Research Article
BibTex RIS Cite

Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria

Year 2024, , 942 - 953, 20.09.2024
https://doi.org/10.33462/jotaf.1378829

Abstract

In Nigeria, sugarcane is a prominent crop and the primary crop used to produce sugar. However, floods have been a major tragedy that has troubled Nigeria's small-scale farmers. The bulk of rural poor people are these small-scale farmers, and as poverty rates have been rising over time, corrective action is required. This study was therefore carried out to assess the poverty status of sugar cane farming households (affected by flood, and unaffected by flood) in Kwara/Osun State of Nigeria. The study employed two-stage sampling technique to select 120 sugarcane farming households in the study area. Descriptive statistics, the Flood Loss Estimation, Logit Regression and Foster Greer Thorbecke (FGT) are the empirical analytical tools employed to analyze the data collected for the study. The results of the poverty index analysis revealed that 46 percent of the respondents are relatively poor, the poverty depth was 0.16 which implies that 16 percent were below the poverty line and the poverty severity was 0.07 which implies that 7 percent of the respondents were severely poor. Also, it revealed that flood shocks, gender, household size, household income, access to credit and membership to social organization were significant determinants of poverty. The study then came to the conclusion that many coping mechanisms people employ are corrosive because they have detrimental long-term implications on the sustainability of household subsistence. For future risk assessments and flood mitigation, the study advises using a holistic strategy and adept models. The remedies outlined in this paper would help the government, private sector, and sugar cane farmers economically.

Project Number

1358365

References

  • Adebayo, A. F. (1998). An evaluation of public policies for rural development in Nigeria. Africa: Revista do centra de Estudos Africanos, 20(21): 65-73.
  • Adeniyi, E. O. (1973). Downstream impact of the Kainji Dam in Kainji Lake. A Nigerian Man-made Lake Mabogunje, A.L (ed.) NISER, Ibadan Nigeria. Vol. 2.
  • Adenuga A. H., Fadipe A. E. A. and Lawal A., (2014). Analysis of ıncome determinants among rural households in Kwara State, Nigeria. Trakia Journal of Sciences, 4: 400-404.
  • Anonymous (2018). Food and Agriculture Organization of the United Nations (FAO), http://www.fao.org/site, (Accessed Date: 10.10.2018).
  • Anonymous (2019). Sugar Alliance, http://www.Sugaralliance.org. (Accessed Date: 12.01.2019)
  • Aseel, S. A., Madya Rusdi, B. O., Mashitah, B. M. U. (2017). Theories of poverty to the Integrative Theory. A Comparative analysis: According to the situation of Iraq. IOSR Journal Of Humanities And Social Science (IOSR-JHSS) 22(5): 47-50.
  • Babatolu J.S., Akinnubi R.T., Babatolu and Akinnubi (2014). Influence of climate change in Niger River Basin Development Authority Area on Niger Runoff, Journal of Earth Science & Climatic Change, 5(9): 1000230. http://dx.doi.org/10.4172/2157-7617.1000230
  • Chaudhry, I. M., Malik, S. and Ashraf, M. (2006). Rural poverty in Pakistan: Some related concepts, issues and empirical analysis Pakistan. Economic and Social Review, 44(2): 259-276.
  • Ucha, C. (2010). Poverty in Nigeria: Some dimensions and contributing factors, Global Majority E-Journal, 1(1): 46-56.
  • Dutta, D., Herrath, S. and Musiake, K. (2003). A mathematical model for flood loss estimation. Journal of Hydrology, 277(1-2): 24-49.
  • Ehinmowo, O. O., Fatuase, A. I. and Ojo, S. O. (2017). Empirical analysis of poverty status of small scale cassava processors in Nigeria. Journal of Agricultural Faculty of Gaziomanpaşa University, 34(1): 26-32.
  • Etuonovbe, A. K. (2011). The devastating effect of flooding in Nigeria. FIG Working Week (Vol. 201, No. 1). Marrakech, Morocco: Bridging the Gap between Cultures.
  • Gedik, D. S., and Yilmaz, E. (2023). Determination of the factors affecting the level of benefit from young farmer project support in rural development: Tekirdag sample, Türkiye. Journal of Tekirdag Agricultural Faculty, 20(2): 418-429.
  • Guetchine G. (2013). Flood loss estimation model: Recasting flood disaster assessment and mitigation for Haiti, the case of Gonaives. (MSc. Thesis) Southern Illinois University at Carbondale.
  • Igbalajobi, O., Fatuase, A. I. and Ajibefun, I. (2013). Determinants of poverty ıncidence among rural farmers in Ondo State, Nigeria. American Journal of Rural Development, 1(5): 131-137. https://doi.org/10.12691/ajrd-1-5-5
  • McCusker, B., Carr, E. R. (2006). The co-production of livelihoods and land use change: Case studies from South Africa and Ghana. GeoForum, 37: 790-804.
  • Modupe, O. J., Solomon O. B., Adeniyi S. A., Habeeb S. (2023). Multidimensional approach to mitigating flood risks and ımpact: A Case study of rice farming in Nigeria. Journal of Advanced Environmental Research and Technology 1(1): 27-38.
  • National Population Commission (2006). History of Population Census. https://nationalpopulation.gov.ng Olutunmise, A. I. Ajibefun, I. A. (2019). Evaluation of poverty status and time-taken to exit poverty among food crop farmers in Nigeria. Journal of Agricultural Faculty of Gaziosmanpaşa University, 36(2): 97-106.
  • Opondo, D. O. (2013). Erosive coping after the 2011 floods in Kenya. International Journal of Global Warming, 5(4): 452–466.
  • Oyekale, A. S. (2008). Land degradation, soil conservation practices and poverty incidence in south western nigeria. Agricultural Journal, 3(6): 482 -487.
  • Oyekale, T. O. (2012). Fuzzy indicator of sustainable land management and its correlates in Osun State, Nigeria. Journal of Human Ecology,39(3): 175-182.
  • Phlips, T. P., Taylor, D. S., Sanni, L. O. and Akoroda M. O. (2004). A Cassava Industrial Revolution in Nigeria: The Potential of A New Industrial Crop. Rome: FAO (p. 49).
  • Rehman, S., Sahana, M., Hong, H., Sajjad, H. and Ahmed, B. B. (2019). A system review on approaches and methods used for flood vulnerability assessment: Framework for future research. Natural Hazards, 96: 975-998.
  • Sanchez-Martinez, M. and Davis, P. (2014). A review of the economic theories of poverty. National Institute of Economic and Social Research Discussion Paper, No. 435.
  • Shiferaw, B. and Holden, S. (1998). Resource Degradation and adoption of land conservation technologies in the Ethiopian Highlands: A Case study in Andit Tid, North Shewa. Agricultural Economics, 18(3): 233-247.
  • Simsek, O. and Cakmak, B. (2010). Drought analysis for 2007-2008 agricultural year of Turkey. Journal of Tekirdag Agricultural Faculty, 7(3): 99-109.
  • Solihu, H., Bilewu, S. O. (2022). Assessment of anthropogenic activities impacts on the water quality of Asa river: A case study of Amilengbe area, Ilorin, Kwara state, Nigeria. Environmental Challenges, 7: 100473.
  • Wisner, B. (2003) “Disaster risk reduction in megacities: making the most of human and social capital”, A. Kreimer, M. Arnold, A. Carlin (eds), Building safer cities: The future of disaster risk, The World Bank, Washington, DC, 181-96.
  • World Bank Report (2005). The World Bank Annual Report. https://documents.worldbank.org
  • World Bank Report (2008). Agriculture for Development. https://documents.worldbank.org
  • Yaro, J. A. (2004). Theorizing Food Insecurity: building a livelihood framework for researching food insecurity. Norwegian Journal of Geography, 58: 23-37.

Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria

Year 2024, , 942 - 953, 20.09.2024
https://doi.org/10.33462/jotaf.1378829

Abstract

In Nigeria, sugarcane is a prominent crop and the primary crop used to produce sugar. However, floods have been a major tragedy that has troubled Nigeria's small-scale farmers. The bulk of rural poor people are these small-scale farmers, and as poverty rates have been rising over time, corrective action is required. This study was therefore carried out to assess the poverty status of sugar cane farming households (affected by flood, and unaffected by flood) in Kwara/Osun State of Nigeria. The study employed two-stage sampling technique to select 120 sugarcane farming households in the study area. Descriptive statistics, the Flood Loss Estimation, Logit Regression and Foster Greer Thorbecke (FGT) are the empirical analytical tools employed to analyze the data collected for the study. The results of the poverty index analysis revealed that 46 percent of the respondents are relatively poor, the poverty depth was 0.16 which implies that 16 percent were below the poverty line and the poverty severity was 0.07 which implies that 7 percent of the respondents were severely poor. Also, it revealed that flood shocks, gender, household size, household income, access to credit and membership to social organization were significant determinants of poverty. The study then came to the conclusion that many coping mechanisms people employ are corrosive because they have detrimental long-term implications on the sustainability of household subsistence. For future risk assessments and flood mitigation, the study advises using a holistic strategy and adept models. The remedies outlined in this paper would help the government, private sector, and sugar cane farmers economically.

Supporting Institution

Cyprus International University, Nicosia, North Cyprus

Project Number

1358365

References

  • Adebayo, A. F. (1998). An evaluation of public policies for rural development in Nigeria. Africa: Revista do centra de Estudos Africanos, 20(21): 65-73.
  • Adeniyi, E. O. (1973). Downstream impact of the Kainji Dam in Kainji Lake. A Nigerian Man-made Lake Mabogunje, A.L (ed.) NISER, Ibadan Nigeria. Vol. 2.
  • Adenuga A. H., Fadipe A. E. A. and Lawal A., (2014). Analysis of ıncome determinants among rural households in Kwara State, Nigeria. Trakia Journal of Sciences, 4: 400-404.
  • Anonymous (2018). Food and Agriculture Organization of the United Nations (FAO), http://www.fao.org/site, (Accessed Date: 10.10.2018).
  • Anonymous (2019). Sugar Alliance, http://www.Sugaralliance.org. (Accessed Date: 12.01.2019)
  • Aseel, S. A., Madya Rusdi, B. O., Mashitah, B. M. U. (2017). Theories of poverty to the Integrative Theory. A Comparative analysis: According to the situation of Iraq. IOSR Journal Of Humanities And Social Science (IOSR-JHSS) 22(5): 47-50.
  • Babatolu J.S., Akinnubi R.T., Babatolu and Akinnubi (2014). Influence of climate change in Niger River Basin Development Authority Area on Niger Runoff, Journal of Earth Science & Climatic Change, 5(9): 1000230. http://dx.doi.org/10.4172/2157-7617.1000230
  • Chaudhry, I. M., Malik, S. and Ashraf, M. (2006). Rural poverty in Pakistan: Some related concepts, issues and empirical analysis Pakistan. Economic and Social Review, 44(2): 259-276.
  • Ucha, C. (2010). Poverty in Nigeria: Some dimensions and contributing factors, Global Majority E-Journal, 1(1): 46-56.
  • Dutta, D., Herrath, S. and Musiake, K. (2003). A mathematical model for flood loss estimation. Journal of Hydrology, 277(1-2): 24-49.
  • Ehinmowo, O. O., Fatuase, A. I. and Ojo, S. O. (2017). Empirical analysis of poverty status of small scale cassava processors in Nigeria. Journal of Agricultural Faculty of Gaziomanpaşa University, 34(1): 26-32.
  • Etuonovbe, A. K. (2011). The devastating effect of flooding in Nigeria. FIG Working Week (Vol. 201, No. 1). Marrakech, Morocco: Bridging the Gap between Cultures.
  • Gedik, D. S., and Yilmaz, E. (2023). Determination of the factors affecting the level of benefit from young farmer project support in rural development: Tekirdag sample, Türkiye. Journal of Tekirdag Agricultural Faculty, 20(2): 418-429.
  • Guetchine G. (2013). Flood loss estimation model: Recasting flood disaster assessment and mitigation for Haiti, the case of Gonaives. (MSc. Thesis) Southern Illinois University at Carbondale.
  • Igbalajobi, O., Fatuase, A. I. and Ajibefun, I. (2013). Determinants of poverty ıncidence among rural farmers in Ondo State, Nigeria. American Journal of Rural Development, 1(5): 131-137. https://doi.org/10.12691/ajrd-1-5-5
  • McCusker, B., Carr, E. R. (2006). The co-production of livelihoods and land use change: Case studies from South Africa and Ghana. GeoForum, 37: 790-804.
  • Modupe, O. J., Solomon O. B., Adeniyi S. A., Habeeb S. (2023). Multidimensional approach to mitigating flood risks and ımpact: A Case study of rice farming in Nigeria. Journal of Advanced Environmental Research and Technology 1(1): 27-38.
  • National Population Commission (2006). History of Population Census. https://nationalpopulation.gov.ng Olutunmise, A. I. Ajibefun, I. A. (2019). Evaluation of poverty status and time-taken to exit poverty among food crop farmers in Nigeria. Journal of Agricultural Faculty of Gaziosmanpaşa University, 36(2): 97-106.
  • Opondo, D. O. (2013). Erosive coping after the 2011 floods in Kenya. International Journal of Global Warming, 5(4): 452–466.
  • Oyekale, A. S. (2008). Land degradation, soil conservation practices and poverty incidence in south western nigeria. Agricultural Journal, 3(6): 482 -487.
  • Oyekale, T. O. (2012). Fuzzy indicator of sustainable land management and its correlates in Osun State, Nigeria. Journal of Human Ecology,39(3): 175-182.
  • Phlips, T. P., Taylor, D. S., Sanni, L. O. and Akoroda M. O. (2004). A Cassava Industrial Revolution in Nigeria: The Potential of A New Industrial Crop. Rome: FAO (p. 49).
  • Rehman, S., Sahana, M., Hong, H., Sajjad, H. and Ahmed, B. B. (2019). A system review on approaches and methods used for flood vulnerability assessment: Framework for future research. Natural Hazards, 96: 975-998.
  • Sanchez-Martinez, M. and Davis, P. (2014). A review of the economic theories of poverty. National Institute of Economic and Social Research Discussion Paper, No. 435.
  • Shiferaw, B. and Holden, S. (1998). Resource Degradation and adoption of land conservation technologies in the Ethiopian Highlands: A Case study in Andit Tid, North Shewa. Agricultural Economics, 18(3): 233-247.
  • Simsek, O. and Cakmak, B. (2010). Drought analysis for 2007-2008 agricultural year of Turkey. Journal of Tekirdag Agricultural Faculty, 7(3): 99-109.
  • Solihu, H., Bilewu, S. O. (2022). Assessment of anthropogenic activities impacts on the water quality of Asa river: A case study of Amilengbe area, Ilorin, Kwara state, Nigeria. Environmental Challenges, 7: 100473.
  • Wisner, B. (2003) “Disaster risk reduction in megacities: making the most of human and social capital”, A. Kreimer, M. Arnold, A. Carlin (eds), Building safer cities: The future of disaster risk, The World Bank, Washington, DC, 181-96.
  • World Bank Report (2005). The World Bank Annual Report. https://documents.worldbank.org
  • World Bank Report (2008). Agriculture for Development. https://documents.worldbank.org
  • Yaro, J. A. (2004). Theorizing Food Insecurity: building a livelihood framework for researching food insecurity. Norwegian Journal of Geography, 58: 23-37.
There are 31 citations in total.

Details

Primary Language English
Subjects Agricultural Extension and Communication
Journal Section Articles
Authors

Elizabeth Adewale 0009-0008-8877-3871

Grace Akinsola 0000-0002-5278-2281

Opeyemi Ayinde 0000-0003-3742-888X

Project Number 1358365
Early Pub Date September 12, 2024
Publication Date September 20, 2024
Submission Date October 20, 2023
Acceptance Date December 28, 2023
Published in Issue Year 2024

Cite

APA Adewale, E., Akinsola, G., & Ayinde, O. (2024). Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria. Tekirdağ Ziraat Fakültesi Dergisi, 21(4), 942-953. https://doi.org/10.33462/jotaf.1378829
AMA Adewale E, Akinsola G, Ayinde O. Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria. JOTAF. September 2024;21(4):942-953. doi:10.33462/jotaf.1378829
Chicago Adewale, Elizabeth, Grace Akinsola, and Opeyemi Ayinde. “Effect of Flood on Poverty Status: Evidence from Sugar Cane Farmers in Kwara State and Osun State of Nigeria”. Tekirdağ Ziraat Fakültesi Dergisi 21, no. 4 (September 2024): 942-53. https://doi.org/10.33462/jotaf.1378829.
EndNote Adewale E, Akinsola G, Ayinde O (September 1, 2024) Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria. Tekirdağ Ziraat Fakültesi Dergisi 21 4 942–953.
IEEE E. Adewale, G. Akinsola, and O. Ayinde, “Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria”, JOTAF, vol. 21, no. 4, pp. 942–953, 2024, doi: 10.33462/jotaf.1378829.
ISNAD Adewale, Elizabeth et al. “Effect of Flood on Poverty Status: Evidence from Sugar Cane Farmers in Kwara State and Osun State of Nigeria”. Tekirdağ Ziraat Fakültesi Dergisi 21/4 (September 2024), 942-953. https://doi.org/10.33462/jotaf.1378829.
JAMA Adewale E, Akinsola G, Ayinde O. Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria. JOTAF. 2024;21:942–953.
MLA Adewale, Elizabeth et al. “Effect of Flood on Poverty Status: Evidence from Sugar Cane Farmers in Kwara State and Osun State of Nigeria”. Tekirdağ Ziraat Fakültesi Dergisi, vol. 21, no. 4, 2024, pp. 942-53, doi:10.33462/jotaf.1378829.
Vancouver Adewale E, Akinsola G, Ayinde O. Effect of Flood on Poverty Status: Evidence from Sugar cane Farmers in Kwara State and Osun State of Nigeria. JOTAF. 2024;21(4):942-53.