Next Article in Journal
Design and Optimization of a Compact Machine for Laying and Pressing Straw Checkerboard Sand Barriers in Desert Areas
Previous Article in Journal
Operating Speed Analysis of a 1.54 kW Walking-Type One-Row Cam-Follower-Type Cabbage Transplanter for Biodegradable Seedling Pots
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Multivariate Probit Model Analysis of the Factors Influencing Smallholder Farmers’ Choice of ICT Tools: A Case Study of Mpumalanga, South Africa

by
Melga Meta Ntsoane
*,
Jorine Tafadzwa Ndoro
and
Ntombovuyo Wayi-Mgwebi
School of Agricultural Sciences, Faculty of Agriculture and Natural Sciences, University of Mpumalanga, Mbombela 1200, South Africa
*
Author to whom correspondence should be addressed.
Agriculture 2025, 15(17), 1817; https://doi.org/10.3390/agriculture15171817
Submission received: 25 June 2025 / Revised: 22 August 2025 / Accepted: 24 August 2025 / Published: 26 August 2025
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)

Abstract

This study examined factors influencing smallholder farmers’ decisions to use Information and Communication Technologies (ICTs) for agricultural information in Mbombela Local Municipality, Mpumalanga, South Africa. Data were collected from 308 respondents through a quantitative cross-sectional survey using a structured questionnaire, with systematic sampling to select participants. Multivariate probit regression identified factors affecting ICT tool choices. Analysis revealed a significant positive relationship between gender, age and language use with smallholder farmers’ preference for using radio. Factors like farm size, off-farm income, and language positively influence the choice of basic cell phones. In contrast, educational level, marital status, and electricity supply negatively influence the choice to use radio and basic cell phones. Network connectivity and ICT awareness positively influence TV use, while household size and ICT costs have a negative effect. Educational level and ICT awareness positively influenced the use of computers and smartphones, whereas age, gender, off-farm income, electricity supply, farm size, household size and network connectivity had a negative influence. When smallholder farmers have access to multiple ICT tools, they can select the most beneficial combination for improving crop productivity. To maximise ICTs’ potential, policymakers should promote inclusive ICT access, awareness and training tailored to farmers’ needs, focusing on affordability, connectivity and literacy to support agricultural information dissemination.
Keywords: ICT; agricultural information; multivariate Probit regression; smallholder farmers; productivity ICT; agricultural information; multivariate Probit regression; smallholder farmers; productivity

Share and Cite

MDPI and ACS Style

Ntsoane, M.M.; Ndoro, J.T.; Wayi-Mgwebi, N. Multivariate Probit Model Analysis of the Factors Influencing Smallholder Farmers’ Choice of ICT Tools: A Case Study of Mpumalanga, South Africa. Agriculture 2025, 15, 1817. https://doi.org/10.3390/agriculture15171817

AMA Style

Ntsoane MM, Ndoro JT, Wayi-Mgwebi N. Multivariate Probit Model Analysis of the Factors Influencing Smallholder Farmers’ Choice of ICT Tools: A Case Study of Mpumalanga, South Africa. Agriculture. 2025; 15(17):1817. https://doi.org/10.3390/agriculture15171817

Chicago/Turabian Style

Ntsoane, Melga Meta, Jorine Tafadzwa Ndoro, and Ntombovuyo Wayi-Mgwebi. 2025. "Multivariate Probit Model Analysis of the Factors Influencing Smallholder Farmers’ Choice of ICT Tools: A Case Study of Mpumalanga, South Africa" Agriculture 15, no. 17: 1817. https://doi.org/10.3390/agriculture15171817

APA Style

Ntsoane, M. M., Ndoro, J. T., & Wayi-Mgwebi, N. (2025). Multivariate Probit Model Analysis of the Factors Influencing Smallholder Farmers’ Choice of ICT Tools: A Case Study of Mpumalanga, South Africa. Agriculture, 15(17), 1817. https://doi.org/10.3390/agriculture15171817

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop