1. Introduction
Psychological research argues that human cognitions and behaviors are formed hierarchically from value to behavior. People’s values are the most basic cognitions that affect their attitudes and behaviors in this hierarchy [
1,
2]. The nature of values is too abstract for social science research to use them for predicting attitudes and behaviors. Thus, value orientations must be used as patterns of basic beliefs that clarify values [
3]. The literature suggests that understanding people’s environmental value orientations helps the authorities anticipate people’s intentions to interact with the natural resources and make appropriate environmental policies. Accordingly, the relevant studies have examined how people’s environmental value orientations relate their attitude toward the natural resources in the context of causal analysis [
4,
5,
6,
7,
8].
Li
et al. [
9] used the correlation approach to assess the public’s multidimensional forest value orientations and their demands for forest recreation services in the National Forest Recreation Areas (NFRAs) of Taiwan. The NFRAs are remote from urban centers to be open for public outdoor recreation. However, in practice, a natural destination caters to different types of tourists; therefore, forest managers can perform their duties more effectively if they know the possible profiles of different tourist segments and their respective environmental value orientations and service demands. In consideration of this concern, this paper extends the study of Li
et al. [
9] by using forest value orientations as the segmentation bases through conducting the cluster and crosstab analyses for investigating whether certain tourist segments tend to possess specific demographic features and service demands for NFRAs. Thus, this communication demonstrates the use of multidimensional environmental value orientations as the segmentation bases for generating more comprehensive nature-based tourist profiles.
2. Materials and Methods
In the original study, Li
et al. [
9] used self-administered questionnaires to conduct on-site and off-site surveys to include on-site tourists and potential NFRA tourists in the samples of their study.
Nine hundred and fifty-five samples were collected from fifteen NERAs and 473 samples were obtained from public places in five main Taiwanese cities by using systematic sampling method. 491 data were collected from the online survey with the link posted on the official websites of the Forestry Bureau, the official administrative unit of the NFRAs. In total, 1919 respondents completed the survey. The questionnaire comprised three sections. The first section investigated respondent sociodemographic profiles. The second section presented 17 basic belief statements on forests; the respondents were asked to express the extent to which they disagreed or agreed with each. Responses were measured on a 5-point scale ranging from 1 (Strongly disagree) to 5 (Strongly agree), with 3 (Neutral) in the middle. A factor analysis was then performed to identify five forest value orientation dimensions from the statements. The dimensions were ecology, spirit, culture, utilitarian, and negativity.
The third section of the questionnaire listed 26 services or amenities that are potentially offered by a forest recreation area. The services were categorized into three types: basic, expanded, and special. The typology was inspired by the Federal Lands Recreation Enhancement Act of the United States. The details of each type of service were designed based on the comments from the senior staff of Forestry Bureau. Basic services included services or amenities that official regulations require NFRAs to offer (e.g., information services). Expanded services included services or amenities for which tourists must pay additional fees (e.g., accommodation and food services). Special services included services or amenities that could affect the natural environment or tourist visit intention (e.g., barbecue facilities and implementing a tourist carrying capacity limit).
In the original study, the respondents were asked to rate the importance of each service on a 5-point scale ranging from 1 (Very unimportant) to 5 (Very important), with 3 (Neutral) in the middle. However, the large overall sample of 1919 was expected to generate tourist segments that each contained a high number of tourists; thus, when the data are ordinal, most comparisons of the mean scores between each segment for service demands would typically yield significant differences. To avoid this problem, in the present study, the original data of service demands were transformed into categorical data. Specifically, 1 (Very Unimportant), 2 (Unimportant), and 3 (Neutral) were converted to “Unimportant”, and 4 (Important) and 5 (Very Important) were converted to “Important”.
All data analyses were performed using SPSS 22.0 software (IBM Corp., New York, USA) for Windows. The five forest value orientations were used as the segmentation bases. Because a nonhierarchical algorithm is suitable for large sample sizes [
10], a K-means analysis was chosen to group responses for the five orientations into clusters. There is no universal way to choose a cluster number for segmentation [
11]. Therefore, before the K-means analysis, the present study used a hierarchical analysis to help determine the cluster numbers [
10]. The present study employed Ward’s method to perform hierarchical analysis to segment the standardized data.
Table 1 presents the results of the reformed agglomeration schedule with changes in the coefficients as the number of clusters increased. Because of the significant changes in the coefficients, a two-cluster solution was considered optimal. The K-means analysis was conducted to segment the value orientations into two clusters.
An independent sample t test was used to examine the significant differences among each dimension of the five forest value orientations between the two segments. Furthermore, crosstab analyses were employed to examine the differences between the segments’ sociodemographic characteristics and opinions on the 26 services.
3. Results
The two segments comprised 1052 (56.3%) and 818 (43.7%) responses, respectively, of the 1870 useable samples selected from the original 1919 respondents through the cluster analysis. The segments were named according to their mean forest value orientation scores, as presented in
Table 2. Cluster 1 was termed “Acceptance” because the group highly valued the forest environment and did not regard this environment negatively. Cluster 2 was called “Conditionality” because the group seemed to recognize the value of the forest but still held negative attitudes toward the forest environment. According to the results of an independent sample
t test, the mean scores for the Acceptance group on ecology, spirit, and culture value orientations were significantly higher than those of the Conditionality group. Nonetheless, no significant difference was found between the mean scores of the two segments’ utilitarian value orientations.
A crosstab analysis was performed to examine the statistical significance between the two segments’ sociodemographic characteristics (
Table 3). The significance was found in age, education level, occupation, and average monthly disposable income. The Acceptance group tended to have higher socioeconomic status than the Conditionality group did. At the time of this study, in Taiwan, the age of majority was 18, the retirement age was 65, and the official stipulated minimum wage for a full-time employee per month was approximately US $570.
An additional crosstab analysis was conducted to examine the perceptions of the segments concerning the importance of the 26 services or amenities. These results are shown in
Table 4,
Table 5 and
Table 6. The majority of respondents in both segments recognized the importance of all the basic services (
Table 4). Moreover, the Acceptance group tended to have a greater demand for the seven nonphysical basic services (S1, S3, S4, S5, S6, S7, and S8). Regarding the four physical basic services (S9, S10, S11, and S12), the Conditionality group tended to have a greater demand for shuttle bus services inside the NFRAs (S10).
The majority of respondents in both segments recognized the importance of all the expanded services, except for vending machines (S15), the selling of souvenirs and refreshments at shops (S16), and camping site services (S18). In addition, the Acceptance group tended to have more tendency to be against S15 and S16 (
Table 5). Overall, in contrast to the Acceptance group, the Conditionality group tended to demand packaged mass consumption goods in the natural destinations.
Regarding special services (
Table 6), the majority of respondents in both segments did not recognize the importance of grilling amenities (S19), water leisure activities (S20), mountain biking areas (S21), fishing (S22), and prepaid entry cards (S26). Furthermore, the majority of respondents in both segments acknowledged the importance of weekday/nonpeak entry discounts (S23), establishing regular closure periods and a tourism carrying capacity (S24), and hosting relevant seasonal or local events (S25). The statistical results suggested that the Acceptance group tended to be more opposed to S19, S20, S21, and S22 and more supportive of establishing regular closure periods and a tourism carrying capacity (S24). Overall, in comparison to the Conditionality group, the Acceptance group was more aware of the potential impact of special services on the NFRAs.
4. Discussion
Through the K-means analysis, two segments were identified: Acceptance and Conditionality. Both segments recognized the ecological, spiritual, cultural, and utilitarian value of the forest. The Conditionality segment negatively perceived the forest environment. A notable finding was the lack of a significant difference between the two segments’ mean scores for the utilitarian value orientation. Previous studies have suggested that an individual’s environmental value orientation is a dual continuum on which the opposite of ecocentrism is anthropocentricism [
7,
12]. This suggests that people who recognize the ecological value of the forest do not recognize its utilitarian value. However, using the multidimensional forest value orientations as the segmentation base, the present study indicated that even people who highly appreciate the ecological value of the forest and embrace the forest environment still acknowledge its commercial potential. Accordingly, authorities may consider delivering messages about sustainable forestry products to the general public. Moreover, this finding highlights that multidimensional environmental value orientation may be a more comprehensive approach to exploring the diverse thoughts of natural recreation seekers. In our study, echoing the results of previous studies [
13,
14], the Acceptance group members, who were potential ecotourists following the principles of ecotourism, tended to have higher education levels and incomes than the Conditionality group members did.
The majority of respondents in both segments approved of all the basic services. Hence, the 12 basic services arguably are seen as the fundamental service design guidelines for NFRAs. Moreover, a majority of respondents in both segments approved of all the expanded services, except for vending machines (S15), the selling of souvenirs and refreshments at shops (S16), and camping site services (S18), of which the Acceptance group showed more disapproval. A majority of the Acceptance group were also more likely to support establishing regular closure periods and a tourism carrying capacity, which were categorized under special services (S24). However, the approval of the Acceptance group of accommodation and food services (S13 and S14), which were categorized under expanded services, reflects the findings in the literature that suggest that tourists may prefer recreating a natural environment while still having access to proper accommodations and food services [
15,
16]. Thus, to avoid misleading tourists or the general public, authorities must convey a clear message about the expanded services that a natural destination can offer.
The majority of respondents in both segments approved ecotourism and other nature-based leisure activities (S2). However, the Conditionality group was not as likely as the Acceptance group to appreciate other nonphysical basic services (S1, S3, S4, S5, S7, S7, and S8). Moreover, the Conditionality group was more likely to have a higher demand for consumer goods sold by vending machines (S15) and shops (S16) located at the NFRAs. Furthermore, although their view of most special services was similar to that of the Acceptance group respondents, the awareness of the Conditionality group respondents of the potential impact of special services on the NFRAs was not as strong as that of the Acceptance group. This finding was apparent according to the groups’ opinions on the four special services: grilling amenities (S19), water leisure activities (S20), fishing (S21), mountain biking (S22), and establishing regular closure periods and a tourism carrying capacity (S24). Overall, although the two groups seemed to have similar opinions of the recreation services, the Conditionality group tended to perceive the natural destination as an ordinary purpose built entertainment venue.
5. Conclusions
The information that can assist in public forest recreation management decision making is summarized as follows:
Compared with using the ecocentrism–anthropocentricism continuum, using multidimensional environmental value orientations as the segmentation bases can explore more psychological profiles of nature-based tourists.
Potential ecotourists tend to have higher socioeconomic status. They also enjoy living in a natural environment and are aware of the recreation services that can affect the environment. Paradoxically, they still approve of commercially using natural resources and appreciate being able to use accommodation and food services at a natural destination in this case study.
Those who are not ideal ecotourists may lack a strong awareness of how certain recreation services can environmentally influence a natural destination. They wish to perceive the destination as a typical artificial recreation venue.
Acknowledgments
The research project was funded by the Forestry Bureau, Council of Agriculture, Executive Yuan, Taiwan (Grant No. tfbs-980213).
Author Contributions
Cheng-Ping Wang and Ching Li designed the research project and supervised the project progress. Sung-Ta Liu conducted the fieldwork and data analysis as well as wrote the paper in close cooperation with Cheng-Ping Wang and Ching Li.
Conflict of Interest
The authors declare no conflict of interest.
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Table 1.
Reformed agglomeration schedule.
Table 1.
Reformed agglomeration schedule.
Number of Clusters | Agglomeration Last Step | Coefficients This Step | Change |
---|
2 | 3741.753 | 2748.602 | 993.151 |
3 | 2748.602 | 2268.339 | 480.263 |
4 | 2268.339 | 2051.350 | 216.989 |
5 | 2051.350 | 1840.814 | 210.536 |
Table 2.
Cluster analysis result and overall mean scores.
Table 2.
Cluster analysis result and overall mean scores.
Forest Value Orientations | t | p | Acceptance (n = 1052) | Conditionality (n = 818) |
---|
Ecology | 16.896 | 0.000 | 4.92 | 4.57 |
Spirit | 19.599 | 0.000 | 4.82 | 4.32 |
Culture | 15.729 | 0.000 | 4.64 | 4.25 |
Utilitarian | 1.500 | 0.132 | 3.57 | 3.53 |
Negativity | −48.041 | 0.000 | 1.74 | 3.14 |
Table 3.
Sociodemographic characteristics of each segment.
Table 3.
Sociodemographic characteristics of each segment.
Categories | X2 | p | Variables | Acceptance (n) | Conditionality (n) |
---|
Gender | 2.131 | 0.144 | Male | 509 | 368 |
| | | Female | 543 | 450 |
Age | 15.500 | 0.000 | ≤17 | 17 | 38 |
| | | 18–64 | 1024 | 769 |
| | | ≥65 | 9 | 10 |
Education | 33.994 | 0.000 | (Less than) Junior high | 37 | 56 |
| | | Senior high school | 122 | 149 |
| | | Undergrate | 644 | 472 |
| | | Postgraduate | 248 | 141 |
Occupation | 9.676 | 0.022 | Primary or 2nd industries | 336 | 255 |
| | | Teritary industries | 432 | 307 |
| | | Students | 142 | 153 |
| | | Others | 141 | 103 |
Income | 37.508 | 0.000 | None | 152 | 158 |
| | | Less than US $570 | 69 | 75 |
| | | US $571–$1140 | 238 | 200 |
| | | US $1141–$1670 | 268 | 215 |
| | | US $1671–$2240 | 143 | 92 |
| | | US $2241–$2810 | 75 | 39 |
| | | US $2811 or more | 99 | 32 |
Table 4.
Perceptions of the importance of basic services by segment.
Table 4.
Perceptions of the importance of basic services by segment.
Basic Services | X2 | p | Assessment | Acceptance (n) | Conditionality (n) |
---|
S1: A good forest environment 1 | 20.659 | 0.000 2 | Unimportant | 8 | 31 |
| | Important | 1042 | 786 |
S2: Ecotourism and other nature-based leisure activities 1 | 3.514 | 0.061 | Unimportant | 155 | 147 |
| | Important | 893 | 669 |
S3: Environmental education 1 | 28.100 | 0.000 2 | Unimportant | 22 | 58 |
| | Important | 1029 | 759 |
S4: Preserving natural and cultural landscapes 1 | 44.708 | 0.000 2 | Unimportant | 3 | 41 |
| | Important | 1048 | 777 |
S5: Regulating tourists’ activities to preserve the forests’ ecosystem and special species 1 | 31.390 | 0.000 2 | Unimportant | 8 | 40 |
| | Important | 1043 | 777 |
S6: Introducing Taiwanese forest history and culture 1 | 22.617 | 0.000 2 | Unimportant | 81 | 119 |
| | Important | 970 | 698 |
S7: Introducing contemporary and future public forest policies 1 | 16.122 | 0.000 2 | Unimportant | 185 | 206 |
| | Important | 865 | 610 |
S8: Multi-language guide services 1 | 6.842 | 0.009 2 | Unimportant | 252 | 240 |
| | Important | 798 | 577 |
S9: Mountaineering facilities 1 | 1.021 | 0.312 | Unimportant | 154 | 106 |
| | Important | 898 | 709 |
S10: Shuttle bus services inside the NFRA 1 | 9.951 | 0.002 3 | Unimportant | 353 | 219 |
| | Important | 698 | 598 |
S11: Facilities for the disabled 1 | 1.587 | 0.208 | Unimportant | 225 | 195 |
| | Important | 827 | 623 |
S12: Multifunction tourist center 1 | 0.749 | 0.387 | Unimportant | 284 | 206 |
| | Important | 767 | 610 |
Table 5.
Perceptions of the importance of expanded services by segment.
Table 5.
Perceptions of the importance of expanded services by segment.
Expanded Services | X2 | p | Assessment | Acceptance (n) | Conditionality (n) |
---|
S13: Accommodation services 1 | 0.235 | 0.628 | Unimportant | 460 | 384 |
| | Important | 591 | 468 |
S14: Food services 1 | 2.228 | 0.136 | Unimportant | 432 | 308 |
| | Important | 619 | 509 |
S15: Vending machines | 16.817 | 0.000 2 | Unimportant | 614 | 399 |
| | Important | 438 | 418 |
S16: Shops selling refreshments and souvenirs | 11.214 | 0.001 3 | Unimportant | 649 | 442 |
| | Important | 400 | 374 |
S17: Group appointment services 1 | 0.016 | 0.900 | Unimportant | 413 | 323 |
| | Important | 638 | 493 |
S18: Camping site services | 0.228 | 0.633 | Unimportant | 543 | 413 |
| | Important | 508 | 404 |
Table 6.
Perceptions of the importance of special services by segment.
Table 6.
Perceptions of the importance of special services by segment.
Special Services | X2 | p | Assessment | Acceptance (n) | Conditionality (n) |
---|
S19: Grilling amenities 1 | 5.190 | 0.023 2 | Unimportant | 759 | 549 |
| | Important | 293 | 267 |
S20: Water leisure activities 1 | 10.549 | 0.001 2 | Unimportant | 809 | 576 |
| | Important | 241 | 242 |
S21: Mountain biking areas 1 | 9.016 | 0.003 2 | Unimportant | 714 | 501 |
| | Important | 336 | 316 |
S22: Fishing 1 | 17.559 | 0.000 2 | Unimportant | 895 | 635 |
| | Important | 156 | 183 |
S23: Weekday/non-peak entry discounts 3 | 0.491 | 0.483 | Unimportant | 361 | 268 |
| | Important | 690 | 549 |
S24: Establishing regular closing periods and tourism carrying capacity 3 | 12.609 | 0.000 4 | Unimportant | 115 | 136 |
| | Important | 933 | 682 |
S25: Hosting relevant seasonal or local events 3 | 0.001 | 0.977 | Unimportant | 201 | 156 |
| | Important | 850 | 662 |
S26: Prepaid entry cards 1 | 0.270 | 0.603 | Unimportant | 662 | 506 |
| | Important | 387 | 311 |
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