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Gender Differences In Technology Adoption And Welfare Impact Among Nigerian Farming Households

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  • Obisesan, Adekemi

Abstract

This study examined gender differences in cassava production technology adoption and the impact on poverty status of farming households in southwest, Nigeria. The data were collected with the aid of structured questionnaire through a multistage sampling technique. The data were analyzed using Propensity Score Matching, descriptive statistics and Foster-Greer-Thorbecke weighted poverty index. Out of the 482 households, 387 with similar characteristics were used in the analysis. Adoption level was 26% higher among male adopters than their female counterparts. Adoption was significantly influenced by gender, participation in off-farm activities, distance to market, land area cultivated, years of farming experience, access to credit, cassava yield and level of education. The impact of the improved technology on the headcount index of the male (12.57%) was higher than female adopters (5.62%). This suggests that cassava improved production technology is poverty reducing, however, gender sensitivity should be incorporated into technology adoption and enabling environment should be provided to enhance participation of women.

Suggested Citation

  • Obisesan, Adekemi, 2014. "Gender Differences In Technology Adoption And Welfare Impact Among Nigerian Farming Households," MPRA Paper 58920, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:58920
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    References listed on IDEAS

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    1. 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.
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    2. Edeh, Hyacinth & Mavrotas, George, 2018. "Welfare Effect of Urea Deep Placement (UDP) Technology Adoption among Smallholder Rice Farmers in Kwara State, Nigeria – Analysis of a Randomized Control Trial Experiment," 92nd Annual Conference, April 16-18, 2018, Warwick University, Coventry, UK 273493, Agricultural Economics Society.
    3. Loos, T. & Sariyev, O. & Zeller, M., 2018. "The effect of gendered decision-making considering all household members on the adoption of crop rotation and livelihood outcomes in Ethiopia," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277120, International Association of Agricultural Economists.
    4. Ernest Etim & Olawande Daramola, 2023. "Investigating the E-Readiness of Informal Sector Operators to Utilize Web Technology Portal," Sustainability, MDPI, vol. 15(4), pages 1-28, February.
    5. Wongnaa, Camillus Abawiera & Kyei, Afrane Baffour & Apike, Isaac Akurugu & Awunyo-Vitor, Dadson & Dziwornu, Raymond K., 2021. "Perception and Adoption of Artificial Pollination Technology in Cocoa Production: Evidence from Ghana," 2021 Conference, August 17-31, 2021, Virtual 314939, International Association of Agricultural Economists.
    6. Gideon Danso-Abbeam & Gilbert Dagunga & Dennis Sedem Ehiakpor, 2019. "Adoption of Zai technology for soil fertility management: evidence from Upper East region, Ghana," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 8(1), pages 1-14, December.
    7. Daniel S. Akoto & Manfred Denich & Samuel T. Partey & Oliver Frith & Michael Kwaku & Alex A. Mensah & Christian Borgemeister, 2018. "Socioeconomic Indicators of Bamboo Use for Agroforestry Development in the Dry Semi-Deciduous Forest Zone of Ghana," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    8. Aparo, Nathaline Onek & Odongo, Walter & De Steur, Hans, 2022. "Unraveling heterogeneity in farmer's adoption of mobile phone technologies: A systematic review," Technological Forecasting and Social Change, Elsevier, vol. 185(C).
    9. Dube, Biru Gelgo, 2016. "Analysis Of Determinants Of Adoption Of Organic Fertilizer And Its Effect On Smallholder Farmers Income In Shashemene District, Ethiopia," Research Theses 265573, Collaborative Masters Program in Agricultural and Applied Economics.
    10. Chilemba, Joanna & Ragasa, Catherine, 2018. "The impact of a farmer business school program on incomes of smallholder farmers: Insights from central Malawi," MaSSP working papers 23, International Food Policy Research Institute (IFPRI).
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    More about this item

    Keywords

    Gender; Technology adoption; Poverty; Cassava; Nigeria;
    All these keywords.

    JEL classification:

    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • Q16 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - R&D; Agricultural Technology; Biofuels; Agricultural Extension Services

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