Rice Farmers' Technical Efficiency and Level of Poverty: Evidence from the Anchor Borrower Program (ABP)

International Journal Of Agricultural Science, Research And Technology In Extension And Education Systems

دوره 13، شماره 2، شهریور 2023، صفحه 119-130   

نوع مقاله: Original Article

نویسندگان

Kafayat Yemisi Belewu^{* 1}؛ Abraham Olajide Ajao²؛ Ayinde Alani Ezekiel²

¹Department of Agricultural Economics and Farm Management, University of Ilorin, Ilorin, Nigeria.

²Department of Agricultural Economics, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria

چکیده

To avoid the moribund path of most of the earlier implemented agricultural-based interventions in Nigeria. Anchor Borrowers’ program was introduced to contribute meaningfully to the economy. The study investigated on rice farmers’ technical efficiency and level of poverty in Nigeria: Evidence from the Anchor borrower program. Primary data were analyzed using Descriptive analysis, Gini coefficient, Stochastic production Frontier model, Regression analysis, and Vulnerability Index. Evidence from the result revealed that the average yield per hectare of paddy rice for the beneficiaries (70%) majorly was 4500 kg while non-beneficiaries (52%) was 3500kg. The production function showed that the coefficient of regression for herbicides, seed and fertilizer was positively significant at 5% and %, respectively. The factors that influencing technical inefficiency (farm organization, farm size, farm experience and ABP loan) were found to be negatively significant. The logistic regression model estimate revealed that factors influence loan acquisitions of respondents include: (farm organization, extension agent visit, age of household, and farm size) which were positively statistically significant and this is important in explaining ABP credit acquisition access among households. The results of the Gini coefficient also indicated that income inequality was higher in ABP beneficiaries than non-beneficiaries. Vulnerability index results showed that ABP non-beneficiaries were more vulnerable to poverty than beneficiaries. Additionally, the non-beneficiaries have a poorer population than beneficiaries. However, these results indicate that the Anchor borrower program has a positive impact on beneficiaries’ welfare.

کلیدواژه‌ها

ABP؛ Gini-coefficient؛ rice farmer؛ vulnerability-index

مراجع

1. Adefalu L L., Bakare, K. A, Ibrahim, H. K & Babatunde, A. (2014). The Assessment of extension activities of Local Government Agricultural Workers in the Kwara State of Nigeria. Journal of Social Sciences, 5(1), 26-45. edition.
2. Adesina, A.A. (2012). Unlocking the potential of Agriculture in Sub-Sahara Africa: Nigeria‘s Transformation Agenda for Agriculture. Abuja Nigeria: Federal Ministry of Agriculture and Rural Development. 23-35.
3. Agresti A. (1996). An introduction to categorical data analysis. USA: John Wiley, 230-315.
4. Akinbile, L. A., Akingbade, M & Salaudeen, A. O. (2023). Contributions of Anchor Borrowers Programme to Rice Farmers’ Productivity in Ekiti State. Journal of Agricultural Extension 27 (1), 50-60.
5. Alene, A.D., Hassan, R.M & Demeke, M. (2005). The Technical and Cost Efficiencies of Hybrid Maize Production in Western Ethiopia Quarterly Journal of International Agriculture, 44(2), 167-181.
6. Amao, J.O., Ayantoye K.& Fanifosi, G.E. (2017). Analysis of Poverty Status and Income Distribution Among Farming Households in Imo State, Nigeria. Journal of Economics and Sustainable Development, 8(20), 190. www.iiste.org
7. Amaza, P.S.& Maurice, D.C. (2005). Identification of factors that influence technical efficiency in the rice-based production system in Nigeria. Paper presented at the workshop on policies and strategies for promotion of rice production and food security in Sub-Sahara Africa, Cotonou (Benin).1-9.
8. Ayinde, O., E,. Fatigun, K., Ogunbiyi, K., Ayinde, K., & Ambali, Y., O. (2018). Assessment of Central Bank Intervention on Rice Production in Kwara State: A Case-study of Anchor Borrower's Program, Kwara State, Nigeria. A Conference Paper of the International Association of Agricultural Economists held at Vancouver, British Columbia. Available online at https//ideas.repec.org. 25-40.
9. Ayinde, O.E. (2013). Evaluation of the Effects of Climate Change on Rice Production in Niger State, Nigeria. Ethiopian Journal of Environmental Studies and Management, 6(6), 763-773.
10. Ayinde, O.E., Adewumi, M.O & Ojehomon, V.E.T. (2009). Determinants of technical efficiency and varietal a gap of rice production in Nigeria: a meta-frontier model approach. Paper presented at the International Association of Agricultural Economists Conference, China Beijing. 123-195
11. Battese, G.E. & Coelli, T.J. (2004). A met frontier production function for estimation of technical efficiencies and Technology gaps for firms operating under different technologies. Journal of Productivity Analysis. (2)191-103.
12. Beegle, K. & Christiaensen, L. (2019). Accelerating poverty reduction in Africa. Washington, DC: World Bank Publications. 350-420.
13. Biyi, D. (2005). Government Policies and Competitiveness of Nigerian Rice Economy. A paper presented at the workshop on Rice Policy and Food Security in Sub-Saharan Africa was organized by. WARDA, Cotonou, Republic of Benin, 7 – 9th November.
14. Bolarinwa, K.K. & Fakoya, E.O. (2011). Impact of Farm Credit on Farmers Socio-economic Status in Ogun State, Nigeria. Journal of Socio Science, 26(1), 67-71.
15. Borooah, V.K. (2002). Logit and Probit. Compares Odds Ratios vs. Risk Ratios, Logit vs. Probit, Multinomial Logit, Step-by-Step Approach to Procedures. Thousand Oaks, CA: Sage Publications. 400-520.
16. Diao, X., Harttgen, K., & McMillan, M. (2017). The changing structure of Africa’s economies. The World Bank Economic Review 31(2), 412–433.
17. Edoumiekumo, S. G & Audu, N.P. (2009). The impact of agriculture and agro-based industries on economic development in Nigeria. An econometric assessment. Journal of Research in National Development, 7(1), 9-14.
18. Fadilah, M., Sanibil, L.J & Ayaaba, T. (2023). Effects of Farmers’ Perceptions of the National Farmers’ Day Awards Scheme on Farm Productivity in Ghana. International Journal of Agricultural Science, Research and Technology (IJASRT) in Extension and Education Systems, (13)2, 65-73.
19. Fakayode, S.B., Adewumi, M. O., Salau, S. A, & Afolabi, O. A. (2009). On-lending credit scheme to farmers in Nigeria: An appraisal of Ekiti State Agricultural Credit Agency (ESACA) Scheme. Journal of Agriculture, Biotechnology & Ecology, 2(3), 286-294.
20. (2016). FAOSTAT online database/ Retrieved on June 6, 2014, from http://faostat.fao/site/567/default.aspx.
21. (2018). FAOSTAT online database/ Retrieved on June 6, 2014, from http://faostat.fao.org/site.
22. Gona, A., Mahmud, A., & Maikasuwa, M., A. (2020). Effect of Anchor Borrowers Programme (ABP) on Technical Efficiency of Beneficiary Rice Farmers in Kebbi State, Nigeria. International Journal of Agricultural Economics, 5(4), 106 – 113.
23. Indranil, D. & Foster, J. (2010). On Measuring Vulnerability to Poverty” University of Manchester, UK George Washington University, USA Ajit Mishra University of Bath, UK 345-450.
24. International Institute of Tropical Agriculture (IITA). (2011). Cassava value chain development” in Ibadan, Nigeria. Conference presentation on 15th August 2011. 20-35.
25. Iqbal, M., Ahmad, M. & Abbas, K. (2003). The Impact of Institutional Credit on Agricultural Production in Pakistan. The Pakistan Development Review 42.4 Part I:469-485
26. Kolawole, O & Ojo, S.O. (2007). Economic efficiency of small-scale food crop production in Nigeria. A stochastic frontier s approach. Journal of Social Science.2007; 14(2),123-130.
27. Muhammad-Lawal, A., Omotesho, O. A & Falola, A. (2009). Technical efficiency of youth Participation in Agriculture: A case study of the Youth-in-Agriculture Programme in Ondo State, Southwestern Nigeria. Nigerian Journal of Agriculture, Food and Environment, 5(1), 20-26.
28. Obazi, S. A., Iheanyichukwu, M.O., Okoronkwo, D.J., Obasi, K & Esheya, S.E. (2022). Adoption level on Organic Farming Practices by Fluted Pumpkin Vegetable Farmers in Enugu State, Nigeria. International Journal of Agricultural Science, Research and Technology (IJASRT) in Extension and Education Systems, (12)4, 179-188.
29. Odu, O.O., Okoruwa, V.O., Adenegan, K.O. & Olajide, A.O. (2009). Determinants of Rice Farmer’s Access to credit in Niger State, Nigeria. Journal of Rural Economics and Development, (20)1, 50-65.
30. Ogunniyi, L.T., Fanifosi, G.E., Ajao, O.A. & Dlamini, D.V. (2018). Impact of Agricultural Extension Services on Crop Farmers’ Productivity in Oyo State, Nigeria. Applied Science Reports, 23 (3), 97-101.
31. Olagunju, F. I., & Adeyemo, R. (2000). Evaluation of the Operational Performance of the Nigerian Agricultural Credit Cooperative and Rural Development Bank (NACRDB) in South-Western Nigeria. International Journal of Agricultural Economics & Rural Development, 1 (1), 125-140.
32. Olawuyi, S.O & Raufu, M.O. (2012). Determinants of Poverty among Crop Farmers: A Case study of Ogo-Oluwa Local Government, Oyo State. British Journal of Economics, Management &Trade, 2(4), 340-352.
33. Olubunmi-Ajayi, T., Amos, T., Borokini, E., & Aturamu, O. (2023). Profitability and Technical Efficiency of Maize-Based Cropping System Farmers in Ondo State, Nigeria. International Journal of Agricultural Science, Research and Technology in Extension and Education Systems (IJASRT in EESs), 13(1), 11-22.
34. Rahji, M.A.Y. (2005). Determinants of Efficiency Differential in Lowland Rice production systems in Niger State. Nigeria. Ibadan Journal of Agricultural Research, 1(1), 7-17.
35. Salisu, J., Adebayo, C. O., Njirgi, A.J. & Ojo, A.O. (2022). Effects of Anchor Borrowers Programme (ABP) Credit on The Productivity of Beneficiary Rice Farmers in Kebbi State, Nigeria. FUDMA Journal of Agriculture and Agricultural Technology, 8(1), 329-338. 
36. World Bank (2021). Annual report. From Crisis to Green, Resilient, and Inclusive Recovery https://www.worldbank.org/en/about/annual-report. 10-22.