Journal of Resources and Ecology >
Wine Tourism in China: Resource Development and Tourist Perception
WANG Lei, E-mail: duke@nxu.edu.cn |
Received date: 2020-12-23
Accepted date: 2021-10-25
Online published: 2023-02-21
Supported by
The National Social Science Foundation of China(20BJY202)
The Key Project of R&D in Ningxia (Special for Talent)(2018BEB04015)
The National Natural Science Foundation of China(42001155)
With the rise of wine consumption in China, wine tourism is becoming increasingly popular. Research shows that wine resource development is profoundly impacted by tourist perception and satisfaction. To precisely understand the process and mechanism of tourists’ attitudes and preferences toward wine tourism resources in China, this paper employed a questionnaire survey to explore tourists’ perceptions of local wine tourism and resources from five dimensions by analyzing feedback from wine tourists in the east foothill of the Helan Mountain Wine Region of Ningxia. The main findings are threefold. (1) As emerging experiential tourism, wine tourism has distinct demographic characteristics in terms of income, age and the methods of travel. (2) Wine tourism resources are the most important factors influencing tourist satisfaction, while functional comfort is also highlighted for its charm and value. In addition, the quality of services has a significant impact on tourists’ support for wine tourism. (3) Remarkably, the findings show that the facilities condition, ecological environment and resource conservation exert little influence on tourist perception of wine tourism. However, these factors also deserve to be stressed for their important roles in establishing a positive atmosphere of wine tourism development. The results of this study have enriched our knowledge of wine tourism resource development and tourist perception.
WANG Lei , LI Tao . Wine Tourism in China: Resource Development and Tourist Perception[J]. Journal of Resources and Ecology, 2023 , 14(2) : 309 -320 . DOI: 10.5814/j.issn.1674-764x.2023.02.009
Table1 Demographic characteristics of wine tourists |
Variable | Scale (%) | |
---|---|---|
Gender | Male | 173 (44.2) |
Female | 218 (55.8) | |
Age | 18-35 | 228 (58.3) |
36-45 | 122 (31.2) | |
46-55 | 31 (7.9) | |
56-64 | 10 (2.6) | |
Educational background | Junior school | 5 (1.3) |
High school | 17 (4.3) | |
Junior college | 92 (23.5) | |
Bachelor’s degree | 154 (39.4) | |
Postgraduate degree | 123 (31.5) | |
Monthly disposable income (yuan) | Under 2000 | 74 (18.9) |
2000-4000 | 70 (17.9) | |
4001-6000 | 81 (20.7) | |
6001-8000 | 47 (12.0) | |
8001-10000 | 39 (10.0) | |
Above 10000 | 80 (20.5) | |
Travel mode | Self-guided | 122 (31.2) |
Self-driving | 152 (38.9) | |
Group tour | 60 (15.3) | |
Backpacker | 18 (4.6) | |
Others | 39 (10.0) |
Table 2 Behavioural characteristics of wine tourists |
Variable | Frequency (%) | Variable | Frequency (%) | Variable | Frequency (%) |
---|---|---|---|---|---|
Motivation | Information access | Consumption (yuan) | |||
Vacation | 80 (20.5) | Television | 108 (12.4) | Under 300 | 108 (27.6) |
Family or friends visiting | 17 (4.3) | Radio | 34 (3.9) | 300-600 | 109 (27.9) |
Business | 30 (7.7) | Internet | 166 (19.1) | 600-800 | 64 (16.4) |
Visiting winery | 181 (46.3) | 84 (9.7) | 800-1000 | 59 (15.1) | |
Party | 14 (3.6) | 199 (22.9) | 1000-1500 | 20 (5.1) | |
Shopping | 3 (0.8) | Newspapers or Magazines | 51 (5.9) | Above 1500 | 31 (7.9) |
Drop-by visit | 41 (10.5) | Travel agency | 36 (4.1) | Duration | |
Winery activities | 11 (2.8) | Recommendation | 161 (18.5) | One day | 277 (70.8) |
Others | 14 (3.6) | Others | 31 (3.6) | Two days | 58 (14.8) |
Three days or over | 56 (14.3) |
Table 3 Results of the KMO and Bartlett’s tests |
Index | Result | |
---|---|---|
KMO measure of sampling adequacy | 0.924 | |
Bartlett’s test of sphericity | Previous square value | 4628.847 |
Freedom degree | 0.325 | |
Significance | <0.001 |
Table 4 Results of the exploratory factor analysis |
Factors | Facilities and environment 21.37% | Service awareness 20.92% | Tourism satisfaction 16.05% | Resource value 13.26% | Resource conservation 6.93% | Mean | SD |
---|---|---|---|---|---|---|---|
X1 | 0.831 | 5.00 | 1.42 | ||||
X2 | 0.807 | 4.94 | 1.39 | ||||
X3 | 0.797 | 4.99 | 1.44 | ||||
X4 | 0.754 | 5.50 | 1.35 | ||||
X5 | 0.669 | 5.52 | 1.36 | ||||
X6 | 0.811 | 5.45 | 1.40 | ||||
X7 | 0.792 | 4.98 | 1.37 | ||||
X8 | 0.649 | 4.83 | 1.39 | ||||
X9 | 0.600 | 5.01 | 1.45 | ||||
X10 | 0.596 | 5.03 | 1.45 | ||||
X11 | 0.571 | 5.41 | 1.35 | ||||
X12 | 0.754 | 5.65 | 1.36 | ||||
X13 | 0.726 | 5.70 | 1.37 | ||||
X14 | 0.726 | 5.60 | 1.40 | ||||
X15 | 0.667 | 5.53 | 1.36 | ||||
X16 | 0.580 | 5.72 | 1.34 | ||||
X17 | 0.796 | 5.36 | 1.51 | ||||
X18 | 0.769 | 5.31 | 1.50 | ||||
X19 | 0.687 | 5.00 | 1.59 | ||||
X20 | 0.687 | 5.54 | 1.45 | ||||
X21 | 0.587 | 5.55 | 1.44 | ||||
X22 | 0.672 | 5.59 | 1.46 | ||||
X23 | 0.547 | 4.80 | 1.66 | ||||
X24 | 0.538 | 4.84 | 1.62 | ||||
X25 | 0.457 | 4.82 | 1.66 | ||||
X26 | 0.396 | 5.14 | 1.62 |
Note: The 26 individual factors are: Wine tourism is fully equipped with reception facilities (X1), Complete transportation is available inside and outside the wine region (X2), Wine tourism provides comprehensive information services (X3), Wine tourism has high quality service (X4), Winemakers have extensive expertise (X5), Wine tourism can provide personalised services (X6), Wine tourism items are moderately priced (X7), Wine tourism items are rich and diverse (X8), Good ecological environment is available in the wine region (X9), Distinct themes are available for wine tourism items (X10), There are beautiful natural landscapes in the wine tourism area (X11), Wine tourism makes people happy (X12), Wine tourism can promote good health (X13), Wine tourism can relieve stress (X14), Wine tourism can enhance interpersonal communication (X15), Wine tourism can increase knowledge (X16), Wine tourism resources have ornamental value (X17), Wine tourism resources have ecological value (X18), Wine tourism resources have recreational value (X19), Wine tourism resources have educational value (X20), Wine tourism resources have health value (X21), Participate in wine tourism resource conservation works (X22), Understand resource conservation measures in wine tourism (X23), Understand laws and regulations related to resource conservation (X24), Prevent the destruction of wine tourism resources (X25), and Conservation of wine tourism resources is very important (X26). |
Fig. 1 Framework of the research hypotheses |
Table 5 Results of the reliability and validity tests |
Items | Cronbach’s α | Average Variance Extracted (AVE) | Composite Reliability (CR) |
---|---|---|---|
Facilities and environment | 0.83 | 0.71 | 0.89 |
Service awareness | 0.79 | 0.64 | 0.83 |
Tourism satisfaction | 0.82 | 0.55 | 0.87 |
Resource value | 0.88 | 0.62 | 0.82 |
Resource conservation | 0.82 | 0.58 | 0.83 |
Tourist support | 0.87 | 0.61 | 0.82 |
Note: AVE=$\frac{\Sigma {{(Li)}^{2}}}{\Sigma L{{i}^{2}}+\Sigma \text{Var}(Ei)}$, CR =$\frac{{{(\Sigma Li)}^{2}}}{{{(\Sigma Li)}^{2}}+\Sigma \text{Var}(Ei)}$; Li means the standardized factor load of the observed variable item i to the latent variable, Var(Ei) means the error variance of item i associated with a single observation index. |
Table 6 Modified results of fit indices |
Index | χ2/df | GFI | IFI | CFI | NFI | RMSEA |
---|---|---|---|---|---|---|
Ideal value | <3 | >0.9 | >0.9 | >0.9 | >0.9 | <0.08 |
Initial model | 4.953 | 0.74 | 0.88 | 0.88 | 0.85 | 0.101 |
Modified model | 3.622 | 0.88 | 0.92 | 0.94 | 0.91 | 0.076 |
Table 7 Test results of the hypotheses |
Hypothesis | Relationship between variables | Path coefficient | T-value | P-value | Result |
---|---|---|---|---|---|
H1 | Facilities and environment → tourist support | -0.947 | 0.070 | 0.945 | non-support |
H2 | Service awareness → tourist support | 0.945 | 1.978** | 0.023 | support |
H3 | Tourism satisfaction → tourist support | 0.832 | 5.832*** | 0.000 | support |
H4 | Resource value → tourist support | 0.057*** | 6.280 | 0.000 | support |
H5 | Resource conservation → tourist support | 0.013 | 0.913 | 0.361 | non-support |
Note: * : P < 0.05; **: P <0.01; *** : P < 0.001 |
Fig. 2 Model parameter estimation |
[1] |
|
[2] |
|
[3] |
|
[4] |
|
[5] |
|
[6] |
|
[7] |
|
[8] |
Christou, Evangelos, Nella, et al. 2010. A review of wine-tourism research from 1995-2010: Analysis of 111 contributions. Journal of Hospitality & Tourism, 8(1): 221-235
|
[9] |
|
[10] |
|
[11] |
|
[12] |
|
[13] |
|
[14] |
|
[15] |
|
[16] |
|
[17] |
|
[18] |
|
[19] |
|
[20] |
|
[21] |
|
[22] |
|
[23] |
|
[24] |
|
[25] |
|
[26] |
|
[27] |
|
[28] |
|
[29] |
|
[30] |
|
[31] |
|
[32] |
|
[33] |
|
[34] |
|
[35] |
|
[36] |
|
[37] |
|
[38] |
|
[39] |
|
[40] |
|
[41] |
|
[42] |
|
/
〈 | 〉 |