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PRIZREN SOCIAL SCIENCE JOURNAL
Article . 2024 . Peer-reviewed
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PRIZREN SOCIAL SCIENCE JOURNAL
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PRIZREN SOCIAL SCIENCE JOURNAL
Article . 2024
License: CC BY NC ND
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A BINARY ANALYSIS OF FACTORS INFLUENCING CONSUMERS’ PREFERENCE BETWEEN RAW AND MIXED MONSONIA BURKEANA (SPECIAL TEA) IN THE CAPRICORN DISTRICT MUNICIPALITY

Authors: Lesetja Jacob LEDWABA; Sylvia Sibongile TEKANA; Michael Akani ANTWI; Jenny MOKHAUKHAU; Tshephi Kingsley THABA;

A BINARY ANALYSIS OF FACTORS INFLUENCING CONSUMERS’ PREFERENCE BETWEEN RAW AND MIXED MONSONIA BURKEANA (SPECIAL TEA) IN THE CAPRICORN DISTRICT MUNICIPALITY

Abstract

This paper assessed the consumer preference between raw and mixed Special tea as well as the factors influencing consumer preference. A snowball sampling approach was used to select 225 respondents from the Capricorn District Municipality. Descriptive statistics and the Binary logistic model were used to analyse the collected data. The results show that most of the consumers are not willing to pay for an already prepared Special tea (69.3%). Most of the consumers preferred raw Special tea (51%) over mixed Special tea (49%). The binary logistic regression results revealed that willingness to pay for raw and mixed Special tea, accessibility of special tea, level of satisfaction in using the tea for health reasons and access to medicinal plants market were found to influence consumer preference. The study recommends the importance of having access to special tea either through established markets or protected areas for harvesting.

Keywords

Social sciences (General), H1-99, Special Tea, Preference, Medicinal Plants, Consumers, Binary Logistic Model.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold