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Modelling the Record Keeping Behaviour of Cocoa Farmers in Ghana

Bibliographic Data

ID21500616
AuthorsEnoch Kwame Tham-Agyekum (0000-0003-1657-1409, Department of Agricultural Economics, Agribusiness and Extension, KNUST-Kumasi), Stephen Prah (0000-0002-0482-087X, Department of Agricultural Economics, Agribusiness and Extension, KNUST-Kumasi, corresponding author), Camillus Abawiera Wongnaa (0000-0002-1310-551X, Department of Agricultural Economics, Agribusiness and Extension, KNUST-Kumasi), David Boansi (0000-0002-7716-253X, Department of Agricultural Economics, Agribusiness and Extension, KNUST-Kumasi), John-Eudes Andivi Bakang (0000-0002-4980-075X, Department of Agricultural Economics, Agribusiness and Extension, KNUST-Kumasi)
Year2025
Publication date2025-03-28
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInformation Development (JOURNAL)
Journal identifiersISSN: 0266-6669 • E-ISSN: 1741-6469
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/02666669251326954
OpenAlexW4408931499
LanguageEN
References cited12

This study models the record-keeping behaviour of cocoa farmers in order to stimulate well-informed education and sensitization of the practice among cocoa farmers. The paper uses cross-sectional primary data collected from 400 cocoa farmers in Ghana. Descriptive statistics, a triple hurdle econometric strategy, and Kendall’s Coefficient of Concordance were the methods of analysis. The findings reveal that the majority of the cocoa farmers keep farm records. The majority keep records manually. While some farmers maintain records in certain areas, such as production and finance, there are notable gaps in record-keeping for resource inventory, customer records, labour records, farm inventory, climate-related records, and supplementary records. Farmers strongly agree that farm records provide bankers with information about the farm for credit purposes. The results from the first hurdle model show that education, number of farms, access to training, cooperative membership, and extension services have a significant positive effect on the intention to keep records. In the second hurdle model, education, marital status, household size, access to training, cooperative membership, and access to extension services significantly influence this decision to use computerised methods. Further, the results from the third hurdle model reveal that the determinants of intensity to keep records are education, number of farms, access to training, credit, and extension services. Farmers perceive farming more as a hobby or a way of life than a profit-oriented business. This calls for policies that support and promote record-keeping among cocoa farmers

Agricultural economics · Business · Economics · Operations management · Agricultural Innovations and Practices · Agriculture and Rural Development Research · Livestock and Poultry Management · Marketing

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