IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v137y2024ics0264837723004568.html
   My bibliography  Save this article

Farmers’ intention to adapt to soil salinity expansion in Fimela, Sine-Saloum area in Senegal: A structural equation modelling approach

Author

Listed:
  • Thiam, Habibatou I.
  • Owusu, Victor
  • Villamor, Grace B.
  • Schuler, Johannes
  • Hathie, Ibrahima

Abstract

Improving farmers’ adaptation behaviour against specific climate change threats has been a global concern. The extant literature on farmers’ adaptation to soil salinity threat has mainly focused on socioeconomic factors, with less emphasis on socio-psychological factors. This study analyses the socio-psychological factors that explain farmers’ intention to adapt to soil salinity using the Protection Motivation Theory (PMT), structural equation modelling approach and a primary data collected on 288 farm households in Fimela district in Senegal. The results indicated that 74.8% of the farmers used organic and chemical fertilizers, and 19.8% used afforestation as climate change adaptation strategies against soil salinity threats. The results further revealed that threat and coping appraisals and subjective norms were the main socio-psychological factors that influenced farmers’ intention to adapt to soil salinity threats. Contrary to our expectation, maladaptive coping had no relationship with farmers’ intention to adapt against soil salinity threats in Fimela. This study has highlighted the importance of Protection Motivation Theory as a robust conceptual framework for explaining the socio-psychological adaptive behaviour of smallholder farmers against soil salinity expansion due to climate change.

Suggested Citation

  • Thiam, Habibatou I. & Owusu, Victor & Villamor, Grace B. & Schuler, Johannes & Hathie, Ibrahima, 2024. "Farmers’ intention to adapt to soil salinity expansion in Fimela, Sine-Saloum area in Senegal: A structural equation modelling approach," Land Use Policy, Elsevier, vol. 137(C).
    • Handle: RePEc:eee:lauspo:v:137:y:2024:i:c:s0264837723004568
    DOI: 10.1016/j.landusepol.2023.106990
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837723004568
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2023.106990?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. Xiaolong Feng & Mingyue Liu & Xuexi Huo & Wanglin Ma, 2017. "What Motivates Farmers’ Adaptation to Climate Change? The Case of Apple Farmers of Shaanxi in China," Sustainability, MDPI, vol. 9(4), pages 1-15, March.
    2. Aboubacar Diallo & Emmanuel Donkor & Victor Owusu, 2020. "Climate change adaptation strategies, productivity and sustainable food security in southern Mali," Climatic Change, Springer, vol. 159(3), pages 309-327, April.
    3. Ling, Mathew & Kothe, Emily J. & Mullan, Barbara A., 2019. "Predicting intention to receive a seasonal influenza vaccination using Protection Motivation Theory," Social Science & Medicine, Elsevier, vol. 233(C), pages 87-92.
    4. Faye, Amy & Dièye, Mohamadou & Diakhaté, Pape Bilal & Bèye, Assane & Sall, Moussa & Diop, Mbaye, 2021. "Senegal - Land, climate, energy, agriculture and development: A study in the Sudano-Sahel Initiative for Regional Development, Jobs, and Food Security," Working Papers 308808, University of Bonn, Center for Development Research (ZEF).
    5. Mohamed Esham & Chris Garforth, 2013. "Agricultural adaptation to climate change: insights from a farming community in Sri Lanka," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 18(5), pages 535-549, June.
    6. Amirhossein Hassani & Adisa Azapagic & Nima Shokri, 2021. "Global predictions of primary soil salinization under changing climate in the 21st century," Nature Communications, Nature, vol. 12(1), pages 1-17, December.
    7. Thiam, Sophie & Villamor, Grace B. & Kyei-Baffour, Nicholas & Matty, François, 2019. "Soil salinity assessment and coping strategies in the coastal agricultural landscape in Djilor district, Senegal," Land Use Policy, Elsevier, vol. 88(C).
    8. Goldberger, Arthur S, 1972. "Structural Equation Methods in the Social Sciences," Econometrica, Econometric Society, vol. 40(6), pages 979-1001, November.
    9. Grace B. Villamor & Andrew Dunningham & Philip Stahlmann-Brown & Peter W. Clinton, 2022. "Improving the Representation of Climate Change Adaptation Behaviour in New Zealand’s Forest Growing Sector," Land, MDPI, vol. 11(3), pages 1-18, March.
    10. Hoa Dang & Elton Li & Ian Nuberg & Johan Bruwer, 2014. "Farmers’ assessments of private adaptive measures to climate change and influential factors: a study in the Mekong Delta, Vietnam," 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. 71(1), pages 385-401, March.
    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. Ghanian, Mansour & M. Ghoochani, Omid & Dehghanpour, Mojtaba & Taqipour, Milad & Taheri, Fatemeh & Cotton, Matthew, 2020. "Understanding farmers’ climate adaptation intention in Iran: A protection-motivation extended model," Land Use Policy, Elsevier, vol. 94(C).
    2. Nanda Kaji Budhathoki & Douglas Paton & Jonatan A. Lassa & Gopal Datt Bhatta & Kerstin K. Zander, 2020. "Heat, cold, and floods: exploring farmers’ motivations to adapt to extreme weather events in the Terai region of Nepal," 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. 103(3), pages 3213-3237, September.
    3. Grace B. Villamor & Steve J. Wakelin & Andrew Dunningham & Peter W. Clinton, 2023. "Climate change adaptation behaviour of forest growers in New Zealand: an application of protection motivation theory," Climatic Change, Springer, vol. 176(2), pages 1-25, February.
    4. Zahra Fozouni Ardekani & Seyed Mohammad Javad Sobhani & Marcelo Werneck Barbosa & Ehsan Amiri-Ardekani & Samaneh Dehghani & Najmeh Sasani & Hans De Steur, 2024. "Determinants of household food waste behavior during the COVID-19 pandemic in Iran: an integrated model," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(10), pages 26205-26235, October.
    5. Mao, Lu, 2022. "Identification of the outcome distribution and sensitivity analysis under weak confounder–instrument interaction," Statistics & Probability Letters, Elsevier, vol. 189(C).
    6. Dang, Hoa Le & Pham, Thuyen Thi & Pham, Nhung Thi Hong & Nam, Pham Khanh, 2022. "Gender-Differentiated Determinants of Rice Farmers' Choice of Strategies to Adapt to Salinity Intrusion in the Mekong Delta, Vietnam," EfD Discussion Paper 22-9, Environment for Development, University of Gothenburg.
    7. Farooq, Ali & Laato, Samuli & Islam, A.K.M. Najmul & Isoaho, Jouni, 2021. "Understanding the impact of information sources on COVID-19 related preventive measures in Finland," Technology in Society, Elsevier, vol. 65(C).
    8. Thu-Huong Nguyen & Oz Sahin & Michael Howes, 2021. "Climate Change Adaptation Influences and Barriers Impacting the Asian Agricultural Industry," Sustainability, MDPI, vol. 13(13), pages 1-17, June.
    9. Magnusson, Leandro M. & Tarverdi, Yashar, 2020. "Measuring governance: Why do errors matter?," World Development, Elsevier, vol. 136(C).
    10. Ni, Lei & Chen, Yu-wang & de Brujin, Oscar, 2021. "Towards understanding socially influenced vaccination decision making: An integrated model of multiple criteria belief modelling and social network analysis," European Journal of Operational Research, Elsevier, vol. 293(1), pages 276-289.
    11. Talal Daghriri & Michael Proctor & Sarah Matthews, 2022. "Evolution of Select Epidemiological Modeling and the Rise of Population Sentiment Analysis: A Literature Review and COVID-19 Sentiment Illustration," IJERPH, MDPI, vol. 19(6), pages 1-20, March.
    12. Baffour-Kyei, Vasco & Mensah, Amos & Owusu, Victor & Horlu, Godwin S.A.K., 2021. "Artisanal small-scale mining and livelihood assets in rural southern Ghana," Resources Policy, Elsevier, vol. 71(C).
    13. Alejandro del Pozo & Nidia Brunel-Saldias & Alejandra Engler & Samuel Ortega-Farias & Cesar Acevedo-Opazo & Gustavo A. Lobos & Roberto Jara-Rojas & Marco A. Molina-Montenegro, 2019. "Climate Change Impacts and Adaptation Strategies of Agriculture in Mediterranean-Climate Regions (MCRs)," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    14. Andrew K. Rose & Mark M. Spiegel, 2010. "Cross‐Country Causes And Consequences Of The 2008 Crisis: International Linkages And American Exposure," Pacific Economic Review, Wiley Blackwell, vol. 15(3), pages 340-363, August.
    15. Jorgensen, Bradley S. & Wilson, Mathew A. & Heberlein, Thomas A., 2001. "Fairness in the contingent valuation of environmental public goods: attitude toward paying for environmental improvements at two levels of scope," Ecological Economics, Elsevier, vol. 36(1), pages 133-148, January.
    16. Jiang, Xiaomo & Mahadevan, Sankaran, 2009. "Bayesian structural equation modeling method for hierarchical model validation," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 796-809.
    17. Joshua D. Angrist & Guido W. Imbens & D.B. Rubin, 1993. "Identification of Causal Effects Using Instrumental Variables," NBER Technical Working Papers 0136, National Bureau of Economic Research, Inc.
    18. Connor, Melanie & de Guia, Annalyn H. & Quilloy, Reianne & Van Nguyen, Hung & Gummert, Martin & Sander, Bjoern Ole, 2020. "When climate change is not psychologically distant – Factors influencing the acceptance of sustainable farming practices in the Mekong river Delta of Vietnam," World Development Perspectives, Elsevier, vol. 18(C).
    19. Sudarshan Chalise & Dr Athula Naranpanawa, 2016. "Climate change adaptation in agriculture: A general equilibrium analysis of land re-allocation in Nepal," EcoMod2016 9272, EcoMod.
    20. Bouchouicha, Ranoua & L’Haridon, Olivier & Vieider, Ferdinand M., 2024. "Law and economic behaviour," Journal of Comparative Economics, Elsevier, vol. 52(1), pages 253-270.

    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:eee:lauspo:v:137:y:2024:i:c:s0264837723004568. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.