Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi
Abstract
:1. Introduction
2. Literature Review
2.1. Research on the Effect of Rural Tourism on Poverty Alleviation and Income Generation
2.2. Rural Tourism Participation to Increase Income Effect
2.3. Non-Poor Population and Poor Population Benefit from Tourism Participation
3. Data Sources and Research Methods
3.1. Data Sources
3.2. Variable Setting
3.3. Research Methodology
4. Results
4.1. Descriptive Statistical Results
4.2. The Role of Rural Tourism in Increasing the Income of Farming Households
4.3. Factors Influencing Rural Tourism on Farm Household Income Growth
4.3.1. Poor Quality of Human Capital Limits the Ability of Farmers to Participate in Tourism to Increase Their Income
4.3.2. Farm Household Size and Labor Force Size Together Have an Impact on the Average Annual Household Income of Farm Households
4.3.3. Primary Stage of Tourism Scenic Spots and Humanistic Type of Scenic Spots Have a Weaker Ability to Drive Income for Farm Households
4.4. Analysis of Barriers to Farmers’ Participation in Tourism
4.4.1. Spatial Distance Limits Effective Participation of Farm Households in Tourism
4.4.2. Non-Farm Work Constitutes a Proxy for Farm Household Participation in Tourism
4.4.3. Providing Stalls and Running Agritourism Hotels Were the Main Ways in Which Farmers Participated in Tourism
4.4.4. Lack of Finance, Technology, and Rights Are the Main Barriers to Farmers’ Participation in Tourism
5. Discussions
5.1. Tourism Is Conditional in Alleviating Poverty
5.2. Non-Agricultural Work Constitutes the Substitution of Farmers’ Choice of Tourism Livelihood
5.3. Human Capital Constitutes a Major Barrier to Benefiting the Poor
5.4. Geographical Location and Transport Conditions Significantly Influence the Effects of Tourism on Poverty Reduction
5.5. Enhance the Effective Participation of Poor Residents
6. Policy Suggestions
6.1. Establish a Screening Mechanism for Tourism Poverty Alleviation Participation and Implement Diversified Poverty Governance
6.2. Encourage the Integration and Synergistic Development of a Variety of Industries to Achieve “+ Tourism” and “Tourism +” Two-Way Interaction
6.3. Strengthen Tourism Skills Training and Implement a Strategy to Cultivate and Enhance rural Tourism Talent
6.4. Adhere to the Development Path of Participatory Poverty Alleviation and Stimulate the Endogenous Motivation of Farmers
6.5. Play the Coordinating and Leading Role of the Government, and Cultivate and Strengthen Tourism Cooperative Organizations
7. Conclusions, Deficiencies, and Prospects
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Variable Type | Variable Name/Symbol | Variable Description and Assignment |
---|---|---|
Village Features | Tourism Development Stage | “≤5 years” = 1, “5–10 years” = 2, “10–15 years” = 3, “≥15 years” = 4 |
Type of tourism resources | “Nature-based scenic spot” = 1, “humanistic scenic spot” = 2, “comprehensive scenic spot” = 3 | |
Distance from tourist attractions | “≤5 km” = 1, “5–10 km” = 2, “10–15 km” = 3, “15–20 km” = 4, “≥20 km” = 5 | |
Family Features | Households out of poverty | 1 = yes; 0 = no |
Participation in tourism | 1 = yes; 0 = no | |
Age of head of household | “Aged ≤ 30” = 1, “Aged 31–45” = 2, “Aged 46–65” = 3, “Aged ≥ 65” = 4 | |
Education level of head of household | illiterate = 1, primary = 2, junior high = 3, senior high = 4, undergraduate and above = 5 | |
Size of the family | Discrete variable, Number of family members | |
Household labor | Discrete variable, Number of family labor | |
Annual family income | Logarithm of net household income per capita | |
Main sources of household income | Tourism business = 1, non-farm work = 2, farming = 3, other part-time work = 4 | |
policy system | Participation in Policy Disclosure | Categorized variables, 1~5: Very unimportant–very important |
Open participation procedures | Categorized variables, 1~5: Very unimportant–very important | |
participation ways | Placement in employment | Virtual variables, 1 = yes; 0 = no |
Provision of stalls | Virtual variables, 1 = yes; 0 = no | |
Dividends from shares | Virtual variables, 1 = yes; 0 = no | |
Land transfer | Virtual variables, 1 = yes; 0 = no | |
Running a farmhouse hotel | Virtual variables, 1 = yes; 0 = no | |
Obstacles to participation | Lack of finance | Virtual variables, 1 = yes; 0 = no |
Lack of skills | Virtual variables, 1 = yes; 0 = no | |
Lack of experience | Virtual variables, 1 = yes; 0 = no | |
Lack of rights | Virtual variables, 1 = yes; 0 = no | |
Lack of manpower | Virtual variables, 1 = yes; 0 = no |
Variable | N (%) | Mean ± Standard | Deviation Statistic | p-Value |
---|---|---|---|---|
Households out of poverty | −8.978 ① | 0.000 | ||
yes | 101 (41.9%) | 5660.21 ± 212.43 | ||
Non-poor households | 140 (58.1%) | 10,512.15 ± 475.52 | ||
Whether to participate in a tour | −0.541 ① | 0.588 | ||
Yes | 117 (48.1%) | 8648.84 ± 462.34 | ||
No | 124 (51.9%) | 8087.56 ± 467.60 | ||
Gender | −1.355 ① | 0.175 | ||
Male | 138 (57.3%) | 8770.15 ± 393.44 | ||
Female | 103 (42.7%) | 7599.75 ± 565.58 | ||
Age of head of household | 1.683 ② | 0.641 | ||
≤30 years | 4 (1.7%) | 10,692.50 ± 3239.64 | ||
31–45 years | 80 (33.2%) | 8643.59 ± 602.37 | ||
46–59 years | 97 (40.2%) | 8327.19 ± 462.28 | ||
≥60 years | 60 (24.9%) | 8356.48 ± 713.71 | ||
Level of education of the head of household | 68.963 ② | 0.000 | ||
illiterate | 49 (20.3%) | 5645 ± 334 | ||
primary | 89 (36.9%) | 6883 ± 244 | ||
junior high | 53 (22.0%) | 9095 ± 645 | ||
senior high | 40 (16.6%) | 13,864 ± 997 | ||
undergraduate and above | 10 (4.1%) | 11,764 ± 2198 | ||
Number of family members | 16.922 ② | 0.002 | ||
≥6 persons | 113 (46.9%) | 8636.45 ± 497.73 | ||
5 persons | 75 (31.1%) | 8063.27 ± 521.81 | ||
4 persons | 37 (15.4%) | 9606.49 ± 1049.86 | ||
3 persons | 10 (4.1%) | 5194 ± 605 | ||
≤2 persons | 6 (2.5%) | 4388 ± 641 | ||
Number of household laborers’ | 84.326 ② | 0.000 | ||
≥4 persons | 58 (24%) | 12,362.07 ± 801.31 | ||
3 persons | 93 (38.6%) | 8223.77 ± 404.20 | ||
2 persons | 68 (28.2%) | 6594.31 ± 458.96 | ||
1 persons | 20 (8.3%) | 4580.90 ± 328.00 | ||
0 persons | 2 (0.8%) | 2836 ± 24 | ||
Main sources of household income | −2.411 | 0.016 | ||
Tourism business | 34 (14.1%) | 8399.48 ± 961.36 | ||
non-farm work | 161 (66.8%) | 8616.69 ± 537.54 | ||
farming | 59 (24.5%) | 7983.53 ± 475.95 | ||
other part-time work | 64 (26.6%) | 9145.25 ± 972.87 | ||
Distance from tourist attractions | 5.628 ② | 0.131 | ||
≤5 km | 39 (16.2%) | 7220.08 ± 691.91 | ||
5–10 km | 58 (24.1%) | 8884.72 ± 714.75 | ||
10–20 km | 59 (24.5%) | 8464.08 ± 649.50 | ||
≥20 km | 85 (35.3%) | 8789.47 ± 569.49 | ||
Length of tourism development | 8.700 ② | 0.034 | ||
≤5 years | 41 (17%) | 7389.12 ± 655.93 | ||
5–10 years | 135 (56%) | 8989.73 ± 439.53 | ||
10–20 years | 48 (19.9%) | 8977.48 ± 883.91 | ||
≥20 years | 17 (7.1%) | 5640.91 ± 390.42 | ||
Type of tourism resources | 18.620 ② | 0.000 | ||
Nature-based scenic spot | 176 (73%) | 9065.04 ± 410.63 | ||
Humanistic scenic spot | 28 (11.6%) | 5445.30 ± 376.77 | ||
Comprehensive scenic spot | 37 (15.4%) | 7985.59 ± 676.42 |
Indicators | Mann-Whitney U | Wilcoxon W | Z | Sig. (Double-Tailed) |
---|---|---|---|---|
Distance from tourist attractions | 5969.500 | 12,990.500 | −2.477 | 0.013 |
Length of tourism development | 6361.000 | 13,382.000 | −1.839 | 0.066 |
Type of tourism resources | 7067.000 | 14,088.000 | −0.451 | 0.652 |
Whether the household is out of poverty | 6660.000 | 10,401.000 | −0.011 | 0.991 |
Gender | 6394.500 | 18,484.500 | −0.609 | 0.543 |
Age of head of household | 6573.500 | 10,314.500 | −0.183 | 0.855 |
Level of education of the head of household | 5799.000 | 9540.000 | −1.771 | 0.077 |
Number of family members | 6163.000 | 9904.000 | −1.012 | 0.312 |
Number of household laborers’ | 5790.000 | 17,880.000 | −1.772 | 0.076 |
Main sources of household income | ||||
Tourism business | 6697.000 | 13,718.000 | −1.717 | 0.086 |
non-farm work | 6193.000 | 13,214.000 | −2.411 | 0.016 |
farming | 6761.500 | 14,387.500 | −1.230 | 0.219 |
other part-time work | 6513.000 | 14,139.000 | −1.789 | 0.074 |
Engagement Policy | ||||
Level of participation in policy openness | 6651.000 | 13,672.000 | −1.185 | 0.236 |
Clarity of participation procedures | 6794.500 | 13,815.500 | −0.917 | 0.359 |
Clarity of participation channels | 5166.000 | 12,187.000 | −4.463 | 0.000 |
How to participate | ||||
Placement in employment | 6620.500 | 18,710.500 | −0.132 | 0.895 |
Provision of stalls | 5892.000 | 9633.000 | −2.190 | 0.029 |
Dividends from shares | 6656.000 | 18,746.000 | −0.048 | 0.962 |
Land transfer | 6563.500 | 10,304.500 | −0.279 | 0.780 |
Farmhouse hotel | 5333.000 | 9074.000 | −3.450 | 0.001 |
Barriers to participation | ||||
Lack of funding | 5526.500 | 10,677.500 | −3.049 | 0.002 |
Lack of skills | 6179.000 | 16,049.000 | −1.975 | 0.048 |
Lack of experience | 6245.500 | 16,115.500 | −1.794 | 0.073 |
Lack of power | 5748.500 | 15,618.500 | −2.859 | 0.004 |
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He, H.; Wang, S.; Tuo, S.; Du, J. Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi. Sustainability 2022, 14, 1289. https://doi.org/10.3390/su14031289
He H, Wang S, Tuo S, Du J. Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi. Sustainability. 2022; 14(3):1289. https://doi.org/10.3390/su14031289
Chicago/Turabian StyleHe, Hong, Shuxin Wang, Shouheng Tuo, and Jiankuo Du. 2022. "Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi" Sustainability 14, no. 3: 1289. https://doi.org/10.3390/su14031289
APA StyleHe, H., Wang, S., Tuo, S., & Du, J. (2022). Analysis of the Effect of Rural Tourism in Promoting Farmers’ Income and Its Influencing Factors–Based on Survey Data from Hanzhong in Southern Shaanxi. Sustainability, 14(3), 1289. https://doi.org/10.3390/su14031289