Effects of digital agriculture solutions on smallscale wage workers and employment
Bibliographic Data
| ID | 22110528 |
|---|---|
| Authors | Licarion Kunwedomo Miine (0009-0004-6021-1210, University of Cape Coast, corresponding author), Angela Dziedzom Akorsu (0000-0001-7704-6099, University of Cape Coast), Owusu Boampong (University of Cape Coast), Shaibu Bukari (0000-0003-2198-7089, University of Cape Coast) |
| Year | 2024 |
| Volume | 10 |
| Issue | 1 |
| Publication date | 2024-12-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cogent Social Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2331-1886 • E-ISSN: 2331-1886 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/23311886.2024.2329782 |
| OpenAlex | W4393390563 |
| Language | EN |
| References cited | 69 |
The study examined how the use of digital agriculture solutions affected farm worker pay and on-farm employment. Data gathered, was from 1,199 randomly sampled Small-scale farmers in the Bono East Region of Ghana. To account for potential selection bias resulting from unobservable factors that can influence the adoption of digital agriculture solutions, an endogenous switching regression model was employed. The results show that farmer demographic characteristics (age), farm characteristics (farm size and contract with employees), and institutional support services (group membership, access to training, access to credit and access to agricultural extension services) influence the adoption of digital agricultural solutions by Small-scale farmers in the Bono East region. We provide evidence that a high household income, a large farm size, access to information and participation in FBOs encourage farmers to employ more farm workers and pay higher wages. The study reveals that digital agricultural solutions have the potential to reduce the number of farm workers employed by 52% as well as reduce the amount of wages paid farm workers by 2%. The findings suggest the need for government and development partners to devise strategies that would increase the financial endowment of households and Farmers by making credit more available, expanding the availability of farmers productive resources like land, and increasing household income through livelihood diversification strategies. This move can enhance the use of digital farming technologies and empower farmers to increase on-farm employment and wages
Agriculture · Business · Economics · Farm workers · Geography · Labour economics · Wage · Energy and Environmental Systems · Impact of AI and Big Data on Business and Society · Korean Urban and Social Studies
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Quantifying the Income-Increasing Effect of Digital Agriculture
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Broadband for a sustainable digital future of rural communities
Quantifying Spillover Effects from Large Land-based Investment
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Gender differences in technology adoption and agricultural productivity
Large-Scale Agricultural Investments and Smallholder Welfare
Quick Money and Power
Value-chain Agriculture and Debt Relations
| Citation velocity | historical |
|---|---|
| Highly cited | No |