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Technical Efficiency And Impact Evaluation Differentials Between The Adopters And Non-Adopters Of Nerica In The Six Baseline States In Nigeria

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  • Obayelu, Abiodun Elijah
  • Adeoti, John Olatunji
  • Dontsop, Nguezet Paul Martins

Abstract

The study examined the adoption rate of New Rice for Africa (NERICA), technical efficiency differentials of production of these varieties between adopters and non-adopters and the determinants. It further analysed the impact of adoption of NERICA on area cultivated, output, yield, expenditure and total income of rice farmers in the NERICA baseline states in Nigeria. To achieve the objectives, it employed the descriptive statistics, stochastic production frontier and counterfactual outcomes framework of modern evaluation technique (the Local Average Treatment Effect) to analyse 621 rice farmers across the six NERICA baseline states in Nigeria in 2012. The findings show that NERICA adopters were more technically efficient than the non-adopters. In addition, adoption of NERICA was found to significantly increase the areas of land cultivated, output, yield, household expenditure, per capita household expenditure and total income among NERICA adopters by 1.2ha (p < 0.01), 1998.2kg (p< 0.01), 191.2kg/ha (p < 0.1), N13,222.63≈$66.4 (p < 0.05), N2,015.6≈$10.1 (p < 0.05) and N145,098.7 ≈$728.0 (p < 0.01) respectively despite their high level of inefficiency (39 percent) by the adopters. The positive impact of NERICA adoption on rice yields, poverty status measured by the per capita household expenditure and total farm income of farmers is a clear indication that NERICA has the potential to increase rice productivity, reduce poverty and food insecurity. NERICA adoption rate will rise if more farmers are aware of the varieties in the study. Farmers who had adopted, and government at all levels should therefore intensify their efforts to encourage others rice farmers possibly through the extension agents on the need to grow NERICA varieties so as to increase rice production level, reduce rice importation and ensure a sustainable rice production.

Suggested Citation

  • Obayelu, Abiodun Elijah & Adeoti, John Olatunji & Dontsop, Nguezet Paul Martins, 2017. "Technical Efficiency And Impact Evaluation Differentials Between The Adopters And Non-Adopters Of Nerica In The Six Baseline States In Nigeria," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 20(1), April.
  • Handle: RePEc:ags:roaaec:264571
    DOI: 10.22004/ag.econ.264571
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    References listed on IDEAS

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    1. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    2. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    3. Bola Amoke Awotide & Aziz Karimov & Aliou Diagne & Tebila Nakelse, 2013. "The impact of seed vouchers on poverty reduction among smallholder rice farmers in Nigeria," Agricultural Economics, International Association of Agricultural Economists, vol. 44(6), pages 647-658, November.
    4. Yoko KIJIMA & Dick SSERUNKUUMA & Keijiro OTSUKA, 2006. "How Revolutionary Is The “Nerica Revolution”? Evidence From Uganda," The Developing Economies, Institute of Developing Economies, vol. 44(2), pages 252-267, June.
    5. Mendola, Mariapia, 2007. "Agricultural technology adoption and poverty reduction: A propensity-score matching analysis for rural Bangladesh," Food Policy, Elsevier, vol. 32(3), pages 372-393, June.
    6. Dalton, Timothy J. & Guei, Robert G., 2003. "Productivity Gains from Rice Genetic Enhancements in West Africa: Countries and Ecologies," World Development, Elsevier, vol. 31(2), pages 359-374, February.
    7. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    8. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 2011. "Impact of Improved Rice Technology (NERICA varieties) on Income and Poverty among Rice Farming Households in Nigeria: A Local Average Treatment Effect (LATE) Approach," Quarterly Journal of International Agriculture, Humboldt-Universitaat zu Berlin, vol. 50(3), pages 1-25.
    9. Tijani, A.A., 2006. "Analysis of the technical efficiency of rice farms in Ijesha Land of Osun State, Nigeria," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(2), pages 1-10, June.
    10. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-332.
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