IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i7p1354-d1188533.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/7/1354/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/7/1354/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    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. 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.
    2. Jianghong Xu & Wei Lu & Weixin Wang, 2024. "From “fragile smallholders” to “resilient smallholders”: measuring rural household resilience in China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.

    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. Balzan, Mario V & Caruana, Julio & Zammit, Annrica, 2018. "Assessing the capacity and flow of ecosystem services in multifunctional landscapes: Evidence of a rural-urban gradient in a Mediterranean small island state," Land Use Policy, Elsevier, vol. 75(C), pages 711-725.
    2. Smith, Helen F. & Sullivan, Caroline A., 2014. "Ecosystem services within agricultural landscapes—Farmers' perceptions," Ecological Economics, Elsevier, vol. 98(C), pages 72-80.
    3. Lippert, Christian & Feuerbacher, Arndt & Narjes, Manuel, 2021. "Revisiting the economic valuation of agricultural losses due to large-scale changes in pollinator populations," Ecological Economics, Elsevier, vol. 180(C).
    4. Nicholas W Calderone, 2012. "Insect Pollinated Crops, Insect Pollinators and US Agriculture: Trend Analysis of Aggregate Data for the Period 1992–2009," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-27, May.
    5. repec:idb:brikps:64718 is not listed on IDEAS
    6. Ioannis Arzoumanidis & Andrea Raggi & Luigia Petti, 2019. "Life Cycle Assessment of Honey: Considering the Pollination Service," Administrative Sciences, MDPI, vol. 9(1), pages 1-13, March.
    7. Centner, Terence J. & Brewer, Brady & Leal, Isaac, 2018. "Reducing damages from sulfoxaflor use through mitigation measures to increase the protection of pollinator species," Land Use Policy, Elsevier, vol. 75(C), pages 70-76.
    8. Margot Karlikow & Evan Amalfitano & Xiaolong Yang & Jennifer Doucet & Abigail Chapman & Peivand Sadat Mousavi & Paige Homme & Polina Sutyrina & Winston Chan & Sofia Lemak & Alexander F. Yakunin & Adam, 2023. "CRISPR-induced DNA reorganization for multiplexed nucleic acid detection," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    9. Melathopoulos, Andony P. & Stoner, Alexander M., 2015. "Critique and transformation: On the hypothetical nature of ecosystem service value and its neo-Marxist, liberal and pragmatist criticisms," Ecological Economics, Elsevier, vol. 117(C), pages 173-181.
    10. Laura Christ & Daniel C. Dreesmann, 2022. "SAD but True: Species Awareness Disparity in Bees Is a Result of Bee-Less Biology Lessons in Germany," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
    11. Giannini, Tereza C. & Acosta, André L. & Garófalo, Carlos A. & Saraiva, Antonio M. & Alves-dos-Santos, Isabel & Imperatriz-Fonseca, Vera L., 2012. "Pollination services at risk: Bee habitats will decrease owing to climate change in Brazil," Ecological Modelling, Elsevier, vol. 244(C), pages 127-131.
    12. Tremlett, Constance J. & Peh, Kelvin S.-H. & Zamora-Gutierrez, Veronica & Schaafsma, Marije, 2021. "Value and benefit distribution of pollination services provided by bats in the production of cactus fruits in central Mexico," Ecosystem Services, Elsevier, vol. 47(C).
    13. Halbich, Cestmir & Vostrovsky, Vaclav, 2012. "Monitoring of infection pressure of American Foulbrood disease by means of Google Maps," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 4(4), pages 1-8, December.
    14. Vanessa Gabel & Robert Home & Sibylle Stöckli & Matthias Meier & Matthias Stolze & Ulrich Köpke, 2018. "Evaluating On-Farm Biodiversity: A Comparison of Assessment Methods," Sustainability, MDPI, vol. 10(12), pages 1-14, December.
    15. Thompson, Wyatt & Lu, Yaqiong & Gerlt, Scott & Yang, Xianyu & Campbell, J. Elliott & Kueppers, Lara M. & Snyder, Mark A., 2018. "Automatic Responses of Crop Stocks and Policies Buffer Climate Change Effects on Crop Markets and Price Volatility," Ecological Economics, Elsevier, vol. 152(C), pages 98-105.
    16. Letourneau, Deborah K. & Ando, Amy W. & Jedlicka, Julie A. & Narwani, Anita & Barbier, Edward, 2015. "Simple-but-sound methods for estimating the value of changes in biodiversity for biological pest control in agriculture," Ecological Economics, Elsevier, vol. 120(C), pages 215-225.
    17. Costanza, Robert & Howarth, Richard B. & Kubiszewski, Ida & Liu, Shuang & Ma, Chunbo & Plumecocq, Gaël & Stern, David I., 2016. "Influential publications in ecological economics revisited," Ecological Economics, Elsevier, vol. 123(C), pages 68-76.
    18. Nuppenau, Ernst-August, 2011. "Linking Crop Rotation and Fertility Management by a Transition Matrix: Spatial and Dynamic Aspects in Programming of Ecosystem Service," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114600, European Association of Agricultural Economists.
    19. Francois Bareille & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2021. "Cooperative Management of Ecosystem Services: Coalition Formation, Landscape Structure and Policies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 79(2), pages 323-356, June.
    20. Hong Zhang & Chao Han & Tom D. Breeze & Mengdan Li & Shibonage K. Mashilingi & Jun Hua & Wenbin Zhang & Xuebin Zhang & Shiwen Zhang & Jiandong An, 2022. "Bumblebee Pollination Enhances Yield and Flavor of Tomato in Gobi Desert Greenhouses," Agriculture, MDPI, vol. 12(6), pages 1-15, May.
    21. Teklewold, Hailemariam & Kassie, Menale & Abro, Zewdu & Mulungu, Kelvin & Sevgan, Subramanian, 2021. "The Role of Pollination Services and Disrupting Cropping Patterns in Closing Nutrition Gap in Sub-Saharan Africa," 2021 Conference, August 17-31, 2021, Virtual 315241, International Association of Agricultural Economists.

    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:gam:jlands:v:12:y:2023:i:7:p:1354-:d:1188533. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.