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Evaluation of Tourism Development Potential on Provinces along the Belt and Road in China: Generation of a Comprehensive Index System

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  • Yuying Chen

    (Research Institute of Study Travel, Henan University, Kaifeng 475001, China
    School of Cultural Industry & Tourism Management, Henan University, Kaifeng 475001, China
    Research Institute for the Yellow River National Cultural Park, Henan University, Kaifeng 475001, China)

  • Yajie Li

    (School of Cultural Industry & Tourism Management, Henan University, Kaifeng 475001, China)

  • Xiangfeng Gu

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Nan Chen

    (Research Institute of Study Travel, Henan University, Kaifeng 475001, China
    School of Cultural Industry & Tourism Management, Henan University, Kaifeng 475001, China
    Research Institute for the Yellow River National Cultural Park, Henan University, Kaifeng 475001, China)

  • Qing Yuan

    (Research Institute of Study Travel, Henan University, Kaifeng 475001, China
    School of Cultural Industry & Tourism Management, Henan University, Kaifeng 475001, China
    College of Geography and Environmental Science, Henan University, Kaifeng 475004, China)

  • Ming Yan

    (Institute of Employment Entrepreneurship Guidance, Henan University of Economics and Law, Zhengzhou 450046, China)

Abstract

The evaluation of tourism development potential (TDP) is the crucial foundation and critical step for sustainable regional tourism development. Prior studies mainly evaluate TDP through the univariate potential model and the multi-indicator descriptive evaluation. However, these two methods have only limited effectiveness for the destination’s TDP in the context of the mesoscale level. Thus, this study aims to develop an effective multi-dimensional mesoscale to evaluate the destination’s TDP and construct a potential index model. Based on the literature review, this study develops four rule layers (tourism supply and consumption ( X 1 ), the demand and purchasing power of tourist source ( X 2 ), development value of destination resources ( X 3 ), and the contribution of the destination’s tourism industry ( X 4 )) and 31 factor layers. All the factor layers are then assigned values based on the provincial statistics in China in 2019. Through SPSS 24.0, the current study uses the principal component analysis (PCA) to construct a provincial TDP index model for the research area: Y = 0.2573 X 1 + 0.1305 X 2 + 0.3177 X 3 + 0.2945 X 4 . The results show significant regional differences in the TDP index of the provinces along the Belt and Road (study area) in China. Among them, Guangdong has the most extensive TDP index, Qinghai has the smallest TDP index. The study also uses ArcGIS 10.2 for the function of kernel density analysis to visualize provincial TDP and finds significant spatial differences and a central-edge distribution pattern across provinces.

Suggested Citation

  • Yuying Chen & Yajie Li & Xiangfeng Gu & Nan Chen & Qing Yuan & Ming Yan, 2021. "Evaluation of Tourism Development Potential on Provinces along the Belt and Road in China: Generation of a Comprehensive Index System," Land, MDPI, vol. 10(9), pages 1-21, August.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:905-:d:623403
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    References listed on IDEAS

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    1. Alastair M. Morrison, 2022. "Editorial: Land Issues and Their Impact on Tourism Development," Land, MDPI, vol. 11(5), pages 1-6, April.
    2. Xiaoyu Wang & Minyi Zhang & Siying Jie & Mu Zhang & Zhan Zhang, 2023. "Exploring the Coordinated Evolution Mechanism of Regional Sustainable Development and Tourism in China’s “Beautiful China” Initiative," Land, MDPI, vol. 12(5), pages 1-24, May.

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