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1 Reward for climate change management: the role of different incentive schemes for employees within firms Thesis MSc. Business Administration Strategy Track Name: Elice Elfriede Groeneveld Student number: 10203044 Supervisor: Daniel Waeger Date of submission: 23-01-2017 Faculty of Economics and Business, University of Amsterdam

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Reward for climate change management: the role of

different incentive schemes for employees within firms

Thesis MSc. Business Administration – Strategy Track

Name: Elice Elfriede Groeneveld

Student number: 10203044

Supervisor: Daniel Waeger

Date of submission: 23-01-2017

Faculty of Economics and Business, University of Amsterdam

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STATEMENT OF ORIGINALITY

This document is written by Elice Groeneveld who declares to take full responsibility for the

contents of this document.

I declare that the text and the work presented in this document is original and that no sources

other than those mentioned in the text and its references have been used in creating it.

The Faculty of Economics and Business is responsible solely for the supervision of

completion of the work, not for the contents.

3

ABSTRACT

Extensive research exists about the effectiveness of different incentivizing schemes within

organizations. Current literature suggests that giving incentives to employees in a firm can

motivate and stimulate them to work towards certain company goals. However, not much

research exists about awarding employee incentives specifically focused on climate change

management and about the effectiveness of this type of reward. Given the increasing threat of

global warming, firms need to implement sustainability management practices. An important

element of these practices is to reduce CO2 emissions by companies. Therefore, within this

study we investigate if firms that give incentives to employees for climate change

management reach higher CO2 emission savings. Furthermore, we study the effect of

rewarding different types of employees - the CEO, the board of directors and all employees

within the organization - on CO2 emission savings. Additionally, we investigate the effect of

monetary incentives contrary to non-monetary incentives for climate change management. For

this study, data from the Carbon Disclosure Project (CDP) is used about sustainability

practices and climate change management initiatives of companies worldwide. In contrast to

our expectations, we did not find any significant effects of rewarding employees for climate

change management on CO2 emission savings. Also, the results do not show significant

differences between monetary and non-monetary incentives. Due to some important

limitations of our data and study, we believe further research is necessary before drawing

conclusions about the effectiveness of rewarding employees for climate change management.

Key words: climate change management, global warming, sustainability, incentives, CO2

emission savings, CEO, board of directors, all employees, monetary incentives, non-monetary

incentives, CDP

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TABLE OF CONTENTS

ACKNOWLEDGEMTS ........................................................................................................................2

1. INTRODUCTION ..............................................................................................................................5

2. LITERATURE REVIEW ..................................................................................................................9

2.1 STAKEHOLDER APPROACH ..............................................................................................................9

2.2 GLOBALIZATION ............................................................................................................................10

2.3 CARBON FOOTPRINT ......................................................................................................................11

2.4 EMISSION REDUCTION ...................................................................................................................12

2.5 INCENTIVIZING WITHIN ORGANIZATIONS ......................................................................................13

2.6 INCENTIVE TYPES ..........................................................................................................................16

3. THEORETICAL FRAMEWORK..................................................................................................18

3.1 INCENTIVIZING BY COMPANIES .....................................................................................................18

3.2 CEO INCENTIVES............................................................................................................................19

3.3 BOARD INCENTIVES .......................................................................................................................21

3.4 GENERAL WORKFORCE INCENTIVES..............................................................................................22

3.5 MONETARY INCENTIVES ................................................................................................................24

4. METHOD ..........................................................................................................................................26

4.1 SAMPLE AND DATA COLLECTION ..................................................................................................26

4.2 MEASURES .....................................................................................................................................27

4.2.1 INDEPENDENT VARIABLES .........................................................................................................27

4.2.2 DEPENDENT VARIABLE ...............................................................................................................28

4.2.3 MODERATING VARIABLE ............................................................................................................28

4.2.4 CONTROL VARIABLES .................................................................................................................29

4.3 RESULTS ........................................................................................................................................30

5. DISCUSSION....................................................................................................................................38

5.1 ACADEMIC RELEVANCE ................................................................................................................38

5.2 MANAGERIAL IMPLICATIONS ........................................................................................................39

5.3 LIMITATIONS AND FUTURE RESEARCH ..........................................................................................40

6. CONCLUSION ................................................................................................................................42

7. LITERATURE..................................................................................................................................45

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1. INTRODUCTION

Sustainable development is becoming an increasingly popular topic for today’s business

(Cerin & Karlson, 2002). It requires actions from different parties within society, like

corporations, individuals and the government. Governments and firms can meet those

sustainability demands in different ways. Governments translate those demands into policies

and laws, and firms include environmental responsibility in their operations by developing

major environmental corporate strategies (Welford, 1996). Concern over legitimacy and

responsibility towards their stakeholders forces companies to adopt managerial practices that

are expected to bring value to society (Deephouse, 1999; Scott, 1995). Firms benefit from

legitimacy, because socially legitimate companies are more attractive to partners, customers

and employees and are better able to retain them (Buysee & Verbeke, 2003; Henriques &

Sadorsky, 1999; Sharma & Henriques, 2005; Turban & Greening, 1997).

Global warming is a hot topic on our planet and a serious danger for future life on

earth (Lash & Wellington, 2007). Greenhouse gases building up in the atmosphere lead to a

rapidly changing climate on earth. The ten warmest years on record all have occurred since

1980, with 2005 as the warmest year ever recorded. This warming up of the earth leads to

massive ice-melting areas, shrinking glaciers and tropical hurricanes resulting from warm

ocean waters. For instance, the ice sheets of Greenland and Antarctica have been losing mass

over the period 1992 to 2011, with a faster rate in the period of 2002 to 2011 (IPCC, 2014).

Besides, over the period 1901 to 2010, the global mean sea level rose by 0.19 meters. Since

the mid-19th century, the sea level has been rising at a larger rate than the mean rate during the

previous two millennia. Global data shows that disastrous forces of nature like floods,

droughts and other climate-related disasters are growing more severe and more frequent. For

instance, a study by Hirabayashi, Kanae, Emori, Oki and Kimoto (2008) projected significant

differences in floods and droughts between the 20th and the 21th century. In many global

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regions, an increase in the frequency of floods is projected, except for North America and

central and western Eurasia. For the regions such as North and South America, Central and

Southern Africa, the Middle East, Central to Western Australia and Indochina to Southern

China, an increase of the number of drought days is expected. Also, during the present

century, a decline of 10% of rainfall is expected in Ethiopia, where droughts are already a

common problem (IPCC, 2007). CO2 emissions from companies heavily contribute to the

increase of global warming; particularly large, international firms could have a big impact

(McKinnon, 2007). Therefore, CO2 reduction should be an important point in the agenda of

companies worldwide.

In today’s society, the potential threat of global warming to our ecosystem is

recognized and climate change is accepted as a necessary practice (Boiral, 2006). This has

made the pursuit of CO2 reductions a major priority for many governments and companies

(McKinnon, 2007). CO2 emission reductions are namely seen as the key component for

achieving more sustainability (CDP, 2014). Companies worldwide have experienced

increasing pressure to reduce their emission of greenhouse gasses (Boiral, 2006). Managers

need to make decisions concerning sustainable management and could better choose a

proactive than a wait-and-see approach. Employees within organizations could be an essential

source towards more sustainability, as their actions and decisions could determine an increase

or a decrease in CO2 emissions. By contributing to the reduction of CO2 emissions, firms will

become part of the solution rather than only part of the problem of worldwide global warming

(Boiral, 2006).

Different attempts have to be made by businesses to meet the environmental

requirements our society is facing nowadays. An important implication is that all stakeholders

must recognize the negative economic and social consequences of poor environmental

performance (Berrone & Gomez-Mejia, 2009a). Argyris (1998) states that empowerment of

7

employees is essential for reaching organizational goals of environmental responsibility. It

will motivate and commit them to participate and engage in good environmental practices.

Incentives can serve as a reinforcement to continuously motivate employees and increase their

commitment to being environmentally responsible (Herzberg, 1966). Berrone and Gomez-

Mejia (2009a) emphasize the threefold benefits of structuring executive pay around

environmental performance: managers receive extra salary, shareholders see their firm

survival secured, and society is protected against harm. In a study of Denton (1999), evidence

came up that even if a company was strongly encouraging environmental improvement,

incentives such as bonuses, salaries or other types of incentives were rarely tied to

environmental performance. Supervisors in firms believe that additional incentives should be

given to employees in order to give them the additional responsibility of engaging in

environmental improvement efforts (Forman & Jorgensen, 2001). Nowadays, several big

firms are incentivizing their employees for climate change management, so does the greater

part of the firms within our study sample.

Berrone and Gomez-Mejia (2009a) argue that firms incentivize their CEOs for good

environmental performance, while they operate in environmental polluting sectors. In this

case, environmental performance is included as a criterion in incentive schemes for chief

executives. Incentives for adopting strategies that enhance environmental wellbeing could be

used to motivate CEOs, with the objective of improving environmental performance (Berrone

& Gomez-Mejia, 2009a). Rewarding those who exhibit good environmental performance is

important, because incentives ensure that CEOs take more risks in engaging in environmental

actions from which the outcome is uncertain (Bloom & Milkovich, 1998; Hart, 1995). It is

interesting to also look at other employee types that receive incentives within an organization

besides the CEO-level. Govindarajulu and Daily (2004) for example, argue that it is important

to actively involve employees at all levels of the organization in environmental performance

8

targets. When all employees feel empowered to reach environmental goals, this contributes to

a so-called ‘participative culture’ and might significantly enhance a company’s chance for

superior environmental performance. This could mean that not only the CEO, but all

employees should be rewarded when they actively pursue good environmental behavior.

Therefore, it is important to analyze who exactly is rewarded for good environmental

behavior in a firm. The type of employee that is rewarded for good environmental behavior

differs per company (Nieland, Kangos, Fixel, Baczewski & Pechenik, 2013). The different

types of employees that are studied within this research are the CEO, the board of directors

and all employees within the organization.

Besides rewarding different types of employees within an organization, also different

types of incentives are distinguished (Atwater & Bass, 1994; Laabs, 1992; Leitch et al., 1995;

Marks, 2001; Patton & Daley, 1998). Within this research, a distinction is made between

monetary and non-monetary incentivizing, where non-monetary incentives mainly include

recognition as incentive. Disagreement between scholars exists about which way of

incentivizing for environmental goals is most effective. Whereas monetary incentives seem

one of the strongest motivators for employees to engage in good environmental activities,

some employees are more sensitive to recognition and praise (Govindarajulu & Daily, 2004).

Some companies stimulate environmental performance through non-monetary rewards. An

example is Dow Chemical, which motivates its employees by awarding plaques to those who

come up with the most innovative ideas to reduce waste (Denton, 1999). According to the

information that incentives are used to motivate employees to assume a more environmentally

responsible behavior, it is interesting to investigate if and how incentives could lead to lower

CO2 emissions on a cross-country and cross-industry level. Therefore, the following research

question can be set up:

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RQ: What role do incentive systems and incentive types focused on climate change

management play in achieving more sustainability for companies in terms of CO2 emission

savings?

This thesis will contribute to both theory and practice. Given the growing importance

of sustainable behavior and environment protection, businesses should find ways to make

themselves more green (CDP, 2014) . When the effects on CO2 reduction of different ways of

incentivizing within an organization become clear, companies could deploy more effective

strategies to reach their sustainability goals and adjust or reject existing incentives schemes

that seem to be inefficient. Besides this practical contribution, this thesis also makes a

contribution to theory since hardly any research exists about the relationship between CO2

emission reduction and different ways of organizational incentivizing. First, an introduction to

the existing literature will be given in the literature review. Afterwards, hypotheses will be

formulated in the theoretical framework and the research design for this study will be

explained. Finally, results will be presented and discussed.

2. LITERATURE REVIEW

2.1 Stakeholder approach

Stakeholders are defined by Freeman (1984) as “groups or individuals who can affect

or are affected by the achievement of the firm’s objectives” (p. 25). The stakeholder approach

can be directly linked to Corporate Social Responsibility (CSR), as it describes the entities

whose welfare a company is, at least partially, responsible for (Carroll, 1991). CSR implies

that the firm chooses to engage in activities beyond the interest of the company itself or

beyond what is required by law, to improve the wellbeing of stakeholders (McWilliams,

Siegel & Wright, 2006). Thereby a distinction can be made between primary and secondary

stakeholders, whereas the former include entities such as employees, customers and suppliers

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which are key to the organization, and the latter type is not directly involved with

organizational transactions (Carrol, 1991). According to Friedman’s (1970) well-known and

classical view of the firm “there is one and only one social responsibility of business - to use

its resources and engage in activities designed to increase its profits”. Nowadays, many

scholars and practitioners argue that this classical economic objective of maximizing

‘shareholder’s welfare’ is incomplete (Berrone & Gomez‐Mejia, 2009b). Firms have to deal

with many different kinds of stakeholders with different interests and goals. Since the 21st

century, sustainability has become increasingly important among businesses (Dyllick &

Hockerts, 2002). The general promise is that while doing business, companies should preserve

the natural environment for future generations. Hereby it is important to mention that both

needs of current and future stakeholders must be taken into account. The so-called ‘triple

bottom line’ plays an important role and consists of environmental, social and economic

aspects which must be considered by a firm. Gladwin, Kennelly and Krause (1995a) state that

economic performance alone can succeed in the short run, but in the long run all three

dimensions must be considered simultaneously.

2.2 Globalization

Besides the stakeholder approach as an argument for why businesses should take

environmental issues into account, the phenomenon of globalization also plays an important

role. Scherer and Palazzo (2008) define globalization as “the process of intensification of

cross-area and cross-border social relations between actors from very distant locations, and of

growing transnational interdependence of economic and social activities” (p. 3). Across the

world, big differences in law and regulation exist between governments, which has its effect

on companies’ operations (Stone, 1975). This means that in some countries, firms have much

more regulatory freedom to operate in a way that is most beneficial for them. When the legal

system is imperfect or legal rules are incomplete in a country, an appeal is made to big and

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influential entities such as businesses and their social responsibilities. Companies are asked to

comply with the law or to even go beyond the requirements of the law, by starting to operate

in a more sustainable way. This has to be realized by managers who have prosocial intentions

and an aspiration to contribute to the common good (Stone, 1975).

Nowadays, firms are viewed not only as the polluters of the environment, but also as a

possible solution to the problems of imperfect global regulation and deteriorating public good

(e.g., Margolis & Walsh, 2003; Matten & Crane, 2005). They could be the key to a more

sustainable world, since in some countries the government lacks the ability to effectively

manage the environment. Today we have to deal with issues that are going beyond the borders

of one country, which gives firms an additional political responsibility to contribute to the

development and proper working of global governance (Scherer & Palazzo, 2008).

2.3 Carbon footprint

With the threat of a changing climate on our globe, the carbon footprint is becoming

an increasingly popular subject (Wiedmann & Minx, 2007). Although the exact definition of

carbon footprint is disputable, the carbon footprint is an indicator of the amount of gaseous

emissions which can affect the climate and are caused by human production or consumption.

Wiedmann and Minx (2007) choose to only include CO2 emissions within their definition,

since many of other potential greenhouse gases are not based on carbon or are more difficult

to collect data about. In addition, CO2 is one of the major greenhouse gases (Worrell, Price,

Martin, Hendriks & Meida, 2001). Therefore, also in this study, the amount of CO2 emissions

of firms is used as indicator of a company’s sustainability.

Big investors are starting to demand more disclosure from firms concerning their

carbon footprint and CO2 emissions (Lash & Wellington, 2007). The Carbon Disclosure

Project (CDP), for example, is a large coalition of institutional investors representing more

than $31 trillion in assets, which inquires information from large multinational companies

12

about their climate risk positioning. The fourth annual Carbon Action Report of the CDP it is

stated that both the number of reported projects and quantity of emission reductions have

stagnated in 2014 (CDP, 2014). The CDP argues that it is important that companies disclose

their emission information and that setting emission reduction targets is crucial for energy

management in businesses. Given the importance of addressing climate change and the

benefits of emission reduction activities, the CDP emphasizes that companies, especially in

heavy emitting industries, need to do more to meet their climate policy targets (Nieland et. al.,

2013). The CDP has data about the amount of CO2 emissions in metric tonnes that a company

has emitted in one year. Within this research, this number of CO2 emissions will be used as

an indicator to measure a company’s environmental responsibility.

2.4 Emission reduction

Companies can reduce their CO2 emissions by means of (1) control or (2) prevention

(Frosch & Gallopoulos, 1989; Cairncross, 1991). In case of control, expensive, non-

productive pollution control equipment is used to achieve compliance with regulations. In

case of prevention, pollution is prevented during the manufacturing process itself through, for

instance, better housekeeping, material substitution, recycling or process innovation.

Prevention is better than cure, because pollution is seen as an inefficiency within

manufacturing processes and waste is a non-recoverable cost (Shrivastava & Hart, 1992).

Pollution prevention may increase productivity and efficiency, because it leads to lower raw

material costs as inputs are used more efficiently. Also compliance and liability costs will be

reduced when a company cuts its emissions well below the levels required by law (Young,

1991; Schmidheiny, 1992). Providing incentives to the entities within the organization that

actively pursue CO2 emission reduction goals can be seen as a preventive method (e.g.,

Coombs & Gilley, 2005). Through incentives, employees can be motivated to find ways to

reduce environmental pollution. Berrone and Gomez-Mejia (2009a) found that firms would

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rather reward employees pursuing pollution prevention strategies than employees who adopt

so called ‘end-of-pipe strategies’, which can be understood as pollution control.

During the last two decades, together with rising concerns about climate change,

different scholars have argued that enhancing a firm’s environmental performance doesn’t

necessary lead to higher costs, but can also lead to better economic performance (e.g., Porter

& van der Linde, 1995a). Hart and Ahuja (1996) proved that companies can benefit from

being green, although it takes a few years of efforts to reach this gain. King and Lenox (2001)

found a positive relation between financial gain and pollution reduction in their longitudinal

research, although they don’t know the direction of this effect. Also Clarkson, Richardson and

Vasvari (2011) found that firms that actively improve their environmental performance over

time, also see improvements in their financial resources. In their study, Barnett and Salomon

(2010) found a U-shaped relationship between a firm’s corporate social performance and

corporate financial performance. This means that when companies start investing in social

activities, their financial return will be low in the beginning. As soon as they accrue the so-

called ‘stakeholder influence capacity’, their ability to transform social investment into

financial returns will be improved. This indicates that it takes time for firms to gain profits

through socially responsible activities. Considering all those findings about whether a firm

can profit from green behavior, the long-term importance for companies to act green can be

underlined. Companies can benefit from engaging in environmentally responsible behavior

and at the same time this will contribute to a more sustainable society. Therefore, it is

important to investigate effective methods to stimulate this responsible behavior within

companies. One effective method could be the establishment of an incentive system

(Govindarajulu & Daily, 2004), which will be discussed in the next section.

2.5 Incentivizing within organizations

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Companies are concerned about how green objectives can best be implemented within

large and complex organizational planning, management and control (Gabel & Sinclair-

Desgagné, 1993). In reaction to the sustainability concerns mentioned in the previous

sections, firms are increasingly adopting environmental management practices (Gottlieb,

1995; Porter & van der Linde, 1995b). An example of these environmental management

practices are employee incentive programs, which are meant to motivate employees to reach

certain company goals. Incentives affect behavior in certain ways because of their influence

on three factors: ‘cognitive exertion’, i.e. the incentive affects the amount of thinking a person

puts into a task; ‘motivational focus’, i.e. the incentive changes the goals an employee has in

mind; and ‘emotional triggers’, i.e. the incentive serves as a prerequisite for the agent to

predict or emit their own response (Read, 2005). Due to these factors, people are likely to be

influenced by incentives.

Some literature indicates that reward could motivate and reinforce employees to act in

environmentally responsible ways (Laabs, 1992; Patton & Daley, 1998). By using such

incentives, companies can show their commitment to environmental performance (Lent &

Wells, 1994). If companies care about environmental responsibility, they should align

performance evaluation systems with managerial systems in terms of their corporate

environmental objectives (Epstein & Roy, 1997). Govindarajulu and Daily (2004) recommend

that top management should implement environmental management systems within the

organization and communicate the importance of employee motivation in environmental

improvement. Thereby, it is important that employees at all levels within the organization are

actively involved in chasing environmental improvement goals. Since executives may

experience some feelings of risk for failing when they choose to implement new, more

sustainable technologies to reduce emissions, it might be helpful to give them extra rewards

when they take these risks (Klassen & Whybark, 1999; Russo & Fouts, 1997). In this way,

15

they are rewarded for the fact that they dare to take risky decisions which may enhance the

environmental performance of the company. Otherwise, the risk exists that an employee

chooses the ‘safe way’ by not engaging in new, more sustainable practices, because the

employee fears to make unsuccessful decisions.

Although much research exists about executive compensation, little has been written

about the link between managerial pay and social/environmental issues (Berrone & Gomez‐

Mejia, 2009b). Berrone and Gomez-Mejia (2009a) mention some organizational advantages

of structuring executive pay for managers around environmental performance. First, managers

will be stimulated to build legitimacy, which is a valuable resource to the firms’ survival and

success. Second, it holds managers clearly accountable for the environmental behavior of the

company. And lastly, managers can be encouraged to monitor environmentally responsible

behavior at lower levels within the organization. According to Berrone and Gomex-Meija

(2009a), executives are less likely to engage in socially responsible practices, if they are not

appropriately incentivized for it.

Also on the level of the board of directors, some interesting statements could be made

regarding incentives as stimulators of certain behavior. Roberts, McNulty and Stiles (2005)

state that the effectiveness of the board is dependent on behavioral dynamics of the board.

Multiple scholars argue that many non-executive directors are too passive and even neglectful

in the constitution of management decisions (Johnson, Daily & Ellstrand, 1996; Tosi, Shen &

Gentry, 2003; Westphal & Khanna, 2003). Board members have very little stock ownership in

companies, which makes their personal wealth less dependent on the performance of the

company they oversee (Hambrick & Jackson, 2000; Patton & Baker, 1987). However, they

are responsible for creating a clear and successful strategy to protect shareholders’ interests.

According to Shen (2005) the ultimate solution would be to involve board members more in

business practices by giving them strong incentives to perform their duties. This is applicable

16

to the current research, concerning the involvement of board members in the creation of

awareness for environmental pollution by CO2 emissions.

Proof exists that there are differences in outcomes of rewarding different types of

employees within the organization. For instance, Russo and Harrison (2005) found weak

support for the assumption that certain incentive systems can lead to more environmentally

responsible behavior, but they found a difference between manager types. Environmental

performance is enhanced when it is linked to monetary incentives for facility managers, but

this relationship does not apply to environmental quality managers. Shen (2005) looks at the

distribution of rewards from an agency perspective, and states that both non-executive

directors and executives within a company are the so-called ‘agents’ of the ‘principals’, which

are the shareholders. He argues that if one group of agents is provided with incentives, the

other group of agents should also receive them.

2.6 Incentive types

Besides incentivizing different types of employees, also different types of incentives

can be distinguished. Clark and Wilson (1961) place different incentive types in 3 broad

categories; material incentives, solidary incentives and purposive incentives. Material

incentives are the tangible rewards that have a monetary value or can be translated into

monetary value. They encompass money in the form of salary and wage and all other tangible

benefits obtained by labor. The second incentive type is solidary incentives, which are

intangible and have no monetary value. The main characteristic is that this type of incentive is

separated from the precise outcome of the action. Solidary incentives include, for example,

rewards as status, fun and conviviality and maintenance of social distinctions. The third

incentive type categorized by Clark and Wilson (1961) is purposive incentives. These

incentives are also intangible, but they derive from the outcome of the action rather than, like

solidary incentives, from the simple action itself. This type of incentives is related to the

17

greater whole of firm goals, and does not benefit members personally. An example is the

inducement for eliminating corruption.

Although these both tangible and intangible incentives are used to stimulate

employees, money seems to be the main motivator within firms (Clark & Wilson, 1961). Also

Govindarajulu and Daily (2004) recognize monetary incentives are one of the strongest

motivators for employees. While companies are probably providing additional incentives

besides money, few would work for it if no money at all were paid (Clark & Wilson, 1961).

Parker and Wright (2001) state that, for employees to be committed to the organization they

work for, satisfaction with incentive systems is important. The higher the satisfaction, the

higher the commitment. To make sure employees feel committed to achieving a firms’ goals,

a company must motivate its employees with the right incentives. For instance, Lawler (1973)

found that monetary rewards significantly affect job satisfaction and work motivation. On the

other hand, there is also evidence that employees are not motivated only by money all the

time (Govindarajulu & Daily, 2004). Non-monetary rewards like paid vacations, time off and

gift certificates could also be effective in motivating employees (Bragg, 2000; Geller, 1991).

Some employees seem to be more sensitive to for example recognition and praise, evidenced

by a study which indicates that employees would do their best if their work was recognized

(Jeffries, 1997). However, money seems to be better able to directly influence behavior than

non-monetary stimulators (Parker & Wright, 2001). For example, in their research, Balkon,

Malkman and Gomez-Meija (2000) examined a relationship between pay and innovative

behavior. CEO short-term monetary compensation is related to innovation, which means that

when CEOs receive more money, they pursue innovation more actively. Since being more

sustainable by reducing CO2 emissions could be compared to being more innovative (Theyel,

2000), it could be assumed that also a positive relationship exists between monetary

18

incentives for CEOs and higher CO2 savings. For a company to become more sustainable, for

instance, innovative actions are required.

3. THEORETICAL FRAMEWORK

3.1 Incentivizing by companies

As discussed in the literature review, some proof exists that incentivizing could ensure

that employees become motivated and reinforced to make environmentally responsible

decisions (Laabs, 1992; Patton & Daley, 1998). The use of incentives could determine how

employees in an organization behave (Baker, Jensen & Murphy, 1988). The challenge for

firms lies in stimulating employees and managers in such a way that they make

environmentally responsible decisions instead of being opportunistic (Fandt & Ferris, 1990).

As employees are the actors within an organization that take decisions, they could be the

essential link towards reducing CO2 emissions (Boiral, 2006). According to Porter and

Lawler (1968), traditional expectancy theories indicate that employees act to obtain

incentives. When their job is to take climate change management within their daily practices,

they are expected to act to it, because they will be rewarded for their specific job.

Consequently, when climate change management is taken seriously by employees and when

sustainability is actively pursued, lower amounts of CO2 emissions could be a logical result.

Although much literature exists about rewarding employees, not many researchers studied the

use of incentives specifically for climate change management. Within this research, the focus

is on incentives specifically based on proactive climate change management. CDP asked

companies if they give incentives for climate change management to employees. This means

that an employee in a company receives incentives if he or she strongly considers climate

change management within their decision making. This study investigated whether giving

incentives specifically for managing climate change leads to becoming a more sustainable

19

company, in terms of less CO2 emissions. Since worldwide CO2 emission reduction is a big

issue large enterprises need to deal with (Newell & Paterson, 1998), emission savings would

be the ultimate expression of better environmental behavior. Combining the findings

mentioned above, we expect a positive effect of rewarding employees specifically for climate

change management on CO2 emission reduction:

H1: Companies that give incentives to employees for actively engaging in climate change

management will reach higher CO2 emission savings than companies that do not give

incentives to employees for climate change management.

In many studies, the level of analysis concerning organizational incentives is at the top

level of the company (Berrony & Gomez-Meija, 2009a). In the present study, the focus is on

different employee types that are incentivized, in order to investigate the effect of rewarding

different kinds of employees within the company for climate change management on CO2

emission savings. According, to the CDP data that we used, some companies give incentives

to the CEO, others to the board of directors and some are giving incentives to all employees

within an organization. Therefore, it is interesting to look at the outcomes of these different

incentive schemes on CO2 emission savings. We investigate whether giving incentives to a

certain employee type is actually effective to reach more sustainability, so we can come up

with an advice for firms to continue with the current incentive system or to adjust it. We

investigate the effects of incentivizing the CEO, the board of directors and all employees in

the organization on CO2 emission reduction.

3.2 CEO incentives

According to agency theorists, CEOs consider it important to engage in activities that

increase their own well-being (Jensen & Murphy, 1990). If the success of certain business

initiatives is linked to their own gains, CEOs might be motivated to engage in these business

initiatives. According to King and Lenox (2002) and Klassen and McLaughlin (1996), firms

20

in polluting sectors should motivate their CEOs to engage in strategies aimed at improving

environmental performance. The challenge for firms is to use incentives in such a way that it

influences the behavior of the CEO, whose aim is maximizing his or her personal utility

(Zajac, 1990). Often, especially top managers feel a certain risk when they are implementing

new, more sustainable technologies to reduce or eliminate emissions, because those

implementation initiatives may fail or lead to quality problems or costs (Klassen & Whybark,

1999; Russo & Fouts, 1997). It is the top manager who will be held responsible for these

consequences. If the top managers are rewarded specifically for making these kind of

environmentally responsible choices, they might be willing to take the risks more easily.

Many researchers acknowledge the relationship between the strategy that a firms

pursues and the compensation packages it uses (Barkema & Gomez-Mejia, 1998). In addition,

the strategic importance of the CEO in large organizations is widely recognized (Lorange,

1980). An interesting topic is how the constitution of a CEO’s compensation package can

support the implementation of a certain strategy and stimulate making strategic environmental

management choices. For example, Sanders and Carpenter (1998) found that companies

pursuing a global diversification strategy use efficient CEO compensation methods that

support and fit the implementation of that strategy. If the firm adopts an emission reduction

strategy, pursuing this strategy can be supported by certain incentivizing methods which

motivate the CEO to become committed to this business strategy. Given the magnitude of the

CEO's potential impact on firm performance (Beatty & Zajac, 1987), it is important that firms

find effective methods to motivate the CEO to act in a way that maximizes firm performance.

According to Makri, Lane and Gomez-Meija (2006), firms seem to perform better when

incentives for CEOs are linked to the financial results of the company as a whole. With this

outcome, one can expect that CEOs are motivated to perform better when they receive extra

incentives for certain behaviors. If CEOs are motivated to engage in climate change

21

management, this will have a direct effect on business practice given the influence CEOs have

on firm strategy. This strategy may include emission reduction practices of the company.

Following the findings mentioned above, we formulated the next hypothesis:

H2a: Companies that incentivize their CEOs for actively engaging in climate change

management will reach higher CO2 emission savings than companies that do not give those

incentives to their CEOs.

3.3 Board incentives

Executives careers are directly tied to the success or failure of the company they work

for (Carter & Lorsch, 2004). Their performance is evaluated by the board of directors, while

on the other hand, the individual performance of board members is not directly evaluated in

most of the companies. It may be important to also monitor performance of board members

because corporate control may lie in hands of individuals or small groups, such as boards

(Finkelstein & Hambrick, 1996). This implies that board members could play an important

role in their companies’ decision making. However, board members often experience social

costs when they threaten the interests of top managers in a company, for example by

participating in management decisions or enforcing changes in business operations that

increase board control over management (Westphal & Khanna, 2003). Therefore, board

members may sometimes experience social pressures and must weigh the social cost against

their own benefits. These pressures could influence board members’ personal motivation and

stimulation. This requires a thoughtful approach towards board members concerning reward,

and implies that they should be actively motivated and involved in the pursuit of important

business strategies, like climate change management. Furthermore, it is the board of directors

that oversees the company and determines which top managers are hired (Shen, 2005; Zajac,

1990). If board members are incentivized for engaging in climate change management, they

may rather choose to hire managers that take an environmentally responsible approach.

22

Lorsch and Maclver (1989) mention that non-executive directors are not always able

to invest time to learn enough about the company they oversee, since sometimes they are

operating in the board of other companies as well. A solution to these problems would be to

provide incentives to board members so that they become more committed to their company

duties (Shen, 2005). Without strong incentives, non-executives such as the board of directors

are less likely to become engaged in corporate duties. One of those duties that is important in

a company nowadays is the management of sustainability or climate change. As board

members play an important role in the formulation of a company’s strategy (Shen, 2005), they

should be actively motivated for and involved in the management of CO2 emission reduction

in order for a firm to reach sustainability goals. Companies that reward their board members

for climate change management, are involving them more in reaching environmental

management goals. We expect that if board members are receiving incentives for climate

change management, the company will engage in more environmentally responsible decision

making, which would lead to a more sustainable company in terms of CO2 emission

reduction. Therefore, the following hypotheses is formulated:

H3a: Companies that incentivize the board of directors for actively engaging in climate

change management reach higher CO2 emission savings than companies that do not give

those incentives to the board of directors.

3.4 General workforce incentives

Govindarajulu and Daily (2004) recommend to actively involve employees at all

levels within the organization in fulfilling environmental improvement goals. In this way, the

organization could reach its sustainability goals most effectively. Shen (2005) looks at the

distribution of rewards from an agency perspective, and states that both non-executive

directors and executives within a company are the so called ‘agents’ of the ‘principals’, which

are the shareholders. He argues that if one group of the agents is rewarded with incentives,

23

also the other group of agents should receive them. To make sure employees stay committed

to company goals and to the organization itself, every working person in the company should

be satisfied with its incentive package (Parker and Wright, 2001). When some part of the

workforce is incentivized and others know they are not, this could create a sense of inequality.

Employees do have certain psychological contracts in mind which refer to their perceptions of

reciprocal obligations (Hartley, 1999; Robinson, 1996; Rousseau, 1989; Shore & Tetrick,

1994). When these obligations are unfairly distributed or differ too much within one

company, this may lead to disharmony. In addition, managers should observe what rewards

motivate employees and customize incentive schemes to suit every employee in the right way

(Barrier, 1996; Geller, 1991).

According to the population ecology view, organizations that stimulate collective

action and let its employees work towards a common goal, are more likely to survive

(Freeman & Hannan, 1990; Hannan & Freeman, 1989). Welbourne and Andrews (1996) state

that collective action signifies the existence of structural cohesion, which is an employee-

generated synergy enabling firms to respond to their environment while still moving forward.

To encourage this collective action, incentives can help to link all employees to the

organization and its mission and can reduce competition within the firm (Lawler, 1981;

Welbourne & Gomez-Mejia, 1995). Frequent communication of environmental programs,

initiatives, and goals of the firm could be supported and strengthened by using incentives, so

employees are motivated to work towards accomplishing these goals (Govindarajulu & Daily,

2004). In this way, everyone in the organization has the same objectives in mind so goals will

be achieved faster and more easily. Top management that is actively improving environmental

responsibility within an organization should strive for a culture that provides all its employees

with the freedom to make environmental improvements (Mallak & Kurstedt, 1996).

24

Following the findings mentioned above, we expect that incentivizing all employees within

the organization for climate change management, will lead to CO2 emission savings.

H4a: Companies that give incentives to all employees in the organization for actively

engaging in climate change management will reach higher CO2 emission savings than

companies that do not incentivize everyone in the organization.

3.5 Monetary incentives

Returning to the strategic perspective on compensation design, a focus exists on the

role that incentive systems can play in helping companies to adapt to the characteristics of the

environment they are operating in (Gomez-Mejia & Balkin, 1992). Incentives can be

implemented in various forms such as monetary rewards and recognition rewards. Examples

of systems that can be used to reward employees for good environmental practices are profit-

sharing programs, award and recognition programs, suggestion programs, benefits and

incentives and increase in pay (Atwater & Bass, 1994; Laabs, 1992; Leitch et al., 1995; Patton

& Daley, 1998). Out of these, monetary rewards are one of the strongest motivators for

employees to engage in activities for environmental improvement (Govindarajulu & Daily,

2004).

Several reasons could be given for why people are attracted by the thought of

receiving extra money (Long & Shields, 2010). First, monetary incentives enable employees

to enhance their own wellbeing and the wellbeing of their families. Second, money enables

people to engage more in social leisure activities, which helps satisfying their higher-level

need of the sense of belonging in groups. Third, monetary rewards provide people with the

opportunity to purchase status symbols, which satisfies the need for respect from others.

Fourth, the higher-level need to achieve mastery can be satisfied by engaging in costly

trainings, development or higher education. Finally, money itself is often valued as a symbol

25

of one’s social status (Saleh & Singh, 1973) and monetary incentives are perceives as a

recognition for doing a good job (Trank, Rynes, & Bretz, 2002).

As mentioned in the literature, monetary incentives seem to significantly affect work

motivation (Lawler, 1973). Locke, Feren, McCaleb, Shaw, and Denny (1980) found that when

an employee receives individual monetary rewards, his or her productivity increases up to

30%. Other types of incentive systems do not seem to have such a powerful effect as

monetary incentives do (Locke et al., 1980; Stajkovic & Luthans, 2001). This indicates that

people view money as a powerful stimulator. Firms that provide higher monetary

compensation and tie money to individual performance significantly have higher levels of

return on assets (Brown, Sturman, & Simmering, 2003). A logical link could be made to

achieving higher levels of environmental performance, when the firm deliberately awards

incentives linked to sustainability enhancing decision making. If employees within an

organization are incentivized for managing climate change and if these incentives are

monetary rewards, we expect this will have a positive effect on CO2 emission reduction.

H2b: Giving monetary incentives for climate change management will positively moderate the

relationship between giving incentives for climate change management to the CEO and CO2

emission savings.

H3b: Giving monetary incentives for climate change management will positively moderate the

relationship between giving incentives for climate change management to the board of

directors and CO2 emission savings.

H4b: Giving monetary incentives for climate change management will positively moderate the

relationship between giving incentives for climate change management to all employees in the

organization and CO2 emission savings.

26

Figure 1. Theoretical framework

4. METHOD AND STATISTICAL RESULTS

In the following section the research design and methods are described. First, a description

of the sample and the data collection is given. Second, the different kinds of variables used in

the statistical analyses are explained. Following on this section, the results of this research

will be presented.

4.1. Sample and data collection

The method used for this research is database analysis where, on the basis of the

collected data, statistical analysis in SPSS will be carried out. For this study, data from the

Carbon Disclosure Project (CDP) is used. Besides, for some of the control variables, the

database Datastream is used. CDP has collected extensive annual information related to climate

change management and sustainability practices from companies worldwide. As stated on their

27

website: “CDP is the only global disclosure system for companies, cities, states and regions to

manage their environmental impacts and for investors or purchasers to access environmental

information for use in financial decisions” (CDP, 2016). For about 15 years, CDP has been

working together with companies to take initiatives and actions towards a more sustainable

world. CDP argues than when companies are aware of their environmental risk, they will be

better able to manage it in a strategic way. When companies disclose this information, decision

makers are provided with reliable data which is important to drive sustainable action (CDP,

2016). CDP has collected data from about 3000 different companies worldwide, where data is

obtained from headquarters. Different questionnaires are filled in by these companies, revealing

information about their sustainability initiatives and practices and CO2 emissions. The CDP

data we used for this study contains information about what type of employees in a company is

rewarded for actively engaging in climate change management, what type of incentives

companies use to do this and how much CO2 is emitted in 2013 and 2014.

The data we got at our disposal for this study is data from the years 2013 and 2014.

For the independent variables, the control variables and the moderating variable we used data

from 2013, and for the dependent variable we also used data from 2014, to measure the

percentage change in CO2 emissions between 2013 and 2014. Useful variables for this

research are selected out of this data and coded into usable formats for the analysis in this

study. More about this will follow in the next sections.

4.2. Measures

4.2.1 Independent variables

Within this study, three independent variables exist which include the different

organizational employee types or groups that are incentivized for climate change management.

For this study, we focused on the employee types or groups that are most commonly rewarded

for climate change management in the CDP dataset of firms, which are the CEO, the board of

28

directors and all employees in the organization. For every employee type or group, the question

was asked if this group or person within the organization receives incentives when he or she

actively engages in climate change management, yes or no. In this way, three dummy variables

are created where 1 means ‘yes’ and 0 means ‘no’.

4.2.2 Dependent variable

The dependent variable within this research is CO2 emission savings of a company.

To construct this variable, a company’s amount of CO2 emissions in metric tonnes in 2014 is

compared to the amount of CO2 emissions in metric tonnes in 2013, in terms of the

percentage change. In this way, something can be said about the improvement or the

deterioration concerning the amount of CO2 a company emits in a year. This dependent

variable will be used as an indicator of how environmentally responsible a company is. By

calculating relative differences in CO2 emissions per company, reliable comparisons between

firms could be made. Due to available data about CO2 emissions for both the years 2013 and

2014, the difference between two years could be calculated. The percentage of change

between these two years is computed with the following formula: 2014 – 2013 / 2013 * 100,

where at the place of 2013 and 2014 the absolute number of emitted CO2 by the company of

these years is filled in. If the outcome turns out to be negative, this indicates that the company

emitted less CO2 in 2014 than in 2013 and CO2 emission savings take place. If it is a positive

number, it suggests an increase of CO2 emissions in 2014 compared to 2013. The effect of all

three independent variables on the dependent variable will be separately tested by hierarchical

regression, controlling for control variables.

4.2.3 Moderating variable

Besides information about if a certain employee type is rewarded within a company,

we also have data about which specific incentive type a company generally uses to reward

employees for climate change management. The incentive type we focus on is monetary

29

incentives. For every company that gives rewards for climate change management, the

question was asked if they give monetary incentives, yes or no. For the moderating variable, a

dummy variable is created where 1 is ‘yes’ and indicates that a firm gives monetary incentives

for the management of climate change, and 0 is ‘no’ and indicates that a firm does not give

money as incentive, but implies that the firm uses a non-monetary incentive type for climate

change management. Because in our sample we focused on firms that only use one type of

incentive for climate change management, monetary or non-monetary, we can investigate the

effect of giving monetary contrary to giving non-monetary incentives. With monetary

incentives as the moderator in this study, we will additionally investigated if giving monetary

incentives strengthens or weakens the relationships between the independent and dependent

variables. Within this research, we hypothesized that awarding monetary incentives positively

moderates, or strengthens, the relationship between de independent and dependent variables.

4.2.4 Control variables

Within this research, also some control variables are important. In the current sample,

companies from different kinds of industries exist. Obviously, large differences exist between

industries concerning their CO2 emission. For example, the financial sector in general is

much less polluting than the energy industry (Nieland et. al., 2013). This bias firstly has been

reduced by looking at the relative improvement or deterioration of a company between two

years. Next to that, in this analysis is controlled for industry type. CDP distinguishes the

following ten different types in the sample: utilities, health care, financials, industrials,

consumer discretionary, consumer staples, IT, telecom, materials, energy. These different

industry types are coded into dummy variables, where a 0 indicates ‘no’ and a 1 indicates

‘yes’. Besides differing industries, companies in our sample operate in different countries all

over the world. Also the geographic location of a company could make a significant

difference concerning environmental performance. Because our sample contains firms located

30

in many different countries all over the world, firms are categorized per continent. To control

for geographic region, six different continents are distinguished: Europe, Asia, USA, Africa,

Latin America and Australia. These control variables are also coded into dummies, where 1

indicates ‘yes’ and 0 indicates ‘no’. Within this study, we chose not to categorize per country

but per continent, because there exist many different countries in our sample. When a dummy

variable has to be created for every country, this would result in a large amount of dummy

variables in our analysis. Additionally, for some countries there are very few firms and so it

makes sense to cluster them into a higher-level category, such as continent. Next to these

variables, also firm size, firm profitability and a firm’s debt could count as important

variables. Therefore, within this study we also control for a firm’s number of employees,

return on assets and debt ratio.

4.3 Results

Table 1 and 2 present some descriptives and frequencies of the data and variables used

within this study. Companies in our sample emitted together on average less CO2 in 2014

than in 2013, with a mean decrease of -2043545.90 of CO2 emissions in metric tonnes in

absolute numbers. As shown in table 1, the mean percentage change of CO2 emissions in

2013 and 2014 is -35.22% (SD = 15.91). Out of the total sample of 275 companies, 239 are

providing incentives to their employees for climate change management. Out of the 239 firms

that incentivize employees for this sustainable behavior, 189 give monetary incentives and 86

companies give non-monetary incentives. Within our sample, 172 firms incentivize their

CEO, 144 firms incentivize their board of directors and 123 of the companies give incentives

for climate change management to all employees in the organization. Most companies in our

sample are part of the financial industry, including 58 companies. The energy sector is the

industry type that contains the lowest number with 8 firms. Europe is the geographical region

where most of the companies in our sample are located in, with a number of 118 companies.

31

Following on that, 70 companies are located in the USA and 65 in Asia. Few companies are

located in Africa (8), Australia (8) and Latin America (6).

Variable N Min Max Mean St dev

Debt Ratio 275 00.50 147.58 44.83 25.01

Return on Assets 275 -14.83 39.21 4.60 5.71

Total Employees 275 12 537784 42454.35 69997.16

CO2 savings percentage change 275 -99.99 6919.47 -35.22 15.91

Variable N

Incentives 239

CEO Incentives 172

Board Incentives 144

All employees incentives 123

Monetary incentives 189

Financial Industry 58

Industrials Industry 54

Utilities Industry 24

Healthcare Industry 14

Consumer Discretionary Industry 31

Consumer Staples Industry 20

IT Industry 31

Material Industry 22

Energy Industry 8

Telecom Industry 13

Asia 65

USA 70

Europe 118

Africa 8

Australia 8

Latin America 6

Table 2. Descriptive statistics: dummy variables

Table 1. Descriptive statistics: means and standard deviations

32

To check for multicollinearity, correlations between the independent and control

variables are computed. None of the predictors that are put together in the same regression

model have a correlation higher than 0.5, which is an indicator that no multicollinearity issues

exist in this study. Also in our multiple regression analyses the tolerance level was above 0.2

and the variance inflation factor (VIF) shows a level of around 1.1 for all variables, which

supports the assumption that multicollinearity is not an issue in this research. Some of the

independent variables do correlate strongly, but they are never used within the same

regression model, they are tested independently of each other. The effects of all three

variables, CEO incentives, board incentives and all employees incentives, on CO2 emission

savings are tested separately. In table 3 the Pearson correlations are showed.

33

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25

1. Number of

employees

1

2. Return on

Assets

-.03 1

3. Debt ratio .05 -.17** 1

4. Industrials -.01 -.15* -.08 1

5. Utilities -.13* -.05 -.07 -.15* 1

6. Healthcare .04 .18** -.05 -.11 -.07 1

7. Consumer

discretionary

.11 .06 -.07 -.18** -.11 -.08 1

8. Consumer

staples

.19** .21** -.08 -.14* -.09 -.07 -.10 1

9. Financials -.07 -.19** .41** -.26** -.16** -.12* -.18** -.15* 1

10. IT .02 .04 -.11 -.18** -.11 -.08 -.13* -.10 -.18** 1

11. Materials -.08 -.01 -.08 -.15* -.09 -.07 -.11 -.08 -.15* -.11 1

12. Energy -.03 .09 -.02 -.09 -.05 -.04 -.06 -.05 -.09 -.06 -.05 1

13. Telecom -.03 .06 -.04 -.11 -.07 -.05 -.08 -.06 -.12 -.08 -.07 -.04 1

14. Asia -.06 -.16** -.12 .16** -.17** -.05 .02 .01 -.08 .18** -.10 -.05 -.03 1

15. USA .07 .13* .03 -.10 .12 .06 .03 -.04 -.04 .03 -.02 .05 -.01 -.33** 1

16. Europe .03 -.02 .07 -.04 .02 .00 -.01 .01 .07 -.12* .04 -.02 .05 -.48** -.51** 1

17. Africa -.04 .08 -.06 .02 -.05 -.04 -.06 .04 -.04 -.06 .27** -.03 -.04 -.10 -.10 -.15* 1

18. Australia -.05 .02 .08 -.03 -.05 .06 -.06 .04 .12* -.06 -.05 .10 -.04 -.10 -.10 -.15* -.03 1

19. Latin

America

-.06 .05 -.02 -.01 .22** -.04 .03 -.04 -.02 -.05 -.04 -.03 -.03 -.08 -.09 -.13* -.03 -.03 1

20. Incentives .15* -.05 .05 .06 -.11 -.01 .07 -.02 -.04 -.03 .04 .03 .04 .09 .04 -.08 .07 .07 -.16** 1

21. CEO

incentives

.11 -.04 -.01 .12 -.03 .01 -.03 .04 -.10 -.06 .01 .05 .03 .15* -.07 -.03 -.05 .09 -.19** n.a. 1

22. Board

incentives

.12* -.08 .03 .12* -.07 -.04 .02 .02 -.08 .02 -.01 -.01 .01 .24** -.08 -.09 -.01 -.01 -.16** n.a. .61** 1

23. All

employees

incentives

.02 -.11 .04 .14* -.10 -.01 .03 -.06 -.05 .05 -.05 -.03 .01 .34** -.07 -.13* -.16** -.03 -.13* n.a. .67** .84** 1

24. Monetary

incentives

.19** -.05 .10 .08 -.10 .01 -.01 -.02 -.11 -.01 .08 .02 .11 .04 -.06 .01 .02 .12 -.17** n.a. .50** .41** .34** 1

25. CO2

savings

-.06 -.01 -.05 .03 .03 -.05 .02 -.05 .02 -.07 -,05 .10 .02 .09 .02 -.12 -.03 .07 -.01 -.10 .02 -.02 .01 -.02 1

Table 3. Pearson correlations

34

In the first hypotheses is formulated that companies that provide incentives for climate

change management, reach higher CO2 savings than companies which do not provide those

incentives for climate change management. The first hierarchical regression analysis in this

research is carried out with the complete sample of 275 companies and the independent

variable providing incentives yes or no, controlled for all the control variables return on

assets, total employees, debt ratio, geographic region and industry type. Model 1 would

explain 5.1% of the variance in CO2 emission savings but was not significant F (17, 257) =

.820; p >.05 and model 2, which includes giving incentives, would explain 6.2% of the

variance but was also not significant F (18, 256) = .946; p >.05. With this outcome,

hypothesis 1 is rejected.

For the rest of the analysis, we only looked at companies which do provide incentives,

so the ones which do not incentivize employees for climate change management are left out of

the sample, resulting in 239 companies. In the second hypothesis it is predicted that when

companies give incentives to their CEO for climate change management, this will lead to

higher CO2 savings than companies that do not incentivize their CEO. Again, an hierarchical

regression is carried out with all the control variables and the independent variable CEO

incentives. When CEO incentives is added to the model, it would explain 7.8% of the

variance, but was not significant F (18, 220) = 1.039; p >.05. This results in a rejection of

hypothesis 2a. To test hypothesis 2b, the moderating effect of monetary incentives on the

relationship between CEO incentives and CO2 emission savings is tested. To run this

analysis, an interaction variable was created between monetary incentives and CEO

incentives. After entering the moderating variable monetary incentives and the variable

measuring the interaction between CEO incentives and incentive type, the model as a whole

would explain 8.1% of the total variance, F (20, 218) = .965, p > 0.05, but this result was not

significant. Also hypothesis 2b is rejected.

35

In the third hypothesis it is stated that if firms give incentives for climate change

management to the board of directors, this will lead to higher CO2 emission savings than

when companies do not incentivize their board. When the variable board incentives is added

to the model, it would explain 7.6% of the variance in CO2 emissions but it was not

significant F (18, 220) = 1.002; p >.05. Hypothesis 3a is rejected. After creating the

interaction variable between board incentives and monetary incentives, we tested the

moderation. The model would explain 8.1% of the variance in CO2 but was not significant F

(20, 218) = .966; p >.05. Hypothesis 3b is also rejected.

In the fourth hypothesis we formulated that giving incentives for climate change

management to all employees in the organization would lead to higher CO2 emission savings

than when companies do not incentivize all employees. When all employees incentives is

added to the model, it would explain 7.8% of the variance in CO2 emissions but it was not

significant F (18, 220) = 1.003; p >.05. Therefore, we have to reject hypothesis 4a. Also to

test this moderation the interaction variable is constructed between all employees and

monetary incentives. Adding these moderating and interaction variable results in an increase

to 8.4% of explanation but also this result was not significant F (20, 218) = .999; p >.05.

Hypothesis 4b is rejected.

36

Variables Model 1

CVs

Model 2

Hypothesis 1

Model 3

Hypothesis 2a

Model 4

Hypothesis 3a

Model 5

Hypothesis 4a

Control variables

Number of Employees -.028(-.434) -.012(-.190) -.041(-.584) -.040(-.571) -.036(-.520)

Return on Assets .011(.163) .010(.139) .036(.489) .037(.497) .038(.514)

Total Debt%Total Capital -.092(-1.331) -.079(-1.153) -.007(-.096) -.010(-.136) -.012(-.156)

Industrials -.173(-1.112) -.174(-1.120) -.262(-1.563) -.266(-1.582) -.270(-1.610)

Utilities -.081(-.671) -.089(-.740) -.154(-1.262) -.153(-1.256) -.152(-1.250)

Healthcare -.175(-1.777) -.176(-1.796) -.240*(-2.285) -.242*(-2.303) -.246*(-2.341)

Consumer Disctretionary -.141(-1.103) -.137(-1.074) -.201(-1.434) -.210(-1.499) -.212(-1.516)

Consumer Staples -.174(-1.560) -.181(-1.625) -.243*(-2.068) -.245*(-2.080) -.244*(-2.072)

Financials -.165(-1.038) -.173(-1.093) -.375*(-2.237) -.384*(-2.290) -.387*(-2.309)

IT -.252*(-1.965) -.258(-2.018) -.315*(-2.325) -.324*(-2.397) -.326*(-2.416)

Material -.161(-1.384) -.160(-1.378) -.253*(-2.021) -.255*(-2.040) -.257*(-2.058)

Telecom -.079(-.807) -.077(-.793) -.131(-1.237) -.133(-1.255) -.134(-1.262)

Energy

Asia -.131(-.684) .187(.965) .018(.066) .044(.165) .025(.093)

USA .080(.420) .128(.664) .066(.249) .090(.342) .082(.312)

Europe .002(.009) .051(.236) -.057(-.191) -.026(-.089) -.034(-.116)

Africa -.004(-.046) .022(.228) -.013(-.104) -.008(-.063) -.002(-.012)

Australia .085(.903) .112(1.173) .102(.809) .118(.945) .116(.935)

Latin America

Independent variables

Incentives (y/n) -.110(-1.724)

CEO incentives .063(.924)

Board incentives .033(.488)

All employees incentives .062(.869)

Moderating variable

Monetary incentives

Interaction variables

CEO x Monetary

Board x Monetary

All employees x Monetary

R2 .051 .062 .078 .076 .078

Adjusted R2 -.011 -.004 .003 .001 .003

F-statistic .820 .946 1.039 1.002 1.033

P-value .669 .524 .417 .458 .432

Table 4. Results of hierarchical regression with CO2 emission savings as dependent variable

37

Variables Model 6

Hypothesis 2b

Model 7

Hypothesis 3b

Model 8

Hypothesis 4b

Control variables

Number of Employees -.047(-.673) -.051(-.723) -.045(-.635)

Return on Assets .037(.497) .039(.520) .042(.563)

Total Debt%Total Capital -.011(-.141) -.011(-.149) -.015(-.193)

Industrials -.267(-1.583) -.278(-1.645) -.284(-1.682)

Utilities -.157(-1.278) -.156(-1.277) -.159(-1.301)

Healthcare -.242*(-2.299) -.245*(-2.329) -.251*(-2.387)

Consumer Discretionary -.203(-1.440) -.215(-1.526) -.219(-1.557)

Consumer Staples -.240*(-2.028) -.237*(-2.000) -.239*(-2.022)

Financials -.371*(-2.202) -.388*(-2.294) -.392*(-2.322)

IT -.318*(-2.340) -.331*(-2.440) -.336*(-2.471)

Material -.257*(-2.048) -.264*(-2.103) -.265*(-2.115)

Telecom -.137(-1.288) -.143(-1.341) -.144(-1.356)

Energy

Asia .015(.058) .042(.157) .022(.081)

USA .067(.252) .096(.361) .088(.332)

Europe -.060(-.202) -.033(-.113) -.039(-.133)

Africa -.016(-.128) -.006(-.046) -.003(-.025)

Australia .095(.746) .110(.871) .110(.870)

Latin America

Independent variables

Incentives (y/n)

CEO incentives -.007(-.051)

Board incentives -.082(-.550)

All employees incentives -.070(-.453)

Moderating variable

Monetary incentives .013(.127) .012(.127) .006(.069)

Interaction variables

CEO x Monetary .081(.482)

Board x Monetary .134(.772)

All employees x Monetary .153(.885)

R2 .081 .081 .084

Adjusted R2 -.003 -.002 .001

F-statistic .965 .966 .999

P-value .506 .504 .465

38

5. DISCUSSION

5.1 Academic relevance

Within this paper it is made clear that our society of today needs to take measures for

reducing global warming. If we do nothing and continue emitting CO2 at the current rate, our

climate, nature and world will change with dramatic consequences (Hirabayashi et. al., 2008;

IPCC, 2014; IPCC, 2007). Due to increasing temperatures, sea levels keep on rising during

this century, stronger and more frequent hurricanes and storms will occur which have the

power to destroy people’s houses or even entire city’s, floods and droughts will become more

common and diseases such as malaria will be spread more easily (IPCC, 2007). In view of

these disastrous consequences our world is currently experiencing and awaiting, sustainable

development is an important aspect for today’s business (Cerin & Karlson, 2002).

The aim of this study was to find out what incentivizing system could be helpful for

companies to reduce their CO2 emissions. Since companies are entities which could have a

large impact, they should not be seen as just the polluters of our earth, but rather as a part of

the solution towards more sustainability (Boiral, 2006). For example, big multinational

companies with massive production processes, large buildings and goods could emit huge

amounts of CO2 which strongly contribute to global warming. Therefore, from our point of

view, companies should actively search for effective ways in which they can contribute to the

management of climate change. Building on the literature we found, we believe that

incentives are useful to motivate employees in a certain way for the achievement of company

goals. Thanks to the CDP, we obtained data from companies which disclosed information

about their CO2 emissions. We also used their data about companies that reward employees

with specific incentives for the management of climate change. In our literature section, we

have written about how incentives can influence people to act in a certain way (Baker, Jensen

& Murphy, 1988; Berrone & Gomez-Mejia, 2009a; Read, 2005; Long & Shields, 2010). On

39

the basis of existing theories, we believe that employees in general are indeed sensitive to

receiving rewards. In addition to that, we also found some proof in literature that incentives

can be used as a motivator to make employees act more environmentally responsible (Laabs,

1992; Patton & Daley, 1998). However, not much research exists about incentives specifically

linked to climate change management, and the effect of giving those incentives on the CO2

emission reduction of companies. This gap in the literature was the driver for our study. Using

CDP data about different incentivized employee types and different types of incentives for

climate change management, we tested if this reward method was effective for achieving

lower amounts of CO2 emissions.

5.2 Managerial implications

Unfortunately, we did not find any significant results following on the expectations we

formulated. We did not find significant differences in CO2 emissions between companies that

do and do not give incentives for climate change management. Also, firms incentivize their

CEO, the board of directors and firms that incentivize everyone in the organization for climate

change management, do not significantly reach higher CO2 emission savings than firms that

do not incentivize those workers. Furthermore, giving monetary rewards does not lead to

significant differences in our study. Due to these findings, we were obliged to reject all of our

hypotheses. However, enough proof exists for the assumption that incentives can be effective

to motivate people in the organization to work towards certain company goals (e.g. Read,

2005; Baker, Jensen & Murphy, 1988; Porter & Lawler, 1968). In this study, these company

goals concern sustainability objectives, and incentives are linked to engaging in climate

change management practices. We can doubt the fact if companies should reward employees

for climate change management, as it may not be an effective way to achieve sustainability in

terms of CO2 emissions of companies. Companies should also rethink who they reward for

climate change management, because different types of employees may respond differently to

40

incentives. Like mentioned earlier within this paper, Russo & Harrison (2005), for instance,

found a difference in reaction on incentives between facility managers and environmental

quality managers. Evidently, significant outcomes of rewarding may exist for types of

employees other than studied within this research. Furthermore, although money is proven to

be an efficient driver for employees to engage in certain activities (e.g. Clark & Wilson, 1961;

Govindarajulu & Daily, 2004), it may probably not be applicable to the case of climate

change management and CO2 emission reduction. We recommend companies to look for

other methods to reduce CO2 emissions than giving incentives to employees for climate

change management.

5.3 Limitations and future research

Several reasons could be given for why our research may not have led to the findings

we expected to obtain. Concluding from our findings, it may not be right to link awarding

employee incentives for the management of climate change to reducing CO2 emissions.

Possibly, incentivizing employees for climate change management may lead to other

outcomes instead of CO2 emission reduction of the company. A closer look within the

company is necessary to investigate what direct effect incentivizing employees for climate

change management has on the practice of its business. Furthermore, we did not have precise

information about the nature and the extent of the incentives. Because we do not have a clear

view of how frequent, at what times and how many incentives are awarded, discrepancies

may exist between the companies in our sample. For example, the amount of money used as

incentive by one company could be higher than the amount of money used by another. This

could possibly be a disturbing factor in our analyses. In addition, Govindarajulu and Daily

(2004) mention that incentives alone would not lead to significant environmental

improvement, but that they need to be given in combination with feedback, empowerment and

clear communication. We did not have information about those practices within companies in

41

our sample. Moreover, climate change management is a broad concept and implementation of

it may strongly differ between companies, since some people may give meaning to

management of sustainability practices in a completely different way than others. Those

management decisions can vary widely from, for instance, reforestation activities to offset

GHG emissions, to investments in clean technologies or implementation of energy efficiency

programs (Boiral, 2006). This needs to be explored in more detail in further research.

Another important limitation of our study is the time frame used to investigate

the effect incentives could have on CO2 emission savings. Due to limited access to data, we

only had information about the years 2013 and 2014. Therefore, the difference in CO2

emissions was solely based on two consecutive years and this difference was used as an

indicator showing to what extent a company improved its sustainability. In addition to that,

we did not know for how long the companies in our sample have been rewarding their

employees for climate change management.

Furthermore, the sample can contain bias as only companies which voluntarily

disclosed their sustainable data to CDP were used within this study. This means that some

companies could be excluded from this research, which may be the companies that are not

actively engaging in climate change management. Those firms might be hesitant to reveal

information about their pollutive activities or about disappointing efforts they made

concerning the improvement of their company’s sustainability. A possible explanation for this

hesitation relates to the phenomena of greenwashing. Greenwashing means that firms create

an image of being environmentally responsible, by giving false and misleading information

(Vos, 2009). Furthermore, some companies were deleted from the sample because their data

contained missing variables. For instance, some firms only filled in their amount of CO2

emissions for either 2013 or 2014, which eliminates the possibility to calculate CO2 emission

savings for those companies. In addition to that, for our research we were dependent on

42

secondary data obtained by CDP, who generated questionnaires which were filled in by

companies themselves, established worldwide. The risk of receiving unreliable information

from the company may exist since some respondents, answering on behalf of the company,

might not possess the right information, could interpret questions wrongly or might give false

answers.

Also, since we controlled for six geographic regions in our analyses, the geographic

scope might have been too broad. For instance, in Asia large differences in CO2 emissions

seem to exist between on the one hand China, and on the other hand Thailand, Taiwan and

Indonesia (Worrell et. al., 2001). Within this research, we controlled for geographic regions

such as the entire continent of Asia, which may ignore significant differences between

companies within one continent. In Europe as well there seem to exists disparities in CO2

emissions between different countries (Martínez-Zarzoso, Bengochea-Morancho & Morales-

Lage, 2007). Further research is necessary to investigate potential differences between

separate countries.

A final limitation which could be mentioned concerns the fact that we focused only on

one type of incentivized employee per analysis, regardless if other employee types within the

organization were also incentivized. Due to high correlation between the variables CEO

incentives and board incentives, creating an interaction variable may cause a risk of

multicollinearity. In future research, the effect of incentivizing specific combinations of

different employee types could be studied.

6. CONCLUSION

Due to the threat of global warming, firms are experiencing increasing pressures to reduce

their CO2 emissions and are expected to engage in climate change management practices.

Awarding incentives to employees is proven to be an effective method for motivating and

43

stimulating them to work towards certain company goals. However, hardly any research exists

about rewarding employees specifically for climate change management and its effect on CO2

emission reduction. This study investigated if companies that reward their employees for

climate change management reach CO2 emission savings. Contrary to our expectations, we

did not find any significant differences between firms that do and do not give employee

incentives for climate change management, in terms of reaching CO2 emission savings. Also,

no significant results were found for the effect of rewarding the CEO, the board of directors

and all employees within the organization on CO2 emission savings. Additionally, we did not

find significant evidence for our expectation that monetary incentives for climate change

management are more effective than non-monetary incentives to reduce CO2 emissions.

Several important limitations of this study could be highlighted. Since we only used data from

two years to measure the change in CO2 emissions, longitudinal research is necessary to

investigate long-term effects of rewarding employees for climate change management.

Moreover, this study only includes firms that voluntarily disclosed information about their

sustainability practices and CO2 emissions, which may create bias. Firms that are not willing

to reveal this type of information may show significant differences opposed to firms that do

disclose information about climate change management and CO2 emissions. Furthermore, due

to lack of a clear and consistent meaning of organizational climate change management

implementations and lack of information regarding the specifics of the incentives, further and

more detailed research is necessary.

ACKNOWLEDGEMENT

I would like to thank dr. Daniel Waeger, my supervisor at the University of Amsterdam, for

the helpful guidance during writing this thesis.

44

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