IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0249448.html
   My bibliography  Save this article

Identifying the natural and anthropogenic factors influencing the spatial disparity of population hollowing in traditional villages within a prefecture-level city

Author

Listed:
  • Sheng Liu
  • Ming Bai
  • Min Yao
  • Ke Huang

Abstract

In developing countries, the phenomena of rural depopulation have been an intense continuing, which have become a major bottleneck for the sustainable revitalization of traditional villages. However, the factors influencing the spatial disparity of population hollowing (SDPH) in traditional villages within a prefecture-level city have not been fully quantitatively researched. Based on the factors that influence general villages, this study incorporated historical and cultural factors related to traditional village characteristics to construct a targeted influencing factor index system and then identified the key factors by applying the geo-detector method. With the percentage of resident population (PRP) used as a metric, this study examined Lishui, one of China’s traditional village agglomeration regions, as an example to explore SDPH in traditional villages. The results of this study were revealed in the following. (1) The average PRP value in traditional villages in Lishui was 0.68, with clear spatial disparities between the northern region (0.73) and the southern region (0.57). (2) The factors driving the SDPH included both natural and anthropogenic factors; of these, altitude, the number of public facilities, and the number of communication base stations were the most significant influencing factors. In contrast, historical and cultural factors have relatively low impacts. (3) The interaction relationships of pair factors were often enhanced on a bivariate basis, with the highest enhanced impact occurring from the interaction of two variables: the degree of intangible cultural inheritance and altitude. (4) The intervals of the variables leading to the hollowing of the population above a moderate level can be detected. This method can effectively analyze the factors influencing SDPH in traditional villages; can help reveal the interaction impact of pair factors; and can help identify the factors’ risk intervals.

Suggested Citation

  • Sheng Liu & Ming Bai & Min Yao & Ke Huang, 2021. "Identifying the natural and anthropogenic factors influencing the spatial disparity of population hollowing in traditional villages within a prefecture-level city," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-21, April.
    • Handle: RePEc:plo:pone00:0249448
    DOI: 10.1371/journal.pone.0249448
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0249448
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0249448&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0249448?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lu, Yi & Xie, Huihua & Xu, Lixin Colin, 2016. "Telecommunication externality on migration: Evidence from Chinese villages," China Economic Review, Elsevier, vol. 39(C), pages 77-90.
    2. Lehtonen, Olli, 2020. "Population grid-based assessment of the impact of broadband expansion on population development in rural areas," Telecommunications Policy, Elsevier, vol. 44(10).
    3. Wang, Chengchao & Gao, Bidan & Weng, Zudeng & Tian, Ying, 2020. "Primary causes of total hamlet abandonment for different types of hamlets in remote mountain areas of China: A case study of Shouning County, Fujian Province," Land Use Policy, Elsevier, vol. 95(C).
    4. Chenxi Li & Kening Wu, 2017. "Driving forces of the villages hollowing based on geographically weighted regression model: a case study of Longde County, the Ningxia Hui Autonomous Region, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1059-1079, December.
    5. Tian, Junfeng & Wang, Binyan & Zhang, Chuanrong & Li, Weidong & Wang, Shijun, 2020. "Mechanism of regional land use transition in underdeveloped areas of China: A case study of northeast China," Land Use Policy, Elsevier, vol. 94(C).
    6. Grace, Kathryn & Hertrich, Véronique & Singare, Djeneba & Husak, Greg, 2018. "Examining rural Sahelian out-migration in the context of climate change: An analysis of the linkages between rainfall and out-migration in two Malian villages from 1981 to 2009," World Development, Elsevier, vol. 109(C), pages 187-196.
    7. Zhou, Yang & Li, Yamei & Xu, Chenchen, 2020. "Land consolidation and rural revitalization in China: Mechanisms and paths," Land Use Policy, Elsevier, vol. 91(C).
    8. Cheng, Mingyang & Yansui Liu, & Zhou, Yang, 2019. "Measuring the symbiotic development of rural housing and industry: A case study of Fuping County in the Taihang Mountains in China," Land Use Policy, Elsevier, vol. 82(C), pages 307-316.
    9. Amar Kumar KATHWAS & Nilanchal PATEL, 2019. "Effects Of Landuse And Landcover Dynamics On The Migration And Demographic Pattern Of Tribal Population Using Geospatial Techniques," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 14(3), pages 77-97, August.
    10. Sheng Liu & Jian Ge & Wangming Li & Ming Bai, 2020. "Historic Environmental Vulnerability Evaluation of Traditional Villages Under Geological Hazards and Influencing Factors of Adaptive Capacity: A District-Level Analysis of Lishui, China," Sustainability, MDPI, vol. 12(6), pages 1-21, March.
    11. Xin Xu & Yuan Zhao & Xinlin Zhang & Siyou Xia, 2018. "Identifying the Impacts of Social, Economic, and Environmental Factors on Population Aging in the Yangtze River Delta Using the Geographical Detector Technique," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    12. Guo, Zhanfeng & Sun, Li, 2016. "The planning, development and management of tourism: The case of Dangjia, an ancient village in China," Tourism Management, Elsevier, vol. 56(C), pages 52-62.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Bin Guo & Yi Bian & Lin Pei & Xiaowei Zhu & Dingming Zhang & Wencai Zhang & Xianan Guo & Qiuji Chen, 2022. "Identifying Population Hollowing Out Regions and Their Dynamic Characteristics across Central China," Sustainability, MDPI, vol. 14(16), pages 1-19, August.
    2. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Liu, Sheng & Ge, Jian & Bai, Ming & Yao, Min & He, Linying & Chen, Ming, 2022. "Toward classification-based sustainable revitalization: Assessing the vitality of traditional villages," Land Use Policy, Elsevier, vol. 116(C).
    2. Leng Liu & Congjie Cao & Wei Song, 2023. "Bibliometric Analysis in the Field of Rural Revitalization: Current Status, Progress, and Prospects," IJERPH, MDPI, vol. 20(1), pages 1-18, January.
    3. Gomez-Vidal, Cristina & Gomez, Anu Manchikanti, 2021. "Invisible and unequal: Unincorporated community status as a structural determinant of health," Social Science & Medicine, Elsevier, vol. 285(C).
    4. Wang, Wenxiong & Lan, Yuanqin & Wang, Xu, 2021. "Impact of livelihood capital endowment on poverty alleviation of households under rural land consolidation," Land Use Policy, Elsevier, vol. 109(C).
    5. Xuan Luo & Zhaomin Tong & Yifan Xie & Rui An & Zhaochen Yang & Yanfang Liu, 2022. "Land Use Change under Population Migration and Its Implications for Human–Land Relationship," Land, MDPI, vol. 11(6), pages 1-22, June.
    6. Yi Wang & Yingming Zhu & Maojun Yu, 2022. "Measuring the implementation effects of rural revitalization in China’s Jiangsu Province: Under the analytical framework of “deconstruction, assessment and brainstorming”," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1146-1169, September.
    7. Fanqi Meng & Li Dong & Yu Zhang, 2023. "Spatiotemporal Dynamic Analysis and Simulation Prediction of Land Use and Landscape Patterns from the Perspective of Sustainable Development in Tourist Cities," Sustainability, MDPI, vol. 15(19), pages 1-21, October.
    8. Lü, Da & Gao, Guangyao & Lü, Yihe & Xiao, Feiyan & Fu, Bojie, 2020. "Detailed land use transition quantification matters for smart land management in drylands: An in-depth analysis in Northwest China," Land Use Policy, Elsevier, vol. 90(C).
    9. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    10. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
    11. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    12. Changli Zhu & Zhongfa Zhou & Guoxuan Ma & Linjiang Yin, 2022. "Spatial differentiation of the impact of transport accessibility on the multidimensional poverty of rural households in karst mountain areas," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(3), pages 3863-3883, March.
    13. Zaitul Zaitul & Novianti Neva & Ilona Desi, 2022. "Village-Based Tourism Performance: Tourist Satisfaction and Revisit Intention," Polish Journal of Sport and Tourism, Sciendo, vol. 29(2), pages 36-43, June.
    14. Ying Lu & Walter Timo de Vries, 2023. "Spatio-Temporal Analysis of Rural Development in China over the Past 40 Years," Sustainability, MDPI, vol. 15(11), pages 1-20, May.
    15. Haicong Li & Lu Wang & Jianzhou Gong & A-Xing Zhu & Yueming Hu, 2021. "Land-Use Modes of the Dike–Pond System in the Pearl River Delta of China and Implications for Rural Revitalization," Land, MDPI, vol. 10(5), pages 1-20, April.
    16. Fang, Lan & Quan, Yurong & Mao, Hui & Chen, Shaojian, 2022. "The Information Communication Technology and Off-farm Employment of Rural Laborers: An Analysis Based on the Micro Data of China Family Panel Studies," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322088, Agricultural and Applied Economics Association.
    17. Tie Wang & Wei Wang & Zhongjun Wu & Ching-Hui Su & Ming-Hsiang Chen, 2019. "Understanding Farm Households’ Participation in Nong Jia Le in China," Sustainability, MDPI, vol. 11(5), pages 1-18, February.
    18. Ichaou Mounirou, 2022. "Do climatic factors induce rural migration? Empirical evidence from cotton farmers in Benin," Natural Resources Forum, Blackwell Publishing, vol. 46(4), pages 393-409, November.
    19. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    20. Lee, Hyeongjik & Jeong, Seonkoo & Lee, Kwanghee, 2023. "The South Korean case of deploying rural broadband via fiber networks by implementing universal service obligation and public-private partnership based project," Telecommunications Policy, Elsevier, vol. 47(3).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0249448. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.