the laws and procedures of the country. The empirical reality that has been
sought in this research work is an understanding of the circumstances and motivations that
have forced some people to commit acts defined as crime by the law based upon the
Positive School of Criminology perspective. For this purpose, the data has been collected
from people convicted for their offenses through a well established due process of the law.
There is thus little dispute about their legal innocence although one still cannot discount
the absence of any kind of false accusations or defective procedures. Clearly, this approach
is an unsatisfactory basis of criminality since the notion of criminal behavior is
controversial. Treating officially incarcerated people as criminals and then exploring their
reasons for criminality is tautological in one sense. Yet, this process appears to be a good
starting point for an exploratory research. Understanding the reasons why people
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convicted by a due legal process got involved in criminal behavior is likely to provide
some insight about the cause of deviant behavior in Indian society.
It is nevertheless clear that results of this study cannot be extended to the general
population for this method does not differentiate between criminals and non-criminals.
People who have been incarcerated through a legal process are an unrepresentative and
particular subset of the general population. Their behavior patterns cannot be ascribed to
the people of India. Indeed, the population of interest in this research will simply be the
set of convicted offenders- those labeled as ‘criminals’ by the processes of the criminal
justice system. It also needs to be kept in mind that the criminal justice processes and
procedures are themselves defective and biased (Verma, 2005). The nature of this study
portend that any conclusion be treated with caution. Yet, we believe that this study is
important for it does inform about some of the situations and circumstances that have
driven a particular set of people towards criminality.
Criminogenic factors in the Indian context
India is a heterogeneous society with an ancient culture where diversities stand out.
There is a small affluent class that is as rich as any segment of people around the world.
On the other hand the vast majority is impoverished. According to the annual report by
the United Nations Development Program, the percentage of population living below $1
per day is an estimated 34.3 in 2005 (UNDP, 2009). The nation has recently acquired
nuclear weapons and its Information Technology sector is catching the attention of the
world. Yet, illiteracy is widespread and basic schooling is not available to a majority of the
children. Women have reached top positions in every sector- politics, business,
bureaucracy and academia and still the society remains strongly patriarchal where incidents
of female infanticide and the problems of dowry are not uncommon (Madhok, 1998).
India has the fourth largest economy in the world and there is rapid industrialization and
urban growth. Nevertheless, rural population still accounts for 74.3% of the population
(Census of India, 2001). Despite constitutional provisions of equality and one-person one
vote, caste remains a dominant factor in social relations. A minority of so-called ‘forward
castes’ continues to occupy the commanding heights of economic and political power in
the society. In such a situation, the sociological, economic, political and psychological
factors peculiar to the Indian society are likely to play a major role in determining the
etiology of crime in the country.
This research project therefore sought information from the convicted offenders about
their i) Sociological factors such as family upbringing, social association, educational and
work environment influences, ii) Economic variables such as income, number of family
dependents and unemployment, iii) Political factors such as group conflict or labeling
effect by the official agencies, iv) Psychological reasons like mental history of the family
etc. Based upon the above-mentioned factors we developed the following hypotheses for
criminal behavior:
1) Large, economically deprived families where parents did not have sufficient education
created circumstances that encouraged deviant behavior
2) Neglected childhood was a major factor for falling into criminal behavior
3) Criminal association developed more for those growing up in low socio-economic
status families
4) Criminal association led to a labeling effect that promoted subsequent criminal behavior
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Verma and Kumar – The Etiology of Crime in India
5) Failure of the justice system to provide speedy justice was responsible for forcing people
to take to criminal acts
6) Growing consumerism in Indian society tempted the people to adopt illegal short cuts
for making money and led them into criminal activities.
7) The loosening of social bondage due to rapid urbanization, induction of new cultural
norms and an independent life style led some people towards deviant behavior.
Data Collection
Data for this study was collected from Tihar Jail, the largest prison in the country,
situated at Delhi, the capital of the country. This city, due to its political and economic
importance attracts people (and offenders) from all corners of the nation. Accordingly, the
possibility of finding a representative Indian sample at Tihar prison appeared to be high.
There are some valid grounds for supporting this expectation. Being the capital of the
country and also the biggest business center of Northern India, Delhi attracts a large
number of persons from all over India in search of employment and better opportunities.
All the important institutions are situated here and there is a convenient connecting train
from every major city of the country. It may also be pointed out that India has a uniform
criminal justice system. Although, some acts are governed by state and municipal laws but
the vast majority of crimes against property and body are enshrined in the Indian Penal
Code. The procedures of investigation and prosecution are governed by the Code of
Criminal Procedure 1973; again applicable to every region. The police and judicial
systems are also uniform across the nation. It was hoped that the Tihar prison would be a
good starting place for an exploratory study, which may be extended to other parts of the
country once the viability and utility of the research design is established. Initially, the
plan was to have a sampling frame consisting of the roster or the official records of the
prison that contain a list of all the convicted prisoners incarcerated there. However,
despite several attempts, the permission to interview prisoners from within the prison
premises was denied by the authorities. Accordingly, an arrangement was made to
interview offenders who were released after serving their term. There is a turnover of
almost 50-75 people every day from this prison. However, majority are under-trials who
are arrested as suspects by the police and released on bail by the courts. The proportion of
convicted prisoners in this lot would barely be 3-5%. Since our concern was with people
whose legal criminality was not in doubt, we attempted to contact convicted prisoners
only.
A team of researchers with assistance by the prison guards identified these prisoners as
soon as they came out of the prison. These people were then informed about the purpose
of the study and assured of their anonymity. The procedure was to contact every second
such convicted prisoner walking out of the prison. If he i did not agree then the fourth
such prisoner was contacted and so on. Through this procedure an attempt was made to
be systematic but this was a sample of convenience. Those who agreed were interviewed
in one of the teashops scattered around the prison complex. The interview would
normally take 25-30 minutes. Some relatives who came to receive the prisoners were also
included in the interview to verify or add comments given by the convicted prisoner. A
set of survey questions [in Hindi language] was provided to each of the researchers to
ensure that the interview was uniform and the variables could be operationalized for
statistical analysis.
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There were many cases in which the respondents refused participation. Furthermore,
the strictness about selecting every second person coming out of prison could not be
maintained for various reasons. In some cases, the respondents initially agreed and then
refused to continue. All these reasons did vitiate the procedure of selecting a probabilistic
sample but nevertheless a quasi-random selection was followed. Considering that the
period of data collection was spread over a twenty month period [1999-2000] we feel
confident that the collected sample is fairly representative of convicted prisoners released
from Tihar prison during the study period.
Data Description
As on 31st December 1999, the population of all the prisoners lodged at Tihar was
reported to be 10625 and the number of convicted male prisoners was 1835 (Tihar prison,
2001). We collected data from 424 respondents from Tihar prison but two of the cases
were found to be incomplete on some key questions. Accordingly, our sample consists of
422 respondents that roughly form 22.9% of the convict male population. This proportion
is a probable estimate only since the numbers of convicted prisoner changes daily.
The following are the descriptive statistics of these respondents. The mean age in the
sample was 30.12 with a standard deviation of 12.09. These ages have been recorded on
the basis of statements made by the respondents and some of this information seems
doubtful. 11 respondents stated their age to be over 65 years and one said he was 11 years
old. There is a possibility that some of them did not know their correct age and spoke in
terms of approximate years. This also appears to be supported by the fact that detention
above the age of 65 is rare and a child under the age of 12 who has not attained sufficient
maturity will also not be detained for criminal behavior. Either there have been gross
violations of these provisions [the possibility cannot be discounted] or else the ages
recorded by the officials are different from the ones informed to us. It is also worth
pointing out that these respondents were interviewed at the time of their release. Thus,
their age at the time of committing the crime and being arrested would have been smaller.
Clearly, in at least one of the cases the age appears inaccurate. Since we were denied access
to official records we could not verify these statements about age and have retained the
information given by the respondents. We aggregated the ages into three groups ranging
from <22 years [frequency 114]; from 23-30 [frequency 180]; and >30 years [frequency
128]. Age is everywhere correlated with delinquency and research in the US suggests that
the peak age is from 15-25 after which there is a gradual decline in criminal behavior
(Hirschi & Gottfredson, 2000). The Indian data appears to conform to this pattern.
In terms of their residential place, there seems to be a mixed situation: there is
somewhat a larger proportion from the city but the number from the rural areas is not
insignificant either. There were 64% from urban areas that do not seem to be in
accordance with the 25.7% of urban population in the country (Census of India, 2001).
Perhaps this is reflective of the adverse impact of industrialization and urban growth being
witnessed in the country. The choice of living in an urban or a rural area is likely to offer
different opportunities and set of associates. In view of the fact that most educational
institutions and employment opportunities lie in urban areas, seems to supplement the
sample finding that urban living is being preferred by growing proportion of the
population.
In terms of their educational background, an overwhelming majority had less than a
High School certificate. A good number of the subjects were illiterate and lacked any
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Verma and Kumar – The Etiology of Crime in India
formal education. Even for those who had attended some years in school or were
beginners, it was clear from the interview that their ability to read and write was severely
limited. Education of course plays an important role in criminal behavior (Crutchfield,
Bridges, Weis, & Kubrin, 1999). Education is not only a socializing effect but opens new
avenues and imparts skills that can assist in finding jobs and building a stake in conformity.
Schooling creates social bonds that may affect delinquent behavior (Jenkins, 1997).
Accordingly, we decided to consider the years of schooling in terms of the likelihood of
imparting some skills and opening new avenues. The response category was thus subdivided into four levels. The first category consists of those who had no schooling and
described themselves as illiterates [n=116]. The next level consists of those who had some
formal schooling, till grade VI on the basis that they had some exposure to formal training
but it was not complete [n=61]. The third category is of people who have more
schooling, from grade VII to High School [n=106]. The last category consists of those
who have studied beyond High School and have done either their Intermediate [senior
high school] or some form of College [n=139]. This group had a greater exposure to
learning, was likely to pick some skills and knowledge and would have undergone greater
socialization into conformity. Schooling or education did not appear to have a strong
correlation with criminal behavior.
Although criminologists have long debated about the effects of economic conditions on
criminal behavior but an enduring consensus appears to be that unemployment has
positive correlation with crime. Moreover, it has been suggested that juvenile delinquency
has correlation with later adult unemployment (Robin, 1966). It is a common observation
that marginalized groups are over-represented in jobs with low pay, poor benefits and
limited prospects for future. Crutchfield and Pittchford (1997) suggest that those who are
not confident about retaining their jobs are more likely to have committed crimes.
Accordingly, we were interested in determining the employment status of the
respondents. From the job descriptions provided by the respondents we determined that
97 were clearly unemployed and jobless, 263 were engaged in jobs that require little
formal education and were mostly labor oriented. There were 37 respondents whose jobs
required some formal education and training. Unfortunately, not everyone gave sufficient
details to determine their employment status and hence the remaining was designated as
‘unemployed.’
We decided to classify the job variable into that of Unemployed [n=110], Manual
Worker [n=144], Skilled Worker [n=145] and White-Collar Worker [n=23] since these
classes indicate better the nature of work and opportunities associated with it.
The marital status is an important variable in the study of criminal behavior. An
unattached youth is likely to have fewer stakes in the society while a married person is
expected to realize greater responsibility towards his family. Marital bonds are also
expected to strengthen conformity towards established behavior and restrict movement in
both place and time. Accordingly, for us knowing this factor was important. The status
was reported to be as Married [n=234]; Unmarried [n=185]. Widower [n=2] and one did
not declare anything. There were no divorcees in the sample.
Not only were most respondents from low socio-economic background but they also
came from families where the parents had little or no formal education. We asked
questions about the educational qualifications of their parents to probe this matter. It is
expected that educated parents are more likely to ensure some education to their children
and as we have mentioned above, greater education helps a person develop stake in
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conformity. Furthermore, educated parents may be more effective in the supervision of
their children and perhaps more assertive in controlling their behavior. Accordingly, the
educational level of the parents becomes an important factor in this exploration. The
results are as follows:
Educational Qualifications of Parents
Illiterate
Primary
High School
College
Father
206
61
77
78
Mother
287
59
48
28
We asked one more question to ascertain their socio-economic status. This
question concerned the approximate monthly income of the family and whether their
imprisonment resulted in some decline in this family income. Clearly, family income plays
a decisive role in maintaining the family, in providing educational opportunities, in
meeting the basic needs and other wants of the members and even determining the
association with other people. We expect income variable to be an important factor in
explaining the etiology of crime and categorized it in the following four ordinal levels:
Monthly Family Income
Income
No. of Respondents
Less than Rs. 1000 /month
Between 1000 and Less than Rs. 3000/month
Between 3000 and Less than Rs. 5000/month
More than Rs. 5000/month
119
118
76
109
Religious belief and associated practices plays an important role in determining the
behavior of the person in India. It not only places one into a specific mode of conduct but
also determines who the associates and acquaintances will be. Furthermore, religion plays
an important function in adhering to a moral conduct and in restraining behavior for fear
of divine consequences. 443 respondents indicated that they follow the Hindu religion;
there were 42 Muslims, 2 Sikhs, 1 Christian and 12 refused to answer. Considering that in
India around 85% of the population follows the Hindu religion and Muslims constitute
12%, Sikhs and Christians perhaps 1% each, the above break-up appears to conform to the
general population distribution without any one religion having unusually high or low
representation. Of course religion may not be an important variable for what is important
is the degree of adherence to religious beliefs and practices. However, in such a limited
study it was difficult to measure this factor.
We asked one more question regarding the size of the family. This seems to be an
important consideration in the etiology of criminal behavior since large family size may
reduce family income and control exercised on the respondents. 222 respondents stated
their family size to be greater than 9 members including themselves. It is not only the
family size but also the influence of family members that perhaps pushes or pulls a person
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Verma and Kumar – The Etiology of Crime in India
to or away from crime. We were particularly interested to know if there were any family
members who had themselves been arrested and prosecuted. We wanted to assess the
influence that they may have had upon the criminal activities of the respondents.
Criminality of any family member or friend is an important factor in drawing a person
into the life of crime. Sutherland’s proposition that criminal behavior is learned within
intimate personal groups and that this learning takes place in close association, where not
only the tricks of the trade but also the justification for criminal actions are learnt
(Sutherland, Cressey & Luckenbill, 1992), was likely to come from close family members
and friends. Altogether 278 respondents indicated that they had criminal associates [of
which 68 stated they had some family member arrested in a criminal case one time or the
other]. This variable was named ‘Criminal Associate’ and dichotomized in Yes and No
categories.
Our last query was about the nature of crime committed by the respondent for which
he had been imprisoned. According to the criminal statutes, offenses are categorized as
those against the state, the body and property. Indian Penal Code of 1860 is the basic
statute covering a majority of the offenses but there are many special laws too that cover
areas like demanding dowry, bearing arms and social offenses against the weaker sections.
In order to summarize these legal definitions of crime types in more understandable terms,
we aggregated them into three classes: of property, physical and miscellaneous crimes. As
the labels suggest, property crimes include offenses like theft [all kinds], robbery,
extortion, dacoity [or its preparation], pick-pocketing, forgery, cheating and dealing in
stolen property. The physical offenses include murder [and its attempt], assaults, rape,
kidnapping, affray, rioting etc. The rest, like the offenses under the arms act, prostitution,
smuggling, drug related and such were classified as miscellaneous types. Under such a
categorization the frequency of offenders for these three crime types is summarized in
table given below:
Property Offenses
=
138
Physical Body Offenses
=
251
Miscellaneous Offenses
=
33
Reasons for Criminal Behavior
The reasons for committing crimes were not answered directly in a straightforward
manner and in many cases the respondents gave more than one explanation. The various
reasons mentioned were enmity and association with ‘bad-companions’; disputes, domestic
problems, anger, feeling of revenge or rivalry; greed, lust or need for money; influence of
alcohol, drugs and intoxicants; influence of associates, family members, dispute over land,
property, girl, politics, to being dragged into crime by various circumstances. Some
acknowledged that an opportunity to commit a crime or such behavior becoming almost
like a profession, or the ‘fun’ of action had been their reasons. A few also stated the desire
for money; involvement with a girl, business interests, and poverty and unemployment
problems initiated them into crime. Many stated that they were ‘dragged’ into the crime.
This may have come from situational factors like old enmity or association with
disreputable characters that initiated police suspicion towards these respondents. However,
in this we need to acknowledge that a good proportion [11.4%] of the respondents
resolutely indicated that they were falsely implicated in the incident or charged for a major
crime, which was not the true incident. There seems little reason to disbelieve these
assertions. The reputation of the police in India to act with probity is not very high
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(Verma, 2000) and false implications are possible. We noted every reason mentioned by
each of the respondents and then determined a main reason under a broader classification
that best characterized the situation.
Quite clearly, a desire to gain money or property directly or by availing of an
opportunity seems a common denominator of some of these statements. Similarly, dispute
is another important factor that describes reasons such as enmity, rivalry, jealousy, and
conflict over property, land, caste and arising from involvement with a girl and even
politics. Another common denominator appears to be lack-of-control that is underlying the
influence of alcohol, drug, peer-pressure, mental problem, and involvement with a gang,
fun etc. There were some statements that suggest bad association to be a major reason. This
variable covers reasons such as bad company, family influence, gang membership and so
on. We also included a factor described as dragged that describes the situation wherein the
respondent felt he was unintentionally drawn into the act due to fear, friendship, family
matters or even false accusation. Clearly, this drag may have come due to one or more of
the reasons described above such as bad-company, enmity or rivalry. Nevertheless, the
respondents themselves asserted that they were not motivated to commit the act and did
not feel guilty of crime. We believe that their belief needs to be mentioned since the
Indian criminal justice system has serious defects (Verma 2005). There is a fair possibility
of false accusations and other situations exist that can get an innocent person involved in a
criminal case. We decided to honor this situational causality through a separate category.
Accordingly, we developed five distinct types of reasons given by the respondents and
categorized them based upon the main reason stated by them. These categories and
associated numbers are summarized below:
Reasons
Number of Respondents
Bad Association
Dispute
Dragged
Gain
Lack-Of-Control
77
147
50
79
69
Since the objective of this research is to explore the reasons why people commit crime
this variable ‘Reason’ is our dependent variable- nominal in five categories.
Analysis
Our interest was in developing a model that could explain the dependent variable in
terms of the social-economic and demographic variables described earlier. But before
developing our model we examined different forms of association and tested bi-variate
relationships to determine and select the most important independent variables.
Inter-variable Correlations
We examined the bi-variate correlations amongst the variables to determine
meaningful associations. The analysis suggested that respondents’ education, parent’s
education, marital status and number of family members in the house are not significantly
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Verma and Kumar – The Etiology of Crime in India
correlated with the ‘Reasons’ for criminal behavior. However, father’s education has
relationship with employment status and family income, which have significant relations
with the reasons for crime and hence we decided to retain these variables in the model.
We also explored the bi-variate relations through cross-tabulations. Our interest was in
exploring if there is any inter-dependent relationship between the independent variables
like age group, income and others with the dependent variable of reasons for criminal
behavior. The following are the statistically significant results of cross-tabulating the
variable ‘Reasons’ with five other variables:
Contingency Table Results
Cross-tab with ‘Reasons’
F Educ.
Place Employment Age
Chi.sq:
21.97
32.64 33.15
df
12
4
12
p-value
0.038
0.000 0.001
Income
16.56 34.83
8
12
0.035 0.000
Crim. Assoc. Crime-Type
59.68
73.964
4
8
0.000
0.000
The above results suggest a close relationship between the ‘Reasons’ for criminal
behavior and the respondents’ family income, employment status, place of residence
[urban or rural], age group and quite obviously bad association. We also found that father’s
educational level is a much better predictor than mother’s education level or even a
combined variable created to reflect parental educational status. Sarvate (2000) argues that
Indian families are strongly patriarchal and the father plays a dominant role in the family.
Accordingly, we decided to use this as an independent variable. Naturally, the type of
crime committed [body, property or other kinds] adds to the explanation of the dependent
variable. These variables can therefore be used as explanatory factors in the multinomial
model that we now describe below. Religion and family size [not reported above] did not
provide a significant relationship and were dropped from the model.
Accordingly, we decided to model the relationship with age [A], employment [EM],
father’s education [FE], family income [I], bad association [CA], place of residence [P] and
types of crimes committed [T] as the independent variables. Considering that the
dependent variable of ‘reason for criminal behavior’ [R] is a nominal variable and some of
the independent variables are also of nominal category, the best equation to model this
relationship is the Multinomial Logit function. Our equation [and model] is of the form
R = f [A, EM, FE, I, CA, P, T].
Multinomial Logit function [MLF]
MLF is the most generalized probability model to handle explanatory [independent]
variables that can range from the highest data type [continuous or interval category] to
different categories of the lower types like nominal or ordinal types. The mathematical
model is derived as follows:
Let pi (xi) denote the probability of response j, j = 1, ..., J, at the ith setting of values of k
explanatory variables xi = (1, xi1, ..., xik). In terms of the response probabilities, the
generalized Multinomial Logit model is given by
pi (xi) = [exp(bj xi)] / [Σ1J { exp(bj xi)}]
This reduces to log {[pj (xi)]/[ pJ (xi)]} = bj xi for j = 1, ..., J-1.
A
148
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Here a separate parameter vector applies for each of the J-1 non-redundant Logit
equations. To obtain the ML estimates [the bis] the independent multinomial likelihood is
maximized subject to the constraints of equation ‘A’. ‘The parameter estimates have large
sample normal distributions with asymptotic standard errors that are obtained from the
inverse of the data matrix. An iterative process like the Newton-Raphson’s method is used
to determine these estimates’ (Agresti 1990: 313). The computations are quite complex
and a computer software program; SPSS was used to estimate them. The results of this
Multinomial Logit Regression modeling are as follows:
Results
Model
Intercept Only
Final
-2 Log Likelihood
1131.309
887.159
Chi-Square
df
Sig.
244.150
60
.000
The Pearson value of this goodness of fit measure [1122.033] is also statistically
significant at a p-value of 0.002. Cox and Snell’s value indicate a variance explanation of
43.9% while Nagelkerke unit suggests it is almost 46.0%. This also indicates that the set of
independent variables are able to explain a substantial proportion of the variance of the
dependent variable.
Likelihood Ratio Tests
Effect -2 Log Likelihood of Reduced Model
Intercept
Employment
F’ Education
F’ Income
Bad Association
Place of residence
Age
Types of Crime
* p < 5% and ** p < 1%
897.977
902.361
905.055
910.300
928.787
908.648
916.149
928.166
Chi-Square
df
Sig.
.000
15.202
17.896
21.141
41.628
21.489
28.982
41.007
0
12
12
12
4
4
8
8
.231
.119
.027*
.000**
.000**
.000**
.000**
The Chi-Square statistic is the difference in -2 log-likelihood between the final model
and a reduced model. The reduced model is formed by omitting an effect from the final
model. The null hypothesis is that all parameters of that effect are 0. From the above table
it is clear that except for the variables of ‘Employment’ and ‘Father’s Education’ the rest
are statistically significant. However, as seen in table I these two variables do provide
statistically significant results for some of the sub-categories of the dependent variable.
Interpretation
The derived parameters suggest a clear relationship between the levels of explanatory
variables and those of the dependent variable. Table 1 provides the summary of variables,
parameter estimates and their significance.
149
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Verma and Kumar – The Etiology of Crime in India
Table 1
Parameter Estimates
N = 422
B
Std. Error
Wald
df
Sig.
Exp(B)
224.152
729.473
948.474
.
.
5.031
.119
.740
.
1.083
2.282
.075
.
29.307
.
.626
.
6.896
11.647
.
1.655
.867
.
.792
2.174
1.021
.573
.
2.201
.380
.010
.
.431
.478
.422
.
12.350
.
5.295
.
.459
1
1
1
1
0
1
1
1
0
1
1
1
0
1
0
1
0
1
1
0
1
1
0
1
1
1
1
0
1
1
1
0
1
1
1
0
1
0
1
0
1
.000
.000** 5.3E6
.000** 2.7E6
.
1.8E6
.
.
.025* 5.209
.731 .742
.390 1.925
.
.
.298 .483
.131 .368
.784 .807
.
.
.000** 20.458
.
.
.429 1.464
.
.
.009** 4.706
.001** 7.780
.
.
.198 .291
.352 .397
.
.
.374
.140 4.935
.312 2.794
.449 2.155
.
.
.138 2.765
.538 .607
.920 .928
.
.
.511 .627
.489 .636
.516 1.636
.
.
.000** 4.985
.
.
.021* .319
.
.
.498 1.475
Reasons
Bad Association Intercept
[EM=1]
[EM=2]
[EM=3]
[EM=4]
[FE=1]
[FE=2]
[FE=3]
[FE=4]
[I=1]
[I=2]
[I=3]
[I=4]
[CA=1]
[CA=2]
[P=1]
[P=2]
[A=1.00]
[A=2.00]
[A=3.00]
[T=1.00]
[T=2.00]
[T=3.00]
Gain
Intercept
[EM=1]
[EM=2]
[EM=3]
[EM=4]
[FE=1]
[FE=2]
[FE=3]
[FE=4]
[I=1]
[I=2]
[I=3]
[I=4]
[CA=1]
[CA=2]
[P=1]
[P=2]
[A=1.00]
-19.357
17.801
17.132
16.742
0
1.650
-.299
.655
0
-.728
-.999
-.215
0
3.018
0
.381
0
1.549
2.052
0
-1.233
-.923
0
-1.134
1.596
1.027
.768
0
1.017
-.499
-7.506E-02
0
-.466
-.452
.492
0
1.606
0
-1.141
0
.389
1.293
.659
.556
.000
.
.736
.868
.761
.
.699
.661
.785
.
.558
.
.481
.
.590
.601
.
.959
.992
.
1.275
1.083
1.017
1.014
.
.686
.809
.743
.
.710
.654
.757
.
.457
.
.496
.
.574
150
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[A=2.00]
[A=3.00]
[T=1.00]
[T=2.00]
[T=3.00]
Lack Control Intercept
[EM=1]
[EM=2]
[EM=3]
[EM=4]
[FE=1]
[FE=2]
[FE=3]
[FE=4]
[I=1]
[I=2]
[I=3]
[I=4]
[CA=1]
[CA=2]
[P=1]
[P=2]
[A=1.00]
[A=2.00]
[A=3.00]
[T=1.00]
[T=2.00]
[T=3.00]
Dispute
Intercept
[EM=1]
[EM=2]
[EM=3]
[EM=4]
[FE=1]
[FE=2]
[FE=3]
[FE=4]
[I=1]
[I=2]
[I=3]
[I=4]
[CA=1]
[CA=2]
[P=1]
[P=2]
[A=1.00]
[A=2.00]
1.670
0
-1.489
-.197
0
-.392
.679
.580
.608
0
1.363
.453
.698
0
-1.987
-2.015
-.421
0
1.206
0
-1.101
0
-4.570E-02
1.341
0
-.252
-3.289E-02
0
-.280
1.189
.302
9.934E-02
0
.907
.610
.485
0
-.342
-.938
-6.548E-03
0
.911
0
3.969E-02
0
.
1.155E-03
1.603
.584
.
.931
.957
.
1.178
.941
.832
.834
.
.694
.765
.706
.
.693
.647
.725
.
.443
.
.487
.
.570
.567
.
.967
1.012
.
1.084
.767
.629
.675
.
.614
.650
.641
.
.604
.567
.689
.
.379
.
.384
.
.500
.506
8.171
.
2.555
.042
.
.111
.520
.486
.531
.
3.852
.350
.980
.
8.224
9.716
.338
.
7.413
.
5.108
.
.006
5.587
.
.068
.001
.
.067
2.404
.231
.022
.
2.183
.880
.574
.
.321
2.735
.000
.
5.790
.
.011
0
.000
10.024
1
0
1
1
0
1
1
1
1
0
1
1
1
0
1
1
1
0
1
0
1
0
1
1
0
1
1
0
1
1
1
1
0
1
1
1
0
1
1
1
0
1
0
1
.
1
1
.004** 5.312
.
.
.110 .226
.837 .821
.
.
.739
.471 1.971
.486 1.787
.466 1.836
.
.
.050* 3.907
.554 1.573
.322 2.010
.
.
.004** .137
.002** .133
.561 .656
.
.
.006** 3.341
.
.
.024* .332
.
.
.936 .955
.018* 3.824
.
.
.795 .778
.974 .968
.
.
.797
.121 3.283
.631 1.353
.883 1.104
.
.
.140 2.476
.348 1.841
.449 1.625
.
.
.571 .710
.098 .391
.992 .993
.
.
.016* 2.486
.
.
.918 1.040
.
.998 1.001
.002* 4.970
151
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Verma and Kumar – The Etiology of Crime in India
[A=3.00]
[T=1.00]
[T=2.00]
[T=3.00]
Base: ‘Dragged’
0
3.132E-02
-.846
0
.
.911
.966
.
.
.001
.767
.
0
1
1
0
.
.973
.381
.
.
1.032
.429
.
* p < 5% and ** p < 1%
Considering the multinomial Logit model involves categorical data analysis, the results
have to be interpreted in terms of probability values. The table uses the last category of
each variable as the base for comparison purposes. For instance, in the case of the
dependent variable ‘Reasons for committing the crime’ the category ‘Dragged’ is used as
the base while for the explanatory variables, the highest level is the base with which other
levels are compared. We have highlighted the statistically significant results in the table and
we will interpret the results for these cases only.
For the category of Bad Association, level 1 of father’s education [that he is illiterate] is
a significant result in comparison to level 4 [that he is college educated]. This implies that
the log odds of a person committing crime due to a bad associate in comparison to being
dragged into criminal behavior is greater by a value of 1.65 for the case when the father is
illiterate than when he is college educated. This suggests that a more educated father is
perhaps able to control his son and prevent him falling into a life of crime even if he has
some relatives or friends who are criminals. The other significant results for this category
are that of employment, bad association and age. Clearly, being unemployed or engaged
only in manual, low paying jobs entices people to commit crimes much more in
comparison to those having some kind of white collar job [the base category]. It makes
sense to also observe that those having bad association are more likely to get involved in
criminal behavior. The age factor also suggests that bad association is more important for
those between the ages of 22-30 than the younger ones. Perhaps with growing age a
person learns to develop more lasting associations.
For the reason of ‘Gain’ living in urban areas show significant results. It appears that
growing urbanization creates opportunities for crimes that are intensified with criminal
association especially for those in the age group of 22-30 years. Most young people of this
age are forced to seek jobs in urban areas in view of declining economic opportunities in
rural areas. These young men are generally by themselves and face declining family
supervision. It is likely that they get involved with criminal associates who induce them to
seek illegal gains. All these factors show significant odds for the reason of ‘Gain’ for
committing crimes.
The reason ‘Lack Control’ has slight significant result for father’s low educational status
[p-value 0.050]. This seems to make sense since an illiterate father [level 1] is unlikely to
understand the activities of his children. This lack of supervision may encourage the
children to experiment and give vent to their desires. Experimentation with alcohol, drugs
and sexual pursuits are some of the more specific reasons within this category and it seems
to fit in with the notion that in a family, where the father is unable to provide discipline,
children are unlikely to control themselves and will fall into criminal ways. In addition,
the significant results of low income [levels 1 & 2] and bad association both point towards
the situation where social control is less, the family is in dire circumstances and criminal
friends are inducements towards illegal and ill-advised experimentation. That the results
152
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are significant for young people between the age group of 22-30, living in urban area as
compared to rural regions is again in conformity to the expectations.
Finally, the reason of ‘dispute’ has largely to do with conflicts of different kinds. The
respondents have described these as arising from family problems, land ownership, caste
and clan feuds and enmity with some people, especially due to gang affiliations. The
significant results for the variables of young age [level 2], bad association and (slightly) for
family income [level 2, p-value <1%] appear to draw the respondents into this situation.
Disputes are common in any situation, but young age and bad association can get a young
person into serious conflicts.
Discussion and Conclusion
Based upon the analysis of the data as described above we are now in a position to
empirically comment upon the objectives of the research. Our first hypothesis was that
large economically deprived families where parents do not have sufficient education create
circumstances that encourage deviant behavior. Our second hypothesis was that neglected
childhood is a major factor in falling into criminal behavior. This is similar to the assertion
that criminal association generally develops for those growing up in low socio-economic
status families. Although, the analysis suggests that family size is not a significant factor but
income is undoubtedly a major factor in criminal behavior. Since income is expected to
be related to the attainment of higher education it follows that the underlying cause of
criminal behavior of the respondents is definitely linked to their poor educational status.
Considering that 283 respondents [67%] had at most, only a few years of schooling,
suggests that it pays for the Indian society to educate its children since it provides
marketable skills and helps wean them away from a life of crime.
We could also explore these assertions by examining the educational standards of the
father of the respondents. Our belief is that uneducated guardians are unlikely to discipline
and supervise their children especially if their economic conditions are desperate too. The
poverty and absence of any learning initiative would have caused neglect in the
upbringing of the children and making them easy prey to delinquent behavior. This
hypothesis appears supported by the fact that the percentage whose parents had at most
primary education and whose income was less than Rs. 1000 per month form 16.8% of
the sample. In comparison, the group of respondents whose parents were well educated
[college level] and had high family income [> Rs. 5000 per month] were only 11, a mere
2.2% of the sample. It is significant that of these 11 respondents, 9 were involved in body
type crimes [6 murders] and 5 of them cited dispute or being dragged in the case as their
reason for criminal behavior. Their criminality appears to be related to old standing
disputes and questions of family honor. This suggests that better-educated parents are
more likely to supervise and prevent their children from getting involved in serious
property crimes though not in family related feuds.
Our next set of hypotheses suggested the failure of the criminal justice system in
pushing the people into crime. The hypotheses suggest that criminal association leads to
labeling effect and the failure of the justice system to provide speedy justice makes it
difficult to get out of criminal behavior and perhaps forces people to take to criminal acts.
The survey amply supports these hypotheses since a very large number of respondents
have complained about being ‘dragged’ into the case. Most of these respondents refused to
consider themselves as criminal so perhaps the labeling effect had not taken permanent roots
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Verma and Kumar – The Etiology of Crime in India
but they were vociferous in their assertions that they had not committed the crimes for
which they were charged. Moreover, the fact that ‘dispute’ was cited as a major reason
seems to suggest that failures of the justice system in resolving conflicts pushed many to
indulge in criminal acts. In our discussions the respondents argued that they had to
commit the crime [attack or even kill their opponent] or otherwise they [or their family]
were themselves at risk of harm. These conflicts appear to have been going on for many
years and were related to land, property, rivalries and other kinds of mutual antagonism.
The failure of the system to quickly resolve them within the institutional framework
appears to have pushed many to find their own solutions with disastrous effects.
It is also noteworthy that only 36% [154 out of 422] reported not having any criminal
association. The large majority reported links with family and friends who were engaged
in criminal activities and this clearly affected the respondents. Many stated that they were
dragged into the case because of their links with these criminal associates. Accordingly,
having association with those who act criminally is also a strong reason for criminal
behavior.
Our next hypothesis is suggestive of the weakening of the traditional bonds that hold a
person to the norms of the society. The rapid socio-economic and demographic changes
that are occurring in the country, especially the culture of consumerism to us appeared to
be an important factor in tempting people to act illegally. The artificial desires created by
advertisements and the inability of a large number of people to satisfy these desires seemed
to drive many towards illegal acquisition of property. The statements about desires for
material goods and lack of family supervision suggest to us some of the ill effects of India’s
economic policies. The ubiquitous advertisements for a consumerist life style, loosening of
bonds due to a developing economy appear to have an adverse effect on young
impressionable people. Many respondents, especially younger ones expressed clear desires
for quick gains. The fact that many were living away from immediate family and
developed association with those already engaged in criminal activities seemed to support
this conclusion. The desire to acquire money, property or avail an opportunity was
frequently mentioned as one the reasons for their crimes. Even in cases where criminal
association or being dragged into a case was given as the first reason, the respondents did
agree that lure of money was still one of the underlying reasons. The ill effects of alcohol,
drugs and sexual drives, especially in combination appear to have been quite devastating.
Not surprisingly, in our sample the percentage of respondents whose primary reasons were
‘gain’ or ‘lack-of-control’ was seen to be around 40%.
Our final observation from this study has been that severe socio-economic
circumstances and failures of the justice system to control social conflicts are important
causes that stand beneath a large proportion of deviant behaviors in the country. The acute
poverty and the lack of education not only deny entry into legitimate pursuits but it also
implies a lack of supervision and discipline during the formative years. Most of the
respondents mentioned anger, jealousy, feeling of revenge and enmity as the driving force
in their criminal activities. The lack of any institutional system that could deal with these
at the initial stage and resolve conflicts appear to be responsible for driving many towards
adopting illegal actions. Most of the respondents also displayed extreme anger towards the
police and justice officials. A majority did not even contemplate going to the justice
officials to seek redress. It seemed clear, and many indeed stated in no uncertain terms that
after coming out of the prison they were again going back to a life of crime since their
enemies would not let them live otherwise.
154
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The fact that an over-whelming majority of the respondents came from poor,
economically disadvantaged background also seems to support the perception that the
Indian Criminal Justice System targets only those at the bottom rung of the ladder. The
fact that there were only 5 respondents with a post graduate degree, only 15 who had well
established jobs appear to confirm that the vast number of people being processed by the
police and judiciary come from low socio-economic background. Obviously, criminal
behavior is not an innate trait of that class of people who find themselves at the bottom.
Only 17 respondents [4%] mentioned poverty as one of their reasons for committing the
crimes. Clearly, despite the fact that vast majorities of Indian people are poor, they are not
contemplating crime as a means of sustenance. Most do believe that this is undesirable and
should not be done. Yet, if the jails are filled with people from low socio-economic strata,
then it reflects more about official practices than reasons for breaking the law. The Indian
authorities need to pay attention to these findings and examine the actions of the police
and criminal justice agencies more carefully.
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i
We have collected data on female offenders also but it is a small sample and its analysis is being done
separately.
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