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The Effect of Institutional Distance on Human

Rights Violations by Multinational Enterprises

MSc Thesis International Management Final Version

June 30, 2014

By: Mariëlle Plasmeijer 10664068

MSc Business Studies: International Management Track University of Amsterdam

First Supervisor: Michelle Westermann-Behaylo Second Supervisor: Lori DiVito

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1

Table of Contents

Abstract ... 2

Introduction ... 3

Literature Review ... 8

Business and Human Rights ... 8

Institutional Distance ... 11

Labor Violations ... 16

Environmental Violations ... 20

Hypotheses ... 22

Hypotheses and Research Model Labor Violations ... 24

Hypothesis and Research Model Environmental Violations ... 25

Methodology ... 27

Data ... 27

Human Rights Violations ... 27

Institutional Distance ... 28

Dependent Variables ... 29

Labor Human Rights Violations ... 29

Environmental Human Rights Violations ... 31

Independent Variables ... 32

Labor Institutional Distance ... 32

Environmental Institutional Distance... 32

Control Variable ... 32 Results ... 33 Labor Results ... 33 Environment Results ... 35 Discussion ... 37 Conclusion ... 44 References ... 45 Appendices ... 53

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2

Abstract

The protection of human rights is recently not only seen as a responsibility of states but also

of corporations. Due diligence is an important concept related to human rights violations by

multinational enterprises (MNEs) to asses and minimize the risks for companies to violate

human rights. Due diligence is especially relevant for MNEs and their foreign operations. In

this study the relationship between human rights violations and institutional distance is

investigated. Institutional enterprise. This concept can be used to explain the behavior of

MNEs. This study focuses on two types of human rights violations: labor and environmental.

The corporations and human rights database (CHRD) database was used to collect data

concerning human rights violations. This is a new database that collects data about this

difficult subject in a as systematic as possible way as far as this is possible given the

constraints inherent in doing any data collection regarding this subject. I am also helping to

further develop this database. The relationship between institutional distance and human

rights violations by MNEs is tested by using a logistic regression analysis. The results support

my hypothesis that labor unions institutional distance affects labor human rights violations by

MNEs. This study is a contribution to both the international management literature as well as

the business and human rights literature because it is the first time institutional distance is

linked to human rights violations by MNEs.

Key words: multinational enterprises, human rights violations, institutional distance, labor, environment

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3

Introduction

Privatization and globalization have given Multinational Enterprises (MNEs) unprecedented

access to new regions all over the world. Last decades the amount of MNEs increased

significantly (Huijstee, Ricco, & Ceresna-Chaturvedi, L, 2012). The societal impact of these

MNEs can be positive as well as negative. They can spread human rights, democracy, and

new technologies (Shah, 2002) and, they also contribute to economic development of

countries and increase employment opportunities (Huijstee et al, 2012). However, MNEs are

also involved in human rights violations too often (Aaronson & Higham, 2013; Huijstee et al.,

2012).

A lot of MNEs are developing codes of conduct incorporating human rights. Society at

large also pays more and more attention to human rights violations (Aaronson & Higham,

2013; Lim & Tsutsui, 2012). But MNEs are still involved in human rights violations way too

often (Aaronson & Higham, 2013; Huijstee et al., 2012; Lozano & Prandi, 2005; Ruggie,

2008; Ruggie, 2013). They drive indigenous people away from their lands, pollute the

environment where whole communities depend on, destroy ecosystems, contribute to poor

working conditions or operate in countries where governments do not respect human rights

(Aaronson & Higham, 2013; Huijstee et al., 2012; Lozano & Prandi, 2005).

The protection of human rights often implies higher costs for companies. This is why

many of them are induced in violating these rights. For example, worker’s wages and working

conditions are reduced because they are such a major part of a company’s costs (Shaw, 2002).

More and more people are asking attention for human rights violations because of the

growing amount of non-governmental organizations (NGOs) asking attention for it and the

spread of information via the internet (Shah, 2002). In July 2005 the United Nations declared

John Ruggie the Special Representative of the Secretary-General on the issue of human rights,

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4 its ‘Protect, Respect, and Remedy’ framework (Ruggie, 2008). The framework stresses the

duties and responsibilities of states and multinational enterprises in the protection of human

rights. In 2011 Ruggie published the Guiding Principles which are a description of how the

framework could be implemented (Huijstee et al., 2012).

Important for MNEs is due diligence. This is defined as follows: “in order to identify,

prevent, mitigate and account for how they address their human rights impacts, business

enterprises should carry out human rights due diligence. The process should include assessing

actual and potential human rights impacts, integrating and acting upon the findings, tracking

responses, and communicating how impacts are addressed” (UNHRC, 2011, p. 16).

According to Ruggie (2008) business is important as a source for investment and for

job creations. Markets are important to allocate scarce resources. Business and markets are

able to reduce poverty, generate economic growth, increase demand for the rule of law, and

thereby they contribute ‘to the realization of a broad spectrum of human rights. But markets

work optimally only if they are embedded within rules, customs, and institutions’ (Ruggie,

2008).

Institutions play a central role within the international business (IB) field (Xu &

Shenkar, 2002). Ruggie (2008) also stated that institutions are important in relation to

business and human rights. Therefore institutional theory could offer an explanation for

human rights violations by MNEs.

An important concept within this theory is the concept of institutional distance.

Institutional distance is the distance caused by difference in institutions between two countries

(Kostova, 1996). Institutional distance can be used to explain some kinds of MNE behavior

(Xu & Shenkar, 2002). For human rights violations by MNEs is also a type of MNE behavior,

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5 Investigating human rights violations by MNEs could be an interesting topic for the IB

field since MNEs are too often involved in those violations (Ruggie, 2013). Moreover due

diligence asks for more understanding of the risk factors involved in human rights violations

by MNEs. This study expects that there is a relationship between human rights violations and

institutional distance because the concept of institutional distance is developed to explain

MNE behavior caused by cross-country differences between the host and the home countries

of MNEs (Xu & Shenkar, 2002). The question this study aims to answer is what is the

relationship between institutional distance and human rights violations by MNEs?

Even though, the attention for business and human rights increased significantly, little

empirical research has been conducted in the IB field related to corporate human rights

violations. Due to increased attention by society, governments and companies to this topic

that there is a need to use IB related theories to explain these human rights violations by

MNEs. The IB field has an important role to play because corporate human right violations

often take place in host countries where MNEs operate (Aaronson & Higham, 2013).

Institutional distance is regularly used in the IB field, however no previous study has

investigated the relationship between human rights violations by MNEs and institutional

distance. This study will make a contribution to the IB literature by investigating this

relationship.

There are different types of human rights. You have, for example labor,

environmental, and health human rights. The two other types of human rights relate to poverty

and development. This study focuses on labor and environmental human rights.

There are different stories out there about environment and labor violations. A few

years ago a lawsuit against Shell was started because of the environmental damage Shell

caused by their oil spills (Akinbobola, 2014). Oil spills can cause environmental devastation

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6 environment is important for human beings because only then they can fully enjoy human

rights such as the rights to life, health, food, water, and sanitation ( United Nations Human

Rights, n.d.).

Another story about a MNE violating human rights is about the work conditions

within clothing factories of companies such as H&M. Girls from poor, rural families were

told by recruiters that they would earn a good salary, instead they had to work for a salary

much lower than promised, moreover the conditions they had to work under were very bad

(Liebelson, 2014). Human rights related to labor as described in the International Bill of

Human Rights are the right of a fair wage, and safe and healthy working conditions.

To measure the relationship between institutional distance and labor human rights

violations by MNEs a sample of 56 MNEs operating in the apparel, clothing, and textiles

industry is used. Labor unions and national laws and regulations are the institutions used to

determine institutional distance. The relationship between labor unions distance and labor

human rights violations by MNEs and the relationship between laws and regulations distance

is tested using a logistic regression analysis. The results showed that when the labor unions

distance between the host country and the home country is high the probability a MNE

violates labor human rights is bigger. Evidence in this study did not support a relationship

between national laws and regulations and human rights violations. However, this result only

applies to the data gathered for this study.

To measure the influence of institutional distance on environmental human rights a

sample of 54 MNEs operating in the Oil, Gas, and Coal industry is used. The Environmental

Performance Index (EPI) is used to compute environmental institutional distance. The

Environmental Performance Index is used because it includes a lot of environmental

institutions. Unfortunately the results did not show a relationship between environmental

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7 being used to collect data regarding environmental institutional distance. If individual

institutions were used to compute institutional distance the results could have been different.

In the next section will describe the relevance of investigating institutional distance

related to corporate human right violations by integrating the literature concerning corporate

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8

Literature Review

Business and Human Rights

The issue of business and human rights appeared on the global policy agenda in 1990. The

reason for its appearance was the huge expansion of the economic sector worldwide

(UNHRC, 2011). More and more high-profile public figures asked attention for the issue of

business and human rights in the years that followed. Mary Robinsson, the former United

Nations High Commissioner for Human Rights, was one of them. She recognized business’

responsibility in protecting human rights (Arkani & Theobald, 2005). ‘Business decisions can

profoundly affect the dignity and rights of individuals and communities’ (Robinson, 1998 in

Arkani & Theobald, 2005). Also NGOs are progressively profound to proof the responsibility

of business to respect human rights. Business itself is showing an increased interest for the

issue of human rights as well. (Arkani & Theobald, 2005).

A few years ago some principles were developed to integrate human rights in

corporate behavior. These Guiding Principles on Business and Human Rights were developed

by Professor John Ruggie, the UN Secretary-General’s Special Representative for Business

and Human Rights. They form an initiative to link states, businesses, NGOs and other

stakeholders to reach consensus on human rights and how they should be respected. The

Guiding Principles got approved in 2011 (UNHRC, 2011).

The Guiding Principles are based on the ‘Protect, Respect, and Remedy’ framework

developed by the same professor. The framework states the duties and responsibilities of both,

states and companies, in how to handle corporate human-right violations (Ruggie, 2008,

UNHRC, 2011). The Guiding Principles are more concrete and practical recommendations on

how to implement this framework (UNHRC, 2011). The ‘Protect, Respect, and Remedy’

framework can help states, companies and civil society in general to reduce human rights

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9 The ‘Protect, Respect and Remedy’ framework is based on three pillars. The first pillar

describes the duty of national states to protect human rights by involving corporations and

other kinds of businesses. The second pillar describes the duty of corporations to respect all

human rights. The last pillar describes the access to judicial and non-judicial remedies for

victims of human rights violations (UNHRC, 2011).

Since the publication of the Guiding Principles more and more international actors

recognize that states have to ensure corporations respect human rights. The Guiding Principles

helped to link the international human rights obligations of governments to voluntary actions

by corporations. All members of the OECD and some other countries such as Argentina,

Brazil, Egypt and Morocco recommended the guidelines to corporations. The statement they

wanted to make by doing this is that all companies should respect human rights in every

country they operate. These initiatives from the different government are mainly voluntary

(Aaronson & Higham, 2013).

The responsibility to respect human rights is increasingly seen as a responsibility of

business and not solely as the responsibility of states (Lozano & Prandi, 2005; UNHRC,

2011). The Guiding Principles is one of the initiatives that establishes a obligation for

business to protect and respect human rights violations. The responsibility of MNEs to protect

human rights is often placed under the umbrella of corporate social responsibility (CSR)

(Lozano & Prani, 2005; Moir, 2001).

The responsibility of MNEs to respect human rights includes that MNEs try to avoid

causing or contributing to human rights violations with their own activities. If a MNE is still

involved in a human rights violation it should address this. The responsibility to respect

human rights applies to MNEs of all size, small- and medium-sized MNEs can be involved in

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10 The responsibility of MNEs to respect human rights applies to all internationally

recognized human rights. The International Bill of Human Rights lists internationally

recognized human rights. Some of these human rights may be more at risk than others in

particular environments and therefore require more attention of business (UNHRC, 2011).

An important concept that is related to the responsibility of MNEs to respect human

rights is that of due diligence. “In order to identify, prevent, mitigate and account for how

they address their human rights impacts, business enterprises should carry out human rights

due diligence. The process should include assessing actual and potential human rights

impacts, integrating and acting upon the findings, tracking responses, and communicating

how impacts are addressed” (UNHRC, 2011, p. 16). Due diligence is more than just an

assessment of risks for the MNE. Human rights due diligence can be included within broader

enterprise risk-management and should go further than just identifying managing material

risks for the company itself. A MNE should conduct due diligence across its entire supply

chain as well (UNHRC,2011). The concept of due diligence asks for more research to the risk

factors related to potential human rights factors.

The respect for human rights varies among countries and MNEs. For example,

Canadian and US firms feel responsible for a smaller range of human rights than European

firms. Aaronson and Higham (2013) also found significant variation in human rights policies

and compliance between MNEs from different countries. European MNEs are more likely to

have human rights policies than MNEs from other continents. These differences may be

caused by differences, among others, culture (Aaronson & Higham, 2013).

Countries differ in the degree in which they are concerned about human rights

violations. Countries such as India and China seems much less concerned with human rights

violations caused by Indian or Chinese MNEs in host countries. Countries such as Brazil,

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11 violations that took place in other states (Aaronson & Higham, 2013). Sometimes countries,

especially developing countries, lack institutional capacity to enforce national laws and

regulations against MNEs. The home countries of MNEs may be reluctant to regulate

activities of MNEs outside their respective home countries. Home countries are concerned

that a MNE is going to move its headquarters to another country if they regulate overseas

activities (Ruggie, 2008).

The introduction of this study states the focus of this research will be institutions,

more specifically on institutional distance. The Guiding Principles showed the role of global

institutions, such as the United Nations (UN), on social responsible behavior of MNEs.

Ruggie stated the role of national institutions in his ‘Protect, Respect, and Remedy’

framework. The economic sector can only function optimally if it is ‘embedded by rules,

customs and institutions’ (Ruggie, 2008). Due to the role of institutions being regularly

stressed in literature on business and human rights, and also in the IB-field, this study expects

that institutional distance can offer an explanation for human rights violations by MNEs. In

the following section the concept of institutional distance will be described.

Institutional Distance

The UN is a good example of an international institution that tries to reduce human rights

violations by MNEs. However, protection of human rights is also needed at the national level.

The international institutional environment, where the UN is part of, increasingly recognizes

the importance of these national institutions (Reif, 2000).

This section provides an overview of the institutional theory and the concept of

institutional distance. North (1991) described institutions as “the humanly devised constraints

that structure political, economic and social interaction. These constraints consist of both

informal constraints (sanctions, taboos, customs, traditions, and codes of conduct), and formal

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12 As may be clear from the citation above North (1991) divides the institutional

environment in informal institutions and formal institutions. Different scholars have used the

distinction between formal and informal institutions in their research (Aguilera-Caracuel,

Hurtado-Torres, Aragón-Correa & Rugman, 2013; Majid & Preet, 2012; North, 1991). Formal

institutions are formal rules such as constitutions, property rights and laws (Majid & Preet,

2012; North, 1991). According to Majid & Preet (2012) formal institutions should “establish

the rules of exchange and regulate the behavior of business partners”(Majid & Preet, 2012, p.

480).

Informal institutions on the other hand are constraints such as traditions, sanctions and

codes of conduct (North, 1991). Some scholars mention cultural institutions when they refer

to informal institutions (Salomon & Wu, 2012 in Aguilera-Caracuel et al., 2013). According

to North (1991) informal institutions come into play when formal institutions fail.

Scott (1995), took it a little bit further, he argued the institutional environment can be

divided into three pillars: the regulatory pillar, the cognitive pillar and the normative pillar.

The regulatory pillar exist of the rules and regulations of a country (Scott, 1995). The

institutions belonging to this pillar ensures stability and order in states. MNEs have to comply

with the rules and regulations of a country to gain legitimacy. When a MNE is operating in a

country for a longer period it has the power to influence the rules and regulations (Kostova &

Zaheer, 1999)

The cognitive pillar represents the cognitive structures in a country, this are the

informal constraints that are taken for granted by the citizens of a country (Scott, 1995). The

cognitive institutions represent the way in which citizens notice, categorize, and interpret the

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13 The normative part of the institutional environment goes beyond the regulatory and

cognitive part of this environment. It represents the norms and values held by the citizens of a

country (Kostova, 1999; Kostova & Zaheer, 1999; Scott, 1995).

Besides the distinction of institutions into regulative, cognitive, and normative or in

formal and informal institutions one can find many other types of institutions in the literature,

for example, economic institutions (Du, Lu & Tao, 2011), and labor-market institutions

(Appelbaum & Schmitt, 2009).

Economic institutions are institutions that “ensure the smooth operation of a market

economy such as contract enforcement, property rights protection government efficiency and

government intervention in business operations" (Du et al., 2011 p. 2010), while labor market

institutions influence how companies deal with employment choices and how they make

decisions regarding the organization of production (Appelbaum & Schmitt, 2009 p. 1910).

Examples of national institutions that are important in the protection of human rights

are strong national laws and regulations, a strong national army that is able to protect human

rights, and NGOs that are working for the respect of human rights (Reif, 2000). For labor

human rights violations laws and regulations seem to be important (Akorsu&Cooke, 2011;

Arat, 2002; Björkman et al, 2007; Black, 1999). Another example of an important institution

at the national level are labor unions. Labor unions could be important in the protection of

labor human rights.

For the protection of environmental human rights the environmental institutions are

important. The Environmental Performance Index (EPI) is a good index, it measures the

environmental institutional profile of a country(Aguilera-Caracuel et al., 2013). In the

method section this index will be described further.

Because countries develop their own kind of institutions MNEs have to deal with

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14 the concept of institutional distance is developed by Kostova (1996). Institutional distance is

an important aspect of institutional theory. It is the difference between the institutions of the

home and the host country (Kostova, 1996). Institutional distance can provide an explanation

of MNE behavior (Xu & Shenkar, 2002).

MNEs face multiple country institutional environments, by using the concept of

institutional distance it is possible to capture the cross-country differences between the

institutional environments in which an MNE operates (Kostova & Zaheer, 1999; Xu &

Shenkar, 2002). Countries have different institutional environments (Kostova, 1996; Kostova

and Zaheer, 1999; Xu & Shenkar, 2002) because institutions are affected by the social cultural

environments in which they were developed and used (Kostova and Zaheer, 1999). The social

cultural environment can be characterized by its country institutional profile (CIP) as defined

by Kostova (1996). CIP is a three-dimensional construct existing of regulatory, cognitive, and

normative institutions (Kostova, 1996). For example laws and regulations are country specific

because they are formed by national governments and so are the outcome of political

processes. Other types of institutions are formed through the educational system and through

social interaction within national borders (Kostova and Zaheer, 1999).

In earlier literature the ‘Kogut and Singh’ formula on cultural distance based on

Hofstede’s dimensions of culture, was widely used to capture the cross-country differences

(Xu & Shenkar, 2002). Hofstede divides culture into five dimensions. Power distance,

individualism versus collectivism, masculinity versus feminity, uncertainty avoidance, and

long term versus short term orientation (Hofstede, 1995). An extensive description of the five

dimensions is out of the scope of this study.

According to Xu and Shenkar (2002) the ‘Kogut and Singh’ formula ignores the role

of institutions and therefore does not capture the complexity of cross-country differences.

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15 They specifically focused on host country selection and foreign entry strategy. They stated

that cultural distance and institutional distance are concepts that complement each other.

Neither of the two concepts captures the full set of differences between countries (Xu &

Shenkar, 2002).

Earlier literature, used the concept of institutional distance to explain legitimacy of a

MNE in its host country (Kostova and Zaheer, 1999) and to explain the transfer of

organizational practices from the parent company to the foreign subsidiary (Kostova, 1999).

Following the studies mentioned above institutional distance was regularly used as a

research variable in the IB field. For example, Aguilera-Caracuel et al. (2013) use the concept

of institutional distance to see what the impact is on different strategies of MNEs. They

conclude that the similarity or dissimilarity of the institutional environments of a host and a

home country influences the strategic decisions of a MNE (Aguilera-Caracuel et al., 2013).

There are different studies that link institutions and institutional distance to foreign

direct investment (FDI) (Aleksynska & Havrylchik, 2012; Bénassy-Quéré, Coupet & Mayer,

2007; Dang, 2013; Du et al., 2012;). A few studies show that MNEs are tended to enter

countries with similar institutions. So a MNE from a country with strong institutions does

prefer to enter a country with strong institutions as well. The same applies the other way

around, so MNEs from countries with weak institutions invest in countries with weak

institutions (Aleksynska & Havrylchik, 2012; Bénassy-Quére et al., 2007).

Bénassy-Quére et al. (2007) use a regression analysis to measure the impact of

institutional distance on FDI. Their results show that institutional distance always has a

negative impact on FDI. This result indicates that institutional distance is more important than

the quality of institutions. (Bénassy-Quére et al., 2007). However, Aleksyhnska &

Havrylchyk (2012) show by using a gravity equation that institutional distance can actually be

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16 institutional distance. Because for those MNEs it can be of great advantage to invest in

countries with strong institutions.

Other studies in the IB-field investigated the relationship between institutions or

institutional distance and the mode of entry (Ando, 2012; Lu, 2002; Xu, Pan & Beamish,

2004). When institutional distance between the home and host country of a MNE is high

non-equity entry-modes are preferred. One explanation for the existence of this relationship is that

high institutional distance increases uncertainty (Ando, 2012; Xu et al., 2004). Ando (2012)

found that international experience of the MNE moderates the relationship between

institutional distance and the choice of entry-mode. MNEs with more international experience

do more often choose an equity entry-mode.

Dhams (2014) investigated the effect of formal and informal institutional distance on

how integrated a subsidiary is in the transactional network of a MNE. They found that

subsidiaries that are located in countries at a greater institutional distance are less integrated

into the transaction network of the MNE.

Greater institutional distance influences the mode-of-entry choice of MNEs. The

greater the distance the more likely a MNE is to choose a non-equity mode of entry (Xu &

Shenkar, 2002). Yiu & Makino (2002) found that the greater the institutional distance the

more likely it is that a MNE chooses a joint venture over a wholly owned subsidiary. In

another study Aguilera-Caracuel et al. (2013) found that greater institutional distance leads to

lower environmental performance standardization within the MNE.

Labor Violations

MNE activities are regularly associated with negative social and environmental spillovers

especially in developing countries. Some of these negative spillovers are labor violations

such as child labor, exploitation of workers, extensive working hours, poor health and safety

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17 environmental pollution (Akorsu & Cooke, 2011). In the next section the focus will be on

these environmental violations by MNEs, in this section the focus will be on the labor

violations.

An example of a MNE that is accused of violating labor human rights is Topshop. Sri

Lankan, Indian, and Bangladeshi workers were recruited in their home-countries by

self-employed agents for a job in Mauritius. They had to pay the recruiters 725Britisch pounds to

get the job. Once they arrived in Mauritius they had to work up to 12 hours a day for 6 days a

week. They received a salary between 20 and 40 pounds, which is 40% below the local

minimum (Newell & Winnett, 2007).

Another case that involves labor violations by MNEs concerns a group of over 100

companies , among them many MNEs such as Adidas, le Coq Sportif and FILA, that are

hiring workshops in Argentina to produce clothes that keep their workers in bonded

conditions. Bonded labor means the workers have to work long hours, often 7 days a week

for little or no pay. Most of the workers are from Bolivian origin. Many very similar stories

can be found on the internet and in news papers regarding labor rights violations by MNEs

(Adital, 2007).

It has been argued that host countries, especially developing countries, are

experiencing different advantages of the activities of MNEs since they create jobs, capital

and technology. Also in the international human resource management (IHRM) literature it

has been argued that MNEs influence good human resource practices despite institutional and

cultural challenges. However, Due to intensified competition caused by globalization MNEs

try to reduce labour costs with as a consequence that workers are getting paid way below the

minimum level and often have to work under unsafe conditions (Akorsu & Cooke, 2011;

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18 Examples of labor human rights are freedom of association, right to a safe work

environment, right to family life, abolition of slavery and forced labor, and the right to equal

pay for equal work (Ruggie, 2008). The case on the Sri Lankan, Indian, and Bangladesh

workers mentioned before is an example of a violation of the right to equal pay for equal

work since their wages were way below the wage that a Mauritian worker would have

received for the same work.

There are different articles written about who is mainly responsible to prevent labor

violations. There are different authors that argue that both state and private institutions such as

MNEs and labor unions are responsible for the protection of labor rights (Amengual, 2010;

Doorey, 2010; Ruggie; 2008). MNEs are responsible for the protection of human rights even

if the government of a host country fails to protect labor human rights (Ruggie, 2008;

UNHRC, 2011).

An example of private initiatives to protect labor rights are MNEs that created codes

of conduct which include the respect for a certain level of labor rights. Codes of conduct are

voluntary set standards by MNEs or other kind of businesses (Amengual, 2010). Despite those

private initiatives of MNEs there are still a lot of labor violations going on (Aaronson &

Higham, 2013; Huijstee et al, 2012).

Labor institutions vary across countries (Freeman, 2007). There are, among others,

differences in laws and regulation, the education- and training systems and the existence of

labor unions between countries (Chowdbury & Mahmood, 2012; Freeman, 2007). Differences

in institutions between countries influence the labor practices of MNEs in host countries

(Björkman, Fey & Park, 2007; Chowbury & Mahmood, 2012; Edwards & Kuruvila, 2005). In

the literature it is common to use the term human resource management (HRM) practices to

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19 National labor laws and regulations are seen as a component of the labor institutions

system by several studies (Akorsu & Cooke, 2011; Arat, 2002; Björkman et al, 2007; Black,

1999). Akorsu & Cooke (2011) investigated national labor laws and international labor

standards in relation to labor standards adopted by MNEs. In another study on child labor a

lack in enforcement of national labor law is seen as one of the causes that child labor exists

(Arat, 2002). National labor laws are part of the general national law system and regulations

of a country. Within North’s (1991) analysis of the institutional environment laws and

regulations are part of the formal dimension.

Another important component of a labor institution system is the labor unions. Labor

unions or trade unions are organizations that work for the common interest of a group of

workers related by the same field of work or industry. Labor unions help their members with

issues concerning good working conditions and fairness of pay (Labour Behind the Label,

n.d.; The Economic Times, n.d.). MNEs might view labor unions as something negative

because of the “monopoly face” of labor unions, since labor unions do have the power to raise

wages above competitive levels (Bennet & Kaufman, 2007).

Many studies use labor unions in their research (Black, 1999; Doorey, 2010; Freeman,

2007; Ioannu & Serafeim, 2012; Whitley, 1999). Whitley (1999) was one of the first authors

to use labor unions as part of the institutional system of a country. “Historically unions have

been the major organization representing workers, and collective bargaining has been the

main mechanism by which they raise wages” (Freeman, 2007).

According to Amnesty International labor unions are at the forefront of the defense of

human rights (Amnesty International UK, 2013). The right to form and join labor unions is a

human right on itself. Freedom of association gives workers the right to form a labor union.

Collective bargaining gives workers the right to join a labor unions (Labour Behind the Label,

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20 To measure the effect of institutional distance on human rights violations by MNEs

two types of labor institutions are used. The first type is laws and regulations. The World

Justice Index is used to measure the quality of laws and regulations in a country. A more

detailed explanation of this index, which consists of labor laws and labor unions, will be given

in the methods section.

Environmental Violations

MNE activities can be very harmful for the environment. Especially the activities of MNEs

that operate in high-polluting industries, for example the extractive industry. Those activities

can pollute air, water, and other ground resources. A lot of times those can have a great

impact on the health and safety of a country’s citizens as well (Esty &Porter, 2001; Sethi,

Lowry, Veral, Shapero, Emelianova, 2011; Wu, 2009).

In the CHRD database used to collect data about human rights violations in this study

a distinction is made between different types of environmental human rights violations: water

contamination, air contamination, land contamination, land erosion/impossibility to harvest,

deforestation, destruction of natural resources, destruction of wildlife and unsustainable use of

natural resources (Olsen, 2014).

Nigeria is one of the countries which is regularly the victim of oil spills caused by

pipelines and oil wells belonging to big MNEs. A recent oil spill took place on 19 June 2013

at the Trans Niger Pipeline owned by a subsidiary of Shell caused a fire. The environment

around it is polluted and this affects daily life of local communities (Rebmann, 2013). Oil

spills brings a safe, clean, healthy, and sustainable environment at risk while this is very

important for people to fully enjoy human rights such as the rights to life, health, food, water,

and sanitation. A clean environment helps protecting human rights and at the same time

protecting human rights helps to protect the environment (United Nations Human Rights,

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21 The oil spill that took place in 2013 is just one of the human right violations that Shell is

accused of. Other allegations made relate to air- and water contamination and also to putting

the lives and heath of local communities at risk (Global Exchange, 2013).

British Petroleum (BP), another well-known MNE operating in the oil, gas & coal

industry, was accused of polluting the environment with its oil refineries located in Durban,

South-Africa. Local communities are struggling with health problems because of the high

emissions caused by the oil refineries (Clark, 2004).

There are many stories out there similar to the stories above of Shell and BP about

MNEs violating environmental human rights. The violations range from polluting the

environment to putting people’s health at risk. The question is why do MNEs engage in

environmental human rights violations?

Standard economic theory can provide an explanation for environmental violations

according to Wu (2009). A MNE chooses to violate environmental regulations if the costs of

compliance are higher than the costs of violating regulation. Wu (2009) found that

competitive pressure, cost reductions, retain quality employees and create product or process

innovations influence MNEs to comply to environmental regulations. Costs and risks related

to the adoption of environmentally friendly practices influence the likelihood of

environmental rights violations by MNEs (Wu, 2009).

Another study investigated the effects of FDI stemming from MNEs from developing

countries. MNEs from developing countries seemed to be more constrained by reputational

and financial considerations forcing them to prevent the violation of environmental rights.

Moreover, it was found that these types of MNEs are able to create competitive pressure that

presses other MNEs to improve environmental practices (Zeng & Eastin, 2012).

In the literature a few types of environmental institutions are found that try to prevent

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22 regulations (Etsy & Porter, 2001; Stretesky & Lynch, 2011; Wu, 2009). Most environmental

regulations are developed at the national level (Rugman & Verbeke, 1998).

A second type is international environmental institutions. Those institutions influence

countries as well as companies to respect environmental human rights (Bernauer, 1995).

The third type of environmental institutions found in the literature is NGOs. NGOs

play a central role in environmental protection. Even the UN recognizes NGOs as key players

within the field. The term NGO applies to many different types of environmental actors such

as labour unions, trade-associations, scientific committees, small coalitions of pollution

victims, and big nonprofit organizations like Greenpeace (Jasanoff, 1997).

Aguilera-Caracuel, Hurtado-Torres, Aragón-Correa & Rugman (2012) used the

environmental sustainability index (ESI) developed in 2005 to measure a country’s

environmental institutional profile and to calculate institutional distance. In 2006 the

environmental performance index (EPI) was developed as a follow up of the ESI (Esty,

Srebotnjak, Kim, Levy, de Serbinin, & Anderson, 2006). Since the EPI provides the full

picture of a country’s environmental institutional profile it will be used to define institutional

distance.

Hypotheses

Many MNEs are violating human rights (Aaronson & Higham, 2013, Huijstee et al., 2012;

Lozano & Prandi, 2005; Ruggie, 2008; Ruggie, 2013). According to Global Exchange, an

international human rights organization, it is difficult to hold MNEs accountable for human

rights violations because of the growing global economy and free trade market. However, as

stated in the Guiding Principles it is necessary for MNEs “to identify, prevent, mitigate and

account for how they address their human rights impacts” (UNHRC, 2011, p. 16). It is the

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23 diligence (UNHRC, 2011). It is because of due diligence that more research is needed tot the

risk factors influencing human rights violations by MNEs.

A possible explanation for human rights violations by MNEs can be high institutional

distance. As mentioned before institutional distance is used to explain the effects of

cross-country differences in institutions on MNEs behavior and performance in the IB literature

(Ando, 2012; North, 1991; Xu & Shenkar, 2002). Different studies already tested the

relationship between high institutional distance and different types of MNE behavior;

entry-modes, environmental performance standardization, subsidiary integration in the transactional

network of the MNE and so on.

According to Ruggie (2008) institutions play an important role in the protection of

human rights. However, institutions differ between countries (Kostova, 1996; Kostova and

Zaheer, 1999; Xu & Shenkar, 2002). It are these differences in institutions between countries,

defined as institutional distance, that cause different types of MNE behavior (Xu & Shenkar,

2002).

This study expects that institutional distance influences human rights violations by

MNEs. The respect for human rights varies across countries and also among MNEs. There are

differences between North-American and European MNEs in the protection of human rights.

European firms are protecting a much wider range of human rights than North-American

companies (Aaronson et al., 2013). A possible reason is that MNEs may feel less responsible

to respect human rights in a host country with a very dissimilar institutional environment then

the home country of the MNE. A similar explanation was used in the study of Campbell,

Eden, and Miller (2012). They stated that cultural distance influences the level of feelings of

empathy towards the host country. When cultural distance is high MNEs empathies less with

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24 reason could be that MNEs are less familiar with the institutional environment of the host

country so they are less able to comply to the rules of the country (Campbell et al., 2012).

Countries also differ in the degree to which they protect human rights. Asian, African,

and South-American countries are much less concerned about human rights violations than

for example European countries (Aaronson & Higham, 2013).

The differences between countries and also the differences between the origin of

MNEs are influencing the degree to which MNEs protect or violate human rights. This is why

this study expects that institutional distance can offer an explanation for human rights

violations by MNEs.

Hypotheses and Research Model Labor Violations

Differences in institutions influence the labor practices of MNEs in host countries.

(Björkman, Fey & Park, 2007; Chowbury & Mahmood, 2012; Edwards & Kuruvila, 2005).

Examples of institutions that influence the labor practices are laws and regulations and labor

unions (Chowdbury & Mahmood, 2012; Freeman, 2007). The right to start or join a labor

union is even a labor human right itself (Ruggie, 2008).

Because differences in laws and regulations and differences in labor unions between

countries, therefore institutional distance, influence labor practices this study expects that it

influences labor human rights violations by MNEs. Differences in labor unions between the

host and the home country of a MNEs is labeled labor unions institutional distance.

Differences in the laws and regulations between the host and home country of a MNE is

labeled laws and regulations institutional distance. Generally speaking it is expected that high

institutional distance leads to labor human rights violations by MNEs.

The following hypotheses were developed:

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25 H2: High laws and regulations institutional distance leads to labor human rights violations by

MNEs.

The research model belonging to these two hypotheses is shown below:

Figure 1

Hypothesis and Research Model Environmental Violations

Environmental practices of MNEs may be highly influenced by the institutional environments

of the different countries where they operate (Caracuel et al., 2012).

Aguilera-Caracuel et al. (2012) even found that institutional distance influenced the level of

environmental performance of a MNEs. High institutional distance influenced MNEs to adopt

opportunistic behavior regarding the natural environment.

In a follow-up study Aguilera-Caracuel et al. (2013) investigated how environmental

institutional distance influences MNEs' decisions regarding environmental performance standardization. The results showed that when formal environmental distance is high MNEs

are more tended to comply with environmental regulations to avoid penalties, sanctions, and

legal costs. However, in the case of high informal environmental distance MNEs did not seem

more tended to comply with environmental regulations (Aguilera-Caracuel et al., 2013).

The studies mentioned above concluded that environmental institutional distance

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26 environmental distance leads to more environmental human rights violations. The following

hypothesis was developed:

H3: High environmental institutional distance leads to environmental human rights violations

by MNEs.

The research model belonging to these hypothesis is shown below:

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27

Methodology

Data

Human Rights Violations

The data that is collected for this research is derived from different databases. First, data

regarding the environmental and labor human right violations will be retrieved/is retrieved

from the database of the CHRD project. This database uses data available from the Business

& Human Rights Resource Centre (BHRRC). The BHRRC collects data regardingalleged

corporate human rights abuses (CAAs). “CAA is an instance in which some group and/or

individual accuses a company of a human rights abuse” (Olsen & Payne, 2013). In this article

corporate human rights violations or CAAs as called in the CHRD project is the dependent

variable. To measure these violations the CAAs that are part of the CHRD database are used.

In the sampleMNEs that have a CAA are coded as 1, while the MNEs that have no CAA are

coded as 0.

The CHRD database is still under construction. At this moment the database only

provides data concerning human rights violations in Africa and South-America. Therefore the

sample used to test the hypotheses only consists of countries located in these two continents.

The CHRD database exists of 715 coded human rights violations by different types of

companies, so MNEs but also local companies, located in Africa or South-America.

The total dataset used in this study exists of MNEs that are accused of violating human

rights but also of MNEs that are not accused of violating human rights. This is why data was

needed of the total amount of MNEs that are operating in a country. This data was retrieved

from the Orbis database. Company specific information such as the home and host country of

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28 The countries that arepart of the sample to test the hypotheses is based on the data that

was available from the CHRD database. The sample that is used to test the hypotheses

relating labor human rights violations consists of MNEs operating in the apparel, clothing,

and textiles industry in four different countries Argentina, South-Africa, Guatemala and the

Dominican Republic. In Argentina 32 MNEs are operating in the apparel, clothing and textiles

industry, in South-Africa 14 MNEs are operating in this industry, in Guatemala 8 MNEs, and

in the Dominican Republic 7 MNEs.

The sample that is used to test the hypothesis regarding the environmental human

rights violations by MNEs consists of MNEs operating in the oil, gas, and coal industry in

Nigeria and Ecuador. These two countries were selected because they seemed to have the best

coverage regarding environmental human rights violations in the CHRD database. A total of

43 MNEs are operating in the oil, gas, and coal industry in Nigeria, and a total of 8 MNEs are

operating in the same industry in Ecuador.

Institutional Distance

The data to measure institutional distance is derived from different databases. Data regarding

labor unions was retrieved from the ILOSTAT database, this is a database that belongs to the

International Labour Organization (ILO). It collects different types of labour statistics;

employment and unemployment rates per country, about the labor population, and also about

labor unions. Labor unions are measured as a percentage of all employees that work in a

country.

Data regarding the rule of law in different countries is derived from the website of the

World Justice Project. This project produced the WJP Rule of Law Index. This index

measures how the rule of law is experienced in 99 countries from all over the world. It uses 47

indicators to compute the index. The 47 indicators are organized around eight themes:

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29 rights, order and security, regulatory enforcement, civil justice, and criminal justice. Labor

human rights belong to the theme about fundamental rights. Included are the right to

collective bargaining, the prohibition of forced and child labor, and the elimination of

discrimination (World Justice Project, 2014. The WJP Rule of Law Index is used to measure

the rule of law distance between countries in this study since it is the most comprehensive

index so far.

Data regarding the environmental institutions in all countries was gathered by using

the Environmental Performance Index (EPI). The EPI “ranks how well countries perform on

high-priority environmental issues in two broad policy areas: protection of human health from

environmental harm and protection of ecosystems” (Hsu, Emerson, Levy, de Sherbinin,

Johnson, Malik, Schwartz, and Jaiteh, 2014). It ranks a total of 178 countries. EPI is

calculated based on 20 indicators divided into 9 categories reflecting national-level

environmental data. The 9 categories are: health impacts, climate and energy, biodiversity and

habitat, air quality, fisheries, forests, agriculture, water resources, and water and sanitation.

The EPI was created by Yale Center for Environmental Law and Policy (YCELP) and the

center for International Earth Science Information Network (CIESIN) at Columbia University

in collaboration with The Samual Family Foundation and the World Economic Forum (Hsu et

al, 2014). Aguilera-Caracuel et al. (2012) also used EPI to calculate environmental

institutional distance, but their research used an older version of EPI.

Dependent Variables

Labor Human Rights Violations

The hypotheses regarding labor human rights violations are tested by using a sample of MNEs

operating in Argentina, South-Africa, Guatemala and the Dominican Republic. These

countries were selected based on the data available in the CHRD database. These countries

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30 All MNEs in the sample are operating in the apparel, clothing, and textiles industry.

The apparel, clothing and textile industry was selected because a lot of labor human rights

violations are taking place in this industry. In Argentina a total of 79 human rights violations

are coded for the apparel, clothing, and textiles industry, 69 of those human rights violations

are labor human rights violations. This implicates that 87.3% of all human rights violations

are labor human rights violations in this country according to the CHRD database. In

South-Africa five cases of human rights violations in the apparel, clothing, and textiles industry are

included in the CHRD database, all 5 are labor human rights violations, 100%. In Guatemala

there are 21 cases of human rights violations, of which 12 cases are labor human rights

violations, so 57,1%. In the Dominican Republic five cases of human rights violations in the

apparel, clothing, and textiles industry are included in the CHRD database, four of them are

labor human rights violations, so 80%.

Data regarding MNEs operating in the different countries is gathered in Orbis and in

the CHRD database. 32 Argentinean MNEs were selected for the initial sample. Three MNEs

were deleted from the sample because in Orbis they were characterized as a MNE however

further investigation showed that they are not MNEs. Therefore the sample used for the data

analysis consists of 29 MNEs operating in Argentina.

In South-Africa 14 MNEs are operating in the Apparel, clothing and textiles industry

according to Orbis. Four MNEs were deleted from the sample for the same reason as

mentioned above. After deleting these ‘MNEs’ the total sample used for the data analysis

consisted of 10 MNEs operating in South Africa.

No MNEs were deleted from the samples of Guatemala and the Dominican Republic.

The total sample of Guatemala consists of 8 MNEs operating in the apparel, clothing and

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31 The total sample used to measure the hypotheses regarding labor human rights

violations consists of 54 MNEs operating in one of the four countries mentioned above. No

data is missing for any of the 54 MNEs. The distribution of the home countries of the MNEs

are as follows: 1 from Belgium, 2 from Brazil, 1 from Canada, 1 from Denmark, 7 from

France, 6 from Germany, 1 from Greece, 1 from India, 4 from Italy, 1 from Mexico, 1 from

the Netherlands, 3 from South-Korea, 2 from Spain, 1 from Sweden, 1 from Turkey, 1 from

the United Kingdom, 19 from the United States and 1 from Uruguay. Of the 54 MNEs in the

sample 35 MNEs, 64,8% did not violate any human rights (Appendix 1).

Environmental Human Rights Violations

The hypothesis regarding environmental human rights violations is tested by using a sample

of MNEs operating in Nigeria and Ecuador. As mentioned before these countries were

selected for having the best coverage of environmental human rights violations. All MNEs in

the sample are operating in the oil, gas and coal industry. The oil, gas and coal industry was

selected because a lot of environmental human right violations are taking place in this

industry.

In Nigeria there are 32 cases of human rights violations, of which 21 cases are

environmental human rights violations, so 65,7% as reported in the CHRD database. In

Ecuador a total of 26 cases of human rights violations took place in the oil, gas, and coal

industry, 9 of them are environmental human rights violations, so 34,6% as reported in the

CHRD database.

A total of 42 MNEs operating in Nigeria are part of the sample. No cases were deleted.

The same applies for the Ecuadorian MNEs, a total of 11 MNEs are part of the sample. The

total sample consists of 53 MNEs operating in Nigeria and Ecuador in the Oil, Gas and Coal

industry. No data was missing. The distribution of the home countries of the MNEs are as

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32 states, 1 in Norway, 4 in the Netherlands, 5 in France, 2 in Japan, 3 in Germany, 5 in Italy, 2

in Canada, 2 in South Korea, 3 in Switzerland, 3 in Spain, 2 in Brazil, 1 in Curaçao, 2 in India

and 1 in Singapore. Of the 53 MNEs in the sample 40 MNEs, 75,5% did not violate any

human rights. appendix 3).

Independent Variables Labor Institutional Distance

To calculate labor unions distance and rule of law distance absolute differences were

computed. The mean labor unions distance is -12,97%. The biggest labor unions difference is

46,60% and the smallest labor unions difference is -30,3%. The WJP Rule of Law Index does

not work with percentages but with scores. the mean rule of law difference is 0,21. The

biggest rule of law difference is 0,35, while the smallest difference is -0,07 (Appendix 2).

Environmental Institutional Distance

Environmental institutional distance is measured by calculating the absolute differences

between the EPI scores of the host and the home countries This method was also used by

Aguilera-Caracuel et al. (2012) and Aguilera-Caracuel et al (2013). The mean EPI distance

measured is 28,73. The lowest distance is -7,97 while the highest EPI distance is 48,47

(Appendix 4).

Control Variable

Firm size is used as a control variable because it is an important determinant of environmental

behavior by companies (Aguilera-Carauel et al., 2012). Firm size seem to have an impact on

corporate social responsibility (Udayasankar, 2007). Human Rights are part of corporate

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33

Results

A binomial logistic regression analysis was used to measure the hypotheses. This method is

used because the independent variable (institutional distance) in the hypotheses does not

predict a linear relationship, it rather predicts the probability of a human rights violation by a

MNE (1) or no human rights violation by a MNE (0)

The only assumption that needs to be checked to perform a binomial logistic

regression analysis is to check for outliers within the independent variables. For the labor

unions institutional distance one outlier is detected. The outlier has a Z-score of 3,87. The

case is not deleted from the sample but its value is decreased to a value of 34,50, the Z-score

is 3,28. For the rule of law institutional distance no outliers are detected, all Z-scores are

between -3,29 and 3,29.

For environmental institutional distance no outliers are detected as well. All cases had

a Z-value between -3,29 and 3,29. So the sample does not include any outliers.

Labor Results

The next step, after the dataset was checked for outliers, is testing the model. The Omnibus

Tests of Model Coefficients gives an indication of how well the model performs. If the value

of the test is significant this means that there is a good model fit. The full model containing all

predictors is statistically significant, χ2 (5, N = 54) = 32,86, p < 0.05, indicating that the model is able to distinguish between MNEs who violated labor human rights and MNEs who did not

violate labor human rights (appendix 5). A more reliable test is the Hosmer-Lemeshow

Goodness of Fit Test. For this test poor fit is indicated if the p-value is smaller than 0,05. For

the research model the test computed a p-value of 0,880, the full model containing all

predictors is statistically significant, χ2 (8, N = 54) = 3.74, p > 0.05. So again the model is tested as being able to distinguish between MNEs who violated labor human rights and MNEs

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34 who did not violate labor human rights. There is a good fit of the research model (Appendix

6).

The Cox & Snell R Square and the Nagelkerke R Square values indicate the amount of

variation in the dependent variable explained by the model. Between 45.6% (Cox & Snell R

Square) and 62.7% (Nagelkerke R Square) of the variability in labor human rights violations

is explained by the model (Appendix 7).

Table 1 shows the individual effects of labor unions distance, rule of law distance and

firm size. It can be concluded that unions distance and firm size have individual effects. The

odds that a MNE violates labor human rights is 1,14 times bigger if the unions distance is

high. Two dummy variables of firm size showed individual significant effects. The

probability that a MNE violates a labor human right is 166.67 times bigger for a medium

sized MNE and 71.43 times bigger for a large MNE than for a small MNE.

Hypothesis 1 is supported, this indicates that when the labor unions institutional

distance between the host country and the home country grows the chance of a MNE violating

labor human rights is bigger. No significant relationship between national laws and

regulations institutional distance and human rights violations by MNEs is found, therefore

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35

Table 1: Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a Unions_Dist -,132 ,052 6,514 1 ,011 ,876 Law_Dist 3,669 5,932 ,383 1 ,536 39,223 Firm_Size 14,058 3 ,003 Firm_Size(1) -,784 1,289 ,370 1 ,543 ,457 Firm_Size(2) -5,185 1,676 9,564 1 ,002 ,006 Firm_Size(3) -4,265 1,494 8,151 1 ,004 ,014 Constant -1,011 1,828 ,306 1 ,580 ,364

a. Variable(s) entered on step 1: Unions_Dist, Law_Dist, Firm_Size.

Environment Results

In this section the results for the environmental human rights violations will be presented. The

Omnibus Tests of Model Coefficients gives an indication of how well the model performs. If

the value of the test is significant this means that there is a good model fit. However for this

research model the p-value computed is 0,158 (Appendix 8). The full model containing all

predictors is statistically not significant, χ2 ( 4, N = 53 ) = 6.62, p > 0.05, indicating that the model is not able to distinguish between MNEs that violated environmental human rights and

MNEs who did not violate environmental human rights.

However a more reliable test is the Hosmer-Lemeshow Goodness of Fit Test. For this

test poor fit is indicated if the p-value is smaller than 0,05. For the research model the test

computed a p-value of 0,169. (Appendix 9). The full model containing all predictors is statistically significant, χ2

( 8, N =53 ) = 11.61, p > 0.05, indicating that the model is able to

distinguish between MNEs that violated environmental human rights and MNEs who did not

violate environmental human rights.

The Cox & Snell R Square and the Nagelkerke R Square values indicate the amount of

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36 Square) and 17,5% (Nagelkerke R Square) of the variability in environmental human rights

violations is explained by the model (Appendix 10). Table 2 shows the individual effects of

environmental institutional distance and firm size. No significant individual effects are

identified.

The environmental institutional distance does not seem to have a significant effect on

human rights violations by MNEs, therefore hypothesis 3 is not supported.

Table 2: Variables in the Equation

B S.E. Wald df Sig. Exp(B)

Step 1a Firm_Size 1,305 3 ,728 Firm_Size(1) -,922 ,819 1,270 1 ,260 ,398 Firm_Size(2) -20,872 14145,203 ,000 1 ,999 ,000 Firm_Size(3) -,468 1,103 ,180 1 ,671 ,626 Env_Dist -,021 ,025 ,730 1 ,393 ,979 Constant ,324 1,070 ,092 1 ,762 1,382

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37

Discussion

The UN Guiding Principles recognize the role of companies in the protection of human rights.

It is no longer the responsibility of just states but also of other actors like MNEs. The Guiding

Principles are the first that have become widely affirmed and endorsed by the UN, OECD and

other inter-governmental, governmental, and nongovernmental stakeholders (Aaronson &

Higham, 2013).They are based on the ‘Protect, Respect, and Remedy’ framework developed

by John Ruggie. Those principles are practical guidelines on how to implement the ‘Protect,

Respect, and Remedy’ framework (UNHRC, 2011).

Still too often MNEs are involved in human rights violations (Aaronson & Higham,

2013; Huijstee et al., 2012; Lozano & Prandi, 2005). This is one of the reasons why this study

investigated the relationship between institutional distance and human rights violations by

MNEs. Moreover the concept of due diligence ask for more understanding about the risk

factors involved in human rights violations by MNEs. This study is the first to test the

relationship between institutional distance and human rights violations by MNEs.

Institutional distance is an important concept within the IB literature. It is defined as

the distance between the host and the home country of a MNE caused by the differences

between institutions (Kostova, 1999). Institutions are defined as “the humanly devised

constraints that structure political, economic and social interaction. They consist of both

informal constraints (sanctions, taboos, customs, traditions, and codes of conduct), and formal

rules (constitutions, laws, property rights)” (North, 1991, p. 97).

MNE behavior is often influenced by institutional distance (Xu & Shenkar, 2002).

Human rights violations can be seen as a type of MNE behavior. The goal of this study was to

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38 No prior research exists that links institutional distance with human rights violations.

Therefore this study makes a contribution by extending the field of IB research by linking the

human rights violations by MNEs with institutional distance.

The results showed that there is a significant relationship between labor unions

distance and human rights violations by MNEs. This implies that when there is a big

difference between the labor unions of the host and the home country of a MNE the amount

of human rights violations increases.

This study does not investigate the direction of the unions distance so no conclusions

can be made if human rights violations by MNEs increase when labor unions in the host

country are weak and strong in the home country or the other way around. Or when the labor

unions are both weak in the home and the host country, or both strong in the home and the

host country, so low institutional distance. Figure 3 depicts the four directions of institutional

distance.

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39 Arguments can be made for both directions in the case of high institutional distance.

On one hand one might expect that human rights violations by MNEs increase when labor

unions in the host country are weak., since there is a lack of defense of the rights of workers

which makes it easier to violate human rights without being held responsible for it.

On the other hand one can expect that there occur more human rights violations by

MNEs in countries where strong labor unions exists because there are many human rights

violations by MNEs and local companies.

This study investigated if there is a relationship between high institutional distance and

human rights violations by the MNE, but as mentioned before it did not investigate the

direction. Future research could investigate in which case human rights violations by MNEs

are more common. Are they more common when labor unions are weak in the host country

and strong in the home country or the other way around? It could also be interesting to

investigate low institutional distance if institutions in the home and the host country are weak

or if they are strong in both countries.

Hypothesis 2 proposed the relationship between high laws and regulations distance

between the host and the home country and human rights violations by MNEs. This study has

found no support for hypothesis 2, there did not seem to be a significant relationship between

high laws and regulations institutional distance and human rights violations by MNEs. This

could be due to the data used.

Law and regulations form an central part of the institutional environment of a country.

Laws and regulations are part of the formal institutional environment within North’s theory

about institutions (North, 1991). Within the theory developed by Scott (1995) rules and

regulations are part of the regulative pillar. So rules and regulations take a central position

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