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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

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Daily Overview

Session

Egg-Timer: Water and Agriculture
Location: D-106
Session Chair: Luoye Chen, Hong Kong University of Science and Technology (Guangzhou)

Presentation 7

Informed Decision-Making on Water Conservation Practices: The Role of Smallholder Farmers' Simultaneous Information Access in the Limpopo Province of South Africa

Alfred Tunyire Apio¹, Djiby Racine Thiam², Selma Tuemumunu Karuaihe³, Ariel Dinar⁴

1: University of Pretoria, South Africa; 2: University of Cape Town, South Africa; 3: University of Pretoria, South Africa; 4: University of California, Riverside, USA

Access to agricultural information is crucial in driving the adoption of sustainable agricultural practices (SAPs). This paper investigates smallholder farmers’ simultaneous information access to shape decision-making on water conservation practices (WCPs) in the Limpopo River Basin of South Africa. Using six agricultural information sources (AISs)—agricultural extension officers (AEOs), farmer-to-farmer, mobile phones, social media, television (TV), and radio—we estimate a multivariate probit model to understand their interconnectedness (substitutes or complements) in shaping farmers’ decision-making on adopting WCPs. However, for the intensity of their use, an ordered probit model is estimated. The results show significant bundling of farmer-to-farmer and AEOs, mobile phones and AEOs, radio and AEOs, mobile phones and TVs, mobile phones and social media, radio and social media, and radio and mobile phone sources. Our results further show that gender, age, education, and farm size, among other factors, induce the probability and extent of use of AISs. Accordingly, we advocate that to enhance farmers’ ability to make informed decisions on WCPs, integrated information delivery and support systems should be developed to combine multiple AISs. This would enhance farmers' decision processes.