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Driving forces of the villages hollowing based on geographically weighted regression model: a case study of Longde County, the Ningxia Hui Autonomous Region, China

Author

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  • Chenxi Li

    (China University of Geosciences (Beijing))

  • Kening Wu

    (China University of Geosciences (Beijing)
    Ministry of Land and Resources)

Abstract

The reconstruction of hollowed villages comes into being an important measure for taking targeted measures in poverty alleviation in China. Many scholars studied hollowed villages from the geographical perspective. However, from the perspective of the village collective economic development, the quantitative analysis about the formation of hollowed villages was few. The present research analyzed the driving force of the hollowed villages’ formation process. Based on village collective economy development status survey data of Longde County, the Ningxia Hui Autonomous Region, China, we chose eight factors from the geographic, economic, resources, traffic, demographic and geological conditions by using the geographically weighted regression (GWR) model. Moreover, we drew driving force factors outlines of different figures’ spatial results by using ArcGIS 10.1. The results showed that: (1) GWR model can reveal much more profound spatial differential of driving force than that by the traditional OLS method; (2) driving factors of hollowed village’ rate were various among different administrative villages, showing an obvious spatial differential; (3) according to the main factors driving hollowed villages’ formation, we proposed differentiated strategies to control hollowing village problem in Longde County.

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:89:y:2017:i:3:d:10.1007_s11069-017-3008-y
    DOI: 10.1007/s11069-017-3008-y
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    References listed on IDEAS

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    1. Jan Blachowski, 2016. "Application of GIS spatial regression methods in assessment of land subsidence in complicated mining conditions: case study of the Walbrzych coal mine (SW Poland)," 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. 84(2), pages 997-1014, November.
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    3. Ana Sá & José Pereira & Martin Charlton & Bernardo Mota & Paulo Barbosa & A. Stewart Fotheringham, 2011. "The pyrogeography of sub-Saharan Africa: a study of the spatial non-stationarity of fire–environment relationships using GWR," Journal of Geographical Systems, Springer, vol. 13(3), pages 227-248, September.
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    Cited by:

    1. Yanbo Qu & Weiying Zhao & Lijun Zhao & Yanfeng Zheng & Zhiwei Xu & Huailong Jiang, 2022. "Research on Hollow Village Governance Based on Action Network: Mode, Mechanism and Countermeasures—Comparison of Different Patterns in Plain Agricultural Areas of China," Land, MDPI, vol. 11(6), pages 1-26, May.
    2. Liyuan Zhao & Xingping Wang, 2021. "Rural Housing Vacancy in Metropolitan Suburbs and Its Influencing Factors: A Case Study of Nanjing, China," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
    3. Xueru Zhang & Jie Wang & Wei Song & Fengfei Wang & Xing Gao & Lei Liu & Kun Dong & Dazhi Yang, 2022. "Decoupling Analysis between Rural Population Change and Rural Construction Land Changes in China," Land, MDPI, vol. 11(2), pages 1-17, February.
    4. 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.
    5. 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.
    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. Zhiheng Yang & Chenxi Li & Yongheng Fang, 2020. "Driving Factors of the Industrial Land Transfer Price Based on a Geographically Weighted Regression Model: Evidence from a Rural Land System Reform Pilot in China," Land, MDPI, vol. 9(1), pages 1-21, January.
    8. Fangqin Yang & Jianwei Sun & Junchang Yang & Xiaojin Liang, 2023. "Expanded Residential Lands and Reduced Populations in China, 2000–2020: Patch-Scale Observations of Rural Settlements," Land, MDPI, vol. 12(7), pages 1-17, July.

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