IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v37y2023i15d10.1007_s11269-023-03651-5.html
   My bibliography  Save this article

Determinants of Farmers’ Decision-Making Processes under Socio-Political Stressors exacerbated by Water Scarcity and Climate Change Adaptation

Author

Listed:
  • G. Harik

    (American University of Beirut)

  • R. Zurayk

    (American University of Beirut)

  • I. Alameddine

    (American University of Beirut)

  • M. Fadel

    (American University of Beirut
    Khalifa University)

Abstract

The sustainability of agriculture is increasingly challenged particularly in the context of socio-political stressors exacerbated by water scarcity and climate change, where it can lead to an unbalance in food security and landscape conservation if not well protected. The reversibility of these outcomes relies on the understanding of farmers’ decision-making processes and the drivers lying behind their way of thinking. In this study, we examine farmers’ decision-making processes and logic by developing quantitative and qualitative (probabilistic and mental) models that capture the main drivers behind their stated decisions when faced with the impacts of climate change and water scarcity. We then conduct a comparative assessment of future land cover/land-use generated using both models. The results showed that while the models shared several common determinants, they differed in the weight assigned to each. The probabilistic models were able to map mechanistically the ways of the mind, whereas mental processes were more anchored to motives and experiences that shape farmers’ vision of their surroundings. The comparative assessment showed a high similarity between mental and probabilistic models with minor differences pertaining to agricultural and bare lands. The discrepancies tended to be concentrated mostly in parcels where the probabilistic models predicted changing the crop type or quitting without selling. In closure, we argue that the concomitant use of both probabilistic and mental models can provide a more realistic representation of farmers’ decision-making processes and the impact of their decisions on land cover-land use projections when faced with water scarcity in the context of socio-political stressors exacerbated by climate change.

Suggested Citation

  • G. Harik & R. Zurayk & I. Alameddine & M. Fadel, 2023. "Determinants of Farmers’ Decision-Making Processes under Socio-Political Stressors exacerbated by Water Scarcity and Climate Change Adaptation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(15), pages 6199-6218, December.
  • Handle: RePEc:spr:waterr:v:37:y:2023:i:15:d:10.1007_s11269-023-03651-5
    DOI: 10.1007/s11269-023-03651-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11269-023-03651-5
    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/s11269-023-03651-5?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Regina Schoell & Claudia R. Binder, 2009. "System Perspectives of Experts and Farmers Regarding the Role of Livelihood Assets in Risk Perception: Results from the Structured Mental Model Approach," Risk Analysis, John Wiley & Sons, vol. 29(2), pages 205-222, February.
    2. Adato, Michelle & Meinzen-Dick, Ruth Suseela, 2002. "Assessing the impact of agricultural research on poverty using the sustainable livelihoods framework," FCND briefs 128, International Food Policy Research Institute (IFPRI).
    3. Masih Akhbari & Neil Grigg, 2015. "Managing Water Resources Conflicts: Modelling Behavior in a Decision Tool," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5201-5216, November.
    4. Davi, Angelique & Haughton, Dominique & Nasr, Nada & Shah, Gaurav & Skaletsky, Maria & Spack, Ruth, 2005. "A Review of Two Text-Mining Packages: SAS TextMining and WordStat," The American Statistician, American Statistical Association, vol. 59, pages 89-103, February.
    5. Wolfgang Cramer & Joël Guiot & Marianela Fader & Joaquim Garrabou & Jean-Pierre Gattuso & Ana Iglesias & Manfred A. Lange & Piero Lionello & Maria Carmen Llasat & Shlomit Paz & Josep Peñuelas & Maria , 2018. "Climate change and interconnected risks to sustainable development in the Mediterranean," Nature Climate Change, Nature, vol. 8(11), pages 972-980, November.
    6. Linjing Ren & Xiaojun Yang, 2023. "Adoption and shift of water-saving strategies to policy shock: based on social-ecological system analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(10), pages 4015-4037, August.
    7. Wickham, Hadley, 2007. "Reshaping Data with the reshape Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i12).
    8. Kiersch, Benjamin & Tognetti, Sylvia, 2002. "Land-water linkages in rural watersheds: Results from the FAO electronic workshop," Land Use and Water Resources Research, University of Newcastle upon Tyne, Centre for Land Use and Water Resources Research, vol. 2, pages 1-6.
    9. Jeremy D. Foltz, 2004. "Entry, Exit, and Farm Size: Assessing an Experiment in Dairy Price Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(3), pages 594-604.
    10. B. Fosu-Mensah & P. Vlek & D. MacCarthy, 2012. "Farmers’ perception and adaptation to climate change: a case study of Sekyedumase district in Ghana," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 14(4), pages 495-505, August.
    11. Bragg, Lisa, 2004. "Factors Affecting the Decision to Exit Farming: A Maine Dairy Industry Study," SS-AAEA Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 2003, pages 1-19.
    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. Fertő, Imre & Bojnec, Štefan & Iwasaki, Ichiro & Shida, Yoshisada, 2024. "Why do corporate farms survive in Central and Eastern Europe?," Agricultural Systems, Elsevier, vol. 218(C).
    2. Rigoberto A. Lopez & Nataliya Plesha, 2013. "Economic And Sustainability Impacts Of Connecticut’S Public Act 09-229 To Support Dairy Farming," Outreach Reports 17, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    3. Marie Dervillé & Gilles Allaire & Élise Maigné & Éric Cahuzac, 2017. "Internal and contextual drivers of dairy restructuring: evidence from French mountainous areas and post†quota prospects," Agricultural Economics, International Association of Agricultural Economists, vol. 48(1), pages 91-103, January.
    4. Xuan Chen & Dylan Bouchard & Gary Anderson, 2018. "Is the Dairy Relief Program Really Working? Evaluating Maine’s Tier Payment Program Using a Simulation Approach," Sustainability, MDPI, vol. 10(10), pages 1-16, September.
    5. Blazquez-Soriano, Amparo & Ramos-Sandoval, Rosmery, 2022. "Information transfer as a tool to improve the resilience of farmers against the effects of climate change: The case of the Peruvian National Agrarian Innovation System," Agricultural Systems, Elsevier, vol. 200(C).
    6. D. Santillán & L. Garrote & A. Iglesias & V. Sotes, 2020. "Climate change risks and adaptation: new indicators for Mediterranean viticulture," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(5), pages 881-899, May.
    7. Hung‐Chih Hung & Tzu‐Wen Wang, 2011. "Determinants and Mapping of Collective Perceptions of Technological Risk: The Case of the Second Nuclear Power Plant in Taiwan," Risk Analysis, John Wiley & Sons, vol. 31(4), pages 668-683, April.
    8. Federica Alfani & Vasco Molini & Giacomo Pallante & Alessandro PalmaGran, 2024. "Job displacement and reallocation failure. Evidence from climate shocks in Morocco," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 51(1), pages 1-31.
    9. Augustinus, Benno A. & Blum, Moshe & Citterio, Sandra & Gentili, Rodolfo & Helman, David & Nestel, David & Schaffner, Urs & Müller-Schärer, Heinz & Lensky, Itamar M., 2022. "Ground-truthing predictions of a demographic model driven by land surface temperatures with a weed biocontrol cage experiment," Ecological Modelling, Elsevier, vol. 466(C).
    10. David Hidalgo García, 2023. "Evaluation and Analysis of the Effectiveness of the Main Mitigation Measures against Surface Urban Heat Islands in Different Local Climate Zones through Remote Sensing," Sustainability, MDPI, vol. 15(13), pages 1-23, July.
    11. Morán-Ordóñez, Alejandra & Ameztegui, Aitor & De Cáceres, Miquel & de-Miguel, Sergio & Lefèvre, François & Brotons, Lluís & Coll, Lluís, 2020. "Future trade-offs and synergies among ecosystem services in Mediterranean forests under global change scenarios," Ecosystem Services, Elsevier, vol. 45(C).
    12. Thiermann, Insa & Breustedt, Gunnar & Rosenau, Carolin, 2019. "Einfluss der Größe auf die Aufgabe der Tierproduktion – empirische Analyse Milchvieh und Sauen haltender Betriebe in Deutschland," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(3), September.
    13. Cook, Aaron M. & Ricker-Gilbert, Jacob E. & Sesmero, Juan P., 2013. "How do African households adapt to climate change? Evidence from Malawi," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150507, Agricultural and Applied Economics Association.
    14. Heider, Katharina & Quaranta, Emanuele & García Avilés, José María & Rodriguez Lopez, Juan Miguel & Balbo, Andrea L. & Scheffran, Jürgen, 2022. "Reinventing the wheel – The preservation and potential of traditional water wheels in the terraced irrigated landscapes of the Ricote Valley, southeast Spain," Agricultural Water Management, Elsevier, vol. 259(C).
    15. Petrick, Martin & Götz, Linde, 2019. "Herd growth, farm organisation and subsidies in the dairy sector of Russia and Kazakhstan," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 70(3), pages 789-811.
    16. Nyadzi, Emmanuel, 2016. "Climate Variability Since 1970 and Farmers’ Observations in Northern Ghana," Sustainable Agriculture Research, Canadian Center of Science and Education, vol. 5(2).
    17. Radosław PASTUSIAK & Magdalena JASINIAK & Michał SOLIWODA & Joanna STAWSKA, 2017. "What may determine off-farm income? A review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 63(8), pages 380-391.
    18. Aina Maimó-Far & Alexis Tantet & Víctor Homar & Philippe Drobinski, 2020. "Predictable and Unpredictable Climate Variability Impacts on Optimal Renewable Energy Mixes: The Example of Spain," Energies, MDPI, vol. 13(19), pages 1-25, October.
    19. Theodoros Skevas & Ray Massey & Jasper Grashuis, 2022. "Farmer adoption and intensity of use of extreme weather adaptation and mitigation strategies: evidence from a sample of Missouri farmers," Climatic Change, Springer, vol. 174(1), pages 1-23, September.
    20. Alistair Munro, 2020. "Using experimental manipulation of questionnaire design and a Kenyan panel to test for the reliability of reported perceptions of climate change and adaptation," Climatic Change, Springer, vol. 162(3), pages 1081-1105, October.

    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:waterr:v:37:y:2023:i:15:d:10.1007_s11269-023-03651-5. 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.