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Impacts of Adoption of Improved Wheat Technologies on Households' Food Consumption in Southeastern Ethiopia

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  • Mulugeta, Tsegaye
  • Hundie, Bekele

Abstract

This study aims at shedding light on the potential impact of agricultural technology adoption on household food consumption status. The analysis is based on the data collected from randomly selected 200 farm households in Southeast Ethiopia. Since the process of technology adoption usually involves non-random placement of adopters, we employed a propensity score matching method to avoid bias arising from possible self-selection. The results show that adoption of improved wheat technologies has a robust and positive effect on farmers food consumption per adult equivalent per day. The Average Treatment Effect on the Treated (ATT), based on three estimation algorithms, ranges from 377.37 calories per day to 603.16 calories per day which indicates that efforts to disseminate existing wheat technologies will highly contribute to food security among farm households.

Suggested Citation

  • Mulugeta, Tsegaye & Hundie, Bekele, 2012. "Impacts of Adoption of Improved Wheat Technologies on Households' Food Consumption in Southeastern Ethiopia," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 126766, International Association of Agricultural Economists.
    • Handle: RePEc:ags:iaae12:126766
    DOI: 10.22004/ag.econ.126766
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    References listed on IDEAS

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    1. 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.
    2. Pedro Sanchez & Glenn Denning & Generose Nziguheba, 2009. "The African Green Revolution moves forward," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 1(1), pages 37-44, February.
    3. 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.
    4. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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    Cited by:

    1. Nyang'au, Paul Nyamweya, 2018. "Impact Of Integrated Pest Management Technology On Food Security Among Mango Farmers In Machakos County, Kenya," Research Theses 276453, Collaborative Masters Program in Agricultural and Applied Economics.
    2. Nyangau, Paul & Muriithi, Beatrice & Irungu, Patrick & Nzuma, Jonathan & Diiro, Glacious, 2017. "Assessing the impact of integrated pest management (IPM) technology for mango fruit fly control on food security among smallholders in Machakos County, Kenya," 91st Annual Conference, April 24-26, 2017, Royal Dublin Society, Dublin, Ireland 258650, Agricultural Economics Society.
    3. Olarinde, Luke O. & Ayanwale, Adeolu B. & Oladunni, Olufemi A. & Nokoe, Kaku S. & Adekunle, Adewale A. & Fatunbi, Oluwole, 2013. "The Integrated Agricultural Research for Development (IAR4D) and its Impacts on marketed crops: Data Analysis of the Kano-Katsina-Maradi Pilot Learning Site," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 161450, African Association of Agricultural Economists (AAAE).
    4. Nyang’au, Paul Nyamweya & Nzuma, Jonathan & Irungu, Patrick & Muriithi, Beatrice, 2018. "A Thesis Submitted In Partial Fulfillment Of The Requirements For The Award Of A Master Of Science Degree In Agricultural And Applied Economics, University Of Nairobi," Dissertations and Theses 276387, University of Nairobi, Department of Agricultural Economics.

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    Keywords

    Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Research Methods/ Statistical Methods;
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