IDEAS home Printed from https://ideas.repec.org/a/spr/nathaz/v121y2025i13d10.1007_s11069-025-07414-w.html
   My bibliography  Save this article

Evaluation of farmers' disaster risk reduction activities against meteorological disasters in Türkiye: a qualitative study

Author

Listed:
  • Gürkan Yılmaz

    (Aydın Adnan Menderes University)

  • Özlem Çakır

    (Dokuz Eylül University)

Abstract

The most effective risks in agricultural production are natural hazards of meteorological nature. This study aims to evaluate the experiences of farmers in the Aydın province of Türkiye, whose agricultural production activities were damaged by meteorological disasters, regarding risk and damage reduction processes such as taking preventions against meteorological disasters, disaster education, early warnings and risk transfer tools within the scope of agricultural production activities. The study was designed qualitatively. Since it was aimed to obtain in-depth information, the phenomenological design was used in the study. The research was conducted through face-to-face interviews with 21 farmers who suffered from different types of meteorological disasters. A semi-structured interview form was used in the interviews. The data were transcribed and transferred to the MAXQDA 2020 qualitative data analysis program and coded. The findings were examined under four themes: “disaster education, early warnings, preventions and risk transfer”. It was determined that farmers followed meteorological early warnings but the warnings were not made on time during drought periods. It was determined that they did not receive disaster training but were willing to receive disaster training. It has been determined that strategies such as artesian well opening are mostly implemented during drought disaster periods, but the level of implementation of crop management strategies such as changing the crop variety is low. It has been determined that farmers do not take preventions against hailstorm, flood and storm disasters and that they think that precautions cannot be taken against these disasters. It has been determined that most farmers have agricultural insurance, but they do so out of necessity. It has been determined that the vast majority of farmers cannot compensate for their losses during disaster periods due to the limited coverage of their insurance policies. As a result, it is thought that in order for farmers to be more effectively protected against disasters, education and information activities should be strengthened, insurance systems should be improved, and early warning systems should be made more efficient. These measures will enable farmers to be more prepared for disasters and will contribute to minimizing the negative effects on agricultural production.

Suggested Citation

  • Gürkan Yılmaz & Özlem Çakır, 2025. "Evaluation of farmers' disaster risk reduction activities against meteorological disasters in Türkiye: a qualitative study," 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. 121(13), pages 16087-16119, July.
  • Handle: RePEc:spr:nathaz:v:121:y:2025:i:13:d:10.1007_s11069-025-07414-w
    DOI: 10.1007/s11069-025-07414-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11069-025-07414-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11069-025-07414-w?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
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Robert Finger & Nadja El Benni, 2021. "Farm income in European agriculture: new perspectives on measurement and implications for policy evaluation," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 48(2), pages 253-265.
    2. Abiodun A. Ogundeji & Collins C. Okolie, 2022. "Perception and Adaptation Strategies of Smallholder Farmers to Drought Risk: A Scientometric Analysis," Agriculture, MDPI, vol. 12(8), pages 1-18, July.
    3. Zhifeng Zhang & Haodong Xu & Shuangshuang Shan & Qingzhi Liu & Yuqi Lu, 2022. "Whether the Agricultural Insurance Policy Achieves Green Income Growth—Evidence from the Implementation of China’s Total Cost Insurance Pilot Program," IJERPH, MDPI, vol. 19(2), pages 1-20, January.
    4. Wreford, Anita & Topp, Cairistiona F.E., 2020. "Impacts of climate change on livestock and possible adaptations: A case study of the United Kingdom," Agricultural Systems, Elsevier, vol. 178(C).
    5. Muhammad Chowdhury, 2015. "Coding, sorting and sifting of qualitative data analysis: debates and discussion," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1135-1143, May.
    6. MacNicol, R. & Ortmann, Gerald F. & Ferrer, Stuart R.D., 2007. "Perceptions of key business and financial risk by large-scale sugarcane farmers in KwaZulu-Natal in a dynamic socio-political environment," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(3), pages 1-20, September.
    7. Klomp, Jeroen & Hoogezand, Barry, 2018. "Natural disasters and agricultural protection: A panel data analysis," World Development, Elsevier, vol. 104(C), pages 404-417.
    8. Jay Ram Lamichhane, 2021. "Rising risks of late-spring frosts in a changing climate," Nature Climate Change, Nature, vol. 11(7), pages 554-555, July.
    9. Jia Lin & Milton Boyd & Jeffrey Pai & Lysa Porth & Qiao Zhang & Ke Wang, 2015. "Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(1), pages 103-113, May.
    10. Jia Lin & Milton Boyd & Jeffrey Pai & Lysa Porth & Qiao Zhang & Ke Wang, 2015. "Factors affecting farmers’ willingness to purchase weather index insurance in the Hainan Province of China," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 75(1), pages 103-113, May.
    11. Lampe, Immanuel & Würtenberger, Daniel, 2020. "Loss aversion and the demand for index insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 678-693.
    12. Lin, Boqiang & Wang, You, 2024. "How does natural disasters affect China agricultural economic growth?," Energy, Elsevier, vol. 296(C).
    13. Sun, Ji-Le & Tao, Ran & Wang, Jiao & Wang, Yi-Fei & Li, Jia-Yi, 2024. "Do farmers always choose agricultural insurance against climate change risks?," Economic Analysis and Policy, Elsevier, vol. 81(C), pages 617-628.
    14. Hansen, James & Hellin, Jon & Rosenstock, Todd & Fisher, Eleanor & Cairns, Jill & Stirling, Clare & Lamanna, Christine & van Etten, Jacob & Rose, Alison & Campbell, Bruce, 2019. "Climate risk management and rural poverty reduction," Agricultural Systems, Elsevier, vol. 172(C), pages 28-46.
    Full references (including those not matched with items on IDEAS)

    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. Amare Wodaju & Zerihun Nigussie & Asresu Yitayew & Bosena Tegegne & Atalel Wubalem & Steffen Abele, 2025. "Factors influencing farmers’ willingness to pay for weather-indexed crop insurance policies in rural Ethiopia," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(4), pages 8951-8976, April.
    2. Nordmeyer, Eike Florenz & Danne, Michael & Musshoff, Oliver, 2023. "Can satellite-retrieved data increase farmers' willingness to insure against drought? – Insights from Germany," Agricultural Systems, Elsevier, vol. 211(C).
    3. Yessi Rahmawati & Andiga Kusuma Nur Ichsan & Annisaa Rizky Dwi Brintanti & Iqram Ramadhan Jamil, 2023. "Geo-spatial analysis: the impact of agriculture productivity, drought, and irrigation on poverty in East Java, Indonesia," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-20, December.
    4. Dilshad Ahmad & Muhammad Afzal & Abdur Rauf, 2019. "Analysis of wheat farmers’ risk perceptions and attitudes: evidence from Punjab, Pakistan," 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. 95(3), pages 845-861, February.
    5. Shahzad, Muhammad Faisal & Abdulai, Awudu, 2020. "Adaptation to extreme weather conditions and farm performance in rural Pakistan," Agricultural Systems, Elsevier, vol. 180(C).
    6. Nartey Menzo, Benjamin Prince & Mogre, Diana & Asuamah Yeboah, Samuel, 2024. "Beyond Income: The Complexities of Credit Risk in Developing Countries," MPRA Paper 122364, University Library of Munich, Germany, revised 20 Sep 2024.
    7. Martey, Edward & Etwire, Prince Maxwell & Abdoulaye, Tahirou, 2020. "Welfare impacts of climate-smart agriculture in Ghana: Does row planting and drought-tolerant maize varieties matter?," Land Use Policy, Elsevier, vol. 95(C).
    8. Juanjuan Han & Chaowei Tan & Jingyi Ru & Jian Song & Dafeng Hui & Shiqiang Wan, 2025. "Coinciding spring and autumn frosts have a limited impact on carbon fluxes in a grassland ecosystem," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    9. Wondimagegn Tesfaye & Garrick Blalock & Nyasha Tirivayi, 2021. "Climate‐Smart Innovations and Rural Poverty in Ethiopia: Exploring Impacts and Pathways," American Journal of Agricultural Economics, John Wiley & Sons, vol. 103(3), pages 878-899, May.
    10. Olivia FitzGerald & Catherine Matilda Collins & Clive Potter, 2021. "Woodland Expansion in Upland National Parks: An Analysis of Stakeholder Views and Understanding in the Dartmoor National Park, UK," Land, MDPI, vol. 10(3), pages 1-18, March.
    11. Pierre Chiaverina & Sophie Drogué & Florence Jacquet & Larry Lev & Robert King, 2023. "Does short food supply chain participation improve farm economic performance? A meta‐analysis," Agricultural Economics, International Association of Agricultural Economists, vol. 54(3), pages 400-413, May.
    12. Collins C. Okolie & Gideon Danso-Abbeam & Okechukwu Groupson-Paul & Abiodun A. Ogundeji, 2022. "Climate-Smart Agriculture Amidst Climate Change to Enhance Agricultural Production: A Bibliometric Analysis," Land, MDPI, vol. 12(1), pages 1-23, December.
    13. Kostov, Philip & Davidova, Sophia & Gjokaj, Ekrem, 2021. "Does Policy Support Really Help Farmers’ Incomes: The Case of Kosovo," 2021 Conference, August 17-31, 2021, Virtual 315278, International Association of Agricultural Economists.
    14. Thomas Slijper & Yann de Mey & P Marijn Poortvliet & Miranda P M Meuwissen, 2022. "Quantifying the resilience of European farms using FADN," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 49(1), pages 121-150.
    15. Pomi Shahbaz & Azhar Abbas & Babar Aziz & Bader Alhafi Alotaibi & Abou Traore, 2022. "Nexus between Climate-Smart Livestock Production Practices and Farmers’ Nutritional Security in Pakistan: Exploring Level, Linkages, and Determinants," IJERPH, MDPI, vol. 19(9), pages 1-22, April.
    16. Yufeng Ren & Zhemin Li & Yuting Wang & Tianyu Zhang, 2020. "Development and Prospect of Food Security Cooperation in the BRICS Countries," Sustainability, MDPI, vol. 12(5), pages 1-14, March.
    17. Robert Finger & Viviana Garcia & Chloe McCallum & Jens Rommel, 2024. "A note on European farmers' preferences under cumulative prospect theory," Journal of Agricultural Economics, Wiley Blackwell, vol. 75(1), pages 465-472, February.
    18. Wang, Hongyu & Ma, Rongrong & Wang, Juan & Zhang, Huizhong & Zhou, Wei, 2025. "Conserving cropland resilience space in alpine agro-pastoral ecotones: A quantitative study of Qinghai Province," Agricultural Systems, Elsevier, vol. 223(C).
    19. Visser, Martine & le Roux, Leonard & Mulwa, Chalmers K. & Tibesigwa, Byela & Bezabih, Mintewab, 2024. "Adaptive investment with land tenure and weather risk: Behavioral evidence from Tanzania," Journal of Economic Behavior & Organization, Elsevier, vol. 217(C), pages 398-434.
    20. Mar√≠a Camila S√°enz Pinz√≥n, 2024. "Instrumentos financieros y bienestar de los hogares rurales colombianos ante choques clim√°ticos," Documentos CEDE 21191, Universidad de los Andes, Facultad de Economía, CEDE.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:nathaz:v:121:y:2025:i:13:d:10.1007_s11069-025-07414-w. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.