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Practical Dilemma and Upgrading Path of Rural Home-Stay Tourism Industry: Taking Danba Ethnic Area of Sichuan Province as the Research Object

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Proceedings of the Fourteenth International Conference on Management Science and Engineering Management (ICMSEM 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1191))

Abstract

Tourism is an important way for poverty-stricken areas to get rid of poverty and become better-off. The rural home-stay tourism industry and tourism industry in Sichuan ethnic areas can integrate related industries and promote economic development, and it brings great benefits to local residents and makes itself the main front for China to implement the targeted poverty alleviation strategy. Under the background of rural revitalization, the rural home-stay tourism industry in Sichuan ethnic areas has ushered in development opportunities due to their unique tourism resources and culture. This paper takes the upgrading and development of rural home-stay industry in Danba ethnic area of Sichuan province as the research object. Data is collected based on the semi-structural interview with the local government and operators of the rural home-stay business. The ecological footprint and fuzzy comprehension evaluation are adopted to analyze the data and the current situation in rural home-stay tourism industry. Finally, the research proposed the sustainable development strategies for the rural home-stay tourism industry in Sichuan ethnic areas.

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Acknowledgements

This study was supported by Southwest China Minority Research Center: A Study on the Development and Upgrade Paths of the Rural Home-stay Industry in Sichuan Ethnic Areas (NO. XNYJY1907).

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Correspondence to Sha Sha .

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Sha, S. (2021). Practical Dilemma and Upgrading Path of Rural Home-Stay Tourism Industry: Taking Danba Ethnic Area of Sichuan Province as the Research Object. In: Xu, J., Duca, G., Ahmed, S., García Márquez, F., Hajiyev, A. (eds) Proceedings of the Fourteenth International Conference on Management Science and Engineering Management. ICMSEM 2020. Advances in Intelligent Systems and Computing, vol 1191. Springer, Cham. https://doi.org/10.1007/978-3-030-49889-4_43

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