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Title: BUSTING DRUGS WHILE PAYING WITH CRIME: The domestic cost of Americas drug control policy in foreign


1
BUSTING DRUGS WHILE PAYING WITH CRIME The
domestic cost of Americas drug control policy in
foreign countries
  • By
  • Horace Bartilow
  • Kihong Eom
  • The University of KentuckyDepartment of
    Political Science

2
Abstract
  • The existing literature on Americas drug
    control policy towards drug producing countries
    in Latin America contend that US policy has
    helped to create a political environment that has
    facilitated a significant rise in narco related
    violent crime, acts of terror against the state,
    and has destabilized the region in ways that
    foster the growth of the drug trade. But what
    effect does Americas drug control policy
    specifically, drug interdiction and the
    immobilization of drug traffickers have on narco
    related violent crime in Central American and
    Caribbean countries who serve as strategic drug
    transit zones in the global drug industry? We
    answer this question by empirically analyzing
    drug crime data for Caribbean and Central
    American countries from 1984 to 2000 using two
    different estimation procedures. The first is a
    time series cross-section model and the second is
    a simultaneous equation model. After controlling
    for variables that affect overall crime the
    results show that increasing levels of drug
    interdiction and the immobilization of drug
    traffickers contributes to increasing levels of
    drug related crime in the Caribbean basin. These
    results suggest that US drug control policy may
    have the unintended effect of destabilizing the
    socio-political systems of Central American and
    Caribbean countries important allies in
    Americas drug war and could ultimately
    discourage governments in the region from future
    cooperation with core aspects of US drug control
    policy.

3
The Relationship between Drug Trafficking and
Violent Crime
  • In the major drug consuming countries in the
    world such as North America and Western Europe,
    it is now conventional practice to refer to a
    tripartite classification scheme of
    psychopharmacological effects, economic
    compulsive drives, and systematic violence to
    identify the relationship of drugs to violent
    crimes against people and property (Goldstein
    1985 Tullis 1995).

4
The Relationship between Drug trafficking and
Violent Crime (contd)
  • The psychopharmacological dimension relates to
    people becoming irrational, agitated, impulsive,
    uncontrollably anger and physically abusive even
    to the point of committing murder. The economic
    compulsive dimension is associated with violent
    criminal acts to obtain money for personal drug
    consumption (e.g. through burglaries and
    robberies).

5
The Relationship between Drug trafficking and
Violent Crime (contd)
  • The systematic dimension relates to drug
    cartels, gangs, narco-insurgents and traffickers
    protecting their product or turf from
    law-enforcement officials, or from each other by
    resorting to extreme forms of violent behavior.
    The psychopharmacological and economic compulsive
    dimensions relates to violent crimes by drug
    abusers while the systematic dimension relates to
    violent crimes by cartels and traffickers.

6
American Drug Control Policy
  • Since violence is an integral part of the drug
    industrys operation, American policy makers
    contend that US drug control policies
    specifically, the interdiction of illicit drugs
    and the immobilization or arrest of drug
    traffickers is an effective means of reducing
    drug related violence in the global war on drugs
    (Reuter and Kleinman 1986).

7
American Drug Control Policy (contd)
  • American drug control policy is informed by
    the logic that the reduction of the supply of
    drugs will increase market prices in the US and
    as a result US consumers will therefore forgo
    drug consumption and drug abuse thereby reduce
    the likelihood of violent crime. By this logic,
    efforts to reduce domestic drug consumption in
    the US have led American policy makers to seek
    cooperation and collaboration with foreign
    countries in the areas of interdiction and
    trafficker immobilization (Toro, 1992).

8
American Drug Control Policy (contd)
  • To ensure foreign country cooperation in the
    war on drugs, the Reagan administration
    increased diplomatic pressure on drug producing
    and drug transit countries and strengthened the
    capacity of the US to impose the
    extraterritoriality of its criminal laws
    throughout the Western hemisphere. As a result,
    the administration introduced the Anti-Drug Abuse
    Act of 1986 and the priority of narcotics issues
    was, for the first time, placed on the
    international agenda. The US government developed
    a certification practice to evaluate the
    performance of foreign country cooperation in the
    drug war.

9
American Drug Control Policy (contd)
  • The Anti-Drug Abuse Act made US financial
    assistance, positive votes within multilateral
    lending institutions and trade preferences
    conditional on foreign governments cooperation
    against drug trafficking (Perl, 1989 United
    States Senate, 1988b).

10
Existing Research and US Drug Control Policy
  • Students of US drug control policy towards
    drug producing countries in Latin America have
    consistently noted that US policies have
    increased the level of drug related violent crime
    in the region. These scholars argue that by
    implementing US drug policies in the region,
    American policy makers have frequently introduced
    US military forces into countries like Bolivia,
    Columbia and Peru to battle traffickers at the
    source of their operations.

11
Existing Research and US Drug Control Policy
(contd)
  • For example Operation Blast Furnace - the
    intervention of U.S forces to destroy cocaine
    laboratories in Bolivia and the introduction of
    US military personnel to battle Narco-insurgents
    in Columbia and Peru. Consequently, American
    policy has militarized the region and facilitated
    an escalation of the drug related violence
    primarily kidnappings, assassinations and the
    spread of narco-insurgent violent confrontations
    against governments in the region (Bagley 1992
    Crandall 2002 Labrousse and Laniel 2001 Lupsha
    1996 Tokatlian 1994).

12
The Limits of Existing Research
  • The problem with this line of argument is that
    the causal inference - namely, that US drug
    control policy has facilitated the escalation of
    drug violence in Latin America - is not
    convincing. The counterfactual is that even in
    the absence of US drug control policies, drug
    related violence would most likely increase due
    to the fact that illicit drugs are largely
    produced in Latin American countries and
    traffickers would naturally utilize violence
    against each other and against governments in the
    region in order to expand and protect their
    enterprise.

13
The Limits of Existing Research (contd)
  • Essentially, existing studies are unable to
    separate the level of drug violence that is
    endemic to countries that produce drugs from the
    reported enabling affects of US policies towards
    the region. A more systematic approach would be
    to estimate the impact of US drug control
    policies on drug violence in Central American and
    Caribbean countries who serve as transit zones
    and not drug producers, and where drug cartels
    like Cali and Medaine or narco-insurgents groups
    like FRAPH in Columbia and the Shining Path in
    Peru are not indigenous to the political
    landscape of these countries. In this way much of
    the drug related violence that is endogenous in
    existing country specific studies can be avoided.

14
The Central Argument
  • 1. The only way in which US drug control policies
    - specifically drug interdiction could
    effectively reduce crime is if we make the
    assumption that the demand for drugs is elastic.
    However, given the psychopharmacological
    addictive nature of drug abuse, we argue that the
    demand for drugs is inelastic. And therefore drug
    interdiction under conditions of demand
    inelasticity will increase drug related violence
    by drug users (the economic compulsive dimension)
    and by drug traffickers (the systematic
    dimension).

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The Central Argument (contd)
  • 2.The Immobilization of drug traffickers will
    most likely increase drug related violence due to
    the fact that traffickers will be replaced at a
    higher rate than the level of arrests. In fact
    the immobilization of drug traffickers may be
    counterproductive to the goal of reducing crime.
    Given the strong financial rewards of the drug
    industry, the removal of one trafficker merely
    opens up opportunities for another to enter. And
    new recruited traffickers are likely to commit
    more violence as a way of consolidating their
    position as they move deeper into the industry
    (Spellman, 1994 Spellman, 2000).

18
The Central Dependent Variable
  • The Drug Crime variable measures the volume of
    drug related crime (homicides and robberies) per
    1000 persons for the Caribbean and Central
    American countries in our data set. The data is
    collected from various issues of the
    International Crime Statistics published by
    INTERPOL.

19
Central Explanatory Variables
  • 1. Drug interdiction is measured in terms of the
    interdiction of cocaine and marijuana and is
    calculated by dividing a countrys yearly
    seizures of cocaine and marijuana in kilograms by
    the yearly number of a countrys active law
    enforcement personnel. The drug interdiction data
    was collected from various issues of the
    International Narcotics Control Strategy Report
    and from the Organization of American States
    (OAS) the Inter-American Drug Abuse Control
    Commission (CICAD). The law enforcement
    personnel data was adopted from various issues of
    The Military Balance (Institute for Strategic
    Studies, 1984 - 2000).

20
Central Explanatory Variables (contd)
  • 2. Trafficker immobilization measures the yearly
    number of drug arrest of people convicted of drug
    trafficking. This data was also collected from
    various issues of the International Narcotics
    Control Strategy Report and from the Organization
    of American States (OAS) the Inter-American Drug
    Abuse Control Commission (CICAD).

21
Confounding Variable Number of Drug Users
  • We control for a host of variables that
    theoretically predict general crime and drug
    crime in particular. These include the number of
    drug users in the Caribbean basin. Since the
    psychopharmacological and economic compulsive
    dimensions of drug related crimes relates to
    violent crimes committed by drug abusers its is
    expected that increasing numbers of drug users is
    expected to increase drug related crime
    (Goldstein 1985 Tullis 1995). This data was also
    collected from various issues of the
    International Narcotics Control Strategy Report.

22
Confounding Variable Distance from the US
  • Drug trafficking is as much about the
    covering distance as it is about acquiring
    wealth. Since the Caribbean basin serves as a
    major transit point for drug traffickers, it is
    expected that countries that are geographically
    closer to the US will be more exposed to drug
    trafficking than those that are further away and
    will therefore have higher incidence of drug
    related violent crime. Our distance variable was
    collected from Direct-Line Distances, U.S Edition
    (Gary L. Fitzpatrick and Marilyn J. Modlin, 1986)

23
Confounding VariablesUnemployment
  • The rate of unemployment is traditionally used
    as a control variable in many criminological
    studies of crime. It is argued that high levels
    of unemployment increase the level of crime in
    general and drug related violent crime in
    particular,since the unemployed will be drawn to
    the lucrative drug industry (Ehrlich, 1973
    Chaiken and Chaiken, 1982 Spelman, 2000). This
    variable was collected from the World Banks
    World Development Indicators 2001.

24
Confounding VariablesEconomic Growth
  • Economic growth is also a conventional control
    variable used in many criminological studies of
    crime. High levels of economic growth is expected
    to reduce general crime and drug related crime in
    particular. (Bruce D. Johnson, Andrew Gloub and
    Eloise Dunlap, 2000). This variable was collected
    from the World Banks World Development
    Indicators 2001.

25
Confounding VariablesTotal External Debt
  • High levels of external debt encourage people
    in developing countries to export illicit drugs
    to rich drug consumers in the developed countries
    (George,1992). Since indebtedness decrease
    personal disposable income drug consumption and
    drug related violent crime will decrease as well.
    Therefore it is expected that the level of a
    countries total indebtedness will have a negative
    impact on drug violence. This variable was
    collected from the World Banks World Development
    Indicators 2001.

26
Confounding VariablesUS Drug Consumption/per
street Value
  • It is important to control for the effects of
    US drug consumption on drug crime in the
    Caribbean basin. Since Central American and
    Caribbean countries serve as drug transit zones
    for markets in North America, increases in US
    drug consumption drives up profits for
    trafficking gangs and increase the likelihood for
    systematic violent crime between them. This
    variable is calculated by dividing the yearly
    consumption of drugs in the US by the average
    street price. This data was collected from the
    2000 issue of the Office of National Drug Control
    Policy.

27
Estimation Model 1 Assumes an Exogenous
Relationship between Drug Control Policy and Drug
Crime
  • We analyze drug crime data for Caribbean and
    Central American countries from 1984 to 2000 via
    the following time series cross-section equation
  • Drug Crimeit ?0 ?1Drug Seizureit ?2Drug
    Arrestit ?3Drug Usersit ?4Distanceit
    ?5Unemploymentit ?6Economic growthit
    ?7External Debtit ?8Illicit Drug consumption
    per priceit ?it
  • The Estimation method is OLS with panel
    corrected standard errors assuming V(?it) ?2i
    and COV(?it, ?jt) ? 0 where i ?j.

28
Model 2 Assumes an Endogenous Relationship
between Drug Control Policy and Drug Crime
  • Our argument is that drug interdiction
    increases drug crime. However, it is plausible
    that increases in drug crime would force
    governments to interdict drugs. And since
    replacement theory predicts that the
    immobilization or arrest of traffickers increase
    drug crime, its is also possible that increases
    in drug crime would lead to the arrest of drug
    traffickers. In other words, drug interdiction
    (cocaine and marijuana seizures) and the
    immobilization of drug traffickers are
    endogenously related to drug crime. Instrumental
    variables are generated to predict drug
    interdiction (cocaine and marijuana seizures) and
    drug arrest. These instruments are placed into
    the statistical model that predict Drug Crime
    via the following Three Stage Least Least Square
    Structural Equation

29
Model 2 Three Stage Least Square Structural
Equation Model of Drug Crime
  • 1) Drug Crime1it ?10 ?11Marijuana
    Seizureit ?12Cocaine Seizureit ?13Drug
    Arrestit ?14Drug Usersit ?15Distanceit
    ?16Unemploymentit ?17Economic growthit
    ?18External Debtit ?19 US Drug consumption per
    priceit ?1it
  • 2) Drug Arrest2it ?20 ?21Drug Arrestit-1
    ?22Drug Crimeit ?23Marijuana Seizureit
    ?24Cocaine Seizureit ?25Distanceit ?26Drug
    Usersit ?27Unemploymentit ?28Economic
    growthit ?29External Debtit ?210 US Drug
    consumption per priceit ?211 US Marijuana
    Consumptionit ?212Money Launderingit ?2it

30
Model 2 Structural Equation Model of Drug Crime
(Contd)
3) Marijuana Seizure3it ?30 ?31Marijuana
Seizureit-1 ?32Drug Crimeit ?33Drug Arrestit
?34Neighboring States Effortit ?35US
Bilateral Drug Interdiction it ?36Total Coast
Line (Km) of CB Countries it ?37CB Countries
Distance from the US it ?38South American Drug
Seizures it ?39Per-capita purchasing power
parity in CB Countries it ?310US per-capita
purchasing power parity it ?311Government
Corruption in CB Countries it ?312Domestic
Illicit Drug Consumption in CB Countries it
?313Domestic Illicit Drug Consumption in the US
it ?314Economic Trade Openness of CB Countries
it ?315Individual Political Freedom and Civil
Liberties in CB Countries it ?316Institutional
Political Openness in CB Countries it ?317US
Aid to CB Countriesit ?3it
31
Model 2 Structural Equation Model of Drug Crime
(Contd)
4) Cocaine Seizure4it ?40
?41Cocaine Seizureit-1 ?42Drug Crimeit
?43Drug Arrestit ?44Neighboring States
Effortit ?45US Bilateral Drug Interdiction it
?46Total Coast Line (Km) of CB Countries it
?47CB Countries Distance from the US it
?48South American Drug Seizures it
?49Per-capita purchasing power parity in CB
Countries it ?410US per-capita purchasing power
parity it ?411Government Corruption in CB
Countries it ?412Domestic Illicit Drug
Consumption in CB Countries it ?413Domestic
Illicit Drug Consumption in the US it
?414Economic Trade Openness of CB Countries it
?415Individual Political Freedom and Civil
Liberties in CB Countries it ?416Institutional
Political Openness in CB Countries it ?417US
Aid to CB Countriesit ?4it
32
Model 2 Structural Equation Model of Drug Crime
(Contd)
Where superscript indicates equation number,
subscript i refer to a country and subscript t
refers to a year. The estimation method is three
stage least squares assuming COV (?jit, ?kit) ? 0
where j ? k.
33
RESULTS
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