Arable crop farmers’ adaptation to climate change in Abuja, Federal Capital Territory, Nigeria (original) (raw)

Abstract

The study examined the socioeconomic factors affecting crop farmers" adaptation to climate change in Abuja, F.C.T, Nigeria by describing the socioeconomic characteristics of farmers in the study area, determining their perception of the climate change phenomenon, identifying the climate change adaptation measures adopted as well as examining the socioeconomic factors influencing the choice of the adaptation measure used by the farmers. The study used primary data elicited from the farmers with the use of questionnaire. A total of one hundred and twenty crop farmers were selected randomly from the six area councils namely, Abaji, Abuja municipal, Bwari, Gwagwalada, Kuje and Kwali in the Federal Capital Territory (F.C.T.). Proportionate and random sampling techniques were used to select the respondents to ensure representativeness and to reduce bias. Data collected were analyzed using descriptive statistics and multinomial logit regression analysis. Results indicated that the average farm size was 1.5 ha, an indication that the study covered small scale family managed farm units. The average years of schooling, age of the farmers and years of experience were 7.1, 42 and 17 respectively, suggesting that the farmers have some basic literacy, were relatively youthful and energetic and have some experience in arable crop production. Over 90% of the respondents perceived long term change in temperature and rainfall pattern in the study area. The common adaptation options for climate change used by farmers were portfolio diversification (33.30%) while 20.83% of the farmers surveyed did not use any adaptation measure to mitigate climate change. Results of the multinomial logit model revealed that farmers" socioeconomic characteristics such as age, extension education and years of formal education significantly affected the probability of uptake of adaptation measures to counteract the negative effects of climate change. The study recommends increased formal and informal institutional support such as farm advisory services and education in promoting the use of adaptation options to reduce the negative effects of climate change. This is with a view to increasing farmers" ability to cope and the evolution of appropriate risk reduction production strategies in response to perceived climate change to improve their well-being.

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References (29)

  1. Adams RM, Gayer JD, McCall BA, Dude DJ (1998). The implications of global change for western Agriculture. West J. Agric. Econ. 13:348-356.
  2. Adger WN, Huq S, Brown K, Conway D, Hulme M (2003). Adaptation to Climate Change in the Developing World. Progr. Dev. Stud. p. 3.
  3. Basant R (1997). "Technology Strategies of Large Enterprises in Indian Industry: Some Explorations" World Dev. 25(10):1683-1700.
  4. Baethgen WE, Meinke H, Gimene A (2003). Adaptation of agricultural production systems to climate variability and climate change: Lessons learned and proposed research approach Insights and Tools for Adaptation: Learning from Climate Variability, 18-20 November, 2003, Washington, DC. http://www.climateadaptation.net/papers html. Accessed 20 March 2007.
  5. Benhin JKA (2006). Climate change and South African agriculture: Impacts and adaptation options. CEEPA Discussion Paper No. 21. Centre for Environmental Economics and. Policy in Africa, University of Pretoria.
  6. Building Nigeria's Response to Climate Change (BNRCC), (2008). Annual Workshop of Nigerian Environmental Study Team (NEST): The Recent Global and Local Action on Climate Change, held at Hotel Millennium, Abuja, Nigeria; 8-9th October.
  7. Budry B, Curtis MJ, Dennis AS (2006). The adoption and management of soil conservation practices in Haiti: the case of rock walls. Agric. Econ. Rev. 7(2):29-39.
  8. Centre for Environmental Economics and Policy in Africa (CEEPA) (2006). Climate Change and African Agriculture Policy Note No. 10, University of Pretoria, South Africa.
  9. Deressa T (2007). Measuring the Economic Impact of Climate Change on Ethiopian Agriculture: Ricardian Approach. World Bank Policy Research Paper No. 4342. Washington D.C.: World Bank.
  10. Deressa T, Hassan RM, Alemu T, Yesuf M, Ringler C (2008). Analyzing the Determinants of Farmers" Choice of Adaptation Methods and Perceptions of Climate Change in the Nile Basin of Ethiopia. International Food Policy Research Institute (IFPRI) Discussion Paper No. 00798. Environment and Production Technology Division, IFPRI, Washington D.C. Gbetibouo GA (2009). Understanding Farmers" Perception and Adaptations to Climate Change and Variability: The Case of the Limpopo Basin, South Africa. International Food Policy Research Institute (IFPRI) Discussion Paper 00849, February, 2009. Environment and Production Technology Division, IFPRI
  11. Greene WH (2003). Econometric Analysis. 5th ed. Prentice Hall, Upper Saddle River, New Jersey: Prentice-Hall.
  12. Intergovernmental Panel on Climate Change (IPCC) (2001). Climate Change: Impacts, Vulnerability and Adaptation. Contribution of Working Group III to the Third Assessment Report on the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.
  13. Kandlinkar M, Risbey J (2000). Agricultural impacts of climate change: If adaptation is the answer, what is the question? Climatic Change 45:529-539.
  14. Kurukulasuriya P, Mendelsohn R (2006a). A Ricardian analysis of the impact of Climate change on African cropland. CEEPA Discussion Paper No. 8. Centre for Environmental Economics and Policy in Africa, University of Pretoria.
  15. Maddison D (2006). The perception of Adaptation to climate change in Africa. CEEPA Discussion Paper No. 10. Centre for Environmental Economics and Policy in Africa, University of Pretoria.
  16. Nhemachena C, Hassan R (2007). Micro-level Analysis of Farmers" Adaptation to Climate Change in Southern Africa. International Food Policy Research Institute (IFPRI) Discussion Paper No. 00714. Environment and Production Technology Division, IFPRI, Washington, D.C.
  17. Nhemachena C, Hassan R (2008). Determinants of African farmers" strategies for adapting to climate change: Multinomial choice analysis. Centre for Environmental Economics and Policy in Africa (CEEPA), University of Pretoria. Afr. J. Resour. Econ. 2(1):83-104.
  18. Norris E, Batie S (1987). Virginia Farmers" Soil Conservation Decisions: An Application of Tobit Analysis. Southern J. Agric. Econ. 19(1):8-12.
  19. Nwajiuba CU, Onyeneke R, Munonye J (2008). Climate Change: Perception and Adaptation by Poultry Farmers in Imo State. In: Nwajiuba C.(ed), Climate Change and Adaptation in Nigeria. Farming and Rural Systems Economics by Doppler W. and Bauer S., Volume 95, Margraf Publishers, Hohenheim, Germany.
  20. Onyeneke RU, Madukwe DK (2010). Adaptation Measures by Crop Farmers in the Southeast Rainforest Zone of Nigeria to Climate Change, Sci. World J. 5(1):20.
  21. Pryanishnikov I, Katarina Z (2003). Multinomial logit models for Australian labour market. Austr. J. Stat. 4:267-282.
  22. Rahji MAY, Fakayode SB (2009) A Multinomial Logit Analysis of Agricultural Credit Rationing by Commercial Banks in Nigeria. Int. Res. J. Finan. Econ. 4(5):23-28.
  23. Royal Society (2005). Impacts of climate change on Crops worse than previously thought HTTP://ROYAL society.org/news.asp? Accessed September 2010.
  24. Seo N, Mendelsohn R (2006a). Climate change impacts on animal husbandry in Africa: A Ricardian analysis. CEEPA Discussion Paper No. 9. Centre for Environmental Economics and Policy in Africa, University of Pretoria.
  25. Spore Magazine (2008). Climate Change, Spore Special Issue-August, Published by Technical Centre for Agricultural and Rural Cooperation pp. 9-13.
  26. Tenge J, Graaff D, Hella JP (2004). Social and Economic Factors affecting the Adoption of Oil and Water Conservation in West Usambara Highlands, Tanzania. Land Degradat. Dev. 15(2):14.
  27. Wozniak GD (1984). The adoption of interrelated innovation: A human capital approach. Rev. Econ. Stat. 66:70-79.
  28. Yirga C, Shapiro BI, Demeke M (2007). Factors influencing adoption of new wheat technologies in Wolemera and Addis Alem areas of Ethiopia. Ethiop. J. Agric. Econ. 1(1):63-84.
  29. Zepeda L (1990). "Adoption of Capital versus Management Intensive Technologies". Can. J. Agric. Econ. 38:457-469. http://www.sciencewebpublishing.net/jacr