Producers’ Perceptions on the Digitalization of Cotton Production in the Municipality of Banikoara in Northwestern Benin
Abstract
Precision agriculture is experiencing remarkable growth in developing countries. Although a majority of producers have adopted digital technologies, many do not have a good perception. This study examined the case of cotton producers in Northern Benin. In this context, a survey was carried out among 314 cotton producers in the Municipality of Banikoara. The proportion of cotton farmers surveyed having a positive perception of the usefulness of digitalization and the internet in cotton growing, the ease of use of digital technologies, the strengthening of social ties, satisfaction with services mobile money and security was higher than those who have a negative perception. However, a high proportion of cotton producers (63.69%) did not express an opinion on the level of security of digital platforms, and this trend was persisted regardless of gender, age, level of education and the area of cultivated land. Women (100%) had a more positive perception of the ease of use, satisfaction with mobile money services, and strengthening of social ties compared to men, except in terms of the usefulness of digitalization and the internet, where men (91.38%) were more represented than women (87.50%). Highly educated individuals (university level) had a higher percentage of positive perceptions of digital agricultural technologies, and uneducated individuals (100%) found these technologies easy to use and useful. This was also true for adult users of agricultural machinery (30 to 50 years old), except in terms of ease of use, where younger users (under 30) were more represented. Small-scale farmers (less than 5 hectares) dominated other producers in positive perceptions related to the usefulness of digitalization and the internet and the strengthening of social ties, while medium-scale producers (5 to 10 hectares) were the majority in terms of ease of use and satisfaction with mobile money services. Knowledge of this information is important for a better popularization policy for these technologies.
References
ACED. (2023). Écosystème de l’agriculture numérique au Bénin : Une analyse de l’environnement institutionnel, des solutions numériques et des acteurs. Rapport de recherche. Abomey-Calavi, Bénin, pp. 46. https://www.acedafrica.org
Adesina, A. A. & Baidu-Forson, J. (1995). Farmers’ perceptions and adoption of new agricultural technology: evidence from analysis in Burkina Faso and Guinea, West Africa. Agricultural Economics, 13(1), 1-9.
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
Assande, A. (2011). Variables comportementales du consommateur de préservatifs : L'approche par la théorie du comportement planifié. La revue des Sciences de Gestion, 252, 99-107.
Bocqueho, G., Jacquet, F., & Reynaud, A. (2011). Expected utility or prospect theory maximizers? Results from a structural model based on field-experiment data. XIIIth Congress of the European Association of Agricultural Economists, Zurich (Switzerland), August.
Bontsa, N.V., Mushunje, A., & Ngarava, S. (2023). Factors Influencing the Perceptions of Smallholder Farmers towards Adoption of Digital Technologies in Eastern Cape, Province, South Africa. Agriculture, 13, 1471. https://www.mdpi.com/journal/agriculture
Caffaro, F., Micheletti Cremasco, M., Rocato, M., & Cavallo, E. (2020). Drivers of farmers’ intention to adopt technological innovations in Italy: The role of information sources, perceived usefulness, and perceived ease of use. J. Rural Stud, 76, 264–271.
Cavallo, E., Ferrari, E., Bollani, L., & Coccia, M. (2014). Attitudes and behaviour of adopters of technological innovations in agricultural tractors: A case study in Italian agricultural system. Agric. Syst., 130, 44–54.
Côté, F. & Godin, G. (2006). Le changement planifié des comportements liés à la santé. Dans CarroI, G. et al. Pratiques en santé communautaire (pp. 129-139). Québec: Éditions de la Chenelière,.
CTA. (2021). The Digitalisation of African Agriculture Report, 2018-2019, https://cta.int/en/digitalisation-agriculture-africa.html
Da Silveira, F., da Silva S. L. C., Machado, F. M., Barbedo, J. G. A., & Amaral, F. G. (2023). Farmers’ perception of barriers that difficult the implementation of agriculture 4.0. Agric. Syst., 208, 103656.
Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 1111-1132.
FAO; ITU. (2022). Status of Digital Agriculture in 47 Sub-Saharan African Countries; FAO: Rome, Italy.
Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Addison-Wesley Publishing Company, New-York.
Frini, A. & Limayem, M. (2001). Facteurs influençant les intentions d’achat à partir du Web: Etude comparative des acheteurs et des non acheteurs. Actes de l’AIM, pp. 1-11.
Godin, G. (1991). L'éducation pour la santé: Les fondements psychosociaux de la définition des messages éducatifs. Sciences Sociales et Santé, IX(1). Éditions Érès.
INSAE (2019). Statistiques agricoles de la campagne agricole 2017-2018. 5p.
Kaur, A. & Singh, R. (2021). Perception and Attitude of Agripreneurs toward Social Media Tools for Attaining Agribusiness Benefits. Indian J. Posit. Psychol., 12, 379–384.
Kouboura, A., Djinadou, A., & Acacha, H., V. (2019). Perception des technologies selon le genre. Le cas de la production du niébé au Bénin, Économie rurale, 370, 61-80.
Mcfadden, J., Casalini, F. & Antón, J. (2022). The Digitalisation of Agriculture A Literature Review and Emerging Policy Issues. Oecd Food, Agriculture and Fisheries Paper, April 2022 n°176. https://eulacfoundation.org/system/files/digital_library/2023-07/285cc27d-en.pdf.
Menapace, L., Colson, G., & Raffaelli, R. (2013). Risk Aversion, Subjective Beliefs, and Farmer Risk Management Strategies. American Journal of Agricultural Economics, 95(2), 384-389.
Murage, A, W. Pittchart, J, O, Midega, C.A.O, Onyango, C.O., & Khan, Z.R. (2015). Gender specific perceptions and adoption of the climate-smart pushepull technology in eastern Africa.
Nacambo, P. I. S. (2020). Usages du numérique dans la transition agro-écologique au Bénin. https://docplayer.fr/209492835-Memoire-de-missionprofessionnelle-usages-du-numerique-dans-la-transitionagro-ecologique-au-benin.html.
OECD; FAO. (2016). Agriculture in Sub-Saharan Africa: Prospects and challenges for the next decade. In OECD-FAO Agricultural Outlook 2016–2025 (Vol. 181, pp. 1-95). OECD; FAO: Rome, Italy. ISBN 9789264253223.
Paget, N., Nacambo, I., Fournier, S. & Moumouni-Moussa, I. (2022). Traque des innovations numériques au service de la transition agroécologique au Bénin. Cahiers Agricultures, 31, 13. https://doi.org/10.1051/cagri/2022009
Sall, S., Norman, D., & Featherstone, A. M. (2000). Quantitative assessment of improved rice variety adoption: the farmer’s perspective. Agricultural Systems, 66, 129-144.
Sana, S.S. (2010). Usage des pratiques socioculturelles et politicoinstitutionnelles par les associés des Cabinets d’audit et d’expertise Comptable : Antecedents Et Consequences. La place de la dimension européenne dans la Comptabilité Contrôle Audit, HAL Open Science.
Têtu, I. (2009). Théorie du comportement planifié pour expliquer l'intention des infirmières d'urgence d'agir selon le motif de consultation des personnes utilisatrices de drogues injectables, Mémoire présenté à la Faculté des études supérieures de l'Université Laval dans le cadre du programme de maîtrise en santé communautaire pour l'obtention du grade 'de maître ès sciences (M.Sc.).
Triandis, H.C. (1979). Values, attitudes and interpersonal behaviour », Nebraska Symposium on Motivation: Beliefs, Attitudes and Values. University of Nebraska Press, Lincoln.
Copyright (c) 2024 Saddik ALIDOU, Adoté Hervé Gildas AKUESON, Arcadius Yves Justin AKOSSOU, Afouda Jacob YABI
This work is licensed under a Creative Commons Attribution 4.0 International License.