Determinants of Vulnerability to Poverty among Rice Farmers: A Case Study of Nasarawa Rice Hub

الموضوعات :

Babatunde Olanrewaju ¹ , Opeyemi Gbenga ² , Zubair Idris ³

1 - Department of Agricultural Economics and Farm Management, University of Ilorin, Ilorin, P.M.B 1515, Ilorin, Kwara State, Nigeria
2 - 2Department of Agricultural Economics and Extension,Faculty of Agriculture, Kogi State University Anyigba, P.M.B 1008, Anyigba, Kogi State, Nigeria, Corresponding Authors Email: [e-mail]
3 - Department of Agricultural Economics and Farm Management, University of Ilorin, Ilorin, P.M.B 1515, Ilorin, Kwara State, Nigeria

تاريخ الإرسال : 07 الثلاثاء , جمادى الثانية, 1440 تاريخ التأكيد : 25 الخميس , رمضان, 1440 تاريخ الإصدار : 24 الجمعة , جمادى الثانية, 1440

الکلمات المفتاحية: Vulnerability, poverty, farmers, Determinants,

ملخص المقالة :

The study examined factors influencing rice farmers` vulnerability to poverty, identified coping strategies employed by farmers to manage livelihood shocks that predisposes them to poverty and determined the impact of poverty on rice production in Nasarawa state, Nigeria. The study was carried out in Nasarawa rice hubs Nasarawa state. A two stage sampling technique was employed to select 121 rice farming households across 5 communities. Data was collect using questionnaire and personal interview and the data was analysed using household vulnerability index (HVI),fussy set analysis, regression analysis(ordered probit and OLS) as well as descriptive statistics. HVI analysis reveals that 16.5% of the households has low vulnerability to poverty, 65.3 has moderate vulnerability to poverty while 18.2% has high vulnerability to poverty. Ordered probit regression result reveals that access to information, number of shocks (idiosyncratic and covariate) exposed to by households, and years of farming significantly affect household vulnerability to poverty in the studied area. The study therefore, concludes that majority of the households are moderately vulnerable to poverty which implies majority of the household has been affected so hard that they need rapid-response poverty alleviation strategies to be liberated from poverty. It was also shown that rice farmers in the study area rely majorly on help from friends and relatives, also borrowed food in order to cope with livelihood threats. The study also concludes that Fulani herds men crisis, communal crisis, flood and poor linker roads are the major challenges facing farmers in the studied area.

المصادر:

1. Akpabio, I. A. (2005). Rural and Agricultural Sociology. In: Ike Nwachukwu(ed) (2005). Agricultural Extension and Rural sociology.Snaap Press Ltd, Enugu.


2. Birkmann, J. (2006). Measuring vulnerability to promote disaster-resilient societies: Conceptual frameworks and definitions. Measuring vulnerability to natural hazards: Towards disaster resilient societies, 954.


3. Cherotich, V. K., Saidu, O. (2012). Access to climate change information and support services by the vulnerable groups in semi-arid Kenya for adaptive capacity development. African Crop Science Journal 20(2): 169-180.


4. Department for Internal Development (DFID), (2008).Sustainable Livelihoods Guidance Sheets.Department for International Development, Natural Resources Policy and Advisory Department (UK).


5. Ekong, E. E. (2003). Rural Sociology: An Introduction and Analysis of Rural Nigeria. Dove Educational Publishers, Uyo.Evelyn N.O.O., & David O.A. (2015). Poverty and Income Inequality In Nigeria: Any Causality? Asian Economic and Financial Review, 2015, 5(3):439-452


6. Evelyn N. O. O. and David O. A. (2015). Poverty and Income Inequality in Nigeria: Any Causality? Asian Economic and Financial Review, 2015, 5(3):439-452.


7. FANRPAN (Food, Agriculture and Natural Resources Policy Analysis Network) (2007). Household Vulnerability Index (HVI) for quantifying impact of HIV and AIDS on rural livelihoods. http://www.fanrpan.org/documents/d00217/index.php (Accessed 7/06/2007).


8. Hassan F .M, Imai, K .D, Sato, T. (2013). Impacts of Agricultural Extension on Crop Productivity, Poverty and Vulnerability: Evidence from Uganda. RIEB Discussion Papers, Kobe University.


9. Hoddinott, J. and A. Quisumbing. (2003). Methods for micro econometric risk and vulnerability assessments. Social Protection Discussion Paper Series No. 0324. Social Protection Unit, Human Development Network. Washington D.C, World Bank.

10. Ifeanyi-Obi, C. C., Asiabaka, C.C., Adesope, O.M., Issa, F.O. (2011). Inhabitant's perception of climate change, effects and adaptation strategies in Etche Local Government Area of Rivers state, Nigeria. Research India Publications, Global Journal of Applied Agricultural Research, 1(1); pp 54-67.

11. Lawrence, M., Holzmann, P., O’Donnell, M., Adams, L., Holt, J., Hammond, L., & Duffield, A. (2008).The Practitioners' Guide to the Household Economy Approach. In T. Boudreau (Ed.): Save the Children.

12. Mgbada, J. U. (2010). Agricultural Extension; the human development perspective. Computer publishers Enugu.

13. National Bureau of Statistics - NBS, (2012). Annual abstract of statistics. Abuja: NBS Press.

14. National Bureau of Statistics, (2006).National bureau of statistics annual abstract of statistics. Abuja: NBS Press.

15. Okoruwa, V.O. and Ogundele, O.O. (2006). Technical Efficiency Differentials in Rice Production Technologies in Nigeria Agric Research Paper 134, African Economic Research Consortium, Nairobi.

16. Olawuyi . S. O.  and  Adetunji M. O. (2013). Assessment of Rural Households Poverty in Nigeria: Evidence from Ogbomoso Agricultural Zone of Oyo State, Nigeria, Journal of Scientific Research & Reports 2(1): 35-45.

17. Ozor, N. (2009). Understanding Climate Change: Implications for Nigerian Agriculture, Policy and Extension. Paper Presented at the nationalConference on “Climate Change and the Nigerian Environment”, organized by the Department of Geography, University of Nigeria, Nsukka, 29th June -2nd July.

18. Petty, C., and Seaman, J. (2004). A New Household Economy Method for Assessing Impact of Shocks. Field Exchange, 23, 10-12. 

19. UNDP. (2009). Human Development Report 2009. Available from:http://hdr.undp.org/ en/reports/global/hdr2009/.

20. World Bank. (2009).World development indicators online 2009. Available fromhttp://data worldbank.org/indicator.