An integrated approach for the development of a sustainable tourism village in Bali Province, Indonesia

  • 51 Views
  • 12 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The purpose of this study was to elucidate the effects of the government role, community empowerment, green marketing, and corporate social responsibility based on Tri Hita Karana on the sustainability of tourism villages in Bali, Indonesia. Tri Hita Karana is a Balinese wisdom that teaches about harmonious relationships with God, humans, and the environment. The analysis was conducted from January to September 2024. The population consisted of managers from 239 tourism villages in Bali. The sample selection employed a purposive sampling technique, with the criterion of having served as a manager of the tourism village for at least 1 year. Data were collected through structured questionnaires distributed to 190 managers in the Bali province of Indonesia. Smart PLS was employed to analyze sample responses. Path coefficients corroborated the statistically significant effects of government role, green marketing, and corporate social responsibility based on Tri Hita Karana on the sustainability of tourism villages, with a p-value of 0.000, which is significant at the 0.05 level. The findings also demonstrated a significant effect of community empowerment on sustainable tourism villages with a p-value of 0.028. In addition, a government role, community empowerment, green marketing, and corporate social responsibility, based on Tri Hita Karana, lead to the development of a more responsible, inclusive, and sustainable tourism sector, which provides long-term benefits for all parties involved.

Acknowledgment
The authors would like to express sincere appreciation to the Ministry of Education, Culture, Research, and Technology, Republic of Indonesia, for financing this study through the Fundamental Research Scheme in 2024.

view full abstract hide full abstract
    • Figure 1. Conceptual model
    • Figure 2. Structural model
    • Table 1. Demographic profile
    • Table 2. Reliability of the variables
    • Table 3. Discriminant validity
    • Table 4. Coefficient of determination
    • Table 5. Path coefficients
    • Conceptualization
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Data curation
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Formal Analysis
      Wayan Ardani
    • Funding acquisition
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Investigation
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Methodology
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Resources
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Software
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Supervision
      Wayan Ardani
    • Validation
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Visualization
      Wayan Ardani, Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih
    • Writing – original draft
      Wayan Ardani, Ni Made Yudhaningsih
    • Writing – review & editing
      Wayan Ardani, Ni Wayan Ari Sudiartini
    • Project administration
      Ni Wayan Ari Sudiartini, Ni Made Yudhaningsih