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Assessment of Synergistic Development Potential between Tourism and Rural Restructuring Using a Coupling Analysis: A Case Study of Southern Shaanxi, China

Author

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  • Wenli Jing

    (School of Architecture, Chang’an University, No. 161 Middle Chang’an Road, Yanta District, Xi’an 710061, China)

  • Wei Zhang

    (School of Architecture, Chang’an University, No. 161 Middle Chang’an Road, Yanta District, Xi’an 710061, China)

  • Pingping Luo

    (School of Water & Environmental, Chang’an University, Xi’an 710061, China
    Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, Xi’an 710061, China)

  • Lian Wu

    (School of Architecture, Chang’an University, No. 161 Middle Chang’an Road, Yanta District, Xi’an 710061, China)

  • Lei Wang

    (School of Architecture, Chang’an University, No. 161 Middle Chang’an Road, Yanta District, Xi’an 710061, China)

  • Kanhua Yu

    (School of Architecture, Chang’an University, No. 161 Middle Chang’an Road, Yanta District, Xi’an 710061, China)

Abstract

Tourism plays an important role in rural restructuring, especially in mountainous areas. Mismatches between tourism and rural in terms of the development level and efficiency have given rise to a variety of challenges. In order to achieve the orderly growth of tourism and sustainable rural restructuring, there is an urgent need to explore the interaction between the two. Thus, we introduce the concept of synergistic development potential (SDP) and construct an assessment framework using coupling analysis. Southern Shaanxi, in the Qin-Ba mountainous area, a Chinese region rich in ecological tourism resources, was selected as a case study to evaluate the SDP during the period 2013 to 2018. In our framework, a comprehensive index system with 21 indicators was developed to evaluate the tourism development levels (TDL) and rural development levels (RDL) in 2013 and 2018, and the tourism development efficiency (TDE) and rural restructuring efficiency (RRE) during this period. Secondly, correlations between TDL and RDL, as well as correlations between TDE and RDE, were quantified using the coupling coordination degree model (CCDM). Finally, the SDP evaluation model was constructed through combing the coupling coordination degrees of current development levels and development efficiencies. The case study results indicate that the primary-level coordination counties are both dominated in this region in terms of the relationship of development levels as well as the development efficiencies. Additionally, the SDP results show a significant difference in 25 counties, with 36% of them having low potential, 48% having medium potential, and 16% having high potential. This study could intuitively show the development differences among various units and provide theoretical and methodological support for the rural tourism zoning strategies.

Suggested Citation

  • Wenli Jing & Wei Zhang & Pingping Luo & Lian Wu & Lei Wang & Kanhua Yu, 2022. "Assessment of Synergistic Development Potential between Tourism and Rural Restructuring Using a Coupling Analysis: A Case Study of Southern Shaanxi, China," Land, MDPI, vol. 11(8), pages 1-21, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1352-:d:892609
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    References listed on IDEAS

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    3. Kuat Saparov & Miroslava Omirzakova & Aigul Yeginbayeva & Aigul Sergeyeva & Kairat Saginov & Gulnash Askarova, 2024. "Assessment for the Sustainable Development of Components of the Tourism and Recreational Potential of Rural Areas of the Aktobe Oblast of the Republic of Kazakhstan," Sustainability, MDPI, vol. 16(9), pages 1-21, May.
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    5. Hai Xiao & Jiahao Yu & Yifan Zhang & Chuliang Xin & Jiangjun Wan & Xiaohong Tang, 2024. "Coupling Coordination Analysis of County Tourism Development and Multidimensional Poverty Based on Nighttime Light Data," Land, MDPI, vol. 13(5), pages 1-22, May.
    6. Shiqiao Fang & Kaihang Ou & Jing Xiong & Rongmei Teng & Lifang Han & Xufan Zhou & Hongyu Ma, 2023. "The coupling coordination between rural public services and rural tourism and its causative factors: The case study of southwestern China," PLOS ONE, Public Library of Science, vol. 18(8), pages 1-24, August.
    7. Weiying Cai & Jie Yu & Wei Yang, 2023. "The Spatial Synergy of the Ice–Snow Tourism Industry and Its Related Industries in Jilin Province," Sustainability, MDPI, vol. 15(16), pages 1-15, August.
    8. Yi Cong & Yanxia Zhai & Yubo Dong & Zhilong Zhao & Guang Yang & Hejiang Shen, 2024. "The Influence of Tourism’s Spatiotemporal Heterogeneity on the Urban–Rural Relationship: A Case Study of the Beijing–Tianjin–Hebei Urban Agglomeration, China," Sustainability, MDPI, vol. 16(17), pages 1-20, August.
    9. Geng, Yuqing & Zhang, Xiaorui & Gao, Juan & Yan, Yan & Chen, Lingyan, 2024. "Bibliometric analysis of sustainable tourism using CiteSpace," Technological Forecasting and Social Change, Elsevier, vol. 202(C).

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