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6F6Z3001 THIRD YEAR PROJECT Winter Sports tourist’s perceptions on Climate Change impacts and responses H.L.Norman A Project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science (Honours) in Environmental Management & Sustainability, The Manchester Metropolitan University.

Winter sports tourists perceptions on climate change

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6F6Z3001 THIRD YEAR PROJECT

Winter Sports tourist’s perceptions on Climate Change impacts and responses

H.L.Norman

A Project submitted in partial fulfillment of the requirements for the degree of Bachelor of Science (Honours) in Environmental Management & Sustainability, The Manchester Metropolitan

University.

Environmental and Geographical Sciences Undergraduate Network

The Manchester Metropolitan University

April 2015

Declaration of originality

This is to certify that the work is entirely of my own and not of any other person, unless explicitly acknowledged (including citation of published and unpublished sources). The work has not previously been submitted in any form to the Manchester Metropolitan University or to any other institution for assessment or any other purpose.

Signed

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Date

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Word Count

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TABLE OF CONTENTS

List of tables4.1 Survey Respondents

4.1.1 – Country of residence for survey respondents 21List of figures

4.2 Importance and perceptions of sustainability 224.2.1.1 General importance of sustainability 224.2.2.1 Proposed meanings of sustainable tourism 244.2.3.1 Importance of sustainability on holiday 264.2.4.1 Comparison of sustainability at home and on holiday 284.2.4.2 Direct comparison of sustainability on holiday and at

home 294.3 Voluntary fee for Sustainable Tourism policies 30

4.3.1.1 Willingness to pay 314.3.1.2 Willingness to pay & sustainability on holiday 304.3.2.1 Voluntary amount offered 35

4.4 Environmental issues 364.4.1 – Environmental issues importance among participants 36

4.5 Climate Change Perceptions 374.5.1.1 Participants perception on climate change 374.5.1.2 Level of agreement 384.5.1.3 Convinced by greenhouse effect 38

4.6 Winter sports questions 404.6.1.1 Winter sports qualifying question 404.6.2.1 Winter sports disciplines 414.6.3.1 Frequency of winter sports holidays 424.6.4.1 Participants who had been to more than one location 424.6.5.1 Most frequented country 434.6.6.1 Factors of importance when choosing holiday destination 444.6.7.1 Perceptions of current impacts of climate change on the

length of the natural ski season 454.6.8.1 Perceptions on whether the impact of climate change

will have an effect on ski season length in the future 464.6.9.1 Comparison of climate change impacts now and the

future responses 474.6.10.1 Comparison of artificial and natural snow 484.6.11.1 How should artificial snow be used? 494.6.12.1 Negative effects associated with using artificial snow 504.6.13.1 Willingness to visit resort if large proportion of snow

was artificial 514.6 General Information 52

4.6.1.1 Gender 52

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4.6.2.1 Age range of participants 534.6.3.1 Level of education 53

1. INTRODUCTION 71.1 Sustainable Tourism 9

1.1.1 Climate Change Impacts on Tourism 121.1.2 Tourism impacts on Climate Change 131.1.3 Attitude behaviour gap and the psychology of tourists 14

1.2 The Winter Sports Industry 16

2. AIMS AND OBJECTIVES 182.1 Aims 182.2 Objectives 18

3. METHODOLOGY 193.1 Questionnaire Design 193.2 Questionnaire Administration 203.3 Data Analysis 20

4. RESULTS & DISCUSSION 214.1 Survey respondents 214.2 Importance and perceptions of Sustainability 22

4.2.1 General importance of sustainability 224.2.2 Proposed meanings of Sustainable Tourism 234.2.3 Importance of sustainability on holiday 264.2.4 Comparison of sustainability at home and sustainability on holiday 27

4.3 Voluntary fee for sustainable tourism policies 304.3.1 Willingness to pay 304.3.2 Voluntary amount offered 34

4.4 Environmental issues 354.5 Climate change perceptions 36

4.5.1 Participants perceptions on climate change 364.5 Winter sports questions results 40

4.5.1 Winter sports qualifying question 404.5.2 Winter Sports disciplines 414.5.3 Frequency of winter sports holidays 414.5.4 Participants who have been on one or more winter sports holiday to more than one location 424.5.6 Most frequented country 434.5.7 Factors of importance when choosing a holiday destination 434.5.8 Perceptions on the current impact of climate change on the length of the natural ski season 45

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4.5.9 Perceptions on whether the impact of climate change will have an effect on ski season length in the future 464.5.10 Comparison of climate change impacts now, and in the future responses 474.5.11 Comparison of artificial and natural snow 484.5.12 How should artificial snow be used? 494.5.13 Negative effects associated with using artificial snow 504.5.14 Willingness to visit resort of large proportion of snow was artificial 50

4.6 General Information 524.6.1 Sex of participants 524.6.2 Age range of participants 534.6.3 Level of education 53

5. CONCLUSIONS 54

6. REFERENCES 55

7. ACKNOWLEDGMENTS 60

8. APPENDICES 61

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AbstractThis study primarily sets out to investigate ‘Sustainability’ as a term using the Winter Sports Industry as a key factor of an industry that may or may not be affected by climate change. By addressing climate change perceptions, the attitude behavior gap that lies within sustainable tourism and willingness to pay for voluntary offset schemes, the study aims to build an understanding of issues arising around sustainability and climate change.

Participants were invited to take part in a survey that addressed these issues over a 3-month period, comprising of open and closed questions. The study concluded to agree that although people care about the environment, they do not hold themselves accountable for being sustainable or paying extra for offset schemes as well as having broad conceptions about what Climate change is, agreeing with other literature within the same area.

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1. INTRODUCTION

The motivation behind this project is to examine the relationships between tourism,

sustainability and climate change. In particular, it aims to investigate stakeholder

perceptions of and responses to climate change, building understanding of the

attitude-behaviour gap. This project will explore how the tourism industry is impacted

by and responding to climate change. Specifically, it will focus on the ski industry,

which due to its nature requires a specific environment that can (and is) being altered

by climate change.

Sustainable tourism and climate change has become a growing field of research as

people become increasingly conscious of how their actions can affect the environment

around them (Liu, 2003). Recently however, due to the increasingly broad amount of

destinations that tourists can fly to, relatively low cost, sustainable travel seems to be

becoming an increasingly difficult goal to achieve (Burns & Bibbings, 2009). Aviation

has the fastest growth rate of all modes of transport (Whitelegg & Williams, 2000). The

aviation industry has rapidly expanded along with the world economy, with a 9%

growth of passenger air traffic since 1960 (Upham et al., 2003). Forecasts for

unconstrained aviation growth in Europe and the UK, predict that the number of

passengers using air travel is set to double over the next 20 years (Upham et al., 2003).

Climate change has also become a household concern over the last two decades due

to consistent coverage by the media. For the last 650,000 years CO2 level (ppm) has

fluctuated greatly, however CO2 levels are now significantly higher than they were in

1950, with some of the main observed climate change impacts on natural systems

listed below (IPCC, 2014):

- The Cryosphere (Glaciers, ice sheets, floating ice and snow)

- Coastal systems and low lying areas

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- Availability of freshwater

- Species distribution and biodiversity

Addressing climate change, the Kyoto Protocol is an international agreement

associated with the United Nations Framework Convention on Climate Change. The

agreement devotes its members (37 industrialized countries and the European

Community) to reducing their emissions and meeting regulation targets and is one of

the most significant conventions in human history addressing climate change as a

threat (UNFCC, 2015). The first commitment period was between 2008 and 2012, with

a second commitment period known as the Doha amendment proposed in 2012

(UNFCC, 2015).

By using one of the largest sub sectors of the tourism industry as an example, the ski,

or winter sports industry (hereafter referred to as the ‘ski’ industry) this study will

examine voluntary pay schemes and responses to snow mitigation methods. The ski

industry makes a particularly good case study due to its seasonal specific weather

requirements, which has the potential to be permanently altered or influenced by

climate change resulting from increased tourism.

There is currently an acceptance within the tourism industry that when choosing a

holiday tourists are unlikely to change their behavior to protect the environment, as

was shown in a recent study by Juvan & Dolnicar (2014) that surveyed 216 participants

on acceptability, awareness and perception of carbon calculators. Juvan & Dolnicar

(2014) found that participants who were environmentally aware in their survey knew

of the environmental impacts they were causing even if it was unintentional. However,

instead of the tourists changing their behaviours they simply justified their reasons for

not doing so, this attitude behaviour gap made them feel uncomfortable (Juvan &

Dolnicar, 2014).

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1.1 Sustainable Tourism

What is the meaning of sustainable tourism? Without a defined answer, the widely

contested concept, or paradigm of sustainable development has many potential

interpretations (Bramwell & Lane, 2000), and, with the notion that tourism could be

‘sustainable’, there is an array of conceptual theory about what sustainable tourism is,

and how it can be defined.

However, according to the World Tourism Organization (UNWTO) sustainable tourism

is defined as: ‘Tourism that takes full account of its current and future economic, social

and environmental impacts, addressing the needs of visitors, the industry the

environment and host communities’, (UNWTO, 2005). Among the conceptual theories

of what constitutes sustainable tourism however, core principles have been identified

(Bramwell & Lane, 2000):

- Maintenance of natural, built and human cultural resources is critical for our

prolonged wellbeing

- Sustainable development – to conserve resources for future generations, to

give them similar opportunities and choices as those of the current generation

- Understanding and acting on the interconnections that exist between the

environment, economy and society

- Priority should be given to improving the conditions of the world poorest

countries

In October of 1987, the World Commission on Environment and Development (WCED)

released ‘Our Common Future’ also known as the Brundtland Report, a document that

sought to unite countries to pursue sustainable development together as well as

define the term ‘sustainable development’, (Drexhage & Murphy, 2010). In 1992,

industry leaders set out principles of what sustainable development is at the United

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Nations Conference on Environment and Development in Rio de Janeiro, Brazil

(Drexhage & Murphy, 2010). Since then businesses have adhered to these and made

significant progress addressing the three main pillars of sustainability, the

environment, economy and society (Drexhage & Murphy, 2010). However, due to the

ongoing debate and elusive nature of the term, the concept has been difficult to

implement, and as a result, climate change has been the main relation to sustainable

development (Drexhage & Murphy, 2010).

Other literature supports such concepts, Sautter & Leisen’s (1999) paper on managing

stakeholders concluded to agree that for success in sustainable development efforts,

key players within the tourism industry must collaborate in order to make an influence

within the sector. Additionally, other researchers are starting to consistently argue the

need for increased collaboration in the planning process. According to Jamal & Getz,

(1995), ‘the most basic argument presented in much of the literature is the need to

more actively involve all persons affected by proposed development’.

Crucially, these reports and papers set to recognise that in order for sustainable

tourism (or development), to be effectively implemented into a community, support

from stakeholders is important. Stakeholders can be identified as ‘any group or

individual who can affect or is affected by’ (and in this case) tourism development in an

area (Freeman & McVea, 1984), in the case of sustainable tourism these stakeholders

are (Byrd, 2007):

- Entrepreneurs - Those affected by tourism

- Community leaders - Industry’s reliant on tourism

- Tourists - NGO’s

- Shareholders - Employees (Primary, secondary, tertiary levels)

- Government

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Stakeholder participation is becoming increasingly important in a more knowledgeable

society; with decisions usually made from the top down, communities argue that

decisions are not made reflective as to the community’s interests and opinions (Byrd,

2007; Brown & Fraser 2006).

According to Sharpley (2014), it is well known that it is the responsibility of those

planning tourism to ensure the wellness of local residents whilst minimizing the

impacts that tourism development can have on an area (see also Nilsen & Ellingsen,

2015). Perhaps a contested issue due to the Brundtland Report’s theory that in order

to achieve sustainable development stakeholders must collaborate, inclusive of the

consumer. Although tourism can provide substantial economic growth to an area this

does not come without sometimes significant, environmental, economic and social

cost, particularly the impact on the destination and the local people (Sharpley, 2014).

Tourism has only recently in the last decade or so attracted attention whereby its

contribution to climate change has been considered an important factor through its

greenhouse gas emissions (Gossling, 2002), as well as being an industry that is also

considered high risk due to the specific nature of the environments required. In 2003,

the first conference on climate change and tourism took place in Djerba, Tunisia held

by the UNWTO. The conference bought together 140 delegates from 45 countries and

allowed scientists, organizations, businesses, and tourism authorities to exchange

views on the consequences, opportunities and risks of tourism and how it directly

affects climate change, climate change is now an important issue for policymakers

around the world with tourism being an important element (WTO, 2003). Although

environmental impacts might be of direct importance, the most significant and current

area of research interest is how the climate is changing in popular tourist destinations

(Konig, 1998; Trawoger, 2014).

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1.1.1 Climate Change impacts on Tourism

The most recent assessment report from the Intergovernmental Panel on Climate

Change (IPCC) highlights the impacts of climate change on the tourism industry.

Climate change is set to significantly impact the tourism industry, with impacts

manifesting themselves in a number of different ways (IPCC, 2014). Food prices,

national security and availability of freshwater are factors that can influence tourist

decisions, resulting in once popular destinations becoming less visited (IPCC, 2014).

Rising sea levels and acidification threaten coastal-based tourism, and the loss of

biodiversity and potential damage to coral reefs is likely to damage eco-tourism areas

of the world (IPCC, 2014). Among these however, the IPCC also states that warmer

winters are decreasing the amount of possible days that people can ski on resort

slopes and threatening the general viability of some low lying resorts (IPCC, 2014).

The estimated value of the ski industry worldwide currently stands at $70billion

(English, 2014). As it stands, with greenhouse gases continuing to rise and inconsistent

snowfall, annual snow cover in the northern hemisphere has deceased by about 10%

since 1966 (Moen & Fredman, 2007). Indeed, this is reported in tourist facing media,

where according to the popular website powder.com (Dunfee, 2012) by 2039, the ski

season on the east coast of America will be some 2 weeks shorter than it is today, with

mountains becoming increasingly dependent on snowmaking technologies for reliable

conditions and for the resort to run a viable amount of time.

However, climate change may also have positive impacts in certain parts of the world;

with guaranteed sunshine and heat in regions that are traditionally are not holiday

destinations (Viner & Agnew, 1999). A warmer climate in countries such as the UK may

encourage tourists to holiday at home, creating an expansion in the domestic market

as the UK becomes a more desirable holiday destination (Viner & Agnew, 1999).

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1.1.2 Tourism impacts on Climate Change

Tourisms exponential growth over the last decade has significantly contributed to

climate change, especially through the use of air travel. According to Chapman, (2007),

26% of global carbon dioxide emissions arise from the transportation industry, which is

still growing. Furthermore, Peeters (2007) reports that 89% of GHG emissions within

the tourism industry result from transport, with 8% associated with accommodation

and 3% activities and local transport.

It is now one of the most lucrative industries in the world with international visits

globally increasing from 675 million in 2000 to 940 million in 2010, the tourism

industry now contributes to an estimated 9% of the GDP (Hsieh & Kung, 2013). It is

well known that global tourism benefits the destination of choice economically and

therefore most researchers in Tourism will agree that it is important for general

economic growth and local economic development. Long distance destinations such as

Thailand and Africa have become increasingly popular; however, the environmental

impacts are often overlooked with their being a shortage of studies looking at the

relationship between tourism and environmental impacts (Hsieh & Kung, 2013).

With this, the demand for air transport has grown and one of the growing concerns

around this for local and regional governments is the increase in CO2, with emissions

estimated to be 7-8 times the level in 2050 as opposed to 1990 (Adler et al., 2013).

With flights getting more affordable and the push to promote all inclusive package

holidays, the demand for medium and long haul flights has been the main driver for

the increasing C02 emissions within the industry (Peeters & Eijgelaar, 2014).

However, GHG emissions from international air travel are not included within the

Kyoto Protocol’s agreement for compulsory reduction of emissions (Becken, 2007).

Because of this, there is no need for any country, whether or not they have signed the

agreement to reduce their international air travel emissions (Becken, 2007). However,

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by 2050, it is expected that through future technologies and improved aircraft design

such as weight reduction and improved air transport management, a potential

emission reduction of some 20% by today’s standards will be achievable (Penner et al.,

1999).

Although aviation is not included in the Kyoto Protocol, within the EU, from 2012 the

EU-ETS has included all aircraft emissions from all flights to and from as well as within

the European Economic Area. The legislation, which was created in 2008, applies to

both EU operated and non-EU operated airlines (Albers, 2009).

Despite all this, little is known whether tourists are aware of how their travel

arrangements impact climate change as well as how climate change may also have an

impact on tourist destinations. As well as this, there has been a limited number of

research completed as to whether tourists would be willing to reduce their impacts to

mitigate such effects (Becken, 2004).

However, Bows et al (2009) reported that within the general public, climate change is

considered to be of low priority, with other issues such as the economy, health and

education and terrorism being of greater concern. This study also showed that in

recent years the interest levels of climate change have actually fallen with an

increasing number of people showing uncertainty about whether or not humans have

actually influenced climate change or not (Leiserowitz et al., 2010; Whitmarsh et al.,

2011).

1.1.3 The attitude-behaviour gap in sustainable tourism

Tourists generally have a positive attitude when it comes to the environment and

when asked do not wish to behave in ways that would damage it (Juvan & Dolnicar,

2014). However, when it comes to environmentally sustainable behavior, although

tourists generally have a positive attitude towards the environment this does not mean

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they are inclined to make environmentally sustainable holiday choices, therefore a

distinct attitude behavior gap exists on the subject of environmentally sustainable

tourism (Juvan & Dolnicar, 2014).

This behavior, also known as cognitive dissonance is the feeling of mental stress or

discomfort an individual feels when involved in situation’s that can provoke conflicting

attitudes, beliefs and behaviors (Festinger, 1962). For example as shown in Juvan and

Dolnicars (2014) study, tourists know that tourism causes environmental damage,

however they are not willing to sacrifice their own satisfaction to ‘do good’.

A considerable number of studies investigating the attitude behaviour gap in tourism

have identified some of the following most common excuses declared by tourists:

- No alternatives to current behaviour, more important issues to worry about

(Becken, 2007)

- Maintaining the belief that just like everyone else, they deserve to escape real

world stress and indulge in relaxation (Wearing et al., 2002)

- Blaming corporations or businesses for not being informative enough during

the selection process about environmental or socio-economic impacts (Juvan &

Dolnicar, 2013)

- Purchasing carbon off-sets, or behaving in an environmentally friendly way at

home (Becken, 2007)

- Believing that technological advance has reduced their impact enough for them

to travel to where they please and how they like (Gossling et al., 2009)

- Arguing that a single person or trip will make a noticeable difference (Gossling

et al., 2009).

Another study concluded to discover that 66% of UK tourists found causing minimal

environmental damage whilst overseas important (Goodwin & Frances, 2003).

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Additionally, according to Boulstridge & Carrigan (2000), price, quality and

convenience are still the most important factors for tourists when choosing a holiday.

1.2 The Winter Sports Industry

The impact of climate change is potentially harsh on the winter sports industry,

according to Patrick O’Donnell, Chief Executive of Aspen Skiing Company ‘’Climate

change is the most pressing issue facing the ski industry’’, (WTO & UNEP, 2008).

Around the world, the winter sports industry heavily relies on reliable snow conditions

in order to attract tourists to their destinations. As a large tourism sub-sector, the ski

industry is particularly vulnerable to changing climate conditions (Dawson & Scott,

2013; Scott & McBoyle, 2006). These include increasing average temperature, extreme

weather events and seasons that are becoming ever more unpredictable (Dawson &

Scott, 2013). For example Breiling et al. (1997), found that climate change related

impacts in low elevation resorts in Austria could result in an annual winter tourism

revenue loss of around 10%, this equates to around 1.5% of Austria’s GDP.

However the industry is attempting to come up with solutions to combat this, these

include, artificial snow making, business diversification and weather derivatives, a

financial solution that can be used to hedge against the likelihood of weather related

losses (Hopkins, 2013).

Although snow-making was not originally meant to mitigate the effects of climate

change, and was bought into for the primary reason of increasing the number of

skiable days thus raising the resorts viability compared to competing resorts, it is now

being used to guarantee snow as the weather gets warmer (Hopkins, 2013).

Snowmaking is now an important part of maintaining snow conditions in some low

altitude resorts and an important strategy from a business perspective to mediate

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climate change and prolong ski seasons for increased profit revenue (Scott et al.,

2003). However, there are also financial and geographical limitations to snowmaking.

Snow making machines are surprisingly energy efficient; however, with an estimated

cost of £5 per cubic metre, running the machines for extended periods is expensive

(English, 2014). Ski resorts employing the use of snowmaking will also need a reliable

source of water and consistent energy supply in order to produce an adequate amount

of snow to prolong their season and to make a noticeable difference to the snow

quality (Hopkins, 2013).

For example, a paper investigating artificial snowmaking as a technical adaptation to

climate change, Scott et al. (2003) employed the use of a range of climate change and

global warming scenarios suggested by IPCC to estimate average ski season length in

its case study area of Ontario, Canada. Scott et al. (2003) estimated that by using

current snowmaking technologies, an estimated 7% to 32% reduction in the average

ski season length in central Ontario would occur by 2050.

Stakeholders have a crucial part to play in the future of the ski industry against climate

change as well as whether snowmaking plays a larger role in the future of ski resorts or

not. Stakeholders in the ski industry include business’s that support the ski resort such

as rental shops, restaurants and accommodation facilities, industries that supply ski

equipment, employees, shareholders, tourists and community members. Although

snowmaking may aid in mitigating climate change effects in some scenarios, it doesn’t

work for all of them, as was found in a recent study that aimed to investigate the range

of different stakeholder perceptions within New Zealand’s ski industry through in-

depth interviews (Hopkins, 2013).

If it gets too much warmer they wouldn’t be able to make snow, because they can’t

always make snow up here anyway, they can’t just say “oh we’ll just turn the snow-

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makers on for 100 days a season” because it doesn’t work. (Events Manager – IP2)’,

(Hopkins, 2013).

The importance of stakeholder perceptions has until now received little attention in

academic research, however, these perceptions are critical and can affect the use of

snowmaking which aids in changing a skier’s expectations of a ski season duration and

early season opening which therefore means an unsustainable business model

(Hopkins, 2013).

2. AIMS AND OBJECTIVES

2.1 Aim:

The aim of this investigation is to determine how tourism, with a focus on the ski

industry can affect climate change, and whether tourists perceptions on climate

change and their effects on the environment influence their decision making process

when it comes to booking ski holidays.

2.2 Objectives:

a. Build an understanding of sustainable tourism and how important it is to them

b. Identify and discuss the attitude behavior gap between sustainable tourism and

unsustainable tourism

c. Explore tourists views on snowmaking as a response to climate change

d. Investigate and discuss willingness to pay voluntary offset schemes in the

tourism industry

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3. METHODOLOGY

3.1 Questionnaire Design

To meet the aim of the investigation a questionnaire was designed with both open and

closed questions, producing a varied data set of both quantitative and qualitative data.

Comment sections were also strategically included after specific questions for the

respondents to express any further ideas or opinions they had in the preceding

question.

The first completed questionnaire was used to conduct a pilot study with. Pilot studies

are an important step to an accurate final investigation as it allows any potential

problems or complications to be identified (Davies, 2007). However, they are also used

to pretest the main questionnaire that may or may not reveal any weaknesses in the

questions or areas where they may fail due to wording or not being specific enough

(Teijlingen et al., 2001).

Due to the nature of the investigation, there was no specific target audience. By using

both general tourism and sustainability based questions and winter sports industry

specific questions, a broad range of people were able to answer the questionnaire,

including those who do not participate in winter sports, as well as obviously those who

do.

Standardized Likert-type scales were used to compile the respondent’s level of

agreement with certain statements or questions (Wade, 2006).

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3.2 Questionnaire Administration

Surveymonkey was used to input the questionnaire and collect the data. Social media

was the main administrative vessel, primarily Facebook, due to its accessibility and the

scope of varying demographic of people that use it and will likely see the survey

advertised. Friends, family, university societies and independent organisations such as

BASI (British Association of Ski Instructors) were the dominant respondents.

3.3 Data Analysis

Between 03/11/2014 and 06/01/2015, 114 participants answered the survey. After

importing raw, numerical and combined data sets from Surveymonkey, additional

spreadsheets in excel were created to separate qualitative and quantitative data

allowing a cleaner, and more elementary data analysis process to take place.

Qualitative data was analyzed using a deductive approach as it was a small part of the

questionnaire and only compromised of one question at the beginning. This involves

using the research questions to group the data and look for differences or similarities.

In order to define qualitative data sets more accurately topics were created using key

words or phrases from the respondent’s answers, ‘carbon, green, economy, and

climate change’, for example were then drafted into cells in Excel and then the

responses were collaborated with the most suitable heading. This process started out

with a multitude of different headings, allowing each of the respondent’s answers to

be as accurately as possible categorized. After this, similar categories such as ‘carbon

neutral’ and ‘low carbon’ were grouped together to clarify the qualitative data more

collectively. Due to varying knowledge amongst the participants, a single respondent

had the potential to fill many, if not in some rare cases, all of the criteria. Importantly

all of the respondent’s answers must be categorized objectively and not subjectively,

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as well as coding each of the responses to the most accurate category, if need be

creating many, and from that point combining similar answers.

IBM SPSS Statistics was used to create both a cross tabulation tables as well as using

descriptive stats to find correlation for specific questions. Crosstab tables were also

applied with conditional formatting, such as heat mapping, to highlight data trends.

The software was also used to determine correlation using Spearman’s rank test.

Participants who didn’t complete the survey and had filled out questions at the start

but not Gender, Age and Education’s responses had to be removed.

4. RESULTS & DISCUSSION

The following section consists of the study’s findings as well as drawing upon existing

relevant literature to compare and open discussion.

4.1 Survey Respondents

Table 4.1.1 shows the country of residence of the survey respondents by world region.

As expected, given the distribution of the survey, the majority of responses were

received from UK residents.

Country Respondents Percentage of 114

UK 89 78%

Rest of Europe 17 15%

North America 3 2.6%

Central America 2 1.8%

Australia & Oceania 1 0.8%

Middle East 1 0.8%

Asia 1 0.8%

Figure 4.1.1 – Country of residence for survey respondents

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4.2 Importance and perceptions of Sustainability

In a series of three questions, tourists were asked about sustainability. The first

question asked ‘Do you consider sustainability to be important to you?’. The second

question asked participants to define what they thought the term ‘sustainable tourism’

meant in an open response. The final question asked how important being sustainable

was on holiday.

4.2.1 General importance of sustainability

Results (see figure 4.2.1.1) represent how the participants viewed sustainability in

general. The most common response ‘Somewhat important’, gained 33 responses

whilst ‘Very important’ gained 32. Out of the two ‘extremes’ of responses, ‘Extremely

important’ gained more responses at 29 compared to 5 in ‘No not at all important’,

slightly important gained 11 responses. Although ‘Don’t know / Unsure’ may have

been an easy option for participants unsure of what the term ‘sustainability’ perhaps

means, it gained the least responses with 4.

Don't know / unsure

Not at all important

Slightly important

Somewhat important

Very important

Extremely important

0 5 10 15 20 25 30 35

Respondents

Impo

rtan

ce

Figure 4.2.1.1 – General importance of sustainability

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A statistical test (Spearman’s rank) was used to determine if there was any correlation

between ‘Do you consider sustainability to be important to you?’ and Age, however

there was no significant correlation found. (n = 107 p = .406 rs = - 0.081). (See

Appendix A).

4.2.2 - Proposed meanings of Sustainable Tourism

Participants were asked in an open-ended response what they thought sustainable

tourism meant. Comments were coded in an objective approach, respondents answers

who were alike were categorized under the same heading. However, because some

respondent’s answers had the potential to fill out many existing categories, there are

more options (127) than respondents (90), however, percentage has been calculated

from the number of respondents (see figure 4.2.2.1, next page). Once answers had

been accounted for objectively, categories were combined in a subjective approach.

For example, categories such as ‘Carbon Neutral/Low Carbon’, ‘Climate change or

Carbon’ and ‘Climate change’, were deemed similar so were merged into the same

category of ‘Climate change or Carbon’.

Sustainable tourism was defined by many (80%) of the participants to be

environmental related. With most not knowing enough about the subject, but making

a general reference to keywords such as ‘green’, ‘eco’ and ‘low impact’ was the most

popular category with 42 responses. 23 respondents suggested that they thought

sustainable tourism meant managing the environment, whether this was evaluating

environmental cost, maintaining the environment long term or having some sort of

responsibility. ‘Future’ was used to include respondents definitions who thought the

term meant caring for the environment so that future generations could enjoy it, or

using resources sparingly so future generations could have the same opportunities as

those who do now, 9 responses defined it as this. 8 respondents thought the term

meant having only a positive impact on the environment or ‘geography’.

23

8 respondents suggested that the term meant either accounting for and adapting to

climate change, or managing their carbon footprint. 3 respondents thought sustainable

tourism meant implementing some form of ‘alternate’ transport.

Content Analysis

All Respondents(n=90)

# (%)

Environment 72 (80%)

General reference to the environment 42

Environmental Management 23

Future 9

Positive impact 8

Climate change or Carbon 8

Alternate transport 3

Economic 40 (44%)

Sustainable business practice (Prolonging tourism) 27

Positive impact 8

Reduced holiday cost 4

Future 1

Social 15 (17%)

Conserve socio-cultural aspects (Heritage & historic sites) 8

Not affecting communities (Long-term awareness) 8

Positive social contribution 6

Future 2

Don’t know / Unsure 4 (4%)

Mitigation (Reducing tourism) 3

44% of respondents defined sustainable tourism, among other categories with relation

to the economy. 27 respondents answers suggested ‘Sustainable business practice’,

Figure 4.2.2.1 – Content Analysis, Participants definitions of Sustainable Tourism

24

which included attracting more tourists, prolonging tourism, providing for the

economy long term and maintaining tourism was sustainable tourism. Having a

positive impact on the economy was suggested as the definition, or included by 8

respondents. 4 respondents assumed that sustainable tourism was reducing the cost

of the holiday, or cost of travelling. One respondent defined addressing the future

needs of the economy as sustainable tourism. Social aspects were included in 17% of

respondent’s answers. An equal number (8) suggested that sustainable tourism was

conserving socio-cultural aspects of the built environment, such as historic sites,

cultural significance and the heritage of the area, whilst the others thought it meant

not affecting the communities they were visiting and respecting the land around them.

A smaller number (6), thought slightly differently, suggesting that not only should they

not affect communities and land, but also they should aid in improving them. Meeting

the needs of future social requirements received 2 responses. 4 were unsure how to

answer the question. Mitigation or reducing tourism was seen as being the best

definition of sustainable tourism to 3 respondents.

Azapagic et al., (2005) found similar findings in their study in an international survey of

sustainable development perceptions in engineering students. Key findings suggested

that students thought sustainable development was important for future generations

rather than for current generations (Azapagic et al., 2005). Crucially, the study also

found that most students related sustainable development to environmental aspects

like participants did in this survey, albeit on ‘sustainable tourism’, however a significant

knowledge gap existed in social and economic aspects of sustainable development

(Azapagic et al., 2005). Similarly, a study to assess conceptions of sustainable

development in student teachers (Summers et al., 2004), found similar findings in that

a large proportion (87%) related sustainable development to environmental aspects.

Participants related economic (69%) and social (49%) aspects less so, with about a

third highlighting all three factors (Summers et al., 2004).

25

A third study looking at dissonance in students perceptions of sustainable

development found that students, like the above studies and this study, strongly relate

environmental aspects of sustainable development more so than economic and social

aspects (Kagawa, 2007). Evidently, the general conception is that sustainable

development is largely based on the environmental dimension, while social and

economic aspects are marginal.

4.2.3 Importance of sustainability on holiday

Figure 4.2.3.1 asked how participants felt about sustainability whilst on holiday.

Compared to fig 4.2.1.1 the participant’s responses are more dispersed across the

range of possible selections provided. ‘Somewhat important’ gathered the greatest

selection at 39, with ‘Very important’ collecting 29 and ‘Slightly important’ 17. ‘Not at

all important’ collected 20 responses. Both selections at the far end of the question

‘Extremely important’ and ‘Don’t know / unsure’ gathered the same number of

responses at 7.

Don't know / unsure

Not at all important

Slightly important

Somewhat important

Very important

Extremely important

0 5 10 15 20 25 30 35 40 45

Respondents

Impo

rtanc

e

Figure 4.2.3.1 – Importance of sustainability on holiday

26

Spearman’s rank correlation coefficient was also used here for ‘Is sustainability

important to you whilst on holiday?’ and Education. However, similar to previous

results, no significant correlation was found. (n=107 p=0.86 rs= -0.167). (See Appendix

B).

4.2.4 Comparison of sustainability at home and sustainability on holiday

For the purpose of this particular representation of data and to allow clearer

interpretation, Q2 originally, ‘Do you consider sustainability to be important to you?’ is

now ‘Sustainability at home’. Similarly, Q4 originally ‘As a tourist, is how sustainable

you’re being and your environmental impact of importance to you whilst on holiday?’ is

now ‘Sustainability on holiday’.

Results shown in the crosstab (figure 4.2.4.1, next page) show correlation in the

participant’s answers in the two sustainability questions. Conditional formatting was

used to identify significant patterns in the data. The most popular category for these

questions was the response ‘Somewhat Important’, with 18 participants selecting this

for both sustainability at home and sustainability on holiday. 13 participants thought

sustainability at home was very important, compared to thinking sustainability on

holiday was ‘somewhat important’. Interestingly, 7 people thought sustainability at

home was ‘somewhat important’, but thought sustainability on holiday was ‘not at all

important’.

27

Sustainability at home

Total

Extremely important

Very important

Somewhat important

Slightly important

Not at all important

Don't know / unsure

Sust

aina

bilit

y on

hol

iday

Extremely important

6 1 0 0 0 0 7

Very important

14 8 1 0 0 1 24

Somewhat important

6 13 18 2 0 0 39

Slightly important

1 6 6 4 0 0 17

Not at all important

1 2 7 4 5 1 20

Don't know / unsure

1 2 1 1 0 2 7

Total 29 32 33 11 5 4 114

Figure 4.2.4.2 (next page) combines both fig 4.2.1.1 and fig 4.2.3.1 to compare the

difference of sustainability at home (Q2) and sustainability on holiday (Q4) among

respondents. The general trend shows that on holiday, people do not care as much

about sustainability. The largest significant difference is between ‘Extremely

important’ with a difference of 22 between sustainability at home at 29, and

sustainability on holiday at 7. ‘Not at all important’ also had a significantly larger gap

with 20 respondents answering that sustainability on holiday is not important while

only 5 said it was not at all important at home. 7 respondents were unsure whether or

not, to them, sustainability mattered on holiday, compared to 4 respondents who

were unsure whether it mattered at home, a difference of just below 55%.

Figure 4.2.4.1 – Comparison of Sustainability at home & Sustainability on holiday

28

Don’t know / Unsure

Not at all important

Slightly important

Somewhat important

Very important

Extremely important

0 5 10 15 20 25 30 35 40 45

Sustainability on holiday Sustainability at home

Respondents

Sign

ifica

nce

Juvan & Dolnicar (2014) also discovered a similar attitude behavior gap in their study,

participants displayed a caring attitude towards the environment; however, when

challenged as to why sustainability matters less on holiday, they became

uncomfortable and gave excuses. Similarly the findings seen in fig 4.2.4.2 clearly

indicate similar values from the participants of this study with sustainability on holiday

taking a back seat to perhaps allow for a more ‘care free’ holiday. Juvan & Dolnicar

(2014), concluded to agree that ‘tourists who engaged in environmentalism when at

home were unaware of the consequences of tourism in general on the environment’,

although this study doesn’t reveal whether or not participants are unaware of this, it

does reveal that whilst on holiday they are certainly less inclined to care about

sustainable practices. As discussed cognitive dissonance is the discomfort that is

caused by two contradicting beliefs. Although not categorically asked in this survey,

the theory can certainly be applied to the context of sustainable tourism within certain

data sets such as Figure 4 (Juvan & Dolnicar, 2014).

Figure 4.2.4.2 – Direct comparison of Sustainability on holiday & Sustainability at home

29

4.3 Voluntary fee for Sustainable Tourism policies

This question asked participants whether they would be prepared to pay a voluntary

fee on top of the cost of their holiday to ensure sustainable tourism policies could be

implemented.

4.3.1 Willingness to pay

In total, 67 out of 114 or 58.7% of participants answered this question ‘No’ (figure

4.3.1.1). However, 46 out of 114 or 40.4% answered that they would be willing to pay

the fee.

Yes No0

10

20

30

40

50

60

70

80

Response

No. o

f res

pond

ents

A crosstab (see next page, figure 4.3.1.2), was created to show correlation between

the answer that participants gave for ‘Sustainability on holiday’, and whether they

were willing to pay for offset schemes. As seen, the most popular category was

‘Somewhat important’, 16 participants who selected this said they would be willing to

pay a voluntary fee, compared to 22 who selected the same level importance but

wouldn’t be willing to pay. 10 participants, who deemed sustainability on holiday ‘very

important’, said they would not be willing to pay, compared to 14 who said they would

Figure 4.3.1.1 –Willingness to pay for voluntary offsets

30

be. Surprisingly, out of the 7 participants who selected ‘extremely important’, only 2

said they would be willing to pay a voluntary fee, compared to 5 who said they

wouldn’t, these results matched ‘Don’t know / unsure’. Out of 17 participants who

selected ‘slightly important’ 7 said they wouldn’t pay a voluntary fee, compared to 10

who said they would. Out of 20 participants selecting ‘sustainability on holiday’ as ‘Not

at all important’ unsurprisingly 18 said they wouldn’t be willing to pay a voluntary fee,

compared to 2 who said they would.

Sustainability on holidayTotalExtremely

importantVery

importantSomewhat important

Slightly important

Not at all important

Don't know / unsure

Willingness to pay voluntary fee

No 5 10 22 7 18 5 67

Yes 2 14 16 10 2 2 46

Total 7 24 39 17 20 7 114

Once again, a Spearman’s rank correlation coefficient was used to identify correlation

between Willingness to pay and Age, however, no significant correlation was found

(n=107 p=0.195 rs=0.126). (See Appendix C).

Higham et al., (2014) are noted for describing tourism as an environmentally

destructive industry due to the greenhouse emissions associated with both tourism

and global mobility. Participants were asked form Norway, Australia, Germany and the

UK to take part in their survey. It was discovered that according to the participants of

the survey, ‘offsetting’ was considering too abstract, suggesting that not enough

information is given on where the money would be going (Higham et al., 2014).

Additionally, in light of figure 4.3.1, the consensus among participants was that very

few travelers purchased voluntary offsets (Higham et al., 2014).

Figure 4.3.1.2 – Willingness to pay and Sustainability on holiday comparison

31

Some respondents were also asked to give feedback as to why they don’t purchase

voluntary offsets: ‘Perhaps if somebody showed me – of your daily living you're using

the equivalent of a year's worth to travel there, that's a huge amount, maybe that

would make me rethink. Maybe. I've never seen anything that tells me that’. Another

participant simply stated, ‘I don’t think we get enough information’ (Higham et al.,

2014).

By using a subjective approach, it is assumed that to a majority of the participants,

‘sustainable tourism policies’, most likely meant carbon offsetting. Among the 41

voluntary offsetting schemes currently in circulation in the aviation industry (Gossling

et al., 2009), carbon offsetting is the most heard of and accessible (i.e. when booking

flights). Comments selected from this study also suggest the same ‘Carbon offsetting

you mean? Controversial’. Carbon offsetting works by attempting to ‘neutralize’

emissions by paying for the consumption of one process in an industry and then

compensating a more often than not ‘sustainable’ industry sector such as renewable

energy (Gossling et al., 2009). However, as seen, the legitimacy and transparency that

carbon offset providers grant is questionable, with criticism often originating from the

media (Gossling et al., 2007).

Higham et al., (2014) also addresses the issues surrounding offset schemes, also

suggesting that transparency and legitimacy issues are of main concern. Broderick,

(2008) is also noted for saying that a large majority view carbon offsetting as skeptical

and uncertain as well as supporting past research that emphasizes the skepticism and

distrust associated which such voluntary offset schemes. Another participant in

Higham’s et al. (2014) survey was noted for saying the following: ‘You don’t really

know where the money goes, like, what are they being used to?... People don’t really

know what they pay to and when they do they’re not sure – so its abit of mixed

information’.

32

Similar comments were also made in this study in the optional comment box

underneath ‘Would you pay a voluntary fee?’:

- ‘If I was told exactly where the money was being spent’.

- ‘I would, but it would be extremely hard unless you were shown exactly where

the extra money went and saw the changes actually happening for everyone to

see its effect’.

- ‘Because I wouldn’t trust the true value of it and suspect companies would

mostly benefit financially at a cost to the environment’.

- ‘Would be skeptical of its effectiveness’.

Carbon offsetting as a means to smooth over the cracks of a guilty conscience due to

excessive traveling is comparable to that of cognitive dissonance associated with the

attitude behavior gap, with one participant addressing the flaw in voluntary schemes

‘it’s a way of buying conscious, but we have to change attitude’, (Higham et al., 2014).

Another study undertaken by Becken, (2007) subjected volunteers to three policy

scenarios on air travel, this being voluntary initiatives, air travel taxes and a carbon

budget. Participants argued that voluntary initiatives do not work and do not result in

any reduction in GHG emissions, similar to the comments found in this survey and

Higham et al., (2014), (Becken, 2007). Additionally, a small number of tourists also

suggested that they did not feel responsible for the emissions generated by air travel,

joking about other ways of travel such as swimming or sailing (Becken, 2007). Becken,

(2007) notes that this kind of defensive behaviour can be interpreted as ‘internal

‘dissonance’.

Interestingly however, the findings of this study discern that of Gossling’s et al., (2009)

study. Conclusively, the study suggests that ‘the broad majority of air travelers do not

seem aware of carbon offsetting as a means to reduce the environmental impacts of

33

aviation’, (Gossling et al., 2009) suggesting that if travelers were made aware of such

schemes they would be more inclined to pay the voluntary costs. Alternatively, some

participants whether they are aware of the effects of such schemes or aware of

schemes in the first place think it is the providers, operators or airlines fundamental

responsibility to cover the cost of sustainable policies and offset schemes as well as

delivering more accessible information on GHG emissions Higham et al., (2014). Similar

comments were also seen in this study with one participant commenting: ‘Operators

should take responsibility for ensuring it is covered for everyone within their costs’.

However, as previously seen even when given the option of technically any sustainable

tourism policy or offset scheme that may help protect or improve the environment,

participants answering ‘no’, significantly outnumbered the quantity of participants

who answered ‘yes’.

4.3.2 – Voluntary amount offered

This question was only available if the participant had selected ‘Yes’ in the previous

question. The given question was ‘How much extra would you be willing to pay as a

percentage of the initial holiday cost? With an example of the base cost of a holiday

being £500, 19 participants selected that they would pay between 1-5% on top of the

initial or between £505 and £525 (See figure 4.3.2.1, next page). 18 selected that they

would pay an extra 5-10% or £535 - £550. However only 8 selected that they would

pay between 10-15% or an extra £550-£575. Increasing optional pay scales were also

included between 15-25% (£575-£600), 20-25% (£600-£625) and more than 25%

(£625+), however nobody selected these options. It’s important to note that in fig 123

there are a total of 46 respondents in the ‘yes’ selection, however in fig 4321 there are

only 45, this is due to there being no percentage value displayed in the imported data.

34

1-5% 5-10% 10-15%0

2

4

6

8

10

12

14

16

18

20 1918

8

Percentage

Resp

onde

nts

4.4 Environmental Issues

For this set of results, the formula =average was used in excel on the numeric given by

Surveymonkey. For example, 1 was ‘Very serious problem’ and 5 ‘Not at all a problem’,

therefore the lower the average the more important the issue. ‘Don’t know / Unsure’

was excluded.

Water pollution was the voted the most serious issue among participants with an

average of 2.02 (See figure 4.4.1, next page). Depletion of natural resources had an

average of 2.06. Loss of biodiversity had an average of 2.09. Shortages of freshwater

had a calculated average of 2.16. Air pollution averaged at 2.31. Climate change was

third from the bottom, with an average of 2.41, deeming it somewhere between a

serious problem and reasonably serious problem. Vehicle emissions averaged at 2.49

and Ozone layer depletion was the least serious for participants with an average of

2.55.

Figure 4.3.2.1 – Voluntary amount offered

35

Ozone layer depletion (Layer that absorbs UV radiation)

Vehicle emissions

Climate change

Air pollution

Shortages of freshwater

Loss of biodiversity (Reduction of wildlife)

Depletion of natural resources

Water pollution

0 0.5 1 1.5 2 2.5 3

Somewhat similar to the findings of this study, Brulle et al., (2012), found that Climate

change consistently ranks at the bottom of public concern in national surveys in the

United States. More recently, a study involving 1002 people funded by the Universities

of Cardiff and Nottingham discovered that although 88% of participants believe the

climate is changing, an all-time low of just 18% are concerned about it (Gosden, 2015).

4.5 Climate Change Perceptions

4.5.1 Participants perception on Climate Change

The first of a series of more specific questions shown in Figure 4.5.1.1 (next page)

asked the participants ‘On the subject of recent climate change (from around 1950

onwards), please select the statement below that best describes what you think’. 43%

of participants concluded that climate change was due to human activity alone, where

as 42% thought that climate change was the result of both human activity and natural

factors such as volcanoes etc. However, only 12% thought that natural factors were

the only reason the climate was changing and humans did not effect it. 2% of the

participants thought that the world’s climate is not changing, and 1% did not know.

Figure 4.4.1 – Environmental issues importance among participants

36

43%

42%

13%

2% 1%

The world's climate is changing, where this is largely due to human activities (e.g. greenhouse gas emissions)

The world's climate is changing, where this is due to both human activities (e.g. greenhouse gas emissions) and natural factors (e.g. vol-canoes, sunspot cycles)

The world's climate is changing, where this is largely due to natural factors (e.g. volcanoes, sunspot cycles)

The world's climate is not changing

Don’t know / Unsure

A similar study by Nisbet & Myers (2007) that complied surveys administered over 20

years showed how people’s opinions had changed on climate change over time. Figure

4.5.1.2 (next page) shows similar results to Figure 4.5.1.1, with participants in both

studies acknowledging that climate change is not solely due to human activity, but

through natural causes as well. Similarly, the questions were formatted so the

participants were given the choice of selecting the statement they agree with the

most, the question asked was as follows: ‘Every time we use coal or oil or gas, we

contribute to the greenhouse effect’, (Nisbet & Myers, 2007). Results are shown on the

next page.

Figure 4.5.1.1 – Participants perceptions on Climate Change

37

4.5.1.2 - Level of agreement (Greenhouse effect)

01/1994 – 05/1994 02/2000 – 05/2000

Definitely true (%) 14 18

Probably true (%) 47 44

Probably not true (%) 21 19

Definitely not true (%) 4 5

Can’t choose (%) 14 15

N 2992 2817

(Nisbet & Myers, 2007)

The study also asks participants whether or not they believe in global warming:

‘How convinced are you that global warming or the greenhouse effect is actually

happening – would you say that you are completely convinced, mostly convinced, not

so convinced, or not convinced at all?’. Results are shown below:

4.5.1.3 - Convinced by greenhouse effect

06/05 09/05

Completely convinced (%) 23 23

Mostly convinced (%) 36 33

Not so convinced (%) 24 22

Not convinced at all (%) 16 17

No opinion (%) 2 4

N 1002 1019

(Nisbet & Myers, 2007)

Another more recent study looking at climate change perceptions in Wales asked the

same question in this study about whether climate change arose from human activity,

natural processes, or a combination of both. 52% of respondents agreed that climate

38

change arose from a combination of both, with 35% considering it was due to human

activity and 11% stating that climate change was due to natural processes (Capstick et

al., 2013). Beliefs about the degree to which climate change is caused are somewhat in

line with findings of this study with the most common viewpoint being that the cause

of climate change is a mixture of both human and natural processes. The study also

suggested that the public’s perception of climate change fluctuates over time, in line

with the findings of Nisbet & Myers (2007) study.

Kempton (1991) identified four aspects to public perceptions on climate change. The

first was that participants commonly linked or mistook climate change for ozone layer

damage. Second, they confused greenhouse gases with other pollutants in the

troposphere. Third, participants assumed that because of increasing CO2 levels, global

oxygen levels would decrease due to the absorption process in photosynthesis. Finally,

participants related unusual weather events such as hot summers and cold winters to

climate change. However, according to Henry (2000), since this study was undertaken

the public are better informed about what climate change is. Similarly, a study

undertaken by Becken (2004) found that tourists were moderately educated about

climate change, however like participants in Kempton’s (1991) study tended to confuse

it with other environmental problems (see also Lorenzoni & Pidgeon, 2006; Stoll-

Kleemann et al., 2001).

A study by Brulle et al., (2012) in the United States found that climate change and

environmental issues consistently rank at the bottom of public concern. Conclusively,

Brulle et al., (2012) discovered that media coverage of climate change could

significantly influence the public’s perception of its importance as well as quantity in

which it is distributed, in line with Becken’s (2007) study that agreed the discourse

surrounding climate change such as media has an important role in influencing public

perception. Clearly, the media, political and governmental environment are the single

biggest influencers on the public’s perception of climate change, as was also found by

39

McDonald (2009), ‘When elites disagree, polarization occurs, and citizens rely on other

indicators, such as political party or source credibility, to make up their minds’, which

coincidentally, is the case for climate change.

4.6 Winter Sports questions results

4.6.1 Winter Sports Qualifying question

Participants were asked if they had been on a winter sports holiday in the last 3 years.

By answering yes to this question, participants were able to access ski industry specific

questions and participants who answered ‘no’ skipped the ski industry section. 83%

answered ‘yes’ 17% answered ‘no’.

93

19

Yes No

Figure 4.6.1.1 – Winter sports qualifying question

40

4.6.2 – Winter Sports Disciplines

Figure 4.6.2.1 represents the winter sports activity which respondents took part in.

Skiing was the most popular winter sports activity with 74 participants selecting it.

Snowboarding was the second most popular with 31 participants selecting it. Cross-

country skiing and ‘other’ both collected 5 responses. Activities categorized under

‘other’ include snowmobiling, snowshoeing, photography and mountaineering. It is

important to note that due to some respondents have multiple winter sports

disciplines, there are more than 114 responses (the total number of responses for the

whole survey).

Snowboarding Skiing Cross-country skiing Other0

10

20

30

40

50

60

70

80

Activity

Resp

onde

nts

4.6.3 – Frequency of winter sports holidays

Figure 4.6.3.1 (next page) displays the frequency participants went on a winter sports

holiday. Interestingly, 38 out of 88 participants or 43% said that they went on a winter

sports holiday more than twice per year. 27 out of 88 went on winter sports holidays

once per year with 12 participants going twice per year. 7 participants went on a

winter sports once every two years and only 4 less than once every two years.

Figure 4.6.2.1 – Winter sports disciplines

41

More than twice per year

Twice per year Once per year Once every two years

Less than once every two years

0

5

10

15

20

25

30

35

40

Frequency

Resp

onde

nts

4.6.4 – Participants who have been on a Winter Sports Holiday to more than one

location

Aiming to identify how many participants had visited more than one location for a

winter sports holiday, 58% had been to more than one location. 42% had only been to

one (Figure 4.6.4.1).

Participants who had been to more than one loca-tion

Participants who had only been to one location0

10

20

30

40

50

60

Resp

onse

s

Figure 4.6.3.1 – Frequency of winter sports holidays

Figure 4.6.4.1 – Participants who had been on a winter sports holiday to more than one location

42

4.6.5 – Most frequented country

Europe was the most frequented country with 90 participants selecting it (Figure

4.6.5.1). N.America received 29 responses. 19 participants had visited Canada. 15

participants had visited New Zealand. S.America only received 4 visitors. Australia and

Japan had an equal number of visitors (3). S.Korea and Scandinavia only received 1

response. There are more than 114 responses because as seen previously in fig312

58% of participants had been to more than one location.

Scandinavia

S. Korea

Australia

Japan

S. America

NZ

Canada

N. America

Europe

0 10 20 30 40 50 60 70 80 90 100

Responses

Coun

try

4.6.6 – Factors of importance when choosing a holiday destination

Participants were asked what they considered the most important factors when

choosing a destination for their winter sports holiday (See results, figure 4.6.6.1 next

page). For this set of results, the formula =average was used in excel on the numeric

given by Surveymonkey. For example, 1 was ‘Very important’ and 5 ‘Not at all

important’, therefore the lower the average the more important the factor. Reliability

of snow cover was voted the most important factor, having the lowest average of 1.6.

Resort size & quality was the second most important with an average of 1.8. Cost of

trip had an average of 2.1. Quality of accommodation & facilities had an average of 2.3.

Figure 4.6.5.1 – Most frequented country

43

Location had an average of 2.4. Location had an overall average of 2.4. Due to there

being 5 responses, factors with an average of higher than 2.5, were ‘overall’ less

important, such as Living costs when there and Word of mouth / recommendation

from friends and family with an equal average of 2.6. Becoming less important, where

family or friends are going had an average of 3.1. The sustainability of the resort

unsurprisingly was deemed slightly less than moderately important with an average of

3.2. Travel distance had an average of 3.2. The sustainability of the accommodation

and facilities, surprisingly however was more important to participants than Nightlife,

with an average of 3.2 compared to 3.3.

Night life (Apres Ski)

The sustainability of the accommodation & facilities

Travel distance from home to destination

The sustainability of the resort

Where family or friends are going

Word of mouth / recommendation from friends and family

Living costs when there

Location (country / region / mountain range)

Quality of accommodation & facilities

Cost of trip (travel, accommodation, ski pass)

Resort size & quality (e.g. variety of runs, lifts etc.)

The reliability of snow cover

0 0.5 1 1.5 2 2.5 3 3.5

Figure 4.6.6.1 – Factors of importance when choosing holiday destination

44

4.6.7 – Perceptions on the current impact of climate change on the length of the

natural ski season

In a two-part question, participants were asked if they thought the impact of climate

change is already having an impact on the length of the natural ski season (see figure

4.6.7.1) and whether they thought it would have an impact in the future or not

(section 4.6.8, next page). A majority, or 57%, participants thought that climate change

was having an impact on the length of the natural ski season. Interestingly however,

35% participants thought that climate change does not have an impact on the length

of the ski season. 8% participants thought that climate change was set to increase the

length of the natural ski season.

31

7

51

The natural snow ski season is not changing as a result of climate change

The natural snow ski season is increas-ing in length as a result of climate change

The natural snow ski season is reducing in length as a result of climate change

Figure 4.6.7.1 – Perceptions of current impact of climate change on length of the natural ski season

45

4.6.8 – Perceptions on whether the impact of climate change will have an effect on ski

season length in the future

70% of participants agreed that in the future, the length of the natural snow ski season

is likely to decrease as a result of climate change. 22% said the length of the natural ski

season is not likely to be affected by climate change, while 8% said the length of the

natural ski season would increase.

20

7

62

The length of the natural snow ski season is not likely to be affected by climate change in the futureIn the future, the length of the natu-ral snow ski season is likely to in-crease as a result of climate changeIn the future, the length of the natu-ral snow ski season is likely to de-crease as a result of climate change

Figure 4.6.8.1 – Perceptions on whether impact of climate change will have an effect on ski season length in the future

46

4.6.9 - Comparison of climate change impacts now, and in the future responses

The following results (figure 4.5.9.1) aim to compare the responses participants gave

for the previous two questions. Q14 is current effects on ski season length; Q15 is

effects on ski season length in the future. Due to the length of the given responses,

numbers have been allocated as follows:

Q14:

1. The natural snow ski season is not changing as a result of climate change

2. The natural snow ski season is increasing in length as a result of climate change

3. The natural snow ski season is decreasing in length as a result of climate change

Q15:

1. The length of the snow ski season is not likely to be affected by climate change

in the future

2. In the future, the length of the natural snow ski season is likely to increase as a

result of climate change

3. In the future, the length of the natural snow ski season is likely to decrease as a

result of climate change

1 2 3

1 17 1 2 202 5 2 0 73 9 4 49 62

31 7 51 116

Q14Total

Q15

Total

Numeric 3 was the most common duplet of responses from participants, stating that

climate change is decreasing the length of the natural ski season now and will continue

to do so in the future. Surprisingly, numeric 1 was the second most common

combination, stating that the ski season and length of it is not changing due to climate

change.

4.6.10 - Comparison of artificial and natural snow

Figure 4.5.9.1 – Comparison of climate change impacts now and in the future responses

47

Participants were asked whether they could tell the difference between artificial and

natural snow and whether they preferred it to natural snow (figure 4.6.10.1).

Evidently, a majority of respondents (77%) said they could tell the difference between

artificial and natural snow, saying they preferred natural snow. 17% of respondents

said that they could tell the difference, but there is no difference in the quality of

experience they have. A small proportion (6%) said they could not tell the difference

between natural and artificial snow. Predictably, not one participant said that they

preferred artificial snow to natural snow.

Yes - I can tell the difference - natu-ral snow is better than artificial snowYes - I can tell the difference - BUT there is no difference in the quality of the experience on natural or arti-ficial snowYes - I can tell the difference - arti-ficial snow is better than natural snowNo - I cannot tell the difference be-tween natural and artificial snow

4.6.11 - How should artificial snow be used?

Figure 4.6.10.1 – Comparison of artificial and natural snow

48

A Likert type scale response was used to compile level of agreement data. Participants

were asked to select their level of agreement to the statements shown in the results

below (see fig 4.6.11.1). Using the numeric given (such as 1 matched ‘strongly agree’

and 2 ‘agree’, etc), the average was found for each of the statements given. The

formula =1/ was then used to show the true level of importance, i.e. reversing the

data. A rank method was then used on these to identify the overall level of agreement

for each statement.

As seen, a majority of respondents strongly agreed that artificial snow should be used

in high traffic areas to maintain the snow base and accessibility. The next most popular

response was to use artificial snow in low altitude areas to prolong the ski season

towards the end. Next, participants voted that artificial snow should be used to extend

the length of the natural ski season and continue to attract winter sports tourists.

Second from the bottom, participants said they’d like to see artificial snow being used

to extend the season in spring. The least popular use for artificial snow among

participants was to open the resort earlier in the Autumn/Fall.

Artificial snow should be used to allow the ski season to be opened earlier in the Autumn/Fall.

Artificial snow should be used to extend the ski season later in the Spring.

The use of artificial snow is a sustainable way to extend the length of the natural snow season and to continue to attract winter sports tourists

Artificial snow should be used in low altitude areas, so that a prolonged snow base can be guaranteed in these locations during the end of the season.

Artificial snow should be used in high traffic areas to maintain the snow base and accessibility.

0 1 2 3 4 5 6

Level of importance

Resp

onse

4.6.12 - Negative effects associated with using artificial snowFigure 4.6.11.1 – How should artificial snow be used?

49

A large proportion (61) said they think that using artificial snow has negative effects,

while only 27 respondents thought that using it caused no negative effects (figure

4.5.12.1).

Yes No0

10

20

30

40

50

60

70

4.6.13 - Willingness to visit resort if large proportion of snow was artificial

Participants were asked how willing they would be to visit a resort if they knew it was

largely artificial snow (see 4.6.13.1, next page). A considerable number of tourists (31)

said they would be much less inclined. An equal number of tourists (25), said they

would either be somewhat less inclined, or where neither more nor less inclined. 6

respondents said they would be somewhat more inclined, perhaps due to the

possibility of guaranteed snow cover. Surprisingly, 1 respondent said they would be

more inclined to visit the resort, again, surprising considering in fig 4.6.10.1 no one

suggested they prefer artificial snow to natural snow.

Figure 4.6.12.1 – Negative effects associated with using artificial snow

50

More inclined

Somewhat more inclined

Neither more or less inclined

Somewhat less inclined

Much less inclined

0 5 10 15 20 25 30 35

As seen, participants in this study were asked whether they could differentiate

between artificial snow and natural snow, a majority voted that natural snow is better,

with the second highest voting that there is no difference, and even less saying there

was no difference. However, not one participant agreed that artificial snow is better

than natural snow. As previously mentioned, snow making machines are being used to

mitigate the effects of climate change in low-lying resorts. Scott & Dawson (2007),

agree that due to the large investment in artificial snow making over the last 25 years,

the vulnerability of some resorts has been delayed until at least mid-century. Artificial

snowmaking was also discovered to be surprisingly efficient albeit expensive (English,

2014), contrary to what participants and perhaps winter tourists in general think, as

was discovered in the optional comment section at the end of these questions:

- ‘Imagine it is energy intensive’

- ‘Waste of water and energy!’

- Fuel use

- Unnecessary increased carbon footprint

Figure 4.6.13.1 – Willingness to visit resort if large proportion of snow was artificial

51

- A lot of energy is used making artificial snow

- Uses a lot of resources

Some of those who left comments seemed aware of the consequences of using it as a

means of technical adaptation to climate change; however, others suggested that they

would rather not see it used as much, while some agreed it could be used to sustain

local resorts:

- ‘Artificial snow cannot be used to extend the season, but it can assist it I think’

- ‘To help sustain the local economy and the health and wellbeing of sedentary

tourists make snow but be aware of the costs’

- ‘Different types of artificial snow. Some use chemicals, which then run off into

the water table with possible negative consequences’

- ‘If I've fork(ed) out lots of money to only ride artificial snow I'll be ragin'

4.6 General Information

4.6.1 - Gender of participants

38% of participants were female; where as 62% of participants were male.

Male Female

Figure 4.6.1.1 – Gender of participants

52

4.6.2 - Age range of participants

A majority of participants were aged between 16 – 24 (42). 18 participants were aged

between 25 – 34 and 17 participants were aged between 35 – 44. An equal number of

participants were aged between 45 – 54 and 55 – 64 (15), (see figure.

16 - 24 25 - 34 35 - 44 45 - 54 55 - 640

5

10

15

20

25

30

35

40

45

4.6.3 - Level of Qualifications

An undergraduate degree was held by a majority of the participants (51). 28

participants held a postgraduate degree. 16 Participants held an A level or BTEC. 5

Participants held a GCSE / O level. 6 participants would rather not say, and 1 held no

formal qualifications (See results, 4.6.3.1).

Postgraduate Degree

Undergraduate Degree

A Level / BTEC

GCSE / O Level

No formal qualifications

Rather not say

0 10 20 30 40 50 60

Figure 4.6.3.1 – Level of Qualifications

Figure 4.6.2.1 – Age range of participants

53

5. CONCLUSIONS

This paper primarily focuses on tourism and climate change with a focus on the ski

industry as a prime example, supplemented by a detailed analysis of the attitude

behavior gap that lies within sustainable tourism and means of technical adaptation to

climate change. Building upon similar and past research investigations of climate

change, cognitive dissonance, tourism and the winter sports industry, the paper aims

to mediate an understanding of public perception on sustainable tourism and

investigate whether technical adaptation can be used to mitigate the effects of climate

change. Additionally it has been discovered that tourists are generally unwilling to aid

in sustainable development, stating they feel skeptical and unsure of voluntary offset

schemes as well as feel unaccountable for the emissions impacts they have in

travelling.

For example, perceptions on climate change fluctuate over time as seen in numerous

papers throughout this study. Ultimately leading to the public ceasing to act against

climate change. Voluntary carbon offsetting for example, is viewed as skeptical and

uncertain by many, part in due to widespread criticism from the media and lack of

information. Brown & Fraser (2006) suggest that what they call the business case,

which builds on neoclassical economics, generally favours a voluntary approach. The

data collected in this paper, as well as the synthesis of data from other topically similar

papers fits in well with this idea, as there are no defined policies for environmental

tourism and sustainable development. Additionally, it was suggested that it is the

tourism industry, operators and airlines responsibility to define and implement

environmental sustainability, suggesting that it is not required of the tourist, or

consumers to be environmentally aware (Nilsen & Ellingsen, 2015). Conveniently, for

the consumer at least, this ties in with Juvan & Dolnicar’s (2014), study that sought to

investigate attitudes towards sustainability. It proved that although consumers care

about the environment and the impact they have whilst on holiday, they are not

54

willing to make sacrifices in order to protect it, and become uncomfortable and

defensive at the thought of doing so.

Conclusively, and as is stated throughout this paper, people generally care about the

environment and do not wish to harm it, however are not willing to make sacrifices in

their own lives in order to preserve it for future generations. People are also less

concerned about being sustainable on holiday, perhaps due to their belief of a shifting

of responsibility when they leave their country, awarding that responsibility to travel

providers and large corporates. Voluntary offset schemes, such as carbon offsets are

seen as ‘skeptical’ and ‘untrustworthy’, further distancing tourists from the concept of

sustainable travel. The theory of cognitive dissonance and the psychological

dimensions of tourists do, and will continue to have a mitigating effect on the progress

of sustainable development and travel. Until factors such as climate change, voluntary

offset schemes, and sustainability in general are made more transparent, more

available, and more up to date, the public and tourists will continue to feel alienated

from the concept of sustainable travel and development.

6. REFERENCES

Adler, N., Martini, G. and Volta, N. (2013) 'Measuring the environmental efficiency of the global aviation fleet'. Transportation Research Part B: Methodological, 53 pp.82-100.

Albers, S., Bühne, J. and Peters, H. (2009) 'Will the EU-ETS instigate airline network reconfigurations?’. Journal of Air Transport Management, 15(1) pp.1-6.

Azapagic, A., Perdan, S. and Shallcross, D. (2005) 'How much do engineering students know about sustainable development? The findings of an international survey and possible implications for the engineering curriculum'. European Journal of Engineering Education, 30(1) pp.1-19.

Becken, S. (2004) 'How Tourists and Tourism Experts Perceive Climate Change and Carbon-offsetting Schemes'. Journal of Sustainable Tourism, 12(4) pp.332-345.

55

Becken, S. (2007) 'Tourists' Perception of International Air Travel's Impact on the Global Climate and Potential Climate Change Policies'. Journal of Sustainable Tourism, 15(4) pp.351-368.

Boulstridge, E. and Carrigan, M. (2000) 'Do consumers really care about corporate responsibility? Highlighting the attitude—behaviour gap'. Journal of Communication Management, 4(4) pp.355-368.

Bows, A., Anderson, K. and Upham, P. (2009) Aviation and climate change. New York: Routledge.

Bramwell, B. and Lane, B. (2000) 'Tourism Collaboration and Partnerships - Politics, Practice & Sustainability'. Aspects of Tourism 2.

Breiling, M., Charamza, P. and Skage, O. (1997) 'Klimasensibilität österreichischer Bezirkemit besonderer Berucksichtigung des Wintertourisms'. Department of Landscape Planning Alnarp, Swedish University of Agricultural Sciences.

Broderick, (2008) 'Voluntary carbon offsets - a contribution to sustainable tourism?’

Brown, J. and Fraser, M. (2006) 'Approaches and perspectives in social and environmental accounting: an overview of the conceptual landscape'. Bus. Strat. Env., 15(2) pp.103-117.

Brulle, R., Carmichael, J. and Jenkins, J. (2012) 'Shifting public opinion on climate change: an empirical assessment of factors influencing concern over climate change in the U.S., 2002–2010'. Climatic Change, 114(2) pp.169-188.

Burns, P. and Bibbings, L. (2009) 'The end of tourism? Climate change and societal challenges'. Twenty-First Century Society, 4(1) pp.31-51.

Byrd, E. (2007) 'Stakeholders in sustainable tourism development and their roles: applying stakeholder theory to sustainable tourism development'. Tourism Review, 62(2) pp.6-13.

Capstick, S., Pidgeon, N. and Whitehead, M. (2013) 'Public perceptions of climate change in Wales: Summary findings of a survey of the Welsh public conducted during November and December 2012.’ Climate Change Consortium of Wales, Cardiff.

Chapman, L. (2007) 'Transport and climate change: a review'. Journal of Transport Geography, 15(5) pp.354-367.

Davies, M. (2007) Doing a successful research project. Basingstoke [England]: Palgrave Macmillan.

Dawson, J. and Scott, D. (2013) 'Managing for climate change in the alpine ski sector'. Tourism Management, 35 pp.244-254.

Drexhage, J. and Murphy, D. (2010) Sustainable Development: From Brundtland to Rio 2012. [Online] New York. [Accessed on 17 April 2015]

56

http://www.un.org/wcm/webdav/site/climatechange/shared/gsp/docs/GSP1-6_Background%20on%20Sustainable%20Devt.pdf.

Dunfee, R. (2012) The Ski Industry Lobby for Climate Change. POWDER Magazine. [Online] [Accessed on 18 April 2015] http://www.powder.com/stories/climate-change-politics/#TecZDQ51iVS5ubhL.97.

English, C. (2014) Why snow machines are cold comfort as the Alps warm. The Guardian. [Online] [Accessed on 9 April 2015] http://www.theguardian.com/science/2014/nov/07/snow-climate-change-effect-on-skiing.

Festinger, L. (1962) 'Cognitive Dissonance'. Sci Am, 207(4) pp.93-106.

Freeman, R. and McVea, J. (1984) 'A Stakeholder Approach to Strategic Management'. SSRN Journal, p.46.

Goodwin, H. and Francis, J. (2003) 'Ethical and responsible tourism: Consumer trends in the UK'. Journal of Vacation Marketing, 9(3) pp.271-284.

Gosden, E. (2015) 'Britons believe in climate change... but do they care?’ [Online] The Telegraph. [Accessed on 17 April 2015] http://www.telegraph.co.uk/news/earth/environment/climatechange/11375124/Britons-believe-in-climate-change...-but-do-they-care.html.

Gössling, S. (2002) 'Global environmental consequences of tourism'. Global Environmental Change, 12(4) pp.283-302.

Gössling, S., Broderick, J., Upham, P., Ceron, J., Dubois, G., Peeters, P. and Strasdas, W. (2007) 'Voluntary Carbon Offsetting Schemes for Aviation: Efficiency, Credibility and Sustainable Tourism'. Journal of Sustainable Tourism, 15(3) pp.223-248.

Gössling, S., Haglund, L., Kallgren, H., Revahl, M. and Hultman, J. (2009) 'Swedish air travellers and voluntary carbon offsets: towards the co-creation of environmental value?’ Current Issues in Tourism, 12(1) pp.1-19.

Gössling, S., Hall, C. and Weaver, D. (2008) Sustainable Tourism Futures. Hoboken: Taylor & Francis.

Henry, A. (2000) 'Public Perceptions of Global Warming'. Research in Human Ecology.

Higham, J., Cohen, S., Cavaliere, C., Reis, A. and Finkler, W. (2014) 'Climate change, tourist air travel and radical emissions reduction'. Journal of Cleaner Production.

Hopkins, D. (2013) 'The sustainability of climate change adaptation strategies in New Zealand's ski industry: a range of stakeholder perceptions'. Journal of Sustainable Tourism, 22(1) pp.107-126.

Hsieh, H. and Kung, S. (2013) 'The Linkage Analysis of Environmental Impact of Tourism Industry'. Procedia Environmental Sciences, 17 pp.658-665.

57

IPCC, (2014) Climate Change 2014. Impacts, Adaptation & Vulnerability. [Online] Intergovernmental Panel on Climate Change. [Accessed on 17 April 2015] https://ipcc-wg2.gov/AR5/images/uploads/WG2AR5_SPM_FINAL.pdf.

IPCC, (2014) Detection and attribution of observed impacts. Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. [Online] Cambridge: Cambridge University Press, pp.979-1037. [Accessed on 19 April 2015] http://www.ipcc.ch/pdf/assessment-report/ar5/wg2/WGIIAR5-Chap18_FINAL.pdf.

Jamal, T. and Getz, D. (1995) 'Collaboration theory and community tourism planning'. Annals of Tourism Research, 22(1) pp.186-204.

Juvan, E. and Dolnicar, S. (2013) 'Can tourists easily choose a low carbon footprint vacation?’ Journal of Sustainable Tourism, 22(2) pp.175-194.

Juvan, E. and Dolnicar, S. (2014) 'The attitude–behaviour gap in sustainable tourism'. Annals of Tourism Research, 48 pp.76-95.

Kagawa, F. (2007) 'Dissonance in students' perceptions of sustainable development and sustainability'. Int J of Sus in Higher Ed, 8(3) pp.317-338.

Kempton, W. (1991) 'Public understanding of global warming'. Society & Natural Resources, 4(4) pp.331-345.

König, U. (1998) Tourism in a warmer world.

Leiserowitz, A., Maibach, E., Roser-Renouf, C. and Smith, N. (2010) CClimate Change in the American Mind: Americans' Global Warming Beliefs and Attitudes in June 2010. Yale University and George Mason University. New Haven, CT: Yale Project on Climate Change Communication. [Online] [Accessed on 17 April 2015] http://www.climatechangecommunication.org/images/files/ClimateBeliefsJune2010(1).pdf.

Liu, Z. (2003) 'Sustainable Tourism Development: A Critique'. Journal of Sustainable Tourism, 11(6) pp.459-475.

Lorenzoni, I. and Pidgeon, N. (2006) 'Public Views on Climate Change: European and USA Perspectives'. Climatic Change, 77(1-2) pp.73-95.

McDonald, S. (2009) 'Changing climate, changing minds; applying the literature on media effects, public'. Int J Sustain Commun, 4 pp.45-63.

Moen, J. and Fredman, P. (2007) 'Effects of Climate Change on Alpine Skiing in Sweden'. Journal of Sustainable Tourism, 15(4) pp.418-437.

Nilsen, H. and Ellingsen, M. (2015) 'The power of environmental indifference. A critical discourse analysis of a collaboration of tourism firms'. Ecological Economics, 109 pp.26-33.

58

Nisbet, M. and Myers, T. (2007) 'The Polls Trends: Twenty Years of Public Opinion about Global Warming'. Public Opinion Quarterly, 71(3) pp.444-470.

Peeters, P. (2007) 'THE IMPACT OF TOURISM ON CLIMATE CHANGE'.

Peeters, P. and Eijgelaar, E. (2014) 'Tourism's climate mitigation dilemma: Flying between rich and poor countries'. Tourism Management, 40 pp.15-26.

Penner, J., Lister, D., Griggs, D., Dokken, D. and McFarland, M. (1999) Aviation and the Global Atmosphere. Summary for Policymakers. [Online] IPCC. [Accessed on 17 April 2015] https://www.ipcc.ch/pdf/special-reports/spm/av-en.pdf.

Sautter, E. and Leisen, B. (1999) 'Managing stakeholders a Tourism Planning Model'. Annals of Tourism Research, 26(2) pp.312-328.

Scott, D. and McBoyle, G. (2006) 'Climate change adaptation in the ski industry'. Mitigation and Adaptation Strategies for Global Change, 12(8) pp.1411-1431.

Scott, D., McBoyle, G. and Mills, B. (2003) 'Climate change and the skiing industry in southern Ontario (Canada): exploring the importance of snowmaking as a technical adaptation'. Clim. Res., 23 pp.171-181.

Sharpley, R. (2014) 'Host perceptions of tourism: A review of the research'. Tourism Management, 42 pp.37-49.

Stoll-Kleemann, S., O’Riordan, T. and Jaeger, C. (2001) 'The psychology of denial concerning climate mitigation measures: evidence from Swiss focus groups'. Global Environmental Change, 11(2) pp.107-117.

Summers, M., Corney, G. and Childs, A. (2004) 'Student teachers’ conceptions of sustainable development: the starting-points of geographers and scientists'. Educational Research, 46(2) pp.163-182.

Trawöger, L. (2014) 'Convinced, ambivalent or annoyed: Tyrolean ski tourism stakeholders and their perceptions of climate change'. Tourism Management, 40 pp.338-351.

UNFCC, (2015) Kyoto Protocol. [Online] [Accessed on 22 March 2015] http://unfccc.int/kyoto_protocol/items/2830.php.

Upham, P., Thomas, C., Gillingwater, D. and Raper, D. (2003) 'Environmental capacity and airport operations: current issues and future prospects'. Journal of Air Transport Management, 9(3) pp.145-151.

Van Teijlingen, E. and Hundley, V. (2002) 'The importance of pilot studies'. Nursing Standard, 16(40) pp.33-36.

Viner, D. and Agnew, M. (1999) Climate Change and Its Impacts on Tourism. [Online] Climatic Research Unit, University of East Anglia. [Accessed on 17 April 2015] http://www.wwf.org.uk/filelibrary/pdf/tourism_and_cc_full.pdf.

59

Wade, V. (2006) Likert-Type Scale Response Anchors. Clemson International Institute for Tourism & Research Development, Department of Parks, Recreation and Tourism Management: Clemson University.

Wearing, S., Cynn, S., Ponting, J. and McDonald, M. (2002) 'Converting Environmental Concern into Ecotourism Purchases: A Qualitative Evaluation of International Backpackers in Australia'. Journal of Ecotourism, 1(2-3) pp.133-148.

Whitelegg, J. and Williams, N. (2000) The Plane Truth: Aviation and the Environment. London: Transport 2000 & The Ashden Trust.

Whitmarsh, L., O’Neill, S. and Lorenzoni, I. (2011) 'Climate change or social change? Debate within, amongst, and beyond disciplines'. Environ. Plann. A, 43(2) pp.258-261.

World Tourism Organisation, (2003) Climate Change and Tourism. Proceedings of the 1st International Conference on Climate Change and Tourism Djerba, Tunisia.

WTO & UNEP, (2008) Climate Change and Tourism. Responding to Global Challenges. [Online] Madrid: World Tourism Association & United Nations Environment Programme, pp.67-69. [Accessed on 22 March 2015] https://books.google.co.uk/books?id=C_4gBTp-ioYC&pg=PA68&lpg=PA68&dq=value+of+global+ski+industry&source=bl&ots=XwRZ_ktT3w&sig=6LdXQorZaAZ7O60npLXLGDwrCDo&hl=en&sa=X&ei=7rMOVYOSC4PhaJzKgYAC&ved=0CCEQ6AEwAA#v=onepage&q=value%20of%20global%20ski%20industry&f=false.

7. ACKNOWLEDGEMENTS

First and foremost, I would like to thank my project supervisor Dr. Rachel Dunk.

Without her assistance, patience and dedicated involvement, this research project

would have more than likely never reached satisfactory completion.

I would also like to thank the statistics drop in lecturers on a Wednesday afternoon in

C1.01.

60

8. APPENDICES

Appendix A: Correlation between ‘Do you consider sustainability to be important to you?’ and Age.

Do you consider

sustainability to be

important to you?

Age

Spearman's

rho

Do you consider

sustainability to be

important to you?

Correlation Coefficient 1.000 .016

Sig. (2-tailed) . .872

N 107 107

Age

Correlation Coefficient .016 1.000

Sig. (2-tailed) .872 .

N 107 107

Appendix B: Correlation between ‘Is sustainability important to you whilst on holiday?’ and Education

Is sustainability

important to you

whilst on holiday?

Education

Spearman's

rho

Is sustainability

important to you

whilst on holiday?

Correlation Coefficient 1.000 -.167

Sig. (2-tailed) . .086

N 107 107

Education

Correlation Coefficient -.167 1.000

Sig. (2-tailed) .086 .

N 107 107

Appendix C: Correlation between ‘Would you be willing to pay a voluntary offset fee?’ and Age.

Would you be willing

to pay a voluntary

offset fee?

Age

Spearman's

rho

Would you willing

to pay a voluntary

offset fee?

Correlation Coefficient 1.000 .126

Sig. (2-tailed) . .195

N 107 107

Age

Correlation Coefficient .126 1.000

Sig. (2-tailed) .195 .

N 107 107

61

62