Revista de Educación,
Motricidad e Investigación
Validation of a scale on the perceptions of the
socioeconomic impact of nature sports tourism
Validación de una escala sobre las percepciones del impacto
socioeconómico del turismo deportivo de naturaleza
Jorge Rojo-Ramos
Physical Activity for Education, Performance and Health (PAEPH), Facultad de Ciencias del
Deporte, Universidad de Extremadura, 10003, Cáceres, España
https://orcid.org/0000-0002-6542-7828
Santiago Gómez-Paniagua
Biorgon Research Group, Facultad de Ciencias del Deporte, Universidad de Extremadura,
10003, Cáceres, España
sgomezpa@alumnos.unex.es
https://orcid.org/0000-0002-1623-0316
Juan Carlos Guevara-Pérez
Faculty of Economics and Business, University of Zaragoza, 50005 Zaragoza, Spain
https://orcid.org/0000-0002-1215-7916
Jesús Morenas-Martín
Motor Control Research Group, Facultad de Ciencias del Deporte, Universidad de
Extremadura, Cáceres, España.
https://orcid.org/0000-0002-0814-0636
VOL. 22 (2024)
ISSN 2341-1473 pp. 1-17
https://doi.org/10.33776/remo.vi22.7745
Abstract:
The impact that tourists have on the destination com-
munity modifies their behavior and can be a key factor
guiding both their perceptions and their intention to
revisit the destination. However, the perceptions of tou-
rists have been little analyzed in the scientific literature.
The objective of this study is to explore the psychome-
tric properties and validity of a questionnaire aimed at
assessing tourists’ perceptions of the socioeconomic im-
pact of sports activities in the natural environment. The
sample consisted of 1184 sports tourists who traveled to
the Valle del Jerte (Extremadura, Spain). Both an explo-
ratory factor analysis and a confirmatory factor analysis
were carried out, as well as an analysis of the reliability of
the instrument. The results showed a final structure of 8
items divided into two factors with satisfactory reliability
values and indicators of the goodness of fit. Therefore,
this research provides a quick, free and easy-to-use tool
to assess the perceptions of sports tourists about the
socio-economic impact generated by the activities they
practice.
Keywords:
Instrument; economic impact; active tourism; nature;
psychometric properties
Fecha de recepción: 17 de mayo de 2023
Resumen:
El impacto que los turistas tienen en la comunidad del
destino modifica su comportamiento y puede ser un
factor clave que guíe tanto sus percepciones como su
intención de volver a visitar el destino. Sin embargo, las
percepciones de los turistas han sido poco analizadas en
la literatura científica. El objetivo de este estudio es ex-
plorar las propiedades psicométricas y la validez de un
cuestionario destinado a evaluar las percepciones de los
turistas sobre el impacto socioeconómico de las activi-
dades deportivas en el medio natural. La muestra estuvo
formada por 1184 turistas deportivos que viajaron al Va-
lle del Jerte (Extremadura, España). Se realizó un análisis
factorial exploratorio y un análisis factorial confirmatorio,
así como un análisis de fiabilidad del instrumento. Los
resultados mostraron una estructura final de 8 ítems divi-
didos en dos factores con satisfactorios valores de fiabi-
lidad e indicadores de la bondad del ajuste. Por lo tanto,
esta investigación proporciona una herramienta rápida,
gratuita y fácil de usar para evaluar las percepciones de
los turistas deportivos sobre el impacto socioeconómico
generado por las actividades que practican.
Palabras claves:
Instrumento; impacto económico; turismo activo; natura-
leza; propiedades psicométricas
Fecha de aceptación: 18 de marzo de 2024
Validation of a scale on the perceptions of
the socioeconomic impact of nature sports
tourism
Validación de una escala sobre las percepciones
del impacto socioeconómico del turismo
deportivo de naturaleza
Jorge Rojo-Ramos
Physical Activity for Education, Performance and Health (PAEPH),
Facultad de Ciencias del Deporte, Universidad de Extremadura,
10003, Cáceres, España
https://orcid.org/0000-0002-6542-7828
Santiago Gómez-Paniagua
Biorgon Research Group, Facultad de Ciencias del Deporte,
Universidad de Extremadura, 10003, Cáceres, España
sgomezpa@alumnos.unex.es
https://orcid.org/0000-0002-1623-0316
Juan Carlos Guevara-Pérez
Faculty of Economics and Business, University of Zaragoza, 50005
Zaragoza, Spain
https://orcid.org/0000-0002-1215-7916
Jesús Morenas-Martín
Motor Control Research Group, Facultad de Ciencias del Deporte,
Universidad de Extremadura, Cáceres, España.
https://orcid.org/0000-0002-0814-0636
https://doi.org/10.33776/remo.vi22.7745
[ 3 ]
Introduction Interest in nature activities like skiing, rock climbing or kayaking has progressively grown over the
past 20 years (Brymer & Schweitzer, 2017). Despite the decline or stagnation in participation in many
traditional organized sports, a larger variety of nature-based sports have seen increased appeal
(Melo & Gomes, 2017a). In addition, cities are becoming epicenters for chronic, non-communicable
physical and mental health disorders, making urbanization one of the most significant global health
issues of the twenty-first century (Dye, 2008), making these types of activities even more important.
However, although parks, forests, and beaches have been directly linked to health promotion for
decades (Thompson, 2011), their benefits and ability to promote regular outdoor physical activity
has only recently, and systematically, been studied (Hunter etal., 2015). In this line, natural environ-
ments have been related to both better physical health (self-perceived health, longevity or cardio-
vascular disease) (de Vries etal., 2013; White etal., 2013) and better mental health (psychological
well-being, anxiety or depression) (Beyer etal., 2014; Richardson etal., 2013). Also, natural settings
present chances for casual or incidental physical activity among those who are reluctant to engage
in organized sports or gym-related activities due to a lack of time, money, or confidence (Withall
etal., 2011).
The term “nature sports” refers to a category of sports that are developed and practiced in natural or
rural environments, with formal and unofficial rules, that can support local sustainability, and that can
be practiced in the air, land or water (Melo & Gomes, 2017b). Likewise, both natural environments
and nature sports are components of tourism since most of these activities take place in places
far from the participants’ homes, requiring travel and tourism to natural and/or rural areas (Hall &
Page, 2014). Sport tourism can be defined as leisure-based travel that takes individuals temporarily
outside of their home communities to participate in physical activities, to watch physical activities,
or to venerate attractions associated with physical activities (Gibson, 1998). The growing attention
that the tourism and sports industries are giving the sport tourism sector, and nature sports in par-
ticular, is evidence of its significance, as is the development of a variety of academic works (Gibson,
2017), which show an extensive and significant area of shared interest between sports management
and tourism development (Jiménez-García etal., 2020). In this sense, the market for nature-based
tourism, which includes both soft (like trekking) and hard nature sports (like kayaking), is frequently
touted as the tourism industry’s fastest-growing sector, with an increase of between 10% and 30%
every year (Marques etal., 2010), generating a great economic impact on tourist destinations (Melo
etal., 2020).
Conversely, on order to better understand how tourism may be most advantageous for all parties
involved, tourism research has paid a lot of attention to how locals view tourist affects and support
tourism development within a place (Su etal., 2018). However, the scientific literature has not fo-
cused on how tourists think about the impact their activity has on the destination (Joo etal., 2019),
although some initial research has shown that tourists may become emotionally attached to (Cardi-
nale etal., 2016) or identify with the destination (Su & Swanson, 2017). Therefore, tourist behavior
and travel patterns in the tourism industry are functions of perceptions (Font & Hindley, 2017), which
can be defined as a person’s ability to select, arrange, and interpret stimuli into a meaningful and
cogent knowledge of the world (Schiffman y Kanuk, 2004). In this line, to engage visitors in the exe-
cution of management solutions and so help avoid and possibly prevent undesirable effects, current
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thinking suggests that a deeper understanding of how visitors view their own impact be pursued
(Diamantopoulou & Voudouris, 2008). For example, Cheung and Jim (2013) analyzed the preferenc-
es and perceptions held by visitors to various areas of Hong Kong, finding that the selection of ecot-
ourism products was characterized by good quality information and low ecological impact. Also, Su
and Swanson (2017) confirmed that visitors are less likely to return if they observe mostly negative
effects of tourism at the site, as visitors’ attitudes and perceptions guide their behavior. Hence, tour-
ism administrators shouldn’t ignore the possibility that visitors may have their own opinions about
how tourism affects a particular location (Kaplanidou etal., 2012).
Another issue that has generated controversy among experts in the field is the validity and reliability
of the different scales used to analyze tourists’ perception of the impact of their activity on the desti-
nation community. Most studies have focused on analyzing models in order to obtain how different
psychosocial aspects influence others (Fan etal., 2012; Ranjbarian & Pool, 2015) or focus on different
tools that assess the perceptions held in relation to risk or safety issues (Bird, 2009; Fuchs & Reichel,
2006), which have little to do with the impact of tourism. However, according to the authors’ knowl-
edge, there are no validated scales to evaluate the perceptions of tourists about the socioeconomic
impact of their activity in the destination area. Therefore, the aim of this study is to explore the psy-
chometric properties as well as validity and reliability issues of a questionnaire oriented to measure
visitors’ perceptions of their socioeconomic impact on the destination community, in tourists who
traveled to an area of Extremadura (Spain) to carry out sports activities in the natural environment.
The sample consisted of 1184 tourists who visited the Valle del Jerte (Extremadura) for sports activ-
ities in the natural environment. The sociodemographic details of the participants, all of whom were
chosen using a convenience sampling method, are shown in Table 1.
TABLE 1
Sample characterization
Variables Categories N %
Gender Male 554 46.8
Female 630 53.2
Age
Under 20 2 0.2
Between 20 and 29 359 30.3
Between 30 and 39 509 43.0
Between 40 and 49 255 21.5
Over 50 59 5.0
Nationality Spanish 1167 98.6
Foreign 17 1.4
Methods
Participants
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Variables Categories N %
Nature Activities
Hiking 87 7.3
Canyoning 379 32.0
Kayaking 124 10.5
Stand Up Paddle 77 6.5
Caving 90 7.6
Rafting 91 7.7
4x4 Routes 124 10.5
Horseback Riding 97 8.2
Others 108 9.1
Ethical concerns
The use of these data did not require approval from an accredited ethics committee, as they are
not covered by data protection principles, i.e., they are non-identifiable, anonymous data collected
through an anonymous survey for teachers. In addition, based on Regulation (EU) 2016/679 of the
European Parliament and of the Council on 27 April 2016 on the protection of individuals concern-
ing the processing of personal data and on the free movement of such data (which entered into
force on 25 May 2016 and has been compulsory since 25 May 2018), data protection principles do
not need to be applied to anonymous information (i.e., information related to an identifiable natural
person, nor to data of a subject that is not, or is no longer, identifiable). Consequently, the Regulation
does not affect the processing of our information. Even for statistical or research purposes, its use
does not require the approval of an accredited ethics committee.
Initially, a questionnaire was provided that analyzed different sociodemographic variables such as
gender, age, nationality and nature activities practiced during the trip.
Later, a questionnaire composed of nine items was administered to assess the perceptions of tour-
ists on the socio-economic impact of nature activities in the Valle del Jerte, being based on a Likert
scale from 1 (strongly disagree) to 5 (strongly agree). This questionnaire was initially developed by
Ramírez-Hurtado et al. (2007) as two different 10-point Likert scales to evaluate, on the one hand, the
induced economic effects (IEE) (5 items) and, on the other hand, the external effects (EE) (6 items),
which are related to the development of sports activities or events as a benefit for a social environ-
ment. According to these authors, they define the induced economic effects as the positive impact
produced by new investments in infrastructure and tourism revenues. Also, External effects are ben-
efits that are not channeled through the market, which are generally passed on to the residents of
the locality organizing the event. Later, Jiménez-Naranjo et al. (2017) adapted and reduced these
scales in terms of score (5-point Likert scale) and length (9 items in total), eliminating very general
items, to parameterize the socioeconomic impact of one of the largest international sporting events
(World Paddle Tour) at the time of its celebration in Extremadura. The 9 items that make up the
Instruments
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questionnaire are listed below: 1) “Increased recognition and promotion of the destination” (EE);
2) “It represents an element of pride and satisfaction” (EE); 3) “Generates a traffic and safety prob-
lem” (EE); 4) “Disrupts the usual rhythm and impairs other activities” (EE); 5) “Number of overnight
stays increases” (IEE); 6) “Employment increases” (IEE); 7) “It entails economic losses because the
investment is greater than the benefits obtained” (IEE); 8) “Economic advantages are concentrated
in the hands of a few companies and individuals” (IEE); and 9) “Public spending is necessary for the
development of this type of sports” (IEE). Finally, the items that evaluated the socioeconomic impact
negatively were reversed to analyze the domain in the same way. Likewise, no modifications or ad-
aptations were made despite changing the context (from paddle tennis to nature tourism) since the
scale analyzes benefits associated with the development of sports activities or events.
Active tourism businesses in the Valle del Jerte (Extremadura, Spain) were asked to collaborate in
order to access the sample. A member of the research team visited those who consented to partic-
ipate in the study to explain the process and method of sample selection. The method devised was
as follows: each group of participants who had engaged in outdoor sports activities with the partic-
ipating businesses and who opted to work on the project would take part in a drawing for a piece
of paper from a drum. After accepting the informed consent, the user whose paper had an X put
on it was requested to participate in the survey. Then, they were provided with a QR code to access
the survey, which they had to scan with their mobile device to go immediately to a Google Forms
tool-created form. For their participation in the study, the SOPRODEVAJE Rural Development Group
donated a reusable metal bottle for each group member. All information was gathered and handled
anonymously. The form was filled out in an average of 3 minutes.
Since all responses were automatically gathered in one database regardless of the company with
which the survey was conducted, it was decided to use an electronic questionnaire because of all
the benefits it provides (de Rada Igúzquiza, 2010). It also facilitated a higher response rate because
it was thought easy for participants to access the URL through a QR code. Information was gathered
between March and October of 2022.
Participants had to be of legal age, have engaged in outdoor sporting activities with a partner active
tourism business, and own a cell phone to access the survey in order to meet the inclusion criteria.
The exploratory factor analysis (EFA) were performed using the free statistical program FACTOR
v.10.10.02 (Rovira I Virgili University: Tarragona, Spain), which took into consideration the ordinal
nature of the data collected using a 5-point Likert scale. The robust unweighted least squares (RULS)
approach with Promin rotation (Lorenzo-Seva & Ferrando, 2019) was used to extract the factors un-
der the assumption that there is a correlation between the dimensions. A polychoric correlation
matrix was used to determine the properties of the data, and a parallel analysis (Lim & Jahng, 2019)
was used to establish the proper number of dimensions. After, Direct Oblimin was selected as the
rotation technique for defining factor simplicity and structure. As indicators of sampling adequacy,
the Kaiser-Meyer-Olkin (KMO) test and Bartlett’s test of sphericity were utilized (UI Hadi etal., 2016).
Statistical Analysis
Procedure
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The confirmatory factor analysis (CFA) was then performed using the AMOS v.26.0.0 software (IBM
Corporation, Wexford, PA, USA). Items having communalities lower than .30, loads lower than .60
and crossloads higher than .40 were removed (Brown, 2015). The root mean square error of ap-
proximation (RMSEA), the root mean square of residuals (RMSR), the non-normed fit index (NFI), the
comparative fit index (CFI), the chi-squared probability (p > .05), and the chi-square per degree of
freedom ratio (CMIN/DF) were used to evaluate the model’s goodness of fit (Marcoulides, 1990).
Cronbach’s alpha coefficient and McDonald’s omega were used as reliability metrics to evaluate the
questionnaire’s final design (Kalkbrenner, 2021).
Considering the scores obtained, the positive items (item 1, 2, 5 and 6) show perceptions that can be
considered good. Similarly, nature sports tourists do not perceive nature activities as having a neg-
ative impact on the community (items 3, 4, 7 and 8), all of them showing values below 3 points. The
descriptive statistics of the tourists’ responses to the items in the questionnaire are shown in Table 2.
TABLE 2
Descriptive statistics of the items that make up the questionnaire
Items MSD
1. Increased recognition and promotion of the destination 3.86 1.38
2. It represents an element of pride and satisfaction 3.68 1.60
3. Generates a traffic and safety problem 1.82 1.01
4. Disrupts the usual rhythm and impairs other activities 2.14 1.10
5. Number of overnight stays increases 3.31 1.56
6. Employment increases 3.61 1.58
7. It entails economic losses because the investment is greater than the benefits obtained 1.89 1.04
8. Economic advantages are concentrated in the hands of a few companies and individuals 2.40 1.15
9. Public spending is necessary for the development of this type of sports 2.65 1.50
Nota. M: Mean; SD: Standard Deviation.
The eigenvalue-based explained variance (Larsen & Warne, 2010) and the validity of expected a
posteriori scores (EAP) (Ferrando-Piera & Lorenzo-Seva, 2016), allowed the RULS technique with
Promin rotation to determine that the questionnaire had a structure consisting of two factors in the
first half of the sample. The EFA was carried out since the sample adequacy indices produced posi-
tive results (Bartlett test = 4041.8; df = 28; p < .001; and KMO test = .79.
The Direct Oblimin rotation method was selected once the number of dimensions was determined
since the degree of kurtosis (kurtosis = 24.89; p <.001) called for non-parametric approaches. Table
3 displays the rotational loading matrix for 9 variables and 2 factors.
Results
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TABLE 3
Rotated loading matrix through Direct Oblimin.
Items Factor 1 Factor 2
1. Increased recognition and promotion of the destination .89 .05
2. It represents an element of pride and satisfaction .98 -.03
3. Generates a traffic and safety problem .04 .66
4. Disrupts the usual rhythm and impairs other activities -.11 .64
5. Number of overnight stays increases .89 -.05
6. Employment increases .99 .03
7. It entails economic losses because the investment is greater than the benefits obtained .17 .66
8. Economic advantages are concentrated in the hands of a few companies and individuals -.12 .61
9. Public spending is necessary for the development of this type of sports -.38 .28
The rotated loading matrix reveals that there are nine elements, distributed throughout the two pre-
viously mentioned components, all of which have loadings larger than .60, except item 9. Therefore,
this item was eliminated from the scale because it did not meet the criteria of factor loading (<.60)
and communality (<.30). Table 4 presents the polychoric correlation matrix composed of eight re-
maining items.
TABLE 4
Polychoric correlation matrix obtained from the EFA.
Item 1 2 3 4 5 6 7 8
1 1
2 .89 1
3 .04 .01 1
4 -.12 -.18 .57 1
5 .77 .86 -.06 -.29 1
6 .86 .93 .02 -.12 .90 1
7 .10 .09 .32 .39 .10 .16 1
8 -.13 -.21 .31 .34 -.11 -.19 .52 1
Consequently, we obtained a factorial solution of 2 intercorrelated factors (-.08) encompassing each
of them four items: 1) positive perceptions (items 1, 2, 5 and 6); and 2) negative perceptions (items
3, 4, 7 and 8). Table 5 displays the composition and factor loadings of each item.
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TABLE 5
Factorial solution of the questionnaire.
Items Factor 1 Factor 2
1. Increased recognition and promotion of the destination .89
2. It represents an element of pride and satisfaction .97
3. Generates a traffic and safety problem .64
4. Disrupts the usual rhythm and impairs other activities .71
5. Number of overnight stays increases .90
6. Employment increases .98
7. It entails economic losses because the investment is greater than the benefits obtained .66
8. Economic advantages are concentrated in the hands of a few companies and individuals .64
Following the definition of the questionnaire’s design, CFA was used with the remaining half of the
sample to create a conclusive model (Figure 1).
Figure 1. Final scale model.
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The final structure of the questionnaire, which had eight items split into two components, is shown
in Figure 1. The numbers shown in the image (from left to right) are the correlation between factors,
standardized regression weights, squared multiple correlations of each variable, and correlations
between exogenous variables.
The scale goodness-of-fit indices are shown in Table 6 after the CFA, suggesting a satisfactory match
between the model and the data (Schumacker & Lomax, 2016).The RMSEA is within the predeter-
mined range (.01-.05), and an RMSR of less than .08 can be considered extraordinary. A nearly per-
fect fit to the model is shown by NNFI and CFI over .90. Finally, both the CMIN/DF index, which must
be below 5 for a proper model fit, and the chi-squared probability exhibit great results because of
non-significant values.
TABLE 6
Goodness-of-fit indices extracted from the CFA
Indices Value
RMSEA .048
RMSR .078
CFI .979
NNFI .973
Ρ (χ2) .156
CMIN/DF 4.781
RMSEA: root mean square error of approximation; RMSR: root mean square of residuals; CFI: comparative fit index; NNFI: non-nor-
med fit index; P (χ2): chi-squared probability; CMIN/DF: minimum discrepancy per degree of freedom.
Table 7 shows the explained variance for each factor as well as the Cronbach’s Alpha and McDon-
ald’s Omega reliability indices for the questionnaire dimensions. The explained variance was de-
fined as the proportion of the variance in the responses that was not attributed to hazard but rather
to each of the model’s components (residual values).
TABLE 7
Questionnaire internal consistency indicators
Indices Factor 1 Factor 2
McDonald’s Omega .94 .72
Cronbach’s Alpha .94 .71
Eigenvalue 3.72 2.20
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The main purpose of this research was to explore the psychometric properties, as well as the reli-
ability and validity criteria, of a questionnaire to assess tourists’ perceptions of the socioeconomic
impact of sports activities in the natural environment. The results of this study yielded a factorial
structure composed of two interrelated factors and eight items, showing satisfactory goodness-of-fit
indices. Likewise, the values of both Cronbach’s Alpha and McDonald’s Omega show scores above
.70, so they can be considered as acceptable. Some years ago, this scale was used in one of the
largest sporting events hosted in Extremadura (Jiménez Naranjo et al., 2017), the World Paddle
Tour, being originally developed by Ramírez-Hurtado et al. (2007) as two different scales to assess
the perceptions of both social and economic effects perceived by those attending a tennis event in
Andalucía, however, in none of these works was an initial validation of the scale/scales carried out.
Similarly, and more recently, Agorreta-Lumbreras et al. (2020) attempted to carry out an initial psy-
chometric exploration of the current scale in participants of sporting events in the Valle del Jerte,
but both the sample analyzed, and the reliability indicators were considered precarious to validate
the instrument.
Following the most recent trend of scientific studies (Gao etal., 2017; Joo etal., 2019), it would be
logical and meaningful to ask tourists about their perception of the impact of tourism on the des-
tination and what contributes to more positive attitudes towards tourism development, especially
in natural environments where the impact of tourism activities can produce insurmountable con-
sequences (Han, 2021). Gao et al. (2017) conducted research in two world heritage destinations in
China, showing that tourists’ perceptions of the negative impact of tourism were positively related
to tourists’ assumption of responsibility, which in turn was positively associated with tourists’ per-
ceptions of responsibility. In this line, Cheng & Wu (2015) explored a structural model to promote
sustainable tourism in several island destinations in Taiwan, finding that the more positive tourists’
perceptions of the environment and place were, the more they developed environmentally respon-
sible behaviors. Similarly, Chiu et al. (2014) found that the perceived value of the trip, satisfaction
and participation in outdoor activities encourage environmentally responsible behavior.
On the other hand, the economic impacts of tourism have historically received the most attention
because of the positive effects they can have on destinations and communities, both directly and
indirectly, and their relative ease of evaluation (Comerio & Strozzi, 2019). In this context, Parra-Ca-
macho et al. (2016) found that both residents’ and tourists’ perceptions of the economic benefits of
a small-scale maritime sporting event were positive but showed significant differences in favor of
tourists, with a direct effect on their intention to revisit or participate in the event the following year.
Similarly, Vergara-Ferri (2022) found very positive perceptions from tourists and residents regarding
the economic impact of Spain’s largest professional cycling event. Another study carried out in the
Valle del Jerte area found excellent perceptions by tourists about the socio-economic impact of kay-
aking activities in the natural environment, with women being more positive in general terms than
men (Rojo-Ramos etal., 2023).
By contrast, several studies have shown that there is a relationship between increased tourism and
detrimental effects on social and environmental structures (Dunets etal., 2019), although tourism
can improve the economy by creating jobs and income, it also often has a negative impact on the
environment and local populations. However, this trend seems to be reversed in sporting activities
Discussion
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or events in rural areas as indicated by Zhou & Kaplanidou (2018), who point out that closer contact
between participants and the local community generates greater benefits in the short and long term.
This idea was confirmed by Hautbois et al. (2020) who compared the social benefits of marathons
in the communities that organized them, finding that both participants and spectators benefited,
although there were differences depending on whether the event allowed open registration or re-
quired a certain level of professionalism. According to Taks (2013), compared to large-scale events,
small-scale events have fewer negative effects. As a result, this analysis demonstrates that the event
had few adverse effects, such as issues with traffic and safety or changes to the locality’s routine and
activities.
This study has certain limitations as any other study. In the first place, the sample was mainly com-
posed of national tourists, with a minimal number of participants of other nationalities, so that per-
ceptions could be influenced by sociocultural issues. Likewise, the majority of tourists carried out ad-
venture sports activities, which is another bias to be taken into account. Also, there is little scientific
literature analyzing the perceptions of tourists, the main reason for validating this scale, which makes
it difficult to interpret the results and relate them to previous studies. Furthermore, due to the nature
of the study, no measures of the temporal stability of the instrument were carried out, nor were tests
to certify the criterion validity with other measures with a similar focus. Finally, the final confirmatory
model required the correlation between the errors of items 1 and 2, as well as between the errors of
items 7 and 8.
As future lines of research, it is proposed to incorporate into the analysis all sports activities that take
place in the natural environment and take place in the Valle del Jerte area, and later extend it to the
entire Extremadura. Similarly, it would be interesting to analyze the perceptions of attendees and
participants in various sporting events, as already attempted in previous works, so that tourism and
organization companies can work in a coordinated manner.
Understanding the relevance of tourists perceptions about their impact on the destination, this is
the first research that offers a valid and reliable tool to analyze the perceptions they have about the
socioeconomic impact of sport activities in the natural environment. Also, because tourists’ expe-
riences and views are likely to worsen if they feel unwelcome or emotionally distant from people
and see unfavorable results from their travels, tourism businesses and environs play a crucial role in
psychologically welcoming tourists. Therefore, public and private organizations must adopt various
strategies aimed at improving the tourist’s perceptions of the impact of the activities they carry out,
adapting these strategies to different tourism contexts as well as to the sociodemographic charac-
teristics of the tourists themselves. Finally, it should be noted that increasingly all lines of improve-
ment and development that are implemented in tourism, being even more relevant in this study
because of its rural and nature context, must follow a sustainable pattern to ensure the ‘preservation
of the environments in which different activities are practiced whether sports or not.
Limitations and Future Lines of Research
Practical Implications
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This research has explored the psychometric properties of a scale to analyze the perceptions of
tourists on the socioeconomic impact of sports activities in the natural environment, showing good
results both in terms of reliability and validity. Therefore, public and private entities have a fast, re-
liable and free tool to evaluate these perceptions. The CFA revealed a final structure of eight items
divided into two single dimensions, each of them separately encompassing positive and negative
perceptions.
To thank the City Council of Piornal and Gecko Turismo Activo for making possible the development
of this research.
The authors declare no conflict of interest.
This research was funded by Society for the promotion and development of the Valle del Jerte
(OPRODEVAJE).
Agorreta Lumbreras, J., Madruga Vicente, M., Cerro Herrero, D., & Prieto Prieto, J. (2020). Impacto
socioeconómico del turismo activo de eventos deportivos: Un estudio exploratorio para el caso
del Valle del Jerte. ROTUR. Revista de Ocio y Turismo, 14(2), 88-104. https://doi.org/10.17979/
rotur.2020.14.2.6436
Beyer, K., Kaltenbach, A., Szabo, A., Bogar, S., Nieto, F., & Malecki, K. (2014). Exposure to Neigh-
borhood Green Space and Mental Health: Evidence from the Survey of the Health of Wisconsin.
International Journal of Environmental Research and Public Health, 11(3), 3453-3472. https://doi.
org/10.3390/ijerph110303453
Bird, D. K. (2009). The use of questionnaires for acquiring information on public perception of natu-
ral hazards and risk mitigation – a review of current knowledge and practice. Natural Hazards and
Earth System Sciences, 9(4), 1307-1325. https://doi.org/10.5194/nhess-9-1307-2009
Brown, T. A. (2015). Confirmatory factor analysis for applied research (Second edition). The Guilford
Press.
Brymer, E., & Schweitzer, R. D. (2017). Evoking the ineffable: The phenomenology of extreme sports.
Psychology of Consciousness: Theory, Research, and Practice, 4(1), 63-74. https://doi.org/10.1037/
cns0000111
Cardinale, S., Nguyen, B., & Melewar, T. (2016). Place-based brand experience, place attachment and
loyalty. Marketing Intelligence & Planning, 34(3), 1-30. https://doi.org/10.1108/MIP-04-2014-0071
Cheng, T.-M., & Wu, H. C. (2015). How do environmental knowledge, environmental sensitivity, and
place attachment affect environmentally responsible behavior? An integrated approach for sus-
Conclusions
Acknowledgments
Conflicts of interest
Funding
12. References
https://doi.org/10.33776/remo.vi22.7745
[ 14 ]
tainable island tourism. Journal of Sustainable Tourism, 23(4), 557-576. https://doi.org/10.1080/0
9669582.2014.965177
Cheung, L. T. O., & Jim, C. Y. (2013). Ecotourism service preference and management in Hong Kong.
International Journal of Sustainable Development & World Ecology, 20(2), 182-194. https://doi.or
g/10.1080/13504509.2013.775192
Chiu, Y.-T. H., Lee, W.-I., & Chen, T.-H. (2014). Environmentally responsible behavior in ecotourism:
Antecedents and implications. Tourism Management, 40, 321-329. https://doi.org/10.1016/j.tour-
man.2013.06.013
Comerio, N., & Strozzi, F. (2019). Tourism and its economic impact: A literature review using biblio-
metric tools. Tourism Economics, 25(1), 109-131. https://doi.org/10.1177/1354816618793762
de Rada Igúzquiza, V. D. (2010). Eficacia de las encuestas por internet: Un estudio preliminar. RES.
Revista Española de Sociología, 13, 49-79. https://doi.org/10.5477/cis/reis.136.49
de Vries, S., van Dillen, S. M. E., Groenewegen, P. P., & Spreeuwenberg, P. (2013). Streetscape gree-
nery and health: Stress, social cohesion and physical activity as mediators. Social Science & Medi-
Diamantopoulou, P., & Voudouris, K. (2008). Optimization of water resources management using
SWOT analysis: The case of Zakynthos Island, Ionian Sea, Greece. Environmental Geology, 54(1),
197-211. https://doi.org/10.1007/s00254-007-0808-5
Dunets, A. N., Vakhrushev, I. B., Sukhova, M. G., Sokolov, M. S., Utkina, K. M., & Shichiyakh, R. A.
(2019). Selection of strategic priorities for sustainable development of tourism in a mountain re-
gion: Concentration of tourist infrastructure or nature-oriented tourism. Entrepreneurship and
Sustainability Issues, 7(2), 1217-1229. https://doi.org/10.9770/jesi.2019.7.2(29)
Dye, C. (2008). Health and Urban Living. Science, 319(5864), 766-769. https://doi.org/10.1126/
science.1150198
Fan, Z., Zhong, S., & Zhang, W. (2012). Harmonious Tourism Environment and Tourists Perception:
An Empirical Study of Mountain-Type World Cultural Heritage Sites in China. Journal of Service
Science and Management, 5(1), 95-100. https://doi.org/10.4236/jssm.2012.51012
Ferrando Piera, P. J., & Lorenzo Seva, U. (2016). A note on improving EAP trait estimation in oblique
factor-analytic and item response theory models. Psicológica. Revista de Metodología y Psicología
Experimental, 37(2), 235-247.
Font, X., & Hindley, A. (2017). Understanding tourists’ reactance to the threat of a loss of freedom to
travel due to climate change: A new alternative approach to encouraging nuanced behavioural
change. Journal of Sustainable Tourism, 25(1), 26-42. https://doi.org/10.1080/09669582.2016.1
165235
Fuchs, G., & Reichel, A. (2006). Tourist Destination Risk Perception: The Case of Israel. Journal of Hos-
pitality & Leisure Marketing, 14(2), 83-108. https://doi.org/10.1300/J150v14n02_06
Gao, J., Huang, Z. (Joy), & Zhang, C. (2017). Tourists’ perceptions of responsibility: An application of
norm-activation theory. Journal of Sustainable Tourism, 25(2), 276-291. https://doi.org/10.1080/0
9669582.2016.1202954
https://doi.org/10.33776/remo.vi22.7745
[ 15 ]
Gibson, H. (2017). Sport tourism and theory and other developments: Some reflections. Journal of
Sport & Tourism, 21(2), 153-158. http://dx.doi.org/10.1080/14775085.2017.1319514
Gibson, H. J. (1998). Active sport tourism: Who participates? Leisure Studies, 17(2), 155-170. https://
doi.org/10.1080/026143698375213
Hall, C. M., & Page, S. (2014). The geography of tourism and recreation: Environment, place and spa-
ce (Fouth edition). Routledge.
Han, H. (2021). Consumer behavior and environmental sustainability in tourism and hospitality: A re-
view of theories, concepts, and latest research. Journal of Sustainable Tourism, 29(7), 1021-1042.
https://doi.org/10.1080/09669582.2021.1903019
Hautbois, C., Djaballah, M., & Desbordes, M. (2020). The social impact of participative sporting
events: A cluster analysis of marathon participants based on perceived benefits. Sport in Society,
Hunter, R. F., Christian, H., Veitch, J., Astell-Burt, T., Hipp, J. A., & Schipperijn, J. (2015). The impact
of interventions to promote physical activity in urban green space: A systematic review and re-
commendations for future research. Social Science & Medicine, 124, 246-256. https://doi.or-
g/10.1016/j.socscimed.2014.11.051
Jiménez-Naranjo, H. V., Sánchez Escobedo, M. de la C., Gutiérrez Fernández, M., Fernández Portillo,
A., & Coca Pérez, J. L. (2017). Impacto del World Padel Tour en la ciudad de Cáceres. Universidad
de Extremadura, Servicio de Publicaciones. https://dehesa.unex.es:8443/handle/10662/6115
Jiménez-García, M., Ruiz-Chico, J., Peña-Sánchez, A. R., & López-Sánchez, J. A. (2020). A bibliometric
analysis of sports tourism and sustainability (2002–2019). Sustainability, 12(7), 2840. https://doi.
org/10.3390/su12072840
Joo, D., Cho, H., & Woosnam, K. M. (2019). Exploring tourists’ perceptions of tourism impacts. Tou-
rism Management Perspectives, 31, 231-235. https://doi.org/10.1016/j.tmp.2019.05.008
Kalkbrenner, M. T. (2021). Alpha, omega, and H internal consistency reliability estimates: Reviewing
these options and when to use them. Counseling Outcome Research and Evaluation, 14(3), 1-12.
https://doi.org/10.1080/21501378.2021.1940118
Kaplanidou, K., Jordan, J. S., Funk, D., & Ridinger, L. L. (2012). Recurring Sport Events and Destination
Image Perceptions: Impact on Active Sport Tourist Behavioral Intentions and Place Attachment.
Journal of Sport Management, 26(3), 237-248. https://doi.org/10.1123/jsm.26.3.237
Larsen, R., & Warne, R. T. (2010). Estimating confidence intervals for eigenvalues in exploratory factor
analysis. Behavior Research Methods, 42(3), 871-876. https://doi.org/10.3758/BRM.42.3.871
Lim, S., & Jahng, S. (2019). Determining the number of factors using parallel analysis and its recent
variants. Psychological Methods, 24, 452-467. https://doi.org/10.1037/met0000230
Lorenzo-Seva, U., & Ferrando, P. J. (2019). Robust Promin: A method for diagonally weighted factor
rotation. Liberabit. Revista Peruana de Psicología, 25(1), 99-106. https://doi.org/10.24265/libera-
bit.2019.v25n1.08
Marcoulides, G. A. (1990). Evaluation of Confirmatory Factor Analytic and Structural Equation Models
Using Goodness-of-Fit Indices. Psychological Reports, 67(2), 669-670. https://doi.org/10.2466/
pr0.1990.67.2.669
https://doi.org/10.33776/remo.vi22.7745
[ 16 ]
Marques, C., Reis, E., & Menezes, J. (2010). Profiling the segments of visitors to Portuguese protected
areas. Journal of Sustainable Tourism, 18(8), 971-996. https://doi.org/10.1080/09669582.2010.4
97222
Melo, R., & Gomes, R. (2017a). A Sociocultural Approach to Understanding the Development of
Nature Sports. En Sport Tourism: New Challenges in a Globalized World (Cambridge Scholars
Publishing, pp. 60-90).
Melo, R., & Gomes, R. (2017b). Nature sports participation: Understanding demand, practice profi-
le, motivations and constraints. European Journal of Tourism Research, 16, 108-135. https://doi.
org/10.54055/ejtr.v16i.281
Melo, R., Van Rheenen, D., & James Gammon, S. (2020). Part I: Nature sports: a unifying concept. An-
nals of Leisure Research, 23(1), 1-18. https://doi.org/10.1080/11745398.2019.1672307
Parra Camacho, D., González García, R. J., Añó Sanz, V., & Ayora Pérez, D. (2016). Percepción de los
visitantes sobre el impacto social y sus intenciones con respecto a la celebración de un evento
deportivo de pequeña escala. RPD. Revista de psicología del deporte, 25(1), 93-96.
Ramírez-Hurtado, J. M., Ordaz Sanz, J. A., & Rueda-Cantuche, J. M. (2007). Evaluación del impacto
económico y social de la celebración de grandes eventos deportivos a nivel local: El caso del
Campeonato de Tenis Femenino de la ITF en Sevilla en 2006. RMCEE. Revista de Métodos Cuan-
titativos para la Economía y la Empresa, 3, 20-39. https://doi.org/10.46661/revmetodoscuanteco-
nempresa.2063
Ranjbarian, B., & Pool, J. K. (2015). The Impact of Perceived Quality and Value on Tourists’ Satisfaction
and Intention to Revisit Nowshahr City of Iran. Journal of Quality Assurance in Hospitality & Tou-
Richardson, E. A., Pearce, J., Mitchell, R., & Kingham, S. (2013). Role of physical activity in the rela-
tionship between urban green space and health. Public Health, 127(4), 318-324. https://doi.or-
g/10.1016/j.puhe.2013.01.004
Rojo-Ramos, J., Gómez-Paniagua, S., Guevara-Pérez, J. C., & García-Unanue, J. (2023). Gender Di-
fferences in Adventure Tourists Who Practice Kayaking in Extremadura. International Journal of
Environmental Research and Public Health, 20(5), 3889. https://doi.org/10.3390/ijerph20053889
Schiffman, L. G., & Kanuk, L. L. (2004). Consumer behavior (8th Ed.). Pearson Prentice Hall.
Schumacker, R. E., & Lomax, R. G. (2016). A beginners guide to structural equation modeling (Fourth
edition). Routledge. https://doi.org/10.4324/9781315749105
Su, L., Huang, S. (Sam), & Huang, J. (2018). Effects of Destination Social Responsibility and Tourism
Impacts on Residents’ Support for Tourism and Perceived Quality of Life. Journal of Hospitality &
Tourism Research, 42(7), 1039-1057. https://doi.org/10.1177/1096348016671395
Su, L., & Swanson, S. R. (2017). The effect of destination social responsibility on tourist environmen-
tally responsible behavior: Compared analysis of first-time and repeat tourists. Tourism Manage-
Taks, M. (2013). Social sustainability of non-mega sport events in a global world 1. European Journal
for Sport and Society, 10(2), 121-141. https://doi.org/10.1080/16138171.2013.11687915
https://doi.org/10.33776/remo.vi22.7745
[ 17 ]
Thompson, C. W. (2011). Linking landscape and health: The recurring theme. Landscape and Urban
Ul Hadi, N., Abdullah, N., & Sentosa, I. (2016). An Easy Approach to Exploratory Factor Analysis:
Marketing Perspective. Journal of Educational and Social Research, 6(1), 215-223. https://doi.
org/10.5901/jesr.2016.v6n1p215
Vergara-Ferri, M. J. (2022). Análisis y evolución de la percepción del impacto social y turístico del
evento deportivo de ciclismo en ruta “La Vuelta” [Proyecto de investigación]. Universidad de Mur-
cia https://digitum.um.es/digitum/handle/10201/125123
White, M. P., Alcock, I., Wheeler, B. W., & Depledge, M. H. (2013). Would You Be Happier Living in
a Greener Urban Area? A Fixed-Effects Analysis of Panel Data. Psychological Science, 24(6), 920-
928. https://doi.org/10.1177/0956797612464659
Withall, J., Jago, R., & Fox, K. R. (2011). Why some do but most don’t. Barriers and enablers to en-
gaging low-income groups in physical activity programmes: A mixed methods study. BMC Public
Health, 11(1), 507. https://doi.org/10.1186/1471-2458-11-507
Zhou, R., & Kaplanidou, K. (2018). Building social capital from sport event participation: An explo-
ration of the social impacts of participatory sport events on the community. Sport Management
Review, 21(5), 491-503. https://doi.org/10.1016/j.smr.2017.11.001