PARK VISITORS VS SEASIDE TOURISTS IN MAREMMA
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Transcript of PARK VISITORS VS SEASIDE TOURISTS IN MAREMMA
PARK VISITORS VS SEASIDE TOURISTS IN MAREMMA
Salvatore Bimonte
University of Siena, Italy
Department of Economics and Statistics
A REVISED AND MORE DETAILED VERSION OF THIS PAPER HAS BEEN PUBLISHED ON
THE EUROPEAN JOURNAL OF TOURISM RESEARCH
ABSTRACT
This study investigates and discusses the controversial question of whether or not the
alternative tourist, in particular the nature-based tourist (NBT), posses, as it is put forward in
its definition, an inherent ability to produce more positive (or less negative) socio-cultural,
environmental and economic impacts on host communities and destinations in comparison to
other kinds of tourist. To address such an issue the paper develops a comparative analysis
between two types of tourist based on an a priori segmentation, that is the nature-based
tourists and the beach tourists. Data were simultaneously collected by means of a
questionnaire at two sites located in the Maremma, each specific to the typology of tourist
investigated. Tourists were segmented using an activity-based method. The research confirms,
on one side, some of the findings of other studies concerning the market profile of nature
tourist, and, on the other, that nature tourist, compared to the beach tourist, has more positive
impact both from the socio-economic and natural point of view. Three main innovative
findings, concerning the relationship between income, education and personal commitments,
and the typology of tourist one belongs to, are discussed at the end.
Keywords: nature-based tourist, comparative study, social and economic impact, willingness
to pay.
INTRODUCTION
Tourism is surely among the fastest growing industries in the world and one of
the most important engines for local economic growth. However, it may (and in
fact has) provoke(d) problems and controversies. The many problems triggered
by "mass" tourism has led many authors and observers to criticize the traditional
method of making tourism and to call for an “alternative” tourism (Brohman,
1996; Weaver, 1991; Butler, 1990; Dernoi, 1981), broadly defined as “forms of
tourism that are consistent with natural, social, and community values and which
2
allow both hosts and guests to enjoy a positive and worthwhile interaction and
shared experiences” (Smith and Eadington, 1995, p. 3).
One of the most debated and investigated form of alternative tourism is the
nature-based tourism1. According to the data, it represents a significant share of
the tourist industry and it is growing faster than other forms of tourism
(Nyaupane et al., 2004; IES, 2000; Lindberg, 1998). Moreover, alternative
forms of tourism in general, and nature-based tourism in particular, are supposed
to posses an inherent ability to produce more positive (or less negative) socio-
cultural, environmental and economic impacts on host communities and
destinations (Epler Wood, 2002, Wallace and Pierce, 1996; Silverberg et al.,
1996; Smith and Eadington 1995; Butler 1990; Ceballos-Lascurain, 1988),
especially if compared to other kinds of tourism segments (Jafari, 1990; Wight,
1993; Wallace and Pierce 1996).
Consistently, it is assumed that the alternative tourist comparatively grants
higher benefits to the economy, environment and culture of host communities.
In fact, according to the definition, the alternative tourist prefers small and
family run rather than large-scale facilities; shows a higher sensitivity with
respect to the natural and cultural resources; reveals a higher interest for local
and “green” products; engenders a greater multiplier effect (see Wurzinger and
Johansson, 2006; Macleod, 2003; Blamey and Braithwaite, 1997; Wight, 1996b;
1 Although conceptually different, the terms nature-based tourism and ecotourism have been interchangeably
used in the tourism literature. However, given the aim of the paper, we will not deal with definitional issues,
referring the interested reader to the plentiful literature on the argument (see Mehmetoglu 2000; Epler Wood,
2002; Wight, 2001; Meric, and Hunt, 1998; IUCN, 1993; Whelan, 1991).
3
Cazes, 1989). All these aspects justify the attention that the policy makers
recently devoted to these segment of tourist market (Butler, 1990).
In order to validate such issues, more empirical works of a comparative nature
are required, because the profiles, performances and attitudes of different tourist
segments at different sites should be tested rather than taken for granted.
Unfortunately, as noticed by Xiao and Smith (2006), a small number of
researches in tourism adopted a comparative approach and, as stated by
Hvenegaard (2002), most of them are based on a data-driven approach (a
posteriori segmentation)2, which gives rise to the problems evidenced by
Weaver (2002). This gap enlarges in the researches on the Nature-Based Tourist
(NBT).
In order to contribute to fill it, the paper develops a comparative analysis
between two types of tourist grouped according to an a priori and activity-based
approach: the tourists who, during their vacation in Maremma, visited the
Natural Park of the Maremma and the beach tourists who spent their holiday in
the surrounding area to enjoy the sea without visiting the park. The major goal
of the survey was to verify profiles and attitudes of tourists and test if and to
what extent their behavioral patterns depend on the typology of tourist one
belongs to (psychographic information) rather than on the socioeconomic
characteristics (enabling conditions à la Sen), as some economic theoretical
2 See Hvenegaard, and Dearden (1998) and Silverberg et al. (1996). A review of segmentation studies and
approaches may be found in Dolnicar (2004).
4
model show, for example those on the Environmental Kuznets Curve (see
Bimonte 2002; Magnani 2000).
DEFINING THE TYPOLOGIES OF TOURIST: THE BACKGROUND
Usually, alternative and mass tourist, as well as 3S (sea, sand, sun), have been
considered mutually exclusive and depicted in dichotomous term, with the
alternative tourist being considered the “good” option and the mass tourist the
“bad” one (Clarke, 1997). However, a more recent view challenges this
perspective and considers the alternative and the mass tourist as the poles of a
continuum, with no clear-cut boundary between the two in terms of “good” and
“bad” values assigned to each of them (Weaver, 2001; Acott et al., 1998). The
two implicit paradigms evoked by these alternative views are stuck in two
different reference frameworks: the good value as an inherent property of certain
types of tourist as opposed to the good value as a characteristic that none of the
existing forms of tourist inherently possesses, but a goal that all tourist must
strive to achieve.
The shift in attitudes towards tourism and the empirical evidence stress the fact
that a clear-cut boundary between typologies of tourist is difficult to imagine,
also because many, or even most, tourists involved in alternative tourism
activities are mass tourists (Weaver, 1999), and several forms of alternative
tourism, such as nature-based tourism, overlap with other forms of tourism,
including beach tourism (Weaver et al. 1998; Mehmetoglu, 2007). This makes
5
evident the necessity to single out a method to assign tourists to a specific
typology before going through any kind of investigation.
Hvenegaard (2002) defines four main empirical methods to classify tourists:
researcher-based, respondent-based, motivation-based and activity-based. In the
latter case the researcher defines the different varieties of tourist on the base of
the places visited and activities carried out.
According to the activity-based approach, the tourists who travel to nature areas
or destinations are considered NBT (see Holden and Sparrowhawk, 2002, Lang
and O’Leary, 1997). This does not mean that we should consider all nature-
based tourists as a homogeneous group (Wight, 2001). Various methods have
been proposed to differentiate between them: for example, Laarman and Durst
(1987) distinguishes between hard and soft nature tourists, whereas Lindberg
(1991) singles out four types of NBT, that is hard-core, dedicated, mainstream
and casual nature tourists, the latter being the tourist who partakes of nature as
part of a broader itinerary.
METHOD AND SAMPLE DESCRIPTION
Definition of the nature and the seaside tourist
In our analysis a nature-based tourist is a tourist who, during her vacation,
visited the Natural Park of the Maremma (casual nature tourist), whereas the
generic tourist is the seaside resort tourist, that is a tourist who spent her holiday
in the surrounding area to enjoy the sea without visiting the park. Due to the
6
characteristics that the phenomenon of beach tourism has in the Maremma, the
latter maybe considered as representative of the mass tourist. Although it would
deserve a deeper discussion, this is the usual affiliation made (Weaver, 2001).
The choice of these two specific types of tourist stems from the fact that during
their vacation, which occurs contemporaneously and in the same area, both
“consume” a natural resource of the territory, that is to say respectively the park
and the seaside. We could provocatively say that both are representative of a
nature-oriented tourist, though in these two forms of the tourist experience the
role of the natural resource and the way the tourist interacts with it are quite
different (Weaver, 2001).
Study site and data collection
The survey took place in summer, overlapping the peak visitation period both
for the park and the coastal area neighboring it. Located in Southern Tuscany,
the Maremma is a well-known seaside tourism destination. The Natural Park lies
in the middle of this area and it is now an important nature tourism destination.
In the last decade the visits increased from about 49,000 to about 80,000 paying
visitors a year. The park visitors represent more than 20% of the total tourist
arrivals in the area. However, the incidence is greater than 40% in October, 50%
in May and 60% in April.
Figure 1
7
Data were collected by means of a questionnaire. A total of 300 interviews were
conducted by trilingual interviewers following a systematic sampling procedure.
In order to collect the necessary data to test the hypothesis put forward in the
definition of NBT, two specific locations were chosen, each specific to the
typology of tourist investigated (Mehmetoglu, 2007; Weaver, 2002). Therefore,
150 nature tourists were selected and interviewed at the park gate, while the
seaside tourists were randomly selected in different typologies of
accommodations. The data analysis used the permutation chi-squared test of
association (χ2).
As for the seaside tourists, a set of accommodations was drawn by the list of all
the accommodations located in the reference area, split into three main
geographical sub-areas. These were stratified into two strata, mainly hotels and
the similar (like RTA), and camping and tourist villages. The first stratum was
successively stratified in two strata according to the class (number of stars), 1 or
2 vs 3 or 4. There is no 5 stars in the area. The way in which the sample was
obtained is reported in table 1. In order to consider day-trippers and owners of
second homes, interviews were also done on the beach with people who
declared that they fell into these categories.
Table 1
8
The methodology used (direct interviews) together with the pre-test allowed a
high return rate (about 95%), with no relevant differences between the two sub-
samples. Both typologies of tourists were asked to answer the same questions.
Since several forms of NBT overlap with other forms of tourism, including
beach tourism, seaside tourists were asked to answer one filter question in order
to exclude individuals who had visited the park.
RESULTS
Considering previous international research results (Epler Wood 2002; Wight
1996a; Boo 1990) and the lack of an unanimously shared operational framework
(Priskin, 2003; Smith and Eadington, 1995), and taking into account the
characteristics that are generally supposed to differentiate alternative forms of
tourist, the survey focused upon selected descriptive (socio-demographic)
characteristics together with variables of intentions (willingness) and outcomes
(actions), looking for stylized facts supporting the hypotheses put forward in the
definition of alternative tourist. Because of the nature of the study and the lack
of unanimously accepted quantitative indices, tourists were compared in terms
of intensity with respect to the selected features rather than with respect to any
selected indicators.
The statistical analysis of data confirms that nature tourists are older, more
educated, more affluent, and employed in more professional occupations. No
specific findings emerged regarding the duration of the vacation and the travel
9
organizers. With respect to the latter, the journey was mainly self-organized.
The relevant results are presented in tables 2 and 3.
Tables 2 and 3
Data also confirm the others hypotheses. In fact, the park visitors display a
greater sensitivity towards the environment quality, being more concerned about
pollution than crime and unemployment. The latter is a relevant problem in
Europe and represents the main concern for seaside tourists. However, a high
percentage of both typologies of tourist (100% vs 84%) thinks that, others things
being equal, the environmental quality positively impacts on the individual’s
welfare. We would then expect that that the environmental quality influence the
consumer choices and the prices they are willing to pay for certain goods
(hedonic price theory).
In order to evaluate such issue, the tourists were asked to answer to some
questions on a hypothetical purchase. The first referred to the purchase of a
home in a park area3. Unlike the seaside tourists, the park visitors would be more
eager to purchase it (85% vs 31%), having the possibility to do so and knowing
the restrictions connected with such ownership. Other things being equal,
respondents were eager to pay a higher price for such a purchase. In effect, a
high percentage of those interested in such a purchase would be willing to pay a
3 This is an increasing phenomenon in some regions (Buckley, 2003).
10
higher price (66% vs 58%)4. According to the theory of consumer choice people
are expected to choose the alternative that generates the higher level of utility. It
confirms that the environmental quality is a source of welfare for these tourists.
The different environmental sensitivity is also proved by the greater interest that
nature tourists have for local, such as PDO (Protected Designation of Origin),
PGI (Protected Geographical Indication), TSG (Traditional Specialty
Guaranteed), etc, and/or organic products. They declare that a trademark
certifying the local and/or the organic nature of the product or, in general, the
respect of rules for the protection of the environment would influence their
choice and stimulate their expenditure. For such products or service, they would
be more inclined to pay a higher price.
Whenever respondents indicate their choices in hypothetical scenarios, it is
crucial to test whether the stated choices approximate actual choices. In our
survey factual evidence on the actual spending patterns of interviewed is
consistent with the importance that respondents declared they give to quality
trademarks. The park visitors devote a higher percentage of their daily
expenditure to the purchase of local and environmentally friendly products that
actually cost more than generic products. Although this is confined to those
tourists with a higher daily expenditure (>54$), the test highlights that
expenditure for typical products is related with the typology of tourist one
4 This is consistent with the theory of Lancasterian demand (Lancaster, 1966). It is worth warning that we are
moving within a context of stated preference.
11
belongs to (p-value<.002). This implies that park visitors generate a stronger
demand for local products in absolute terms.
The demand of local products causes more equitable economic growth, due to
the widespread network of small and medium enterprises that production
involves and to their greater multiplicative impact. Since the economic
multiplier is negatively related to the propensity to import, the demand for
locally produced goods engender a greater economic impact on the destination.
By sustaining typical products, one may also preserve the landscape and cultural
traditions.
STYLIZED FACTS
Three main innovative findings are worth noting. The survey reveals a strong
relationship (p-value<.0001) between the variables “income” and “visit to the
park”. Although conceptually and practically different, this result is consistent
with one of the most debated theoretical hypotheses in environmental
economics, i.e. the Income Elasticity Hypothesis. According to this hypothesis,
the demand for nature increases more than proportionally with respect to
income, that is the environment, in the broadest meaning of the term, represents
a luxury good. In the case of a luxury good, the curve of Engel, that is the curve
that shows the relationship between the demand for a good and the income level,
all other things being equal, is not linear and the demand for the good increases
more than proportionally with respect to income. The non-linearity of the curves
12
of Engel implies that when income varies, while maintaining unvaried the prices
of goods, the composition of the basket of purchased goods varies.
In the same fashion, one detects a strong relationship (p-value<.0001) between
level of education and visitors to the park. This means that, income being equal,
the park visitors have a higher level of education. Once again, although
conceptually different and aware of the improper use of the concept, education
being in se a discrete variable, we are inclined to take this piece of evidence as a
sort of Education Elasticity Hypothesis.
Finally, as for the seaside tourists, the research confirms that the sympathy for
certain goals does not translate into acceptance of costs and sacrifices that actual
application may entail (Butler 1998). But this is not true for the park visitors
who are less willing to delegate and more disposed to personally commit in
order to reach a common objective. The interest exists for the seaside tourists
but it ceases to do so when faced with a request for direct commitment. To resort
to a more rigorous economic language, one can say that for the latter the
externalities are potentially-relevant but not Pareto-relevant (Buchanan and
Stubblebine 1962)5.
5 An externality is defined as potentially relevant when the activity, to the extent that it is performed, generates
any desire on the part of the externally benefited (damaged) party (A) to modify the behaviour of the party
empowered to take action (B). An externality which, to the extent that it is performed, exerts no such influence is
defined as irrelevant (Buchanan and Stubblebine, 1962, p. 201-202). However, the simple desire to modify the
behavior of another party does not necessarily imply the ability to translate this desire into practice. An
externality is defined to be Pareto-relevant when the extent of the activity may be modified in such a way that
the externally affected party (A) can be made better off without the acting party (B) being made worse off.
13
CONCLUDING REMARKS
Although aware of its limits, due to the data collecting and sampling procedure,
the present research contributes to fill the gap existing in the literature on the
NBT. In fact, even though different forms of segmentation studies in tourism
exist (Bonn et al. 2005; McKercher, 2001; Kashyap and Bojanic, 2000; Baloglu
and McCleary, 1999), and some analyses have been carried out on the
association between typologies of alternative tourist and conservation
motivations (Lou and Deng, 2007), and/or economic and social impacts
(Aylward, and Lutz, 2003, Taylor et al., 2003, Wallace and Pierce, 1996;
Lindberg et al., 1996), to the author’s knowledge, no such systematic research in
Italy, and no simultaneous comparative analysis based on an a priori
segmentation, has been documented so far in the literature on NBT6.
The findings of this study have significant implications, both from a theoretical
and practical point of view. The first implication relates to the socio-
demographic profile and the attitude of the NBT. The research confirms that the
nature-based tourist is older, more educated, more affluent, and employed in
more professional occupations compared with the other typologies of tourist
(Mehmetoglu, 2007; Wurzinger and Johansson, 2006; Priskin 2003; Epler Wood
2002; Hvenegaard and Dearden 1998; Meric and Hunt, 1998; Silverberg et al.,
1996), in our case the seaside resort tourist. She displays a greater sensitivity
towards the environment, in its various facets; prefers small and family run
6 Only Wurzinger and Johansson (2006) carried out a similar investigation but with a different methodology.
14
rather than large-scale facilities; reveals a higher interest for local and “green”
products; engenders a greater multiplier effect (Wurzinger and Johansson, 2006;
Macleod, 2003; Blamey and Braithwaite, 1997; Wight, 1996b; Cazes, 1989).
According to the statistical tests, these aspects mainly depend on the typology of
tourist one belongs to rather than on their socio-demographic and economic
characteristics. This has an interesting theoretical implication, because it
highlights the strong role played by psychographic information in understanding
tourist behavior.
The study also highlighted some innovative aspects that, to the author’s
knowledge, were not investigated in other studies. The data analysis evidenced a
strong relationship between income, education and demand for nature. It also
proved that nature-based tourists have a greater multiplier effect. What is worthy
nothing is that in the present research it was demonstrated that this is true
irrespective of the daily expenditure. In fact, other studies carried out on such
issues have generally restricted themselves to analyzing the willingness to pay
and the average daily expenditure of the different categories of tourists.
However, as should already be quite clear, an equal daily expenditure can have a
completely different impact on local socio-economic systems and on the
environment of that local system, dictating prospect for more or less beneficial
outcomes. We think that the latter aspect and the interaction of the tourism with
other economic sectors should be better investigated.
15
As a concluding remark, we would like to stress a final point. In fact, as
Mehmetoglu (2007), we are aware that not all tourists visiting nature-based
resources can be considered nature-based tourists from a motivational
perspective. But we are also convinced that the latter cannot be the only criterion
for defining them. Moreover, according to the more recent tendency, while a
distinction between forms of tourism is feasible, much more difficult is to
discriminate between forms of tourist, since tourists are normally engaged in
different activities during their multi-purpose vacation. According to Weaver,
many if not most soft ecotourism participants are mass tourists engaged in such
activities as a part of a broader vacation (Weaver, 2001, p. 78). This is exactly
our case. Notwithstanding, the research demonstrated that, irrespective of the
typology of vacation, those tourists who were engaged in nature-oriented
activities, in our case the park visitors, display a completely different behavior
and attitudes compared to those who were not, that is the seaside tourists.
These findings should not be overlooked. They suggest that, if managed
carefully, nature-based tourist resources can positively contribute to local
development, in its natural, economic and social dimensions. This aspect,
together with the incidence and the even distribution of nature tourist flows,
must not be undervalued, because it represents a useful support for a tourist
policy having the objective of de-seasonalizing tourist activity, and spurring the
expenditure and the relative economic effect on the territory, rather than the
growth of attendance as an end in itself.
16
To conclude, although we concur with those authors who maintain that it would
be wrong to consider alternative forms of tourist as a panacea (Butler 1990,
Brockelman and Dearden 1990; Butler, 1990; Cohen, 1987), still the survey
confirms that, at least for the Maremma, they have comparatively good potential
to produce more positive economic, social and environmental impact at the local
level. Therefore, the very political bet for local planners would be to modify the
attitude and the behavior patterns of all typologies of tourist.
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Table 1. N° of accommodation selected and n° of interviewed tourists divided by geographical area
and typology of accommodation
Geographical areas
Typology Principina a Mare
Marina di Grosseto
Castiglione della Pescaia
Punta Ala
Talamone
Fonteblanda
Hotel and RTA (1 and 2 stars) 1 (3) 1 (3) 1 (3)
Hotel and RTA (3 and 4 stars) 2 (9) 6 (25) 2 (7)
Camping, Residences, Tourist
Villages
3 (21) 5 (25) 2 (4)
Table 2. Main Socioeconomic and Behavioral Characteristics
Characteristics Park visitors Seaside tourists
Median age 43 39
Sex 52% m; 48% f 57% m; 43% f
Education (median class) Degree High school diploma
Income (median class) 42,000-54,000 6,000-18,000
Occupation, More professional Less professional
Nationality Italians 53%; Foreigners 46% Italians 76 Foreigners 24%
Origin of Italians Tuscany or neighboring regions
34%
Tuscany or neighboring regions
78%
Micro-facilities run by local family:
Accommodation Agritourism 30% Agritourism 2%
Food Typical restaurants 93% Typical restaurants 54%
Average daily expenditure (median class)* 42-54 18-30
* Excluding the travel costs and overnight stay
Table 3. Park visitors vs Seaside Tourists: Summary of the Independence Tests
Characteristics df χ2 p-value*
Pollution, unemployment and crime 2 23.6510 <.0001
The preference for living in an unpolluted area rather
than in a city 1 20.0970 <.0001
Environmental quality and the perceived welfare 2 17.2106 <.0001
The purchase of a home in a park area 1 67.6933 <.0001
WTP a higher price for a home in a park area 2 2.3016 .3299
The preference for local and organic products 1 44.5829 <.0001
The importance given to the supply of organic and
local products in the hotels 1 26.8122 <.0001
The impact of an environmental quality trademark on
the choice of a hotel 1 13.8971 <.0001
WTP a higher price for certified products 2 24.5806 <.0001
* The independence test was carried out using the usual permutation techniques or the exact Fisher test.
Software: SAS