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Characteristics and Influencing Factors on the Hollowing of Traditional Villages—Taking 2645 Villages from the Chinese Traditional Village Catalogue (Batch 5) as an Example

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  • Chunla Liu

    (Key Laboratory of Geospatial Big Data Mining and Application, College of Geographic Sciences, Hunan Normal University, Changsha 410081, China)

  • Mei Xu

    (College of Tourism, Central South University of Forestry and Technology, Changsha 410004, China)

Abstract

With the rapid development of urbanization and modernization, the population of traditional villages migrates into surrounding areas, causing the hollowing of traditional villages. The disintegration of China’s traditional village means the loss of historical memory and cultural characteristics of ethnic regions, seriously endangering the country’s cultural heritage. To better understand the hollowing phenomenon, this study analyzed 2645 villages from the Chinese traditional village catalogue (Batch 5) and evaluated different village attributes, including location, household registration, permanent population, number of traditional buildings, cultural relics, historical buildings, and non-heritage representative projects. We constructed an evaluation index system and used the entropy weight method, comprehensive evaluation method, and correlation analysis method to quantitatively assess the characteristics and influencing factors of hollowing among traditional Chinese villages. The main results are as follows: ① The hollowing index was above 0.5; most traditional villages have entered the stage of high hollowing. ② The traditional villages with hollowing index above 0.9 comprised 92%, and those between 0.8 and 0.9 made up 6%. Those with hollowing index at intervals 0.7–0.8, 0.6–0.7, and 0.5–0.6 accounted for 0.98%, 0.30%, and 0.11%, respectively. ③ Population hollowing is the fundamental cause of traditional village hollowing. In more than 99% of traditional villages, the population hollowing index was greater than 0.7. ④ More than 99% of traditional villages have a building hollowing index greater than 0.4, and more than 92% of the villages had a per capita number below 0.1. ⑤ The cultural hollowing rate for most traditional villages was very high. The cultural hollowing index for more than 99% of traditional villages was greater than 0.7. This study provides references for government administrators and scholars in rural revitalization and traditional village hollowing governance.

Suggested Citation

  • Chunla Liu & Mei Xu, 2021. "Characteristics and Influencing Factors on the Hollowing of Traditional Villages—Taking 2645 Villages from the Chinese Traditional Village Catalogue (Batch 5) as an Example," IJERPH, MDPI, vol. 18(23), pages 1-19, December.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:23:p:12759-:d:694281
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    1. Cho, Seong-Hoon & Newman, David H., 2005. "Spatial analysis of rural land development," Forest Policy and Economics, Elsevier, vol. 7(5), pages 732-744, August.
    2. Zang, Yuzhu & Liu, Yansui & Yang, Yuanyuan & Woods, Michael & Fois, Francesca, 2020. "Rural decline or restructuring? Implications for sustainability transitions in rural China," Land Use Policy, Elsevier, vol. 94(C).
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    Cited by:

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    2. Ningling Xie & Bin Cheng, 2023. "The Impact of Urban Expressways on the Street Space of Traditional Tibetan Villages in Kham, Taking Daofu County as an Example," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    3. Kai Xin & Jingyuan Zhao & Tianhui Wang & Weijun Gao, 2022. "Supporting Design to Develop Rural Revitalization through Investigating Village Microclimate Environments: A Case Study of Typical Villages in Northwest China," IJERPH, MDPI, vol. 19(14), pages 1-20, July.
    4. Minghui Ou & Yexi Zhong & Hongzhi Ma & Wenhui Wang & Manyu Bi, 2022. "Impacts of Policy-Driven Transformation in the Livelihoods of Fishermen on Agricultural Landscape Patterns: A Case Study of a Fishing Village, Island of Poyang Lake," Land, MDPI, vol. 11(8), pages 1-16, August.
    5. Yuzhu Zang & Junjun Zhu & Xu Han & Ligang Lv, 2023. "Dynamics between Population Growth and Construction Land Expansion: Evidence from the Yangtze River Economic Belt of China," Land, MDPI, vol. 12(7), pages 1-20, June.
    6. Guohui Xu & Jinlong Zhou & Yi Dai & Jinhuang Lin & Fangfang Zou, 2023. "Regional Differences, Temporal Evolution, and Drivers of Rural Hollowing in Coastal Provinces: A Case Study of Fujian Province," Sustainability, MDPI, vol. 15(18), pages 1-15, September.
    7. Haoran Su & Yaowu Wang & Zhen Zhang & Wen Dong, 2022. "Characteristics and Influencing Factors of Traditional Village Distribution in China," Land, MDPI, vol. 11(10), pages 1-26, September.
    8. Bin Shi & Hongtao Liu & Lu Huang & Yang Zhang & Zhangyong Xiang, 2023. "Increasing Vulnerability of Village Heritage: Evidence from 123 Villages in Aba Prefecture, Sichuan, China," Land, MDPI, vol. 12(11), pages 1-29, November.
    9. Xiaohu Liu & Lei Yuan & Gangyi Tan, 2023. "Identification and Hierarchy of Traditional Village Characteristics Based on Concentrated Contiguous Development—Taking 206 Traditional Villages in Hubei Province as an Example," Land, MDPI, vol. 12(2), pages 1-19, February.

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