structural adjustment programs and human rights:the counterintuitive effect of democracy
TRANSCRIPT
Structural Adjustment Programs and Human Rights:
The Counterintuitive Effect of Democracy
Horace Bartilow
Department of Political Science
University of Kentucky
Yanyu Ke
Department of Political Science
University of Kentucky
Abstract: Recent empirical research has found that the World Bank’s structural
adjustment programs (SAPs) increase human rights violations in countries that implement
structural adjustment. However, it remains unclear what type of regimes are more likely
to violate human rights when they implement SAPs. This article presents a
counterintuitive argument that suggests that human rights violations that result form
SAPs are more likely among democracies than autocracies. While the authority
characteristics of autocracies discourage public protest and thereby reduce the
opportunity for repression when SAPs are implemented, the institutional openness of
democratic governments encourages public protest against SAPs and, therefore, increases
the opportunity for state repression. This research employs a Bivariate Probit selection
model to estimate the interactive effect of regime type and the implementation of SAPs
on human rights violations for a sample of 164 countries from 1980-2002. The findings
support the argument that human rights violations increase in countries when democratic
governments implement SAPs.
Paper presented at the 2011 annual meeting of the American Political Science
Association, September 2, 2011, in Seattle, Washington, USA.
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I. Introduction
In 2004, the World Bank received more than 10,000 birthday cards from NGOs across
the globe wishing it an unhappy 60th birthday (Marshall 2008). Compared to the far left’s
appeal to abolish the World Bank and the International Monetary Fund (IMF) because
International Financial Institutions (IFIs) represented by the Bank and the IMF, argue the
far left, are just imperialist tools promoting Western interests at the expense of the third
world (Hayter 1971; Payer 1974, 1982; Hayter and Watson 1985; Danaher 2001), the
unhappy birthday wish is just a moderate criticism of the Bank’s crippled missions in the
past. For example, in India, there were corruption allegations against the Bank’s health-
care projects.1 Likewise, in Chad, NGOs accused the Bank-aided Chad-Cameroon
Pipeline Project of increasing the risk of civil war in Chad because the government of
Chad diverted part of the oil income, which should be used on education and health care,
to arms purchases (Dugger 2006). Although the Bank suspended the loans to Chad in late
2005 given the government’s violation of the agreed terms related to the allocation of oil
revenues, the program was resumed in 2006.2 And in Albania, the Bank’s project was
found wrongfully tearing down 16 civilian homes.3
While the list of failed Bank’s projects can go on and on, the World Bank has
been facing a barrage of criticism particularly since it introduced the structural
adjustment programs (SAPs) into less developed countries (LDCs) in the 1980s. In theory,
1 “Dirty Linen.”. The Economist. 2008. Mar 22-28: 68.
2 See the World Bank’s website for more information. The Chad-Cameroon Pipeline Project is available
from<http://web.worldbank.org/WBSITE/EXTERNAL/EXTSITETOOLS/0,,contentMDK:20263700~men
uPK:534319~pagePK:98400~piPK:98424~theSitePK:95474,00.html>, accessed 12/30/2008. Also see
“Breaking the Bank.” The Economist. 2008. 09/27-10/03/2008: 63-64. 3 “Guilty as Charged.” The Economist. 2009. Feb 28-Mar 6: 65.
2
SAPs are aimed at maintaining macro-economic stability and promoting economic and
social development in LDCs (Peet 2003; Marshall 2008). In practice, however, a large
amount of literature shows that SAPs failed to deliver on either economic or social
promises. For example, the Bank’s SAP policy of dealing with the Russian and East
European economic transitions in the 1990s was a notorious failure (Mosley 2006;
Woods 2006). Scholars criticize that the conditionality attached to SAPs works
ineffectively and the Poverty Reduction Strategy Papers (PRSPs) has not reached the
desired outcome (Ranis 2006; Stewart and Wang 2006; Woods 2006).
More important, recent empirical research has found that the World Bank’s SAPs
increase human rights violations in countries that implement structural adjustment
(Ibhawoh 1999; Abouharb and Cingranelli 2006). First, SAPs decrease recipient
governments’ legitimacy and their governing capacity, which leads to increased human
rights violations (Ibhawoh 1999; Abouharb and Cingranelli 2006). Second, the economic
liberalization required by SAPs can weaken governments’ respect for human rights by
violating economic rights and increasing domestic conflict (Abouharb and Cingranelli
2006). This finding has important implications for the World Bank given that social
development including the respect for human rights is the key element of the Bank’s
mandate (Marshall 2008). If the World Bank’s SAPs, as suggested by recent research,
have deteriorated recipient countries’ human rights practice, the Bank must adjust its
policy framework to avoid the negative effect.
However, it remains unclear what type of regimes are more likely to violate
human rights when they implement SAPs. To understand the negative effect of SAPs on
human rights in recipient countries, we need further explore whether the SAP effect
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varies across regimes. Traditionally, human rights research demonstrates that
democracies are more likely to respect human rights and autocracies are less likely to do
so (Poe and Tate 1994; Davenport 1995, 1996). Are autocracies more likely than
democracies to violate human rights when implementing SAPs? In this article we present
a counterintuitive argument that suggests that human rights violations that result form
SAPs are more likely among democracies than autocracies. While the authority
characteristics of autocracies discourage public protest and thereby reduce the
opportunity for repression when SAPs are implemented, the institutional openness of
democratic governments encourages public protest against SAPs and, therefore, increases
the opportunity for state repression.
This paper proceeds as follows. First, we briefly review the literature of SAPs.
Research questions arise from the literature review. Second, we draw insights on human
rights research to build the theoretical framework. Third, we discuss data and
measurement in this research. Then we employ a Bivariate Probit selection model to
estimate the interactive effect of regime type and the implementation of SAPs on human
rights violations for a sample of 164 countries from 1980-2002. The findings support the
argument that human rights violations increase in countries when democratic
governments implement SAPs. Finally, we reach conclusions and indicate implications
for future research.
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II. The Literature Review
The World Bank’s SAPs include policy reforms aimed at: 1) maintaining macroeconomic
stability through tight monetary policies such as raising interest rates and devaluating the
currency to improve the Balance of Payment (BOP) and austere fiscal policies such as
raising taxes and cutting government expenditures; 2) promoting long-term economic and
social development through economic liberalization policies such as deregulation,
privatization, free trade and global capital flows, institutional reforms, and the like (Singh
1999; Ferreira and Keely 2000). (Singh 1999; Ferreira and Keely 2000). In theory, the
SAP conditionality should help LDCs which need loans from the Bank increase
institutional effectiveness and economic performance, and therefore further enhance
social well-being. In practice, there is rarely large-N evidence showing that SAPs
successfully promote long-term economic development, let alone the overall social well-
being (Ferreira and Keely 2000; Przeworski and Vreeland 2000). With respect to the
World Bank SAPs, Easterly (2006) finds that most “African countries that received
intensive treatment from structural adjustment have had negative or zero growth……
Most ex-Communist countries that received shock therapy and many structural
adjustment loans have had sharply negative growth and high inflation.” Also, Przeworski
and Vreeland (2000) find that IMF SAPs have a negative impact on economic growth.
In particular, scholars and NGOs criticize SAPs as hurting the poor
disproportionately through cutting public expenditures, reducing government subsidies
on energy and food, and devaluating the currency (Crisp and Kelly 1999; Ferreira and
Keely 2000). That is to say, the burden of SAP conditionality rests on the poor given that
the poor are closely related to welfare programs supported by public expenditures. Take
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Mozambique as an example. In the 1990s, the World Bank and the IMF attached harsh
conditions to their programs in Mozambique. The SAP conditionality includes increasing
public-health service fees and privatizing water management and important industrial
sectors such as the cashew-nut manufacturing. The reform policies recommended by the
Bank and the IMF finally led to increased water and health-care fees and job losses
(Bond 2003). Additionally, the negative effects of SAPs on the poor may further result in
government crises. Employing a sample of more than 90 LDCs from 1970 to 2002,
Dreher and Gassebner (2008) find that SAPs increase the probability of government
crises partly due to increased inequality. Likewise, Easterly (2006, 218) analyzes eight
cases of state failure in the 1990s and finds that “spending a lot of time under an IMF
program is associated with a higher risk of state collapse.”
More important, recent research demonstrates that the implementation of SAPs
in recipient countries decreases governments’ respect for human rights. While Franklin
(1997) and Camp Keith and Poe (2000) find that the implementation of IMF SAPs
increases the probability of political repression and of the violation of physical integrity
rights, Abouharb and Cingranelli (2006) use a selection model based on data ranging
from 1981 to 2000 and find that the World Bank SAPs are associated with increased
human rights violations in terms of physical integrity rights. Furthermore, Ibhawoh (1999)
conducts case studies and argues that SAPs are prone to worsening human rights practice
in Africa. Ray (2007) employs a large-N dataset including 47 African countries from
1990 to 2000. The finding is that the SAP effect on human rights is negative as long as
the level of organized dissent passes an important threshold.
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Generally, the negative effect of SAPs on human rights can be attributed to two
mechanisms. First, SAPs undermine recipient governments’ legitimacy and their
governing capacity (Ibhawoh 1999; Abouharb and Cingranelli 2006). On the one hand,
governments have to use coercive methods to carry out SAP policies given the
unpopularity of SAPs (Abouharb and Cingranelli 2006). But at the same time the
unwelcomeness of SAPs reduces the government’s ability to implement policies
(Ibhawoh 1999). On the other hand, SAPs decrease the government’s legitimacy because
conditionalities attached to SAPs may imply incompetence (Bratton and Van de Walle
1997; Ibhawoh 1999). For example, Bratton and Van de Walle (1997) find that in Africa
the governments which receive IFI conditionality are more likely to experience mass
protests. Therefore, the governments have to resort to the violation of human rights to
implement SAPs when facing public discontents.
Second, the economic liberalization policies prescribed by SAPs may violate
economic rights and increase domestic conflict, which lead to deteriorated human rights
practices (Abouharb and Cingranelli 2006). Given that the trickle-down effect of
economic development expected from SAPs are rarely seen, the liberalization polices are
less likely to have a positive impact on economic rights and democracy. On the contrary,
the increased grievances, as a consequence of job losses and deteriorating welfare and
public education, are positively correlated with worsening economic rights and a higher
likelihood of civil conflict. Hence, governments respond to the tightened security
situation by violating human rights (Abouharb and Cingranelli 2006).
An important question arises from the research on SAPs and human rights.
Since human rights research traditionally agrees that democracies are the better human
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rights practitioners than autocracies (Poe and Tate 1994; Davenport 1995, 1996), can we
also conclude that autocracies are more likely than democracies to violate human rights
when implementing SAPs? In other words, is there a cross-regime variation on the SAP
effect on human rights? Research is scant in delving into this question. Note that Ibhawoh
(1999) argues that SAPs increase human rights violations in African authoritarian states
because those regimes have to rely on repressive behavior to implement the unpopular
SAP policies. Nevertheless, Ibhawoh’s (1999) finding is limited to case studies in African
countries. What will we find if comparing authoritarian regimes to democracies
employing large-N research? Counterintuitively, in this article we argue that democracies,
rather than autocracies, are more likely to be associated with less respect for physical
integrity rights when implementing SAPs. The centerpiece of our argument is that the
repressive capacity of authoritarian regimes has a dampening effect on the public
demonstration of grievances. We clarify our argument by first reviewing the determinants
of governments’ respect for human rights. We then draw on the human rights literature to
build our theory and derive the hypotheses. Finally we use a Bivariate Probit selection
model to test the hypotheses. To which we turn the next sections.
III. Theory and Hypothesis
Frey et al. (1999) summarize that traditionally there are three schools with respect to
governments’ human rights practices. The modernization school focuses on the
benevolent effects of economic development on social equality, education, and political
stability. Thus a developed state is more likely to show respect for human rights because
of the tolerance and social interdependence resulted from economic development. The
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second school, the dependency school, contends that the asymmetrical power distribution
in the world system widens the gap between the rich and the poor in peripheral states and
finally leads to increased political repression. The third school adopts a neo-Malthusian
perspective which emphasizes the negative impact of population pressure on human
rights (Frey et al. 1999).
Of the three schools, the modernization school gains much attention because the
policy implication is that economic development should improve governments’ record on
human rights. Nonetheless, empirical research provides mixed evidence related to
economic development. While Frey et al. (1999) find that economic development
positively affects governments’ respect for human rights, Poe and Tate (1994) and
Davenport (1996) argue that there is only limited evidence on the consistent positive
effect of economic development on human rights. Instead, the consistently significant
factor related to human rights arising from the research is democracy.
Democracy increases governments’ respect for human rights because: 1)
democratic regimes provide citizens with various channels of expressing discontents and
participating in politics through the guarantee of freedom of speech, freedom of the press,
freedom of religion, and the like (Poe and Tate 1994); 2) the checks and balances of
democratic regimes and the political cost (losing elections) of violating human rights in
democracies (Davenport and Armstrong 2004). Empirical research presents consistent
evidence demonstrating that democracy improves governments’ record on human rights
(Poe and Tate 1994; Davenport 1995, 1996; Milner 2002). Particularly, democratization
decreases the violation of human rights, especially after the Cold War (Cingranelli and
Richards 1999; Zanger 2000).
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Nonetheless, researchers also find that there is a within-regime variation on
human rights. Davenport (2007) finds that for autocracies, military regimes and single-
party regimes are less repressive. Besides, Davenport and Armstrong (2004) argue that
even in democracies, which can punish political leaders for violating human rights, the
sanction will not be effective if the legislature lacks the ability to inflict the political cost
on individual leaders. Besides, elections, the important instrument for democracies to
function, are insignificant in decreasing human rights violations in illiberal democracies
(Richards 1999). Although elections in democracies have a positive impact on human
rights, the effect is only significant in the years following elections instead of in the
election years (Richards and Gelleny 2007).
The findings on the within-regime variation related to governments’ respect for
human rights have two important implications for the SAP effect on human rights. First,
there should be a cross-regime variation with respect to human rights when recipient
countries implement SAPs given that different regime characteristics, as suggested by
above mentioned research, will affect the levels of governments’ repressive behavior.
Second, to understand the cross-regime variation, we should deal with the roots of
political repression, which are also revealed by aforementioned studies.
Why Do States Repress When Implementing SAPs? Generally, there are
two reasons for states resorting to political repression. First, states repress because the
benefit of repression exceeds the cost. The benefit may be political order and the
assurance of staying in power, while the political cost can be legitimacy and resources
(Davenport 2007). Second, states’ coercive behavior is a response to potential domestic
threat. States employ coercion and violate human rights when facing great domestic
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challenges and possessing no alternative mechanisms to resume political order
(Davenport 1995, 2007).
However, a “perception of threat” (Davenport 1995) must exist first for states
to feel the pressure, which can only be demonstrated by dissidents’ action. A brief review
on the outbreak of war should help our understanding of the “perception of threat”. Most
and Starr (1980, 934) suggest that the role of the “perceived risks and opportunities” is
indispensable for the war onset. During the process of war initiation and duration, the
decision makers must take risks and opportunities into account. On the one side, the cost-
benefit calculation (the perceived risk) influences the actors’ willingness to fight. On the
other, the actors must have the capacity and willingness to grab opportunities. In other
words, the willingness, opportunities, and the cost-benefit calculation affect war in an
intertwined way. The benefit of the fighting must be greater than the cost to overcome the
unwillingness. And the actors must possess enough willingness to catch opportunities.
Likewise, states which implement SAPs have to cope with domestic discontents
resulted from the cutting welfare spending, worsening economic situation, and the like.
Nevertheless, we argue that the cost of demonstrating grievances in autocracies is too
high and hence discourages public protest. It is not to say that citizens in autocracies will
never act against the ruling parties. Rather, what we argue is that the grievances derived
from SAPs are not high enough to overcome the perceived risk of protest. In other words,
the cost of taking to the street is extremely high and thus makes demonstration motivation
and mobilization less probable. As a consequence, the opportunity for states’ repression
should be relatively low in authoritarian regimes implementing SAPs because of the
lower perception of potential threat.
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On the contrary, the institutional openness of democratic governments
encourages public protest against SAPs. In democracies, the political rights, civil rights,
and civil liberties are guaranteed by the constitution. Therefore, citizens can resort to
public protest to address their grievances when states implement SAPs. More important,
the political opposition can exploit the public grievances resulted from SAPs to mobilize
supporters for political gains. Consequently, the public protest increases the opportunity
for state repression due to the higher perception of potential threat.
For example, from 2003 to 2005, when the Philippines was implementing the
World Bank’s project, Philippines President Arroyo had to escalate the level of coercion
to repress the political opposition when facing growing domestic discontents about the
regime corruption. Note that before 2005, the Philippines was ranked as a “Free” regime
by Freedom House.4 That is to say, the “free” characteristic of the regime gave the
political opposition the opportunity to make their grievances visible. Therefore, the
government can perceive more clearly about the threat facing the regime. Another good
example is the “IMF riots” in Ecuador (Easterly 2006). In 2002, indigenous groups in
Ecuador launched large-scale demonstrations against the government due to the IMF
SAPs. The incumbent president had to mobilize 25000 soldiers and police to repress the
protest (Easterly 2006). It is noteworthy that in 2002 the polity score of Ecuador was 6
according to Polity IV, a score approaching liberal democracy.5 Here comes the
hypothesis in this paper.
4 In 2005, Freedom House lowered the rank of the Philippines from “Free” to “Partly Free” due to the
increased repression of the Arroyo administration.
See more details on: http://www.freedomhouse.org/template.cfm?page=70&release=334 5 Check Polity IV Project’s website for the score: http://www.systemicpeace.org/polity/polity4.htm
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Hypothesis: Democracies are more likely to violate human rights when
implementing SAPs.
IV. Data and Measurement
We follow the bivariate probit selection models adopted in Abouharb and Cingranelli’s
(2006) research with minor respecifications. Data comes from the Cingranelli-Richards
(CIRI) Human Rights Dataset (Cingranelli and Richards 2008) and Abouharb and
Cingranelli (2006). There are 164 countries for the World Bank’s SAPs in the dataset and
the time period of this research is from 1980 to 2002.
Abouharb and Cingranelli’s (2006) research uses Entering into SAPs, a dummy
variable, as the dependent variable at the first stage to control for the selection bias which
may be introduced when determining the SAP recipients. The dependent variables at the
second stage of the models are human rights indicators from the CIRI dataset. Cingranelli
and Richards (2008) employ four indicators, killing, torture, political imprisonment, and
disappearance to represent physical integrity rights. Given that the bivariate probit
model must use dichotomous variables as the dependent variable, the four indicators are
collapsed into two categories with 0 indicating the violation of human rights and 1 as no
violations of human rights (Abouharb and Cingranelli 2006, 248). Collapsing the
dependent variables constitute the weakness of the research. Therefore, we use the full-
range physical integrity rights variable in our test of robustness.
Abouharb and Cingranelli (2006) use variables like the change of GDP, trade
dependence, regime types, populations, international conflict, and so on, as the
independent variables at the first stage to control for the selection bias. Since the focus of
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this research is the second stage, the impact on human rights, we mainly describe the
independent and control variables at the second stage. To test our hypothesis, we create
an interaction term democracy*SAP implementation as the independent variable based on
Abouharb and Cingranelli’s (2006) models. The other three main independent variables
at the second stage are: Democracy denoting regime types, SAP implementation, and
entering into SAPs.
Turn to the control variables. Following the discussion of Frey et al.’s (1999)
summary on factors which may influence governments’ human rights practices in the
theoretical section, we control for elements related to the economy, demography, regime
types, and conflict. Specifically, there are six control variables at the second stage of the
bivariate probit models in this research: GDP per capita, military regime, population,
interstate conflict, internal conflict, and British colony. Moreover, we use splines to
control for the time dependence.
Moreover, to test the robustness of the research result, we estimate the predicted
value of entering into SAPs and use it as the instrumental variable in ordered logit models.
To compensate for the drawback of the bivariate probit models, which use collapsed
dependent variables, we include the full-range physical integrity rights variable in the
ordered logit models when testing the robustness. Physical integrity rights ranges from 0
to 8, in which 0 denotes no respect for physical integrity rights and 8 represents full
government respect for these human rights (Cingranelli and Richards 2008). Finally, we
use bootstrap to correct standard errors.
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V. The Empirical Analysis
As aforementioned, we employ the bivariate probit selection models to estimate the
interactive effects of regime type and SAP implementation on human rights. The first
stage of the bivariate models controls for the possible selection effects when countries
negotiate SAPs with the World Bank. Given that we are mainly concerned with the
second stage of the models, we discuss the empirical results of the second stage. Table 1
presents the impact of implementing SAPs on human rights. Generally speaking, the
statistical results support our hypothesis. Democracies are more likely to violate human
rights, in terms of physical integrity rights, when implementing the World Bank’s SAPs.
In the first column of Table 1, the interaction term of democracy and SAP
implantation, has a significantly (at 95% level) negative effect on political killing. Recall
that all the four indicators of physical integrity rights use 1 to denote the respect for
human rights and 0 for the violation of human rights. That is to say, the negative sign of
the coefficient implies that human rights decrease. The finding shows that political killing
significantly increases in democracies during the process of implementing SAPs.
Furthermore, in the second column of Table 1, the interaction term of democracy and
SAP implementation has a significantly (at 95% level) negative effect on torture as well.
In other words, democracies significantly increase torture while implementing SAPs. The
exceptions for the deteriorating effect of SAPs in democracies on human rights are in the
third and fourth column of Table 1. There is no significant relationship between
democracy*SAP implementation and political imprisonment (or disappearance).
To present the marginal effects of SAP implementation in democracies on
human rights in a straightforward way, we graph the marginal interaction effects on
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political killing and torture respectively in Figure 1 and Figure 2. The downward trend in
the two figures clearly demonstrates that while the democratic score increases, the
situation of political killing and torture deteriorates. As our theory suggests, although the
implementation of SAPs in recipient countries increases grievances, citizens in absolutely
authoritarian regimes lack the motivation to take to the street to protest because of the
huge repression cost they must face. Consequently, the opportunity for authoritarian
regimes’ repression should be relatively low. In contrast, citizens that experience the
difficulty resulted from SAPs in democracies have more opportunities to protest against
the incumbent government. In order to stay in power, the government has to resort to
coercive measures.
It is interesting to ask why SAPs have no effect on political imprisonment and
disappearance. We argue that the cost-benefit calculation contributes to states’ decision
on adopting certain coercive methods. Take physical integrity rights in this research as an
example. Cingranelli and Richards (1999) find that of four categories of physical
integrity rights from the Cingranelli-Richards (CIRI) Human Rights Dataset (Cingranelli
and Richards 2004), torture is most likely to be adopted by states than political
imprisonment, disappearances, and extrajudicial killings. Besides, Abouharb and
Cingranelli (2006) find that torture is most statistically significant when states implement
SAPs. Given the extremely high cost when violating specific physical integrity rights,
such as political imprisonment and disappearances, in democracies to repress the
opposition protest, the coercive methods with lower costs, such as torture and political
killing, should be more likely to be adopted when democracies implement SAPs.
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Move to the remaining independent and control variables in Table 1. Consistent
with previous research findings, the implementation of SAPs increases the likelihood of
political killing, torture, and disappearance significantly. GDP per capita significantly
decreases the violation of physical integrity rights in all the four aspects. Obviously the
economic development provides a safety net for losers under SAPs. The demographic
factor, population, significantly (at 99% level) increases the opportunity of using political
killing, torture, political imprisonment, and disappearance to repress mass protests. The
scarce resources in a society with a huge population make the conflict between winners
and losers more severe when implementing SAPs. An unstable domestic situation
resulted from civil conflicts also contributes to worsening human rights. International
conflicts and the history of British colony cause no impact on governments’ practices on
physical integrity rights.
To test the robustness of our finding, we employ ordered logit models with the
inclusion of an instrumental variable, predicted entering into SAPs, and the full-range
physical integrity rights variable. Table 2 presents the statistical results, which are
consistent with the empirical results shown in Table 1. The interaction term of democracy
and SAP implementation significantly decreases physical integrity rights (at 99% level)
and increases the likelihood of political killing, torture, and political imprisonment. Table
3 provides the predicted probabilities for the interactive effects of SAP implementation
and democracy on human rights by using CLARIFY. The implementation of SAPs in
democracies worsens physical integrity rights by 2% as a whole. The likelihoods of
increasing torture, political killing, and political imprisonment in democracies
implementing SAPs are around 2%, 0.4%, and 0.6%.
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VI. The Conclusion
The empirical and robustness tests mostly confirm the hypothesis of this research by
revealing that compared to authoritarian regimes, democracies that implement the World
Bank’s SAPs are more likely to violate human rights. While previous research has found
that the Bank’s SAPs have a negative effect on recipient countries’ respect for human
rights, it remains unclear what type of regimes are more likely to violate human rights
when they implement SAPs. We argue that autocracies discourage public protest and
therefore reduce the opportunity for repression when SAPs are implemented.
Counterintuitively, the institutional openness of democracies encourages public protest
against SAPs and, consequently, increases the opportunity for state repression.
Employing bivariate probit selection models to estimate the interactive effect of regime
types and the implementation of SAPs on violations of physical integrity rights for a
sample of 164 countries from 1980-2002, the statistical findings support our argument.
Our research reveals that there is a cross-regime variation for the negative effect
of the World Bank’s SAPs on human rights practices in recipient countries. Hence the
policy implication for the World Bank in improving its design of SAPs is that there
should be a distinction between programs implemented in different regime types. A one-
size-fits-all package is not helpful in solving the recipient countries economic misery
because it ignores the differentiated characteristics in different countries. Moreover, more
attention should be paid to the human rights record in democracies. Future research
focusing on other aspects of human rights, such as workers’ rights and women’s rights,
will definitely help us understand the impact of the Bank’s SAPs on human rights.
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Table 1: The Impact of Implementing SAPs While Democracy Increases on Human
Rights, bivariate probit models.
Killing Torture Political
Imprisonment Disappearance
Democracy* SAP
Implementation
-.015**
(.007)
-.023**
(.011)
-.014
(.010)
-.007
(.007)
SAP
Implementation
-.237***
(.060)
-.233**
(.097)
-.063
(.084)
-.171**
(.067)
Democracy .002
(.006)
.042***
(.007)
.072***
(.007)
.001
(.006)
Entering into
SAPs
1.646***
(.065)
1.620***
(.168)
1.261***
(.185)
1.685***
(.077)
GDP per Capita .000***
(.000)
.000***
(.000)
.000***
(.000)
.000***
(.000)
Military Regime -.20*
(.102)
-.003
(.150)
-.138
(.141)
-.085
(.107)
Population (log) -.167***
(.022)
-.152***
(.029)
-.207***
(.026)
-.129***
(.023)
Interstate
Conflict
.022
(.087)
.136
(.109)
.010
(.102)
.089
(.091)
Internal Conflict -.164***
(.050)
-.360***
(.089)
-.275***
(.063)
-.274***
(.039)
British Colony -.063
(.058)
-.057
(.081)
-.050
(.076)
.089
(.061)
_PeaceYears -.226***
(.030)
-.394***
(.042)
-.393***
(.070)
-.384***
(.047)
_Spline1 .001**
(.000)
-.002*
(.001)
.000
(.000)
.002***
(.001)
_Spline2 -.012***
(.003)
-.024***
(.010)
_Spline3 -.004***
(.001)
.011**
(.004)
.004
(.003)
-.022***
(.366)
Constant 2.450***
(.345)
1.944***
(.449)
2.964***
(.413)
2.267***
(.366)
Rho -.982***
(.010)
-.851***
(.060)
-.748***
(.087)
-.974***
(.010)
2χ 1161.61 823.11 1185.89 1041.31
Prob > 2χ .000 .000 .000 .000
N 1918 1918 1918 1918
Note: * P<0.1, ** P<0.05, *** P<0.01
Standard errors are in parentheses.
24
Figure 1: The Marginal Effect of Regime Type and SAP
Implementation on Political Killing.
-.5
0.5
Marginal Effect of SAP Implementation on Political Killing
-10 -5 0 5 10Regime Type
Dashed lines give 95% confidence interval.
25
Figure 2: The Marginal Effect of Regime Type and SAP
Implementation on Torture
-.6
-.4
-.2
0.2
.4Marginal Effect of SAP Implementation on Torture
-10 -5 0 5 10Regime Type
Dashed lines give 95% confidence interval.
26
Table 2: The Impact of Implementing SAPs While Democracy Increases on Human
Rights, ordered logit models.
Physical
Integrity
Rights
Killing Torture Political
Imprisonment Disappearance
Democracy* SAP
Implementation
-.042***
(.013)
-.033**
(.016)
-.054***
(.015)
-.030**
(.014)
-.005
(.019)
SAP
Implementation
-.957***
(.131)
-.912***
(.143)
-.976***
(.137)
-.231
(.156)
-.668***
(.185)
Democracy .098***
(.009)
.007
(.011)
.082***
(.009)
.157***
(.009)
-.004
(.015)
Predicted
Entering into
SAPs
5.114***
(.571)
4.386***
(.590)
3.921***
(.763)
3.251***
(.682)
4.258***
(.896)
GDP per Capita .000***
(.000)
.000***
(.000)
.000***
(.000)
.000***
(.000)
.000***
(.000)
Military Regime -.146
(.153)
-.477***
(.161)
.118
(.198)
-.000
(.185)
-.264
(.204)
Population (log) -.557***
(.033)
-.403***
(.039)
-.379***
(.047)
-.487***
(.045)
-.271***
(.054)
Interstate
Conflict
.156*
(.094)
.063
(.160)
.188
(.155)
-.058
(.175)
.450***
(.172)
Internal Conflict -1.069***
(.071)
-.892***
(.080)
-.561***
(.084)
-.827***
(.097)
-.912***
(.070)
British Colony -.053
(.078)
.006
(.102)
-.185
(.135)
-.164
(.107)
.475***
(.163)
_PeaceYears -1.095***
(.258)
3.128***
(1.169)
14.205***
(2.978)
2.200***
(.837)
10.936
(9.077)
_Spline1 -.016
(.014)
.011**
(.005)
.030***
(.007)
.004**
(.002)
.066
(.061)
2χ 1203.3 501.66 518.26 787.53 406.27
Prob > 2χ .000 .000 .000 .000 .000
Pseudo 2R .206 .290 .330 .333 .305
N 1915 1918 1918 1918 1918
Note: * P<0.1, ** P<0.05, *** P<0.01
Bootstrapped standard errors are in parentheses.
Instrumental variable: Predicted Entering into SAPs.
27
Table 3: Predicted Probabilities (using CLARIFY) for the Interactive Effects of
SAP Implementation and Democracy on Human Rights.
Physical
Integrity
Rights
Killing Torture Political
Imprisonment
Democracy *
SAP
Implementation
.02 .004 .016 .006
Note: The predicted Probabilities are calculated by using the variables of interest from
their minimum to maximum levels while holding the remaining variables at their mean
levels.