TITLE:
Improving Selected Vegetable Productivity in the Coastal Lowland of Cameroon
AUTHORS:
Elise Stephanie Mvodo Meyo, Thierry Rostand Tchachue Yebchue, Nathanel Ndaghu Ndonkeu, Ernest Lythia Molua
KEYWORDS:
Vegetable Productivity, Input Use, Ordered Logistic Regression, Coastal Lowland
JOURNAL NAME:
Agricultural Sciences,
Vol.17 No.6,
June
25,
2026
ABSTRACT: This study analyses the productivity of selected vegetable farmers within three communities in the coastal lowland area of Cameroon. A multistage sampling technique was used to collect primary data from a cross-section of four vegetables, namely tomato, pepper, cucumber, and okra farmers. Ordered logistic regression was used to examine constraints to productivity and their relationship with yield in vegetable farming. Results revealed that a good proportion of respondents strongly agree that poor post-harvest practices constitute a constraint to productivity by 5.3%. Similarly, as the trend in poor marketing facilities increases, it increases farmers’ strong agreement as a constraint to productivity by 3.4%. Results also showed that farmers perceive lack of credit facilities as a significant constraint to productivity in vegetable farming. Findings suggest that appropriate mechanisms for post-harvest practices, proper management of marketing facilities, and credit will improve productivity in vegetable farming in Cameroon.