Journal Article
Despite the wide recognition of the potential for Nature-based Income Generating Activities (NIGAs) to enhance
livelihoods and nature conservation in fragile agro-ecologies of mountain areas, certain aspects that discourage
or inspire their adoption remain poorly understood. We investigated the determinants for adoption of NIGAs in
Uluguru Mountains using the Generalized Linear Binary Probit model. We also used the Multivariate Analysis of
Variance (MANOVA) and Discriminant Function Analysis (DFA) to find out whether our pre-selected indepen-
dent variables significantly influenced the adoption of NIGAs. We underscore the need to address gender-based
disparities in access to land and financial resources through the establishment of tailor-made financing schemes
to promote the adoption of NIGAs.