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Estimation of Actual and Potential Adoption Rates and Determinants of NERICA Rice Varieties in Nigeria

Author

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  • Dontsop Nguezet, Paul Martin
  • Diagne, Aliou
  • Okoruwa, Victor O.
  • Ojehomon, Vivian E.T.

Abstract

The article uses the Average Treatment Effect (ATE) to estimate the population potential adoption rates of New Rice for Africa (NERICA) varieties in Nigeria when awareness of the new varieties and access to their seed are not constrained to farmers. It thus extends previous works in the literature which have focused on estimating potential adoption rates when only awareness of the technology is not a constraint to farmers. The adoption gaps due to lack of awareness and access to seed, and the determinants of adoption are estimated as well. Results show that NERICA adoption rate in Nigeria would have been up to 54% if the whole population were aware and up to 62% if they had access to NERICA variety seed. The actually observed 19% adoption rate implies a population adoption gap of 35% and 43% due to lack of awareness and access to NERICA seed respectively. It is also inferred from these results that when awareness is not a constraint, about 8% of the population will fail to adopt NERICA because of lack of access to its seed. Also famers with secondary education and farmers with access to extension services are more likely to adopt NERICA than farmers without.

Suggested Citation

  • Dontsop Nguezet, Paul Martin & Diagne, Aliou & Okoruwa, Victor O. & Ojehomon, Vivian E.T., 2012. "Estimation of Actual and Potential Adoption Rates and Determinants of NERICA Rice Varieties in Nigeria," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126069, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:126069
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    References listed on IDEAS

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    1. Yoko Kijima & Keijiro Otsuka & Dick Sserunkuuma, 2008. "Assessing the impact of NERICA on income and poverty in central and western Uganda," Agricultural Economics, International Association of Agricultural Economists, vol. 38(3), pages 327-337, May.
    2. 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.
    3. Dimara, Efthalia & Skuras, Dimitris, 2003. "Adoption of agricultural innovations as a two-stage partial observability process," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 28(3), May.
    4. 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.
    5. Sall, S. & Norman, D. & Featherstone, A. M., 2000. "Quantitative assessment of improved rice variety adoption: the farmer's perspective," Agricultural Systems, Elsevier, vol. 66(2), pages 129-144, November.
    6. Gockowski, James & Ndoumbe, Michel, 2004. "The adoption of intensive monocrop horticulture in southern Cameroon," Agricultural Economics, Blackwell, vol. 30(3), pages 195-202, May.
    7. Ransom, J. K. & Paudyal, K. & Adhikari, K., 2003. "Adoption of improved maize varieties in the hills of Nepal," Agricultural Economics, Blackwell, vol. 29(3), pages 299-305, December.
    8. Adekambi, Souleimane Adeyemi & Diagne, Aliou & Simtowe, Franklin & Biaou, Gauthier, 2009. "The Impact of Agricultural Technology Adoption on Poverty: The case of NERICA rice varieties in Benin," 2009 Conference, August 16-22, 2009, Beijing, China 51645, International Association of Agricultural Economists.
    9. Saha Atanu & H. Alan Love & Robert Schwart, 1994. "Adoption of Emerging Technologies Under Output Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 836-846.
    10. Fernandez-Cornejo, Jorge & Beach, E. Douglas & Huang, Wen-Yuan, 1994. "The Adoption Of Ipm Techniques By Vegetable Growers In Florida, Michigan And Texas," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 26(01), July.
    11. Nguezet, Paul Martin Dontsop & Diagne, Aliou & Okoruwa, Victor Olusegun & Ojehomon, Vivian, 0. "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-Universität zu Berlin, vol. 50.
    12. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    13. Diagne, Aliou, 2010. "Technological change in smallholder agriculture: Bridging the adoption gap by understanding its source," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 5(1), September.
    14. Seck, Papa A. & Tollens, Eric & Wopereis, Marco C.S. & Diagne, Aliou & Bamba, Ibrahim, 2010. "Rising trends and variability of rice prices: Threats and opportunities for sub-Saharan Africa," Food Policy, Elsevier, vol. 35(5), pages 403-411, October.
    15. Ransom, J.K. & Paudyal, K. & Adhikari, Keshav R., 2003. "Adoption of improved maize varieties in the hills of Nepal," Agricultural Economics of Agricultural Economists, International Association of Agricultural Economists, vol. 29(3), December.
    16. Adesina, Akinwumi A. & Baidu-Forson, Jojo, 1995. "Farmers' perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa," Agricultural Economics, Blackwell, vol. 13(1), pages 1-9, October.
    17. Feder, Gershon & O'Mara, Gerald T, 1981. "Farm Size and the Diffusion of Green Revolution Technology," Economic Development and Cultural Change, University of Chicago Press, vol. 30(1), pages 59-76, October.
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    Cited by:

    1. Tomonori Yokouchi & Kazuki Saito, 2016. "Factors affecting farmers’ adoption of NERICA upland rice varieties: the case of a seed producing village in central Benin," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 8(1), pages 197-209, February.
    2. Bola Amoke Awotide & Aziz A. Karimov & Aliou Diagne, 2016. "Agricultural technology adoption, commercialization and smallholder rice farmers’ welfare in rural Nigeria," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 4(1), pages 1-24, December.
    3. Dibba, Lamin & Zeller, Manfred & Diagne, Aliou & Nielsen, Thea, 0. "How Accessibility to Seeds Affects the Potential Adoption of an Improved Rice Variety: The Case of The New Rice for Africa (NERICA) in The Gambia," Quarterly Journal of International Agriculture, Humboldt-Universität zu Berlin, vol. 54.

    More about this item

    Keywords

    Awareness; Access to seed; NERICA adoption; Average Treatment Effect; Nigeria; Production Economics; Research and Development/Tech Change/Emerging Technologies; C13; O33; Q12; Q16;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • Q12 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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