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Article

Health and Wellness Tourists’ Motivation and Behavior Intention: The Role of Perceived Value

1
School of Geography and Tourism, Huanggang Normal University, Huanggang 438000, China
2
Faculty of Humanities and Social Sciences, Macao Polytechnic University, Macau 999078, China
3
Education Department, Huanggang Normal University, Huanggang 438000, China
4
Mental Health Counseling Center, Wuhan Sports University, Wuhan 430079, China
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2023, 20(5), 4339; https://doi.org/10.3390/ijerph20054339
Submission received: 9 February 2023 / Revised: 23 February 2023 / Accepted: 27 February 2023 / Published: 28 February 2023

Abstract

:
In recent years, with the rapid change of people’s health concept, health and wellness tourism has shown a vigorous development trend. However, existing literature has been lacking on travelers’ behavioral intentions, influenced by their motivation in health and wellness tourism. To fill in this gap, we designed scales of tourists’ behavioral intention and motivation in health and wellness tourism and investigated the aforementioned effects, with a sample of 493 visitors who have traveled in health and wellness tourism. Factor analysis and structural equation models were applied to explore the relations among motivation, perceived value, and behavioral intention in health and wellness tourism. The results indicate that health and wellness tourists’ motivation significantly positively predicts their behavior intentions. Travelers’ perceived value of health and wellness tourism significantly partially mediates the associations between their behavioral intention and escape motivation, attractive motivation, environmental motivation, as well as interpersonal motivation. No empirical evidence supports the mediating role of perceived value in the correlation between consumption motivation and behavioral intention. Health and wellness tourism industries are encouraged to meet the intrinsic motivation of travelers and make them perceive the value of this kind of tourism, which in turn promotes tourists’ choice, evaluation, and satisfaction of health and wellness tourism.

1. Introduction

Health and wellness tourism has been blooming around the world since the COVID-19 pandemic [1,2,3]. COVID-19 has swept the world and the outbreak has had a major impact on public health and tourism as one of the keys to the global economy [4,5]. The impact of this epidemic on health and wellness tourism is diverse, with the heterogeneity of prevention and control measures in different countries or regions [6]. As a health and economic crisis, the perceived risk of the virus is likely to affect tourists’ intentions to travel [2,7]. The Chinese government has been relaxing a dynamic zero-COVID policy at the end of 2022 [8]. This means that China’s domestic tourism market has been reopened, but the international tourism market is still limited by the epidemic restriction policies of the destination countries or regions. In this context, tourism industries with acceptable prices and positive health orientations may be more popular among travelers [4,7]. Health and wellness tourism has become a powerful catalyst for regional development in a competitive global tourism economy [2,3]. Therefore, it is necessary to explore the motivation and behavioral intentions of tourists toward health and wellness tourism.
As a new kind of integrated development of tourism and health industry, health and wellness tourism’s advantages are outstanding and well-liked by the public, and it has become an emerging form of tourism economy [9,10]. In terms of China’s data, the market size of health and wellness tourism industry reached 82.9 billion yuan in 2019, and the compound annual growth rate of the market size of health tourism has reached about 20% from 2016 to 2020 [11].
The World Tourism Organization considered medical tourism as tourism services with the theme of medical care, rehabilitation, and recuperation [12]. As an advanced concept with medical tourism, health and wellness tourism offers medical and non-medical services to travelers and there are three main definitions of this kind of tourism [13]. The first one considers health and wellness tourism as a comprehensive form of tourism for the purpose of wellness, to obtain physical as well as spiritual relaxation so that people can consciously and enthusiastically participate in various activities in society [13,14]. The second definition considers health and wellness as a way to achieve mental health and physical health by adjusting the body and mind without the need for medical intervention on vacation [15]. Scholars who hold this view believe that tourists are traveling for the purpose of health needs and also to find intangible values, such as a healthy balance of body, mind, and spirit [16]. The third definition is formed through some form of health and wellness tourism and focuses more on the final outcome presented [13,17]. For example, it has been argued that the strength of the visitor’s experience is related to whether the visitor ultimately chooses the destination or not, and this indicator is also effective in predicting the number of visitors in the health and wellness tourism development process [18].
Health and wellness tourism has received extensive attention and research from all walks of life [19]. Most scholars have been concerned with the innovation of health and wellness tourism, the evaluation of health and wellness tourism development resources in case sites, and the corresponding development countermeasures [1,9,13]. However, systematic studies regarding health and wellness tourism are extremely lacking, especially in the field of tourism psychology. Therefore, this study aims to design scales of motivation, perceived value, and behavioral intention in health and wellness tourism, and investigate their relations. The empirical evidence may help industries of health and wellness tourism to design strategies to attract tourists and provide policy implications to tourism sectors of government.

2. Literature Review and Hypotheses

2.1. Health and Wellness Tourism Motivation and Behavioral Intention

Tourists’ behavioral intentions in health and wellness tourism are able to predict their actual tourism behaviors and can effectively reflect the number of travelers in the tourism market [5,20]. Behavioral intention in health and wellness tourism refers to tourists’ preferences for this kind of tourism [21,22,23]. The high levels of travelers’ behavioral intention represent their preference for health and wellness tourism attractions as destinations, higher satisfaction with the tourism products or services, and willingness to recommend the tour to friends and family [5,24,25]. Tourists’ behavioral intentions are influenced by many factors, including demographic information such as age [26], education level [1,27], health status [28], and psychological factors including motivation [29], risk perception [30], and satisfaction [31]. Existing studies have noted the negative impact of the threat posed by the COVID-19 virus on the tourism market [2,30,32]. However, the COVID-19 epidemic has created a broad market prospect for health and wellness tourism [3,27]. In terms of China, the easing of the containment of the epidemic is a great boon to the domestic tourism industries, especially health and wellness tourism [8,30]. The actual number of the travelers still depends on the behavioral intentions of the individuals, and the motivation to travel is recognized as a determinant of behavioral intentions in health and wellness tourism [29,33].
The push and pull motivation theory can be applied to explain that tourists’ behavioral intentions in health and wellness tourism are driven by motivation [34,35,36]. The push motivation is the intrinsic motivation for people to undertake tourism activities while the pull motivation of tourism is the extrinsic motivation for people to choose a destination for their well-being [36,37,38]. Push motivation can be divided into two sub-dimensions: escape from individuals’ routines [39,40] and acceptable cost [41]. When individuals keep repeating their studies or work, they tend to develop a feeling of dullness and show a sullen state, which is harmful to their health and well-being [19,42]. Escaping from the present environment may heal residents and enable them to relax [43]. Health and wellness tourism with its healing characteristics, is suitable to help working people to relax, when compared to other types of tourism [44,45]. Appropriate spending during tourism can not only be pleasurable, but also satisfy the physical needs of the journey [46,47]. When feeling that the cost of time and money is worthwhile and effective in enhancing their wellness, tourists will show a preference for health and wellness tourism [48]. In this context, travelers may exhibit a greater likelihood of choice for health and wellness tourism. We use the terms escape motivation and cost motivation to describe these psychological processes to explore the influence of push motivation on behavioral intentions in health and wellness tourism [36,49,50]. Based on this, we proposed the hypothesis as follows:
H1a. 
Tourists’ escape motivation positively predicts their behavioral intention in health and wellness tourism.
H1b. 
Tourists’ consumption motivation positively predicts their behavioral intention in health and wellness tourism.
Pull motivations in health and wellness tourism may include the attraction of attractions with wellness features [51], spiritual cleansing from green natural landscapes [52], and the hospitality of friends at the destination or the enhancement of relationships with fellow travelers [53,54]. Three terms including attraction motivation, natural environmental motivation, and interpersonal motivation were used as three sub-dimensions of motivation in health and wellness tourism [53]. Specifically, travelers can be directly healed by purchasing health and wellness tourism products or services including spa, massage, medical product experience, and health care knowledge [13,26,55]. Tourists can enjoy the fresh air in green resorts, which is not available in their routines [52]. Interpersonal interaction has been shown to be a key element in choosing a health and wellness tourism destination [56]. Based on this, we proposed the hypothesis as follows.
H1c. 
Tourists’ attractive motivation positively predicts their behavioral intention in health and wellness tourism.
H1d. 
Tourists’ natural environmental motivation positively predicts their behavioral intention in health and wellness tourism.
H1e. 
Tourists’ interpersonal motivation positively predicts their behavioral intention in health and wellness tourism.

2.2. Perceived Value as a Mediator

Tourists’ perceived value refers to the result of a comparison between travelers’ costs in their travel process and what they acquire after an actual tour [57,58]. Tourists’ perceived value is a determining factor in their choice, evaluation, and satisfaction with regard to particular attractions [24,32,58,59]. When travelers perceive the value of health and wellness tourism, they will give extra consideration to the health-enhancing effects brought by this type of tourism [54,60]. In general, perceived value can be subdivided into some dimensions including functional, emotional, and social perceptions, as well as perceived sacrifice [24,61,62,63]. In terms of health and wellness tourism, tourists’ perceived value can be considered as health perceived value, emotion perceived value, and cost perceived value [13,64]. When travelers perceive high quality of health and wellness products or services, they may show higher behavioral intentions in this kind of tourism [24,65].
Tourists with the push motivation may perceive the high value of health and wellness tourism [13,42]. For instance, individuals desire to escape their routines when perceiving the health and emotional value of health and wellness tourism [66]. When it is felt that health and wellness tourism cost including time and money is acceptable, travelers may be able to generate a sense of worthiness towards the tourism [46,47]. The pull motivation of travelers also may positively influence their perceived value of health and wellness tourism [13,37]. Individuals may be attracted by health and wellness products or services and a healthy environmental atmosphere, and for the sake of their health status improvement, they likely perceive a high value of health and wellness tourism [42,54,66]. Interpersonal motivation is an antecedent to holistic tourism and may also play a role in the choice of health and wellness tourism, especially when there are older adults or chronic disease patients in the tour groups [42,66,67]. Based on this, we propose the hypothesis as follows.
H2a. 
Tourists’ escape motivation has a positive impact on their perceived value of health and wellness tourism, which, in tune, positively predicts their behavioral intentions.
H2b. 
Tourists’ consumption motivation has a positive impact on their perceived value of health and wellness tourism, which, in tune, positively predicts their behavioral intentions.
H2c. 
Tourists’ attraction motivation has a positive impact on their perceived value of health and wellness tourism, which, in tune, positively predicts their behavioral intentions.
H2d. 
Tourists’ natural environmental motivation has a positive impact on their perceived value of health and wellness tourism, which, in tune, positively predicts their behavioral intentions.
H2e. 
Tourists’ interpersonal motivation has a positive impact on their perceived value of health and wellness tourism, which, in tune, positively predicts their behavioral intentions.
Based on the theory of push and pull motivation, we explored tourists’ behavioral intention as regards tourism in line with tourism motivation, including escape, consumption, attractive natural environmental, and interpersonal motivation in health and wellness tourism. We focused on the mechanism including the mediating effect of travelers’ perceived value on the aforementioned relations. We designed scales for the variables including behavioral intention, tourism motivation, and perceived value, and methods including Cronbach’s α value, Kaiser–Meyer–Olkin value, Bartlett’s sphericity test, and exploratory factor analysis were used to ensure the reliability and validity of these scales. Confirmatory factor analysis and the structural equation model were used to explore the effects of tourists’ push and pull motivation on their behavioral intentions in health and wellness tourism and the intermediary mechanisms, with perceived value as the mediating variable. The study framework is shown in Figure 1.

3. Methodology

3.1. Data Source

The survey was conducted from June to September 2022 and the respondents were people who have participated in health and wellness tourism in China at least once. With the help of travel agency staff, online questionnaires were distributed to the tourists. We briefed the participants on the purpose of the questionnaire and they were asked to answer voluntarily. A total of 510 questionnaires were distributed, and 493 valid questionnaires were collected, with an effective rate of 96.7%. The samples were obtained from many provinces in China, including Sichuan, Guizhou, Hubei, Hunan, Shandong, Guangdong, Tianjin, Beijing, Jiangsu, Zhejiang, Guanxi, Liaoning, Jilin, Heilongjiang, Anhui, Henan, Shanxi.

3.2. Variables

Behavioral intention Referring to Sthapit, Del Chiappa, Coudounaris, and Björk [21], six items were utilized to portray tourists’ behavioral intentions in health and wellness tourism, as shown in Table 1. Respondents were asked to answer how they approved of these items using a 5-point Likert scale and a higher score represents travelers’ higher behavioral intention in health and wellness tourism. In this study, the Cronbach’s α coefficient of behavioral intention was 0.897.
Escape motivation Referring to Wong, Musa, and Taha [50] and Lee and Li [53], three items were designed to reflect the escape motivation of tourists as shown in Table 1. The participants filled in the degree of agreement with the items using a 5-point Likert scale, with a higher score representing a higher level of escape motivation. In this study, the Cronbach’s α coefficient of escape motivation was 0.800.
Attractive motivation Referring to Wong, Musa, and Taha [50] and Lee and Li [53], three items were used to indicate the attractive motivation of tourists, as shown in Table 1. The participants filled in the degree of agreement with the items using a 5-point Likert scale, with a higher score representing a higher level of attractive motivation. In this study, the Cronbach’s α coefficient of attractive motivation was 0.812.
Consumption motivation Referring to Wong, Musa, and Taha [50], three items were used to indicate consumption motivation of tourists, as shown in Table 1. The participants filled in the degree of agreement with the items using a 5-point Likert scale, with a higher score representing a higher level of consumption motivation. In this study, the Cronbach’s α coefficient of consumption motivation was 0.822.
Natural environmental motivation Referring to Wong, Musa, and Taha [50] and Lee and Li [53], three items were used to represent natural environmental motivation of tourists, as shown in Table 1. The participants filled in the degree of agreement with the items using a 5-point Likert scale, with a higher score representing a higher level of consumption motivation. In this study, the Cronbach’s α coefficient of consumption motivation was 0.812.
Interpersonal motivation Referring to Wong, Musa, and Taha [50], five items were used to indicate interpersonal motivation of tourists, as shown in Table 1. The participants filled in the degree of agreement with the items by using a 5-point Likert scale, with a higher score representing a higher level of consumption motivation. In this study, the Cronbach’s α coefficient of consumption motivation was 0.864.
Perceived value Referring to Dai, Zhao, Wang, and Zeng [58] and Lee and Li [53], tourists’ perceived value of health and wellness tourism was divided into three sub-dimensions, including emotional value, perceived sacrifice, and health value, and the corresponding items were designed, as shown in Table 1. Emotional value was measured by four items using a 5-point Likert scale. A higher score represents higher levels of perceived emotional value of tourists. Perceived sacrifice was assessed by three items using a 5-point Likert scale. A higher score means more acceptable monetary aspects, such as price, and non-monetary aspects, such as time, convenience, and physical efforts, that tourists perceived. Health value was estimated by five items using a 5-point Likert scale. A higher score represents higher degrees of perceived health value of tourists. In this study, the Cronbach’s α coefficients of perceived emotion, cost, health, and the total value were 0.873, 0.814, 0.859, and 0.910, respectively.

4. Results

4.1. Descriptive Statistics

Table 2 shows the demographic information of the respondents. Among them, over half (58.4%) were female. A larger proportion (70%) of the respondents were aged between 18 and 45, meaning that health and wellness tourism tourists are getting younger. Nearly 90% of the participants had a junior college education or above. Over half (59.3%) of the respondents earned 3000 to 10,000 yuan per month. Over half (55.0%) of the participants were company employees. All individuals have traveled for health and wellness tourism at least once.

4.2. Analysis of Validity and Reliability

4.2.1. Exploratory Factor Analysis

The Cronbach’s α coefficients of behavioral intention, five sub-dimensions of tourism motivation, and perceived value were all above or equal to 0.800, meaning that the validity of these variables was good [68]. By using SPSS 22.0, the Kaiser–Meyer–Olkin (KMO) value was calculated and Bartlett’s test was applied. The results showed that the KMO values of behavioral intention, tourism motivation, and perceived value were 0.905, 0.869, and 0.919, respectively, while the approximate square card of behavioral intention, tourism motivation, and perceived value were 3057.033 (df = 66, p < 0.001), 3782.221 (df = 136, p < 0.001), and 1581.617(df = 15, p < 0.001), respectively. The KMO values were all around 0.900, while Bartlett’s tests were accepted [69]. The reliability was good. Exploratory factor analysis can be utilized for the collected data. Principle factor analysis was used to perform exploratory factor analysis. If characteristic root values of principal components were greater than 1, the principal components were extracted [70]. The maximum variance method was used to rotate the factors [70].
Table 1 and Table 3 showed the results of the exploratory factor analysis (If the factors were not extracted, their factor loadings were not listed. However, the details are available to readers upon request from the authors). The results showed that only one component could be extracted from tourists’ behavioral intentions in health and wellness tourism. The eigenvalue of this factor was 3.964, and the variance explanation rates reached 66.071%. In terms of tourists’ motivation scale, five factors were extracted, and these factors were escape, consumption, attractive, natural environmental, and interpersonal motivation, and the variance explanation rates of these five factors after rotation were 18.985%, 13.255%, 13.009%, 12.945%, and 12.664%, respectively, and the cumulative variance explanation rate after rotation reached 70.857%. Three factors were extracted from the perceived value scale. The three factors of perceived value were emotion, cost, and health value, and the explained variances of these three factors after rotation were 25.656%, 24.262%, and 19.523%, respectively, and the cumulative explained variance after rotation was 69.441%. The results showed that the factor loadings were all greater than 0.5, meaning that they all met the internal consistency reliability requirements [70,71].
We calculated the statistical characteristics of the items, and these characteristics included mean, standard deviation, skewness, and kurtosis, as shown in Table 1. The mean scores of each variable are between 3 and 5 on 5-point Likert scales, indicating that the level of participants’ tourism motivation, perceived value, and behavioral intention in health and wellness tourism were all above the medium level. Skewness and kurtosis of measurement items were used to ensure the normality of the data. According to the criteria proposed by Kline [72], if the absolute value of the skewness value is within 3 and the kurtosis value is within 8, the data can be considered to satisfy the requirements of an approximately normal distribution [73]. The absolute values of skewness and kurtosis coefficients of each measurement question item in this study were within the standard range (Table 1). Therefore, the data conformed to an approximate normal distribution.

4.2.2. Confirmatory Factor Analysis

(1)
Aggregation validity of the measurement model
Confirmatory factor analysis was utilized to verify the validity of the structural equation model. The model fit was good according to the ideal fit criteria (Table 3) [74]. The standardized loading coefficients for each observed item were significantly greater than 0.5, implying a high level of correlation between each dimension and its constituent latent variables (Table 1) [70]. The construct reliabilities (CR) of the latent variables were all greater than 0.7 and their average variance extractions (AVE) were all greater than 0.5, indicating high aggregation validity between the variables (Table 1) [71]. The variance inflation factors (VIFs) of the question items were all less than 3, and there was no significant multicollinearity among the items [70].
(2)
Discriminant validity of the measurement model
The correlation coefficients between the study variables were compared with the square roots of their AVEs. The discriminant validity was good when the square root of AVE of a variable is smaller than its correlation coefficient with other variables [75]. There was a higher discriminant validity in this study, and a path analysis of the structural equation model can be applied (Table 4).

4.3. Results of Structural Equation Model

Amos 26.0 was applied to solve the structural equation model. Figure 2 shows the results of the structural equation model. In the structural equation model verification, CMIN was 814.554, CMIN/df was 1.520, GFI, AGFI, NFI, RFI, IFI, TLI, and CFI were all above 0.9, RMSEA was 0.033, less than 0.08, Standardized RMR was 0.035, less than 0.05 [76]. Almost all the fitting indexes were in line with the standards of a general structural equation model, and therefore, the model fits well [74].
Table 5 depicted the influencing paths of the variables. Tourists’ behavioral intentions were significantly positively predicted by tourism motivation, including escape motivation, consumption motivation, attractive motivation, natural environmental motivation, and interpersonal motivation (β = 0.215, p < 0.001; β = 0.274, p < 0.001; β = 0.149, p = 0.002; β = 0.118, p = 0.004; β = 0.106, p = 0.030, respectively). Tourists’ perceived value was significantly positively predicted by escape motivation, attractive motivation, natural environmental motivation, and interpersonal motivation (β = 0.376, p < 0.001; β = 0.264, p < 0.001; β = 0.151, p = 0.001; β = 0.241, p < 0.001, respectively). Travelers’ consumption motivation did not have a significant impact on their perceived value in health and wellness tourism (β = 0.052, p = 0.273). Travelers’ perceived value significantly positively predicted their behavioral intention in health and wellness tourism (β = 0.249, p = 0.002).
The bias-corrected bootstrap method with 5000 samples was utilized to verify the mediating effect of perceived value on the relations between behavioral intention and tourism motivation, including escape, consumption, attractive, natural environmental, and interpersonal motivation. The results showed that tourists’ perceived value significantly partially mediates the association between behavioral intention and escape, attractive, natural environmental, and interpersonal motivation, and the indirect effects accounted for 30.2%, 30.4%, 24.4%, and 36.4% of the total effect (ps < 0.05 and the 95% confidence interval includes 0, Table 6). H2a, H2c, H2d, and H2e were tested. The indirect effect of “consumption motivation → perceived value → behavioral intention” was insignificant (p = 0.199 and the 95% confidence interval does not include 0, Table 6), indicating that tourists’ perceived value was not a significant mediator in the relation between consumption motivation and behavioral intention. H2b was not supported.

5. Conclusions, Discussion, and Implications

5.1. Conclusions

Recently, health and wellness tourism has been developing, especially in China, possibly due to the relaxation of COVID-19 prevention and control restrictions [2,8,13]. However, few studies have focused on tourists’ psychological variables, including motivation, perceived value, and behavioral intention in health and wellness tourism. Based on the theory of push and pull motivation, factor analysis and structural equation models were utilized to explore the relations between tourism motivation and behavioral intention in health and wellness tourism, and the mediating role of perceived value in the aforementioned relation. The results showed that (i) tourists’ motivation significantly positively predicted their behavioral intention in health and wellness tourism and (ii) perceived value significantly played a partial mediating role in the association between tourists’ motivation and behavioral intention in health and wellness tourism. In particular, the four sub-dimensions of tourists’ motivation, including escape motivation, attractive motivation, natural environmental motivation, and interpersonal motivation significantly positively impacted their perceived value, which in tune significantly positively impacted their behavioral intention, while no empirical evidence supported the mediation effect of perceived value on the correlation between behavioral intention and consumption motivation.

5.2. Discussion

Empirical evidence indicated that tourists’ push motivation, including escape and consumption motivation, have greater levels of direct influence on their behavioral intention in health and wellness tourism. The important reason for travelers to start a journey is that people are currently facing stress in their work, family, and other aspects, and they want to forget the worries of real life by escaping from the original environment, and health and wellness tourism can precisely meet their needs in this regard [49,50]. In future development, health and wellness tourism scenic spots should strive to create a comfortable, relaxing, and pleasant healing atmosphere and let travelers feel a healthy environment different from their routines [13]. The empirical findings showed that the acceptable sacrifice is also one of the key reasons for travelers to consider choosing health and wellness tourism. Health and wellness tourism enterprises can pay special attention to the cost expenditure of tourists, and moderate concessions of benefits to them, so that they really feel value for money in tourism [58].
The finding supported the significant positive impacts of travelers’ pull motivation on their behavioral intentions in health and wellness tourism, although these direct effects were relatively weaker than the influences of push motivation. This is similar to conclusions of the related literature [29,34,77]. Health and wellness tourism industries should focus more on the quality of products or services to meet the intrinsic needs of travelers, such as escaping their daily routine [78,79]. Health and wellness tourism companies are encouraged to invest more in the construction of tourism products or services rather than in promotion and publicity [9,13,80].
Tourists’ perceived value plays a significant mediating role in the relations between behavioral intention in health and wellness tourism and escape, attractive, natural environmental, interpersonal motivation. When travelers perceive the value of health and wellness tourism, including emotion value, perceived sacrifice, and health value, they will be more likely to choose health and wellness tourism, driven by their tourism motivation [58,62,63]. Health and wellness tourism industries can promote the benefits of products or services, such as health maintenance, wellness, and rehabilitation, to attract people and capture the market [13,63,81]. No empirical evidence supported the mediating role of perceived value in the association between tourists’ behavioral intention and consumption motivation as the possible reason that the perceived sacrifice of visitors does not necessarily correlate with their perceived value of health and wellness tourism [30,42]. Tourists, especially the wealthy group, may consider that health is priceless [82]. In this case, health and wellness tourism companies can set up mass and high-end products or services targeting different income groups.
Higher levels of tourist participation cannot only attract tourists to the tourist destination, but can also be closely related to the tourists’ perceived value and satisfaction evaluation [81]. The positive experiential feel of tourism allows travelers to experience the local culture, and in this case, they can tap the freshness and fun of the trips [55,83]. Health and wellness tourism is easily embedded in an experiential style of tourism [18,84]. Therefore, scenic spots can increase the deep integration of sports, health activities, and study activities beneficial to physical and mental health for different groups [13]. For example, for the parent–child market, forest adventure activities and family camping camps can be launched [85,86]; for student groups, field mini-lecture hall activities can be held to expand outdoor knowledge [85,87]; for older groups, health herbal classes and activities such as tea tasting and health meals sharing sessions can be organized [50]. These activities can enhance the participation of different visitor groups and enrich their health and wellness tourism experience, which, in turn, may improve their revisitation rate and willingness to recommend health and wellness tourism.

5.3. Implications

This study investigates tourists’ behavioral intention in health and wellness tourism from the perspective of their push and pull motivation, which may fill the gap in existing theories. In-depth research on tourists’ mindsets and choices can improve the theoretical utility of health and wellness tourism. Tourists participating in health and wellness tourism often pursue the experience of restoring body and mind, which reflects their special psychological needs and behavioral characteristics [18,21]. Understanding and grasping tourists’ motivation and perceived value is actually focusing on tourists’ psychological condition, so as to develop targeted health and wellness tourism products or services [59]. In this vein, personalized tourism services can be provided and the healthy development of health and wellness tourism can be truly realized [13,14]. In addition, paying attention to tourists’ tourism psychological activities can enrich the theoretical system of sociology and psychology in the study of tourism experience value theory. All in all, the empirical findings can provide references for future relevant policies and construction at the government level and tourism enterprise level, and, to a certain extent, complement the theoretical study of health and wellness tourism.

6. Limitations

There are several limitations to this study. Firstly, this paper mainly employed factor analysis and structural equation modeling to study the influencing mechanism, but we did not test the causality between tourists’ behavioral intention and tourism motivation, although we explored the mediating role of perceived value in the aforementioned effect. Secondly, over half of the respondents were company employees, implying a lower heterogeneous characterization of the sample with occupation classification. However, company employees have travel spending power, are prone to travel for relaxation, and have a greater propensity for health and wellness tourism. They can be the main target audience for the design of health and wellness tourism products.

Author Contributions

T.G.: conceptualization, methodology, article structure design, supervision, project administration, resources, funding acquisition; J.Z.: conceptualization, methodology, writing—review and editing, validation; W.L.: software, data curation, data analysis, validation, visualization, writing—original draft; J.L.: conceived and designed the experiments, validation. J.S.: software, validation. All authors have read and agreed to the published version of the manuscript.

Funding

This research was supported by the China Postdoctoral Science Foundation (no. 2020M680640), Hubei Humanities and Social Sciences Key Research Base Dabie Mountain Tourism Economy and Culture Research Center (no. 203202224004), 2022 Humanities and Social Sciences Research Project of Hubei Provincial Education Department (no. 22Q258).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data connected to this research are available from the corresponding author under request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Pu, B.; Du, F.; Zhang, L.; Qiu, Y. Subjective knowledge and health consciousness influences on health tourism intention after the COVID-19 pandemic: A prospective study. J. Psychol. Afr. 2021, 31, 131–139. [Google Scholar] [CrossRef]
  2. Lee, C.-C.; Chen, M.-P. The impact of COVID-19 on the travel and leisure industry returns: Some international evidence. Tour. Econ. 2022, 28, 451–472. [Google Scholar] [CrossRef]
  3. Ceron, M.; Palermo, C.M.; Grechi, D. COVID-19 Response Models and Divergences Within the EU: A Health Dis-Union. Stat. Politics Policy 2021, 12, 219–268. [Google Scholar] [CrossRef]
  4. Chica, M.; Hernández, J.M.; Bulchand-Gidumal, J. A collective risk dilemma for tourism restrictions under the COVID-19 context. Sci. Rep. 2021, 11, 5043. [Google Scholar] [CrossRef] [PubMed]
  5. Han, S.; Yoon, A.; Kim, M.J.; Yoon, J.-H. What influences tourist behaviors during and after the COVID-19 pandemic? Focusing on theories of risk, coping, and resilience. J. Hosp. Tour. Manag. 2022, 50, 355–365. [Google Scholar] [CrossRef]
  6. Kumudumali, S.H.T. Impact of COVID-19 on Tourism Industry: A Review. Munich Personal RePEc Archives Paper No.102834. 2020. Available online: https://mpra.ub.uni-muenchen.de/102834/1/MPRA_paper_102834.pdf (accessed on 8 February 2023).
  7. Sánchez-Cañizares, S.M.; Cabeza-Ramírez, L.J.; Muñoz-Fernández, G.; Fuentes-García, F.J. Impact of the perceived risk from COVID-19 on intention to travel. Curr. Issues Tour. 2021, 24, 970–984. [Google Scholar] [CrossRef]
  8. Mallapaty, S. China is relaxing its zero-COVID policy-here’s what scientists think. Nature 2022, 612, 383–384. [Google Scholar] [CrossRef]
  9. Li, L.; Chen, X. Empirical Research into the Development Mechanism of Industry Innovation of Health and Wellness Tourism in the Context of the Sharing Economy. Int. J. Environ. Res. Public Health 2022, 19, 12479. [Google Scholar] [CrossRef]
  10. Zhang, X. Characteristics of mountain climate change and optimization of agricultural tourism management based on satellite Internet of Things. Arab. J. Geosci. 2021, 14, 1625. [Google Scholar] [CrossRef]
  11. Wakefield, C. Development and Trends of Wellness Tourism in China. Available online: https://www.cushmanwakefield.com.cn/images/upload/3/96F52809991A4089AEA4D1CD6F2B54A0.pdf (accessed on 8 February 2023).
  12. WTO. Agenda 21 for the Travel and Tourism Industry. Towards Environmentally Sustainable Development; World Travel & Tourism Council: New York, NY, USA, 1995; pp. 1–78. [Google Scholar]
  13. Zhong, L.; Deng, B.; Morrison, A.M.; Coca-Stefaniak, J.A.; Yang, L. Medical, Health and Wellness Tourism Research—A Review of the Literature (1970–2020) and Research Agenda. Int. J. Environ. Res. Public Health 2021, 18, 10875. [Google Scholar] [CrossRef] [PubMed]
  14. Romanova, G.; Vetitnev, A.; Dimanche, F. Health and wellness tourism. In Tourism in Russia: A Management Handbook; Emerald: Bingley, UK, 2015; pp. 231–287. [Google Scholar]
  15. Jolliffe, L.; Cave, J. Health and Wellness tourism. In Tourism: The Key Concepts; Routledge: London, UK, 2012. [Google Scholar]
  16. Chen, K.-H.; Chang, F.-H.; Wu, C. Investigating the wellness tourism factors in hot spring hotel customer service. Int. J. Contemp. Hosp. Manag. 2013, 25, 1092–1114. [Google Scholar] [CrossRef]
  17. Lampropoulos, V.; Panagiotopoulou, M.; Stratigea, A. Assessing the Performance of Current Strategic Policy Directions towards Unfolding the Potential of the Culture–Tourism Nexus in the Greek Territory. Heritage 2021, 4, 3157–3185. [Google Scholar] [CrossRef]
  18. Pramod, S.; Nayak, J.K. Testing the role of tourists’ emotional experiences in predicting destination image, satisfaction, and behavioral intentions: A case of wellness tourism. Tour. Manag. Perspect. 2018, 28, 41–52. [Google Scholar]
  19. Kim, E.; Chiang, L.; Tang, L. Investigating wellness tourists’ motivation, engagement, and loyalty: In search of the missing link. J. Travel Tour. Mark. 2017, 34, 867–879. [Google Scholar] [CrossRef]
  20. Fishbein, M.; Manfredo, M.J. A theory of behavior change in influencing human behavior: Theory and applications in recreating. Tour. Nat. Resour. Manag. 1992, 24, 29–50. [Google Scholar]
  21. Sthapit, E.; Del Chiappa, G.; Coudounaris, D.N.; Björk, P. Tourism experiences, memorability and behavioural intentions: A study of tourists in Sardinia, Italy. Tour. Rev. 2019, 75, 533–558. [Google Scholar] [CrossRef] [Green Version]
  22. Su, Y.; Zhao, L. Research on online education consumer choice behavior path based on informatization. China Commun. 2021, 18, 233–252. [Google Scholar] [CrossRef]
  23. Fishbein, M.; Ajzen, I. Belief, attitude, intention, and behavior: An introduction to theory and research. Philos. Rhetor. 1977, 10, 177–187. [Google Scholar]
  24. Carvache-Franco, M.; Carrascosa-López, C.; Carvache-Franco, W. The Perceived Value and Future Behavioral Intentions in Ecotourism: A Study in the Mediterranean Natural Parks from Spain. Land 2021, 10, 1133. [Google Scholar] [CrossRef]
  25. Williams, P.; Soutar, G.N. Value, satisfaction and behavioral intentions in an adventure tourism context. Ann. Tour. Res. 2009, 36, 413–438. [Google Scholar] [CrossRef]
  26. Saiprasert, W.; Xu, B.; Tavitiyaman, P. The Relationships Among Perceived Medical Quality, Well-Being Perception, And Behavioral Intention: A Comparison Between Domestic And Overseas Medical Destinations. J. Qual. Assur. Hosp. Tour. 2022, 23, 1011–1036. [Google Scholar] [CrossRef]
  27. Li, Y.; Wen, T. Impact of Cognition and Social Trust on Forest-Based Health Tourism Intention during COVID-19. Sustainability 2023, 15, 714. [Google Scholar] [CrossRef]
  28. He, M.; Liu, B.; Li, Y. Recovery experience of wellness tourism and place attachment: Insights from feelings-as-information theory. Int. J. Contemp. Hosp. Manag. 2022, 34, 2934–2952. [Google Scholar] [CrossRef]
  29. Lee, J.; Kim, J.-J. A Study on Market Segmentation according to Wellness Tourism Motivation and Differences in Behavior between the Groups—Focusing on Satisfaction, Behavioral Intention, and Flow. Int. J. Environ. Res. Public Health 2023, 20, 1063. [Google Scholar] [CrossRef]
  30. Li, C.; Huang, X. How Does COVID-19 Risk Perception Affect Wellness Tourist Intention: Findings on Chinese Generation Z. Sustainability 2023, 15, 141. [Google Scholar] [CrossRef]
  31. Zopiatis, A.; Theocharous, A.L.; Constanti, P.; Tjiapouras, L. Quality, satisfaction and customers’ future intention: The case of hotels’ fitness centers in Cyprus. J. Qual. Assur. Hosp. Tour. 2017, 18, 1–24. [Google Scholar] [CrossRef]
  32. Alkhawaldeh, A.M. Religious tourism post-COVID-19 in the context of Muslim countries: Destination image, perceived value, intention to revisit Makkah and health risk as moderator. GeoJ. Tour. Geosites 2022, 43, 858–865. [Google Scholar] [CrossRef]
  33. Tuzunkan, D. Wellness tourism: What motivates tourists to participate. Int. J. Appl. Eng. Res. 2018, 13, 651–661. [Google Scholar]
  34. Bočkus, D.; Tammi, T.; Vento, E.; Komppula, R. Wellness tourism service preferences and their linkages to motivational factors: A multiple case study. Int. J. Spa Wellness 2022, 1–31. [Google Scholar] [CrossRef]
  35. Dean, D.; Suhartanto, D. The formation of visitor behavioral intention to creative tourism: The role of push–Pull motivation. Asia Pac. J. Tour. Res. 2019, 24, 393–403. [Google Scholar] [CrossRef]
  36. Katsikari, C.; Hatzithomas, L.; Fotiadis, T.; Folinas, D. Push and pull travel motivation: Segmentation of the greek market for social media marketing in tourism. Sustainability 2020, 12, 4770. [Google Scholar] [CrossRef]
  37. Uysal, M.; Hagan, L.A.R. Motivation of pleasure travel and tourism. Encycl. Hosp. Tour. 1993, 21, 798–810. [Google Scholar]
  38. Crompton, J.L. Motivations for pleasure vacation. Ann. Tour. Res. 1979, 6, 408–424. [Google Scholar] [CrossRef]
  39. Rocha, G.; Seabra, C.; Silva, C.; Abrantes, J.L. Holistic tourism: Motivations, self-image and satisfaction. J. Tour. Res. Hosp. 2016, 4, 1–9. [Google Scholar] [CrossRef] [Green Version]
  40. Duman, T.; Erkaya, Y.; Topaloglu, O. Vacation interests and vacation type preferences in Austrian domestic tourism. J. Travel Tour. Mark. 2020, 37, 217–245. [Google Scholar] [CrossRef]
  41. Wei, A. Research on Zhejiang Health Tourism Development under the Background of Rural Revitalization. Front. Bus. Econ. Manag. 2022, 5, 49–54. [Google Scholar] [CrossRef]
  42. Liu, B.; Li, Y.; Kralj, A.; Moyle, B.; He, M. Inspiration and wellness tourism: The role of cognitive appraisal. J. Travel Tour. Mark. 2022, 39, 173–187. [Google Scholar] [CrossRef]
  43. Dillette, A.K.; Douglas, A.C.; Andrzejewski, C. Dimensions of holistic wellness as a result of international wellness tourism experiences. Curr. Issues Tour. 2021, 24, 794–810. [Google Scholar] [CrossRef]
  44. Huang, L.; Xu, H. A cultural perspective of health and wellness tourism in China. J. China Tour. Res. 2014, 10, 493–510. [Google Scholar] [CrossRef]
  45. Smith, M.; Puczkó, L. Health and Wellness Tourism; Routledge: London, UK, 2008. [Google Scholar]
  46. Downward, P.; Lumsdon, L. Beyond the demand for day-visits: An analysis of visitor spending. Tour. Econ. 2003, 9, 67–76. [Google Scholar] [CrossRef]
  47. Marcussen, C.H. Determinants of tourist spending in cross-sectional studies and at Danish destinations. Tour. Econ. 2011, 17, 833–855. [Google Scholar] [CrossRef]
  48. Ghezelbash, A.H.; Seyed Abdollahi, S.M. Health Tourism Development; A Strategy to Deal with Sanctions (Case Study: Medical Tourism Development in Free Trade Zones of Iran). Int. J. Resist. Econ. 2014, 2, 13–30. [Google Scholar]
  49. Ateljevic, I.; Doorne, S. Tourism as an escape: Long-term travelers in New Zealand. Tour. Anal. 2000, 5, 131–136. [Google Scholar]
  50. Wong, B.K.M.; Musa, G.; Taha, A.Z. Malaysia my second home: The influence of push and pull motivations on satisfaction. Tour. Manag. 2017, 61, 394–410. [Google Scholar] [CrossRef]
  51. Heung, V.C.; Kucukusta, D. Wellness tourism in China: Resources, development and marketing. Int. J. Tour. Res. 2013, 15, 346–359. [Google Scholar] [CrossRef]
  52. Majeed, S.; Ramkissoon, H. Health, wellness, and place attachment during and post health pandemics. Front. Psychol. 2020, 11, 573220. [Google Scholar] [CrossRef]
  53. Lee, C.-W.; Li, C. The process of constructing a health tourism destination index. Int. J. Environ. Res. Public Health 2019, 16, 4579. [Google Scholar] [CrossRef] [Green Version]
  54. Elbaz, A.M.; Abou Kamar, M.S.; Onjewu, A.-K.E.; Soliman, M. Evaluating the antecedents of health destination loyalty: The moderating role of destination trust and tourists’ emotions. Int. J. Hosp. Tour. Adm. 2023, 24, 1–28. [Google Scholar] [CrossRef]
  55. Connell, J. Contemporary medical tourism: Conceptualisation, culture and commodification. Tour. Manag. 2013, 34, 1–13. [Google Scholar] [CrossRef]
  56. Wendri, I.G.M.; Nadra, N.M.; Armoni, N.L.E. Spa Products as Main Orientation in Wellness Tourism in Bali. Soshum J. Sos. Hum. 2018, 8, 9–22. [Google Scholar] [CrossRef]
  57. Duman, T.; Mattila, A.S. The role of affective factors on perceived cruise vacation value. Tour. Manag. 2005, 26, 311–323. [Google Scholar] [CrossRef]
  58. Dai, J.; Zhao, L.; Wang, Q.; Zeng, H. Research on the Impact of Outlets’ Experience Marketing and Customer Perceived Value on Tourism Consumption Satisfaction and Loyalty. Front. Psychol. 2022, 13, 944070. [Google Scholar] [CrossRef] [PubMed]
  59. Wang, X.; Leou, C.H. A study of tourism motivation, perceived value and destination loyalty for Macao cultural and heritage tourists. Int. J. Mark. Stud. 2015, 7, 83–91. [Google Scholar] [CrossRef]
  60. Chen, K.-H.; Chang, F.-H.; Liu, F.-Y. Wellness tourism among seniors in Taiwan: Previous experience, service encounter expectations, organizational characteristics, employee characteristics, and customer satisfaction. Sustainability 2015, 7, 10576–10601. [Google Scholar] [CrossRef] [Green Version]
  61. Shen, Y. Perceived Value in Tourism Experience. In TTRA 6th Annual Graduate Student Research Workshop; Travel and Tourism Research Association: Vail, CO, USA, 2016. [Google Scholar]
  62. Pandža Bajs, I. Tourist perceived value, relationship to satisfaction, and behavioral intentions: The example of the Croatian tourist destination Dubrovnik. J. Travel Res. 2015, 54, 122–134. [Google Scholar] [CrossRef]
  63. Habibi, A.; Ariffin, A.A.M.; Aziz, N.A. The influence of perceived benefits, perceived sacrifices and perceived value on behavioural intention in the context of medical tourism. Int. J. Serv. Econ. Manag. 2018, 9, 295–316. [Google Scholar] [CrossRef]
  64. Hallem, Y.; Barth, I. Customer-perceived value of medical tourism: An exploratory study—The case of cosmetic surgery in Tunisia. J. Hosp. Tour. Manag. 2011, 18, 121–129. [Google Scholar] [CrossRef]
  65. Choi, Y.; Kim, J.; Lee, C.-K.; Hickerson, B. The role of functional and wellness values in visitors’ evaluation of spa experiences. Asia Pac. J. Tour. Res. 2015, 20, 263–279. [Google Scholar] [CrossRef]
  66. Li, L.; Ragavan, N.A.; Patwary, A.K.; Baijun, W. Measuring patients’ satisfaction toward health tourism in Malaysia through hospital environment, nutritional advice, and perceived value: A study on Chinese exchange students. Front. Public Health 2022, 10, 893439. [Google Scholar] [CrossRef] [PubMed]
  67. Kim, S.; Bi, Y.; Kim, I. Travel Website Atmospheres Inducing Older Travelers’ Familiarity: The Moderating Role of Cognitive Age. Int. J. Environ. Res. Public Health 2021, 18, 4812. [Google Scholar] [CrossRef] [PubMed]
  68. Sijtsma, K. On the use, the misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika 2009, 74, 107–120. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  69. Chao, M.-T.; Glaser, R.E. The Exact Distribution of Bartlett’s Test Statistic for Homogeneity of Variances with Unequal Sample Sizes. J. Am. Stat. Assoc. 1978, 73, 422–426. [Google Scholar] [CrossRef]
  70. Fabrigar, L.R.; Wegener, D.T.; MacCallum, R.C.; Strahan, E.J. Evaluating the use of exploratory factor analysis in psychological research. Psychol. Methods 1999, 4, 272–299. [Google Scholar] [CrossRef]
  71. Costello, A.B.; Osborne, J. Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Pract. Assess. Res. Eval. 2005, 10, 7. [Google Scholar]
  72. Kline, R.B. Structural Equation Modeling; American Psychological Association: Guilford, NY, USA, 1998. [Google Scholar]
  73. Groeneveld, R.A.; Meeden, G. Measuring skewness and kurtosis. J. R. Stat. Soc. Ser. D (Stat.) 1984, 33, 391–399. [Google Scholar] [CrossRef]
  74. Hoyle, R.H. Confirmatory factor analysis. In Handbook of Applied Multivariate Statistics and Mathematical Modeling; Elsevier: Amsterdam, The Netherlands, 2000; pp. 465–497. [Google Scholar]
  75. Fornell, C.; Larcker, D.F. Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics. J. Mark. Res. 1981, 18, 382–388. [Google Scholar] [CrossRef]
  76. Byrne, B.M. Structural equation modeling with AMOS, EQS, and LISREL: Comparative approaches to testing for the factorial validity of a measuring instrument. Int. J. Test. 2001, 1, 55–86. [Google Scholar] [CrossRef]
  77. Yoo, I.Y.; Lee, T.J.; Lee, C.-K. Effect of health and wellness values on festival visit motivation. Asia Pac. J. Tour. Res. 2015, 20, 152–170. [Google Scholar] [CrossRef]
  78. Arowosafe, F.; Akinwotu, O.; Tunde-Ajayi, O.; Omosehin, O.; Osabuohien, E. Push and pull motivation factors: A panacea for tourism development challenges in Oluminrin waterfalls, Nigeria. J. Policy Res. Tour. Leis. Events 2022, 14, 63–74. [Google Scholar] [CrossRef]
  79. Traouda, V.; Mpogiatzidis, P. Dialysis and medical tourism. Investigating patients’ perceptions in Greece. Int. J. Hum. Rights Healthc. 2021, 14, 411–425. [Google Scholar] [CrossRef]
  80. Andreu, M.G.N.-l.; Font-Barnet, A.; Roca, M.E. Wellness tourism—New challenges and opportunities for tourism in Salou. Sustainability 2021, 13, 8246. [Google Scholar] [CrossRef]
  81. Habibi, A.; Rasoolimanesh, S.M. Experience and service quality on perceived value and behavioral intention: Moderating effect of perceived risk and fee. J. Qual. Assur. Hosp. Tour. 2021, 22, 711–737. [Google Scholar] [CrossRef]
  82. Muravska, T.; Dyomkin, D. Nations resort to a redistribution to rescue the western model for the post-pandemic world: An EU and Canadian approach. Stud. Eur.-Stud. Eur. Aff. 2020, 4, 45–74. [Google Scholar]
  83. Clark-Kennedy, J.; Cohen, M. Indulgence or therapy? Exploring the characteristics, motivations and experiences of hot springs bathers in Victoria, Australia. Asia Pac. J. Tour. Res. 2017, 22, 501–511. [Google Scholar] [CrossRef]
  84. Meng, B.; Cui, M. The role of co-creation experience in forming tourists’ revisit intention to home-based accommodation: Extending the theory of planned behavior. Tour. Manag. Perspect. 2020, 33, 100581. [Google Scholar] [CrossRef]
  85. Gardiner, S.; Kwek, A. Chinese participation in adventure tourism: A study of generation Y international students’ perceptions. J. Travel Res. 2017, 56, 496–506. [Google Scholar] [CrossRef]
  86. Pomfret, G. Family adventure tourism: Towards hedonic and eudaimonic wellbeing. Tour. Manag. Perspect. 2021, 39, 100852. [Google Scholar] [CrossRef]
  87. Gallarza, M.G.; Saura, I.G. Value dimensions, perceived value, satisfaction and loyalty: An investigation of university students’ travel behaviour. Tour. Manag. 2006, 27, 437–452. [Google Scholar] [CrossRef]
Figure 1. The Framework.
Figure 1. The Framework.
Ijerph 20 04339 g001
Figure 2. Result of structural equation model. Notes. N = 493; * p < 0.05, ** p < 0.01, *** p < 0.001.
Figure 2. Result of structural equation model. Notes. N = 493; * p < 0.05, ** p < 0.01, *** p < 0.001.
Ijerph 20 04339 g002
Table 1. Measurement items and statistical characteristics of the variables.
Table 1. Measurement items and statistical characteristics of the variables.
VariablesDimensionsCodesMeasurement ItemsMeanStd. Dev.SkewnessKurtosisFactor LoadingAVECRVIF
Behavioral Intention-BI1I will continue to participate in health and wellness tourism.3.8600.999−0.8400.4360.8020.6610.9002.075
BI2Health and wellness will be my first choice for future trips.3.8201.125−1.0130.4110.8582.623
BI3I would choose health and wellness tourism even if the cost is going up.3.8601.084−1.0290.5500.8062.103
BI4I will actively promote health and wellness tourism to my family, friends, and colleagues.3.8401.127−0.9550.2640.8472.500
BI5I will actively recommend health and wellness tourism to people in the neighborhood.3.8901.167−1.0870.5020.7972.023
BI6When someone comes to me for travel advice, I recommend health and wellness tourism.3.8001.085−0.9880.5050.7631.809
Tourism MotivationEscape motivationEM1I am there to feel the slow pace of life.4.1300.904−1.3942.2700.7270.8040.5781.617
EM2I am there to relieve stress.4.1500.955−1.3862.0200.8141.966
EM3I am trying to escape the worries of real life for a while.4.2400.949−1.2741.2990.8071.691
Consumption motivationCM1It is easy to get around here.4.0601.060−1.1530.6800.8120.8280.6161.958
CM2The cost of transportation is within acceptable limits.3.9700.978−0.8420.0080.8772.223
CM3The local consumption level is appropriate.4.0300.969−0.9330.3820.7561.646
Attractive motivationAM1I get word-of-mouth recommendations from friends and family.4.1601.039−1.2340.7130.8430.8140.5941.982
AM2I am attracted by the promotion of online travel platforms, advertisements, etc.4.0500.938−1.2251.4380.7731.811
AM3I am attracted by the sharing of other people’s tour experiences on social media platforms such as WeChat, Weibo, and short videos.4.0900.958−1.1760.9300.8081.656
Natural environmental motivationNEM1The local climate is good and the temperature is comfortable.4.0001.069−1.1550.9160.8730.8270.6122.355
NEM2The air is fresh here.4.0601.060−1.0620.4850.7851.701
NEM3This place can be relaxing for the mind and body.4.0700.951−0.8710.1180.7841.792
Interpersonal motivationIM1I am here to spend time with my family.3.8901.158−0.8710.0190.7520.8240.5621.996
IM2I am here to visit friends and family in the neighborhood.4.0801.061−1.0910.5760.7302.044
IM3I come here to improve my relationship with my companions.3.9300.981−0.7950.2340.7561.748
IM4I am here to share my travel experiences with others and gain social acceptance after my trip.3.9801.070−1.1370.9350.7771.998
IM5I am here to make new friends and expand my social circle.4.0900.972−1.3441.6980.7731.842
Perceived ValueEmotional valueEV1I felt the good recreational environment here.3.8801.178−1.0500.2180.7770.8740.6362.379
EV2I obtained a relaxed mood.3.6601.279−0.852−0.3260.8182.364
EV3I temporarily forgot the troubles of real life.3.8901.224−0.995−0.0120.7582.002
EV4I experienced pleasurable feelings.3.7801.189−0.936−0.1460.8002.442
Perceived sacrificePS1The travel time for this trip was acceptable.3.7501.218−0.946−0.0670.7990.8150.5952.085
PS2The overall consumption level of this place was acceptable.3.8501.247−1.015−0.0220.8201.902
PS3The accommodation, food, and shopping were convenient and cost-effective.3.9601.163−0.910−0.3110.7461.891
Health valueHV1My body got a workout.3.9701.049−1.0700.7590.7410.8590.5512.318
HV2My physique was improved.3.8801.057−0.9960.5930.7511.901
HV3I recognized the importance of a healthy lifestyle.3.9001.001−1.0721.1080.6982.226
HV4I recognized the importance of good eating habits.3.9701.017−0.9260.3090.7331.885
HV5My overall personal state has been adjusted.3.9101.058−0.9880.5300.6971.882
Notes. “-” represents no dimension of behavioral intention.
Table 2. Demographic Profile of Respondents.
Table 2. Demographic Profile of Respondents.
IndicesItemsNumbersPercentage (%)
GenderFemale20541.6
Male28858.4
Age18–3017335.1
31–4517234.9
46–6011924.1
>60295.9
Education levelHigh school and below459.1
Junior college education11022.3
Undergraduate27455.6
Postgraduate6413.0
Monthly income (RMB)<30007214.6
3001–50009018.3
5001–10,00020241.0
>10,00012926.2
OccupationStudent459.1
Technician/academician438.7
Medical Staff163.2
Farmer163.2
Freelancer285.7
Worker336.7
Business/Company Staff27155.0
Official from government183.7
Individual operators214.3
Other20.4
Notes: N = 493.
Table 3. Model fitness test results.
Table 3. Model fitness test results.
IndicatorsReference StandardsResults
CMIN/df1–3 is excellent, 1.473
3–5 is good
RMSEA<0.05 is excellent, <0.08 is good0.031
IFI>0.9 is excellent, 0.972
>0.8 is good
TLI>0.9 is excellent, 0.969
>0.8 is good
CFI>0.9 is excellent, 0.972
>0.8 is good
Table 4. Discriminant validity of measurement models.
Table 4. Discriminant validity of measurement models.
Variables1234567
1. Behavioral intention(0.813)
2. Escape motivation0.598 ***(0.897)
3. Consumption motivation0.572 ***0.368 ***(0.910)
4. Attractive motivation0.546 ***0.407 ***0.388 ***(0.902)
5. Natural environmental motivation0.478 ***0.391 ***0.261 ***0.295 ***(0.909)
6. Interpersonal motivation0.570 ***0.469 ***0.409 ***0.386 ***0.420 ***(0.908)
7. Perceived value0.665 ***0.597 ***0.420 ***0.523 ***0.468 ***0.558 ***(0.710)
Note. ***, p < 0.001; The value in parentheses refers to the square root of AVE of the corresponding variable.
Table 5. Pathways analysis.
Table 5. Pathways analysis.
Influencing PathwaysStandardized CoefficientsS.E.p
Escape motivation → Behavioral intention0.215 0.064 <0.001
Consumption motivation → Behavioral intention0.274 0.046 <0.001
Attractive motivation → Behavioral intention0.149 0.052 0.002
Natural environmental motivation → Behavioral intention0.118 0.043 0.004
Interpersonal motivation → Behavioral intention0.106 0.051 0.030
Escape motivation → Perceived value0.376 0.069 <0.001
Consumption motivation → Perceived value0.052 0.052 0.273
Attractive motivation → Perceived value0.264 0.059 <0.001
Natural environmental motivation → Perceived value0.151 0.051 0.001
Interpersonal motivation → Perceived value0.241 0.060 <0.001
Perceived value → Behavioral intention0.249 0.076 0.002
Table 6. Mediation analysis.
Table 6. Mediation analysis.
Mediation PathsCategory of EffectStandard EstimateS.E.95% Confidence Interval
LLCIULCI
EM→PV→BIDirect effect0.2380.0600.1320.371
Indirect effect0.1030.0330.0550.186
Total effect0.3410.0550.2470.465
CM→PV→BIDirect effect0.2910.0560.1910.417
Indirect effect0.0140.014−0.0080.047
Total effect0.3050.0570.2040.427
AM→PV→BIDirect effect0.1620.0430.7900.249
Indirect effect0.0710.0270.0330.146
Total effect0.2330.0430.1510.323
NEM→PV→BIDirect effect0.1250.0340.0540.187
Indirect effect0.0400.0200.0090.090
Total effect0.1640.0360.0870.230
IM→PV→BIDirect effect0.1110.0420.0260.190
Indirect effect0.0630.0290.0230.146
Total effect0.1730.0410.0930.253
Notes. EM represents escape motivation; CM represents consumption motivation; AM represents attractive motivation; NEM represents natural environmental motivation; IM represents interpersonal motivation; PV represents perceived value; BI represents behavioral intention. LLCI and ULCI mean lower and upper confidence interval limits, respectively.
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Gan, T.; Zheng, J.; Li, W.; Li, J.; Shen, J. Health and Wellness Tourists’ Motivation and Behavior Intention: The Role of Perceived Value. Int. J. Environ. Res. Public Health 2023, 20, 4339. https://doi.org/10.3390/ijerph20054339

AMA Style

Gan T, Zheng J, Li W, Li J, Shen J. Health and Wellness Tourists’ Motivation and Behavior Intention: The Role of Perceived Value. International Journal of Environmental Research and Public Health. 2023; 20(5):4339. https://doi.org/10.3390/ijerph20054339

Chicago/Turabian Style

Gan, Ting, Jiansong Zheng, Wei Li, Jiaxin Li, and Junxian Shen. 2023. "Health and Wellness Tourists’ Motivation and Behavior Intention: The Role of Perceived Value" International Journal of Environmental Research and Public Health 20, no. 5: 4339. https://doi.org/10.3390/ijerph20054339

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