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International Journal Of Horticulture, Agriculture And Food Science(IJHAF)

Economic Impact Assessment of Social Protection Intervention Programme among Widow Farmers in the Flood Belt of Bayelsa State, Nigeria

Achoja Felix Odemero , Ebiwei Isaac Zipamoere


International Journal of Horticulture, Agriculture and Food science(IJHAF), Vol-1, Issue-4, November - December 2017, Pages 29-39, 10.22161/ijhaf.1.4.5

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The incidence of widowhood in this Bayelsa State is magnified by the loss of their spouses to militancy in the Niger Delta Region. This has assumed a worrisome dimension and has consequently attracted some level of intervention from government and donor agencies. It is important to assess the economic impact of such intervention of on the welfare of widow farmers in Bayelsa state. The broad objective of the study was to assess the economic impact of social protection intervention programme on widow farmers. Primary data were obtained with a combination of questionnaire and interview schedule. All the 37 registered widow farmers were involved in the study. Collected data were analysed using descriptive statistical tools, T- test and multiple regression analysis. The result shows that income of widow farmers was significantly higher (P < 0.05) after participation in social protection intervention programme. Percentage of benefiting widow farmers in the middle and upper classes increased. The Gini coefficient of 0.13 indicates a relatively even distribution of the impact of the programme among widow farmers. Cases of vulnerability to property loss flood hazards significantly (P < 0.05) reduced after participation in the programme. Social protection intervention progarmme had a multiplier effect on their households in the area of school enrolment (43% returned to school after the flood hazards and subsequent intervention); school drop-out rate reduced by 35%; and malnutrition of children of school age reduced by 62%. Intensity of participation of widow farmers significantly influenced effectiveness of the intervention prograrmme. This study has contributed to knowledge by establishing the linkages between social protection intervention programme and welfare upgrading of climate change-based-vulnerable widow farmers and their households. We recommended among others that widow farmers’ register in the state should be updated periodically to accommodate more widow farmers particularly in the rural areas and more stake holders should give of social protection support in addition to Bayelsa State Government.

Economic Assessment, Social Protection, Intervention, Programme Women Farmers, Bayelsa State.

[1] African Union (AU),. (2008). ‘Social Policy Framework for Africa. ‘First Session of AU Conference of Ministers in Charge of Social Development, Windhoek, Namibia.
[2] Barrientos, A. (2010). Social Protection and Poverty. Social policy and development programme paper number 42. Geneva: United Nations Research Institute for Development.
[3] Barrientos, A. and Hulme, D. (2009). Social Protection for the Poor and Poorest in Developing Countries: Reflections on a Quiet Revolution: Commentary. Oxford Developmental Studies, 37(4), 439-456.
[4] Barrientos, A. and J. Scott (2008). Social Transfers and Growth: a Review. BWPI working paper 5. Manchester, Brooks World Poverty Institute.
[5] Devereux, S. and Sabates-Wheeler, R. (2004). Transformative Social Protection (IDS Working Paper 232). Brighton: IDS.
[6] Devereux, S. and Sabates-Wheeler, R. (2007). Editorial introduction: Debating Social Protection. IDS Bulletin, 38(3), 1-7.
[7] Devereux, S., and Getu, G. (2013). Informal and Formal Social Protection System in Sub-sahara Africa: The Review of Social Protection Issues in Africa. Kampala: Fountain Publishers, 2013.
[8] Hanlon, J., Barrientos, A., and Hulme, D. (2010). ‘Co-responsibility and Services: The Conditionality Dilemma’. Just give Money to the Poor: The Development Revolution from the Global south, Sterling, VA: Kumarian Press.
[9] Michaela, D.P and Alan, W. (2015). Income Inequality, Income Polarization and Poverty: How Are They Different? How Are They Measured? United way Toronto and York Religion Neighbor Change Research Partnership, University of Toronto.
[10] Ojowu, O., Bulus, H. and Omonona, B. (2007). Nigeria Poverty Assessment. Abuja:NBS.
[11] World Social Protection Report (2014). Building Economy Recovery, Inclusive Development and Social Justice: International Labour Office, Geneve.