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Quantifying the impact of agricultural technology usage on intra-household time allocation: Empirical evidence from rice farmers in Ghana

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  • Addison, Monica
  • Ohene-Yankyera, Kwasi
  • Aidoo, Robert

Abstract

The use of improved agricultural technologies that lead to improved productivity, income and food security, could also destabilize intra-household time allocation. Using primary data from 917 rice farmers in Ashanti and Upper East Regions of Ghana, this paper employs a two-stage Bourguignon, Fournier, and Gurgand (BFG) selection bias correction model to quantify the impact of improved rice production technologies on intra-household time allocation. The empirical results indicate that farmers who take up improved rice technologies (fertilizer and improved rice seed) tend to increase labour input in farm work by 13.93 h per week. This has implications for the amount of time available for domestic work and leisure, especially for women in typical rice farming household. The design and development of technological innovations in the agricultural sector should take serious account of the domestic workload of women in farming communities to improve intensity and sustainability of use for both men and women.

Suggested Citation

  • Addison, Monica & Ohene-Yankyera, Kwasi & Aidoo, Robert, 2020. "Quantifying the impact of agricultural technology usage on intra-household time allocation: Empirical evidence from rice farmers in Ghana," Technology in Society, Elsevier, vol. 63(C).
    • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20307491
    DOI: 10.1016/j.techsoc.2020.101434
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    Cited by:

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    2. Ying Wang & Shudong Zhou & Guanghui Jiang, 2023. "Can the Application of Environmentally Friendly Fertilisers Reduce Agricultural Labour Input? Empirical Evidence from Peanut Farmers in China," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    3. Adam, Lukman & Jin, Jia & Khan, Anwar, 2022. "Does the Indonesian farmer empowerment policy enhance the professional farmer? Empirical evidence based on the difference-in-difference approach," Technology in Society, Elsevier, vol. 68(C).
    4. Kun Song & Yu Tang & Dungang Zang & Hua Guo & Wenting Kong, 2022. "Does Digital Finance Increase Relatively Large-Scale Farmers’ Agricultural Income through the Allocation of Production Factors? Evidence from China," Agriculture, MDPI, vol. 12(11), pages 1-15, November.
    5. Sanchis, Raúl G., 2023. "Towards a general equilibrium theory of allocation of time for the digital revolution era," Technology in Society, Elsevier, vol. 72(C).

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    More about this item

    Keywords

    BFG; Gender studies; Ghana; Agricultural innovations; Intra-household time allocation;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • J08 - Labor and Demographic Economics - - General - - - Labor Economics Policies
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development
    • 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
    • Q55 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environmental Economics: Technological Innovation

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