Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China

Research Article

Research on Rural Tourism Development Mechanism Based on SWOT-QSPM Model: Yangshuo County, Guangxi as an Example

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  • @INPROCEEDINGS{10.4108/eai.12-1-2024.2347229,
        author={Shadan  Sun and Jiacheng  Yang and Yuhan  Bao and Xiaofang  Chen},
        title={Research on Rural Tourism Development Mechanism Based on SWOT-QSPM Model: Yangshuo County, Guangxi as an Example},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12--14, 2024, Ningbo, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2024},
        month={6},
        keywords={rural revitalisation; rural tourism; influence factors; swot; qspm},
        doi={10.4108/eai.12-1-2024.2347229}
    }
    
  • Shadan Sun
    Jiacheng Yang
    Yuhan Bao
    Xiaofang Chen
    Year: 2024
    Research on Rural Tourism Development Mechanism Based on SWOT-QSPM Model: Yangshuo County, Guangxi as an Example
    BDEDM
    EAI
    DOI: 10.4108/eai.12-1-2024.2347229
Shadan Sun1, Jiacheng Yang1,*, Yuhan Bao1, Xiaofang Chen1
  • 1: Guangxi University
*Contact email: 2122310308@st.gxu.edu.cn

Abstract

At present, the strategy of rural revitalization is fully implemented, and rural tourism, as an important path to boost rural revitalization and promote the high-quality development of the rural economy, is in urgent need of research related to it. This paper applies the combined SWOT-QSPM approach to quantify the impact of rural tourism industry in Yangshuo County by constructing a quantitative strategic planning matrix of driving factors and cross-analysis, and quantifies each factor in terms of the importance of different influencing factors and the intensity of their activities, as well as quantitatively evaluating the proposed development strategies. Among the six development strategies, "making full use of tourism resources through the rural revitalization strategy" scored the highest, at 4.65. Based on the theory of regional development path dependence, this paper constructs a theoretical framework for rural tourism development and adopts the multivariate logistic regression model to determine the most representative influencing factors, which enriches the mechanism of rural tourism development and analyses the interrelationships between the rural economy, society, and natural environment and its tourism industry from a multidimensional perspective, thus expanding a new way of thinking in the direction of rural tourism research.