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Spatiotemporal Variation of Rural Vulnerability and Its Clustering Model in Guizhou Province

Author

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  • Min Zhou

    (School of Public Administration, Guizhou University, Guiyang 550025, China)

  • Liu Yang

    (School of Public Administration, Guizhou University, Guiyang 550025, China
    Department of ASEAN Research Institute, Guizhou University, Guiyang 550025, China)

  • Dan Ye

    (School of Public Administration, Guizhou University, Guiyang 550025, China)

Abstract

The vulnerability of China’s rural system is becoming increasingly obvious due to the multiple pressures of geological conditions and human interference. This study selected Guizhou Province to measure the degree of vulnerability and determine a rural system’s temporal and spatial characteristics. We select the county as the unit, build the vulnerability assessment of a rural system based on the three dimensions of exposure, sensitivity, and adaptability, and employ the combination weighting method. The final development indicator of the rural vulnerability measurement model was obtained using the Technique for Order Preference by Similarity to the Ideal Solution method. Further, SatScan v10.1 software was used for spatiotemporal scanning statistical analysis, and its clustering pattern was analyzed. Finally, visual analysis was conducted using ArcGIS 10.7 software. The results showed that exposure and sensitivity have an increasing fluctuation trend, while adaptability has a decreasing trend. The combined effect resulted in an increasing trend of vulnerability. The mean values of exposure, sensitivity, adaptation, and rural vulnerability in Yunyan are 0.906, 0.894, 0.772, and 1.028 higher than those in Nanming, i.e., 0.417, 0.426, 0.687, and 0.262, respectively. The vulnerability of the rural system shows a spatial pattern of “low in the middle and high on both sides,” with spatial clustering, and Guiyang and Zunyi are the cluster centers.

Suggested Citation

  • Min Zhou & Liu Yang & Dan Ye, 2023. "Spatiotemporal Variation of Rural Vulnerability and Its Clustering Model in Guizhou Province," Land, MDPI, vol. 12(7), pages 1-25, July.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1354-:d:1188533
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    1. Seth E. Spielman & Joseph Tuccillo & David C. Folch & Amy Schweikert & Rebecca Davies & Nathan Wood & Eric Tate, 2020. "Evaluating social vulnerability indicators: criteria and their application to the Social Vulnerability Index," 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. 100(1), pages 417-436, January.
    2. Berrouet, Lina & Villegas-Palacio, Clara & Botero, Verónica, 2020. "Vulnerability of Rural Communities to Change in an Ecosystem Service Provision: Surface water supply. A Case Study in the Northern Andes, Colombia," Land Use Policy, Elsevier, vol. 97(C).
    3. Gallai, Nicola & Salles, Jean-Michel & Settele, Josef & Vaissière, Bernard E., 2009. "Economic valuation of the vulnerability of world agriculture confronted with pollinator decline," Ecological Economics, Elsevier, vol. 68(3), pages 810-821, January.
    4. Parra-López, Carlos & Groot, Jeroen C.J. & Carmona-Torres, Carmen & Rossing, Walter A.H., 2008. "Integrating public demands into model-based design for multifunctional agriculture: An application to intensive Dutch dairy landscapes," Ecological Economics, Elsevier, vol. 67(4), pages 538-551, November.
    5. Wan, You & Pei, Tao & Zhou, Chenghu & Jiang, Yong & Qu, Chenxu & Qiao, Youlin, 2012. "ACOMCD: A multiple cluster detection algorithm based on the spatial scan statistic and ant colony optimization," Computational Statistics & Data Analysis, Elsevier, vol. 56(2), pages 283-296.
    6. Hongpeng Guo & Jia Chen & Chulin Pan, 2021. "Assessment on Agricultural Drought Vulnerability and Spatial Heterogeneity Study in China," IJERPH, MDPI, vol. 18(9), pages 1-17, April.
    7. Ji Eun Kim & Jisoo Yu & Jae-Hee Ryu & Joo-Heon Lee & Tae-Woong Kim, 2021. "Assessment of regional drought vulnerability and risk using principal component analysis and a Gaussian mixture model," 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. 109(1), pages 707-724, October.
    8. Eun-Sung Chung & Kil Lee, 2009. "Identification of Spatial Ranking of Hydrological Vulnerability Using Multi-Criteria Decision Making Techniques: Case Study of Korea," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(12), pages 2395-2416, September.
    9. Duong Thi Loi & Le Van Huong & Pham Anh Tuan & Nguyen Thi Hong Nhung & Tong Thi Quynh Huong & Bui Thi Hoa Man, 2022. "An Assessment of Agricultural Vulnerability in the Context of Global Climate Change: A Case Study in Ha Tinh Province, Vietnam," Sustainability, MDPI, vol. 14(3), pages 1-16, January.
    10. Gainbi Park & Zengwang Xu, 2022. "The constituent components and local indicator variables of social vulnerability index," 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. 110(1), pages 95-120, January.
    11. Wei Zhang & Phil McManus & Elizabeth Duncan, 2018. "A Raster-Based Subdividing Indicator to Map Urban Heat Vulnerability: A Case Study in Sydney, Australia," IJERPH, MDPI, vol. 15(11), pages 1-20, November.
    12. Santos Júnior, Edvaldo Pereira & Silva, Magno Vamberto Batista da & Simioni, Flávio José & Rotella Junior, Paulo & Menezes, Rômulo Simões Cezar & Coelho Junior, Luiz Moreira, 2022. "Location and concentration of the forest bioelectricity supply in Brazil: A space-time analysis," Renewable Energy, Elsevier, vol. 199(C), pages 710-719.
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    1. Jianghong Xu & Chenguang Wang & Xukang Yin & Weixin Wang, 2024. "Digital economy and rural household resilience: Evidence from China," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 70(5), pages 244-263.

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