| Issue |
E3S Web Conf.
Volume 361, 2022
3rd International Conference on Agribusiness and Rural Development (IConARD 2022)
|
|
|---|---|---|
| Article Number | 03020 | |
| Number of page(s) | 11 | |
| Section | Rural Environment Development | |
| DOI | https://doi.org/10.1051/e3sconf/202236103020 | |
| Published online | 29 November 2022 | |
A Tourism Village Development Model Based on Cultural Ecology on the Slopes of Mount Lawu, Indonesia
Faculty of Agriculture, Universitas Sebelas Maret Jl. Ir. Sutami 36 A, Surakarta, Indonesia
* Corresponding author: agungwibowo@staff.uns.ac.id
Sustainable development has emerged in response to the environmental damage caused by exploitative development, and this has led to the need for efforts to align development with environmental preservation. There are concerns that the rapid rise in tourism village development will destroy the ecological balance. Several models for tourism village development have emerged, in line with the capacity of human resources and local potential. This research aims to investigate a development model for mountainside tourism villages based on an ecological perspective. A qualitative research method is used with a phenomenological approach. The research location is the tourism villages on the slopes of Mount Lawu, Magetan Regency in East Java, Indonesia. The research results show that a tourism village development model based on cultural ecology, marked by the development of social networks and local cultural potential, has been proven to empower the local communities.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.