IDEAS home Printed from https://ideas.repec.org/a/ibn/jasjnl/v13y2024i3p135.html
   My bibliography  Save this article

Influence of Farmers’ Socio-economic Characteristics in Selection of Climate Change Adaptive Strategies

Author

Listed:
  • Mpho Tshikororo
  • Phineas Khazamula Chauke
  • Jethro Zuwarimwe

Abstract

Climate change is a global phenomenon that has been of great concern and its tackle is of outmost importance for food security and poverty alleviation among other things. This paper assessed the decisions informing selection of climate change adaptive strategies in Limpopo Province based on farmers’ socio-economic characteristics. Data was collected from all five districts of Limpopo province namely; Sekhukhune, Waterberg, Mopani, Capricorn and Vhembe. A questionnaire administered in a face to face interviews was used to collect data on various climate change adaptive strategies used by emerging farmers in Limpopo province of South Africa. The most identified strategies identified were crop diversification, substitution of crops, calendar redefinition, changing crop rotation patterns and fertilizer application. Results from the multinomial logistic regression model employed indicated that farmers’ socio-economic characteristics such as gender, age group, formal education, farming experience and household size significantly influenced farmers’ selection of climate change adaptive strategies. As a conclusion, farmers’ socio-economic characteristics are the major influencing factors determining selection of specific adaptive strategies. The study recommended that to enhance adaptive strategy uptake there should be a careful consideration of socio-economic characteristics that suits a need of specific farmers as farmers’ adaptation to climate change varies individually.

Suggested Citation

  • Mpho Tshikororo & Phineas Khazamula Chauke & Jethro Zuwarimwe, 2024. "Influence of Farmers’ Socio-economic Characteristics in Selection of Climate Change Adaptive Strategies," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 13(3), pages 135-135, April.
  • Handle: RePEc:ibn:jasjnl:v:13:y:2024:i:3:p:135
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jas/article/download/0/0/44727/47263
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jas/article/view/0/44727
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hassan, Rashid M. & Nhemachena, Charles, 2008. "Determinants of African farmers’ strategies for adapting to climate change: Multinomial choice analysis," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 2(1), pages 1-22, March.
    2. Pundo, Moses O. & Fraser, Gavin C.G., 2006. "Multinominal logit analysis of household cooking fuel choice in rural Kenya: The case of Kisumu district," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(1), pages 1-14, 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. Weiqiang Zhu & Yun Zhang, 2024. "Household Energy Clean Transition Mechanisms under Market Failures: A Government Financing Perspective," Sustainability, MDPI, vol. 16(13), pages 1-29, July.
    2. Giuseppe Maggio & Marina Mastrorillo & Nicholas J. Sitko, 2022. "Adapting to High Temperatures: Effect of Farm Practices and Their Adoption Duration on Total Value of Crop Production in Uganda," American Journal of Agricultural Economics, John Wiley & Sons, vol. 104(1), pages 385-403, January.
    3. Jawid, Asadullah & Khadjavi, Menusch, 2019. "Adaptation to climate change in Afghanistan: Evidence on the impact of external interventions," Economic Analysis and Policy, Elsevier, vol. 64(C), pages 64-82.
    4. van der Kroon, Bianca & Brouwer, Roy & van Beukering, Pieter J.H., 2013. "The energy ladder: Theoretical myth or empirical truth? Results from a meta-analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 20(C), pages 504-513.
    5. Ahmad, Munir & Iqbal, Muhammad & Farooq, Umar, 2015. "Food Security and its Constraining Factors in South Asia: Challenges and Opportunities," MPRA Paper 72868, University Library of Munich, Germany.
    6. Iqbal, Md. Hafiz & Aziz, Ahsan, 2022. "Crop selection as climate change adaptation: A study on Koyra Upazila of Bangladesh," Ecological Economics, Elsevier, vol. 199(C).
    7. Di Falco, Salvatore & Sharma, Sindra, 2018. "Investing in Climate Change Adaptation: Motivations and Green Incentives in the Fiji Islands," Ecological Economics, Elsevier, vol. 154(C), pages 394-408.
    8. Kojo Sarfo Gyamfi & Elena Gaura & James Brusey & Alessandro Bezerra Trindade & Nandor Verba, 2020. "Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection," Energies, MDPI, vol. 13(15), pages 1-21, July.
    9. Amir Tabarzad & Ali Asghar Ghaemi & Shahrokh Zand-parsa, 2016. "Barley Grain Yield and Protein Content Response to Deficit Irrigation and Sowing Dates in Semi-Arid Region," Modern Applied Science, Canadian Center of Science and Education, vol. 10(10), pages 193-193, October.
    10. Idelphonse O. Saliou & Afio Zannou & Augustin K. N. Aoudji & Albert N. Honlonkou, 2020. "Drivers of Mechanization in Cotton Production in Benin, West Africa," Agriculture, MDPI, vol. 10(11), pages 1-13, November.
    11. Kim, Chung-Sil & Jung, Hye-Kyung & Lee, Sang-Ho & Park, Soo-Young & Takei, Atsuo, 2012. "An Analysis on Determinants of Farmers´ Adaptation to Climate Change in Korea," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 35(2), pages 1-20, July.
    12. Assa, Maganga Mulagha & Gebremariam, Gebrelibanos G. & Mapemba, Lawrence D., 2013. "A cross-region study: climate change adaptation in Malawi's agro-based systems," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161304, African Association of Agricultural Economists (AAAE).
    13. Ndambiri, H. K. & Ritho, C. & Mbogoh, Stephen G. & Nyangweso, P.M. & Ng’ang’a, S. I. & Muiruri, E. J. & Kipsat, Mary J. & Kubowon, P. C. & Cherotwo, F. H. & Omboto, P. I., 2012. "Analysis of Farmers’ Perceptions of the Effects of Climate Change in Kenya: The Case of Kyuso District," 2012 Eighth AFMA Congress, November 25-29, 2012, Nairobi, Kenya 159405, African Farm Management Association (AFMA).
    14. Muhammad Usman & Muhammad Wasim & Rao Bahkat Yawar, 2023. "Assessing the Economic Implications of Climate Change on Agriculture in Punjab in Pakistan: Farmers Perception and Satisfaction," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 12(3), pages 348-365.
    15. TRAORE Lamine & Coulibaly Mamadou & Cisse Fatimata & Sissoko Dioukou, 2022. "Strengthening the Resilience of Maize Producers in the Koulikoro Region against the Adverse effects of Climate Change," International Journal of Sciences, Office ijSciences, vol. 11(03), pages 4-19, March.
    16. Timothy R. Silberg & Robert B. Richardson & Maria Claudia Lopez, 2020. "Maize farmer preferences for intercropping systems to reduce Striga in Malawi," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 12(2), pages 269-283, April.
    17. Ojo, T.O. & Baiyegunhi, L.J.S., 2020. "Determinants of climate change adaptation strategies and its impact on the net farm income of rice farmers in south-west Nigeria," Land Use Policy, Elsevier, vol. 95(C).
    18. Jane Kabubo-Mariara & Richard Mulwa, 2019. "Adaptation to climate change and climate variability and its implications for household food security in Kenya," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(6), pages 1289-1304, December.
    19. Muller, Christophe & Yan, Huijie, 2018. "Household fuel use in developing countries: Review of theory and evidence," Energy Economics, Elsevier, vol. 70(C), pages 429-439.
    20. Roesch, Andreas & Zimmermann, Albert & Ferjani, Ali, 2013. "PR - Determining Factors Of Structural Change In Agriculture In Switzerland," 19th Congress, Warsaw, Poland, 2013 345692, International Farm Management Association.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:jasjnl:v:13:y:2024:i:3:p:135. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.