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Agronomy
Volume 12
Issue 3
10.3390/agronomy12030691
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Article

How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico

by
Janet Molina-Maturano
1,
Nele Verhulst
2,*,
Juan Tur-Cardona
1,
David T. Güerena
2,3,
Andrea Gardeazábal-Monsalve
2,
Bram Govaerts
2,4,
Hans De Steur
1 and
Stijn Speelman
1
1
Department of Agricultural Economics, Faculty of Bioscience Engineering, Ghent University, 259000 Ghent, Belgium
2
International Maize and Wheat Improvement Center (CIMMYT), El Batan, Texcoco 56237, Mexico
3
Big Data Platform for Agriculture, The Alliance of Bioversity and the International Center for Tropical Agriculture (CIAT), The Americas Hub, Cali 763537, Colombia
4
Cornell University, Ithaca, NY 14850, USA
*
Author to whom correspondence should be addressed.
Agronomy 2022, 12(3), 691; https://doi.org/10.3390/agronomy12030691
Submission received: 22 January 2022 / Revised: 25 February 2022 / Accepted: 28 February 2022 / Published: 12 March 2022
(This article belongs to the Section Precision and Digital Agriculture)
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Abstract

Mobile phone apps can be a cost-effective way to provide decision support to farmers, and they can support the collection of agricultural data. The digitisation of agricultural systems, and the efforts to close the digital divide and to include smallholders, make data ownership and privacy issues more relevant than ever before. In Central and South American countries, smallholders’ preferences regarding data licenses and sharing have largely been ignored, and little attention has been paid to the potential of nonfinancial incentives to increase the uptake of digital solutions and participation by farmers. To investigate incentives for smallholder farmers to potentially use an agricultural advisory app in which they share their data, a Discrete Choice Experiment was designed. Based on a survey of 392 farmers in Mexico, preferences for attributes related to its usage were revealed using a conditional logit (CL) model. To explore heterogeneity, groups and profiles were explored through a latent class (LC) model. The CL model results revealed, for example, farmers’ positive preference to receive support at first use and access to training, while negative preference was found for sharing data with private actors. The LC identified three classes which differ in their preference for attributes such as the degree of data sharing. Furthermore, for example, a farmer’s connectedness to an innovation hub was found to be one of the significant variables in the class membership function. The main contribution of the study is that it shows the importance of nonfinancial incentives and the influence of data sharing on farmer preferences.
Keywords: discrete choice experiment; smallholder farmer; innovation hub; data ownership; preferences; data privacy; extension services; Mexico discrete choice experiment; smallholder farmer; innovation hub; data ownership; preferences; data privacy; extension services; Mexico

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MDPI and ACS Style

Molina-Maturano, J.; Verhulst, N.; Tur-Cardona, J.; Güerena, D.T.; Gardeazábal-Monsalve, A.; Govaerts, B.; De Steur, H.; Speelman, S. How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico. Agronomy 2022, 12, 691. https://doi.org/10.3390/agronomy12030691

AMA Style

Molina-Maturano J, Verhulst N, Tur-Cardona J, Güerena DT, Gardeazábal-Monsalve A, Govaerts B, De Steur H, Speelman S. How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico. Agronomy. 2022; 12(3):691. https://doi.org/10.3390/agronomy12030691

Chicago/Turabian Style

Molina-Maturano, Janet, Nele Verhulst, Juan Tur-Cardona, David T. Güerena, Andrea Gardeazábal-Monsalve, Bram Govaerts, Hans De Steur, and Stijn Speelman. 2022. "How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico" Agronomy 12, no. 3: 691. https://doi.org/10.3390/agronomy12030691

APA Style

Molina-Maturano, J., Verhulst, N., Tur-Cardona, J., Güerena, D. T., Gardeazábal-Monsalve, A., Govaerts, B., De Steur, H., & Speelman, S. (2022). How to Make a Smartphone-Based App for Agricultural Advice Attractive: Insights from a Choice Experiment in Mexico. Agronomy, 12(3), 691. https://doi.org/10.3390/agronomy12030691

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