Analysis of Strategic Variables for Ecotourism Development; an Application of Micmac

Main Article Content

Nafiah Ariyani
Akhmad Fauzi

Abstract

This study aims to determine strategic factors and its relationship in developing ecotourism areas. This research uses prospective structural approach. The analytical method uses Micmac to identify the most influential variables and its relation to Kedung Ombo ecotourism development. The results of analysis which realize the typology of strategic variables based on the strength of influence found 6 classifications of variable, namely: 1. The dominant variable consists of: regulation, and governance; 2. Key variable (Relay variable) consists of: institutional coordination, apparatus role, tourism marketing and tourism promotions. 3. Autonomous variable consists of: natural beauty, accessibility, potential of market tourism, local awareness of tourism. 4. The output variable consists of: funds for community, preservation of local wisdom, preservation of forest sustainability, conservation of reservoir function. 5. Regulators variable consists of: special permit policy for investment, retribution policy, tax policy, allowance policy, tourist attractions. 6. Secondary variable consists of: availability of tourism infrastructure, tourist interest of ecotourism, involvement of local community. The results of this study show a variety of information sources for policy makers in Kedung Ombo ecotourism development in a sustainable manner.

Keywords:
Ecotourism, strategic variables, structural prospective, Micmac.

Article Details

How to Cite
Ariyani, N., & Fauzi, A. (2019). Analysis of Strategic Variables for Ecotourism Development; an Application of Micmac. South Asian Journal of Social Studies and Economics, 3(3), 1-12. https://doi.org/10.9734/sajsse/2019/v3i330107
Section
Original Research Article

References

Vystouopil Jiri, Sauer MRO. Quantitative analysis of tourism potential in the czech republic. Acta Univ Agric Silvic Mendelianae Brun. 2017;65(3):1085–98.

Delgado-Serrano M del M, Ambrosio-Albalá M, Amador F. Exploration de l’analyse structurale prospective pour évaluer l’importance du développement rural territorial en Espagne et Nicaragua. Cuad Desarro Rural. 2015;12(76):35–56.

Qin Z. Reseaonable development of tourism resources of reservoir. Res Found Zhejiang Water Resour Dep Zhejiang Water Conserv Hydropower Coll (No xky-201005), PRChina [Internet]. 2011;1–2.
Available:https://ieeexplore.ieee.org/document/5893391 -

Hermans LM, Thissen W. Actor analysis methods and their use for public policy analysts. Eur J Oper Res [Internet]; 2009.
Available from: https://www.researchgate.net/.../223408712_Actor_analysis_

Johannesson GT. Tourism translations: Actor-network theory and tourism research. Tour Stud [Internet]; 2005.
Available:https://www.researchgate.net/publication/249631333_Tourism_translations_Actor-Network_Theory_and_tourism_research

Asmin F, Layout D, Asmin F, Dan E, Berkelanjutan P, Dari D, et al. Ekowisata dan pembangunan berkelanjutan: Dimulai dari konsep sederhana [Internet]; 2017.
Available:https://www.academia.edu/36181512/Buku_Ekowisata_dan_Pembangunan_Berkelanjutan_Dimulai_dari_Konsep_Sederhana

Godet M. The art of scenarios and strategic planning. Technol Forecast Soc Change [Internet]. 2000;65(1):3–22.
Available:http://linkinghub.elsevier.com/retrieve/pii/S0040162599001201

Arias MLB. Structural analysis of strategic variables through micmac use: Case study. Miditerraen J Soc Sci. 2016; 7.

Omran A. Structural analysis with knowledge-based MICMAC approach; 2014.

Go A, Fernandez GS. Foresight analysis of agricultural sector at regional level. Future. 2009;41(2009):313–24.