Submitted:
22 April 2023
Posted:
23 April 2023
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Abstract
Keywords:
1. Introduction
2. Materials and Methods
3. Results and Discussions
Perceptions of communities on the impacts of ecotourism
Demographic differences in perceptions of Economic impacts of ecotourism
To participate in tourism-related activities, individuals must possess physical strength and stamina since these activities often involve lengthy walks lasting up to 12 days. If community members are unable to provide tour services, they may choose to collaborate with each other, taking turns working and splitting the meager earnings. Generally, younger individuals, primarily males, tend to participate in these activities. Those who own mules or horses can rent them out for 120 Birr per day per horse, while others can serve as mule porters for the same amount.Top of Form
Demographic differences in perceptions of the Socio-cultural impacts of ecotourism
Perception of park communities on the environmental impact of ecotourism
Discussions
Conclusions
Recommendation
- Both the local and federal governments, concerned sectors (EWCA), tourism offices at all levels, and other concerned bodies must improve the variety of recreational activities if they want to encourage tourists to remain longer and bring about the development of the tourism industry. As a result, the study site must establish, build, and improve road construction, camping sites, lodges, even arrangements, gardens, and other infrastructure. Communities are urged to make investments in the industry because tourists don't only come to one location.
- Public education on the importance of ecotourism: the local communities especially those who reside nearby the tourist attraction sites shall be well informed about the importance of tourism development and make them to pledge to cooperate for the sustainable tourism development in the area. Education of locals about the potential benefits of tourism is essential to securing support for tourism development and establishing sustained community development.
Data availability
Declaration of conflict of interest
Acknowledgments
References
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| No | Economic Impacts | M | SD |
| 1 | Ecotourism brings economic benefits for the residents | 3.95 | 0.75 |
| 2 | Ecotourism contributes to improve incomes and living standards | 4.00 | 0.72 |
| 3 | Ecotourism creates a local business environment | 4.05 | 0.72 |
| 4 | Ecotourism creates employment opportunities for local residents | 4.28 | 0.69 |
| 5 | Ecotourism encourages investments and infrastructure improvement | 4.21 | 0.75 |
| 6 | Ecotourism promotes local products by creating new market | 3.86 | 0.89 |
| 7 | Ecotourism generates substantial tax revenues for government | 3.65 | 1.0 |
| Average score Economic impacts | 4.0 | 0.78 | |
| Socio-cultural impacts | Mean | SD | |
| 1 | Ecotourism provides cultural exchange and education opportunities to the host community. | 4.33 | 0.51 |
| 2 | Ecotourism facilitates the development of community facilities and services | 4.14 | 0.54 |
| 3 | Ecotourism preserves cultural values and customs of the community | 3.91 | 0.59 |
| 4 | Ecotourism creates new learning opportunities for residents | 4.05 | 0.57 |
| 5 | Ecotourism increases pride in cultural identity | 4.04 | 0.55 |
| Average score Socio-Cultural impacts | 4.10 | 0.55 |
| Mean | SD | F Ratio | F Prob. | |
| Gender | 4.6 | 0.00 | ||
| Male | 27.98 | 3.93 | ||
| Female | 23.52 | 1.67 | ||
| Woreda(district) of residence | 7.71 | 0.001 | ||
| Debark | 29.05 | 3.42 | ||
| Janamora | 27.50 | 2.86 | ||
| Beyeda | 27.05 | 5.22 | ||
| Highest education level | 5.33 | 0.001 | ||
| Illiterate | 29.00 | 2.74 | ||
| Read and Write | 29.33 | 3.77 | ||
| Primary | 30.12 | .29 | ||
| Secondary | 31.50 | 6.88 | ||
| Diploma and above | 31.40 | 5.12 | ||
| Age | 1.34 | .039 | ||
| 18-29 years | 29.11 | 4.28 | ||
| 30-45 years | 28.12 | 4.25 | ||
| 46-60 years | 27.73 | 4.06 | ||
| Above 60 years | 27.12 | 2.47 |
| Variables | Mean | SD | F Ratio | F Prob. | |
|---|---|---|---|---|---|
| Sex | M | 20.61 | 1.85 | 5.23 5.44 |
0.01 0.00 |
| F | 18.43 | 1.99 | |||
| Age | 18-29 | 20.34 | 2.01 | ||
| 30-45 | 20.43 | 2.13 | |||
| 46-60 | 20.8 | 1.65 | |||
| Above to 60 | 20.5 | 1.20 | |||
| Education | Illiterate | 20.09 | 1.89 | 4.88 | 0.01 |
| Basic education | 20.63 | 2.0 | |||
| Primary education completed | 20.84 | 1.62 | |||
| Secondary education complete | 20.9 | 1.48 | |||
| Diploma and above | 21.85 | 2.34 |
| Independent Variables | B | P-level | Exp(B) |
|---|---|---|---|
| Gender | 1.85* | 0.023 | 2.021 |
| Age | -0.43 | 0.412 | 0.233 |
| Education | 0.238* | 0.032 | 3.121 |
| Place of residence | 0.42* | 0.041 | 3.661 |
| Marital status | 0.079 | 0.321 | 0.123 |
| Landholding size | 0.432 | 0.161 | 1.121 |
| Family size | 0.313 | 0.845 | 0.321 |
| Number of observation | 397 | ||
| -2lig likelihood | 112.232 | ||
| NagelkerkerR2 | 0.212 | ||
| Level of significance | 5% |
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