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Autor
Tshikororo Mpho (University of Venda, South Africa)
Tytuł
Influence of Climate Change Knowledge on Selection of Indigenous Adaptive Strategies among Cash Crop Farmers
Źródło
Journal of Agribusiness and Rural Development, 2022, z. 3 (65), s. 271-279, rys., tab., bibliogr. 32 poz.
Słowa kluczowe
Zmiany klimatyczne, Rolnictwo, Bezpieczeństwo żywnościowe, Produkcja roślinna
Climate change, Agriculture, Food security, Crop production
Uwagi
summ.
Abstrakt
Climate change continues to threaten humanity's livelihoods, particularly those dependent on agriculture. Gradual changes in climate pose a significant threat to food security and sustainable agricultural productivity around the globe. This paper sought to investigate the influence of climate change knowledge on the selection of indigenous climate change adaptive strategies. The study was conducted in Vhembe district of Limpopo province, South Africa, in 2021. Structured questionnaires were administered to 300 emerging cash crop farmers during face-to-face interviews. Descriptive statistics were used to gain insight into the farmers' knowledge of climate change. A multinomial logistic model was used to determine the influence of climate change knowledge on the selection of indigenous adaptation strategies. The study discovered that most farmers were aware of climate change and subsequently preferred crop diversification and substitution of crops as their ideal adaptation strategies. This study recommends that adaptation to climate change should be a collaborative effort among the farming community.(original abstract)
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Bibliografia
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  1. Abid, M., Scheffran, J., Schneider, U.A., Ashfaq, M., (2015). Farmers' perceptions of and adaptation strategies to climate change and their determinants: the case of Punjab province, Pakistan. Earth Syst. Dyn., 6(1), 225-243. https://doi.org/10.5194/esd-6-225-2015
  2. Acevedo, M., Pixley, K., Zinyengere, N., Meng, S., Tufan, H., Cichy, K., Bizikova, L., Isaacs, K., Ghezzi-Kopel, K., Porciello, J. (2020). A scoping review of adoption of climate-resilient crops by small-scale producers in low-and middle-income countries. Nat. Plant., 6(10), 1231-1241. https://doi.org/10.1038/s41477-020-00783-z
  3. Ali, A., Erenstein, O. (2017). Assessing farmer use of climate change adaptation practices and impacts on food security and poverty in Pakistan. Clim. Risk Manag., 16, 183-194. https://doi.org/10.1016/j.crm.2016.12.001
  4. Asrat, P., Simane, B. (2018). Farmers' perception of climate change and adaptation strategies in the Dabus watershed, North-West Ethiopia. Ecol. Proces., 7(1), 7. https://doi. org/10.1186/s13717-018-0118-8
  5. Below, T.B., Schmid, J.C., Sieber, S. (2015). Farmers' knowledge and perception of climatic risks and options for climate change adaptation: a case study from two Tanzanian villages. Reg. Env. Change, 15(7), 1169-1180. https://doi.org/10.1007/s10113-014-0620-1
  6. Bless, C., Smith, H.C. (2000). Fundamentals of Social Research Methods: An African Experience (3rd ed.). Juta, Cape Town.
  7. Comoé, H., Siegrist, M. (2015). Relevant drivers of farmers' decision behaviour regarding their adaptation to climate change: a case study of two regions in Côte d'Ivoire. Mitig. Adapt. Strat. Glob. Change, 20(2), 179-199. https:// doi.org/10.1007/s11027-013-9486-7
  8. Cui, X. (2020). Climate change and adaptation in agriculture: Evidence from US cropping patterns. J. Env. Econ. Manag., 101, 102306. https://doi.org/10.1016/j.jeem.2020.102306
  9. Das, U., Ghosh, S. (2020). Factors driving farmers' knowledge on climate change in a climatically vulnerable state of India. Nat. Hazard., 102(3), 1419-1434. https://doi. org/10.1007/s11069-020-03973-2
  10. Diallo, A., Donkor, E., Owusu, V. (2020). Climate change adaptation strategies, productivity and sustainable food security in southern Mali. Clim. Change, 159(3), 309-327. https://doi.org/10.1007/s10584-020-02684-8
  11. Friis-Hansen, E., Bashaasha, B., Aben, C. (2013). Decentralization and implementation of climate change policy in Uganda. DIIS Working Paper No. 27.
  12. Hassan, R., Nhemachena, C. (2008). Determinants of African farmers' strategies for adapting to climate change: Multinomial choice analysis. Afr. J. Agric. Res. Econ., 2(1).
  13. IFAD (2010). Livestock and climate change. IFAD publishers, Rome.
  14. IPCC (2011). Managing the risks of extreme events and disasters to advance climate change adaptation: A special report on working group I and working group II of the intergovernmental panel on climate change.
  15. IPCC (2007). Impacts, adaptations and vulnerability. Fourth Assessment Report. Cambridge University Press, Cambridge, UK.
  16. Jha, C.K., Gupta, V. (2016). Climate change adaptation in Indian agriculture assessing farmers' perception and adaptive choices. In: W. Leal Filho, H. Musa, G. Cavan, P. O'Hare, J. Seixas (Eds.), Climate change adaptation, resilience and hazards. Climate change management. Springer, Cham. https://doi.org/10.1007/978-3-319-39880-8_17
  17. LTA (Limpopo Travel Agency) (2014). Retrieved June 4th 2022 from: http://www.golimpopo.com
  18. Mehar, M., Mittal, S., Prasad, N. (2016). Farmers coping strategies for climate shock: Is it differentiated by gender? J. Rural Stud., 44, 123-131. https://doi.org/10.1016/j. jrurstud.2016.01.001
  19. Mpandeli, S., Nesamvuni, E., Maponya, P. (2015). Adapting to the impacts of drought by smallholder farmers in Sekhukhune district in Limpopo province, South Africa. J. Agric. Sci., 7(2), 115. https://doi.org/10.5539/jas.v7n2p115
  20. Mulinde, C., Majaliwa, J.G.M., Twinomuhangi, R., Mfitumukiza, D., Komutunga, E., Ampaire, E., Asiimwe, J., Van Asten, P., Jassogne, L. (2019). Perceived climate risks and adaptation drivers in diverse coffee landscapes of Uganda. NJAS-Wageningen. J. Life Sci., 88, 31-44. https://doi.org/10.1016/j.njas.2018.12.002
  21. Pelham, B. (2009). Awareness, opinions about global warming vary worldwide. From publication of Gallup word, 1-2.
  22. Piedra-Bonilla, E.B., da Cunha, D.A., Braga, M.J. (2020). Climate variability and crop diversification in Brazil: An ordered probit analysis. J. Clean. Prod., 256, 120252. https:// doi.org/10.1016/j.jclepro.2020.120252
  23. Pundo, M.O., Fraser, G.C. (2006). Multinomial logit analysis of household cooking fuel choice in rural Kenya: The case of Kisumu district. Agrekon, 45(1), 24-37.
  24. Sarkar, S., Padaria, R.N. (2016). Farmers' awareness and risk perception about climate change in coastal ecosystem of West Bengal. Indian Res. J. Exten. Edu., 10(2), 32-38.
  25. Shisanya, S., Mafongoya, P. (2016). Adaptation to climate change and the impacts on household food security among rural farmers in uMzinyathi District of Kwazulu- Natal, South Africa. Food Sec., 8, 597-608. https://doi. org/10.1007/s12571-016-0569-7
  26. Shukla, R., Agarwal, A., Sachdeva, K., Kurths, J., Joshi, P.K. (2019). Climate change perception: an analysis of climate change and risk perceptions among farmer types of Indian Western Himalayas. Clim. Change, 152(1), 103-119. https:// doi.org/10.1007/s10584-018-2314-z
  27. Starkweather, J., Moske, A.K. (2011). Multinomial logistic regression Lecture notes.
  28. STATSSA (Statistics South Africa). (2016). First quarter publication. Retrieved Jun 4th 2022 from: https://www.statssa.gov.za
  29. Tambo, J.A., Tahirou, A. (2013). Smallholder farmers' perceptions of and adaptations to climate change in the Nigerian savanna. Env. Change, 13, 375-388. https://doi. org/10.1007/s10113-012-0351-0
  30. Wooldridge, J.M. (2002). Econometric analysis of cross section and panel data. MIT press: Cambridge, MA.
  31. Wooldridge, J.M. (2010). Econometric analysis of cross section and panel data. MIT press.
  32. Zoellick, R.B. (2009). A Climate Smart Future. The Nation Newspapers. Vintage Press Limited, Lagos, Nigeria.
Cytowane przez
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ISSN
1899-5241
Język
eng
URI / DOI
http://dx.doi.org/10.17306/J.JARD.2022.01624
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