Determinants for adoption of nature-based income generating activities in Uluguru mountains, Tanzania

Abstract

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 independent 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.

Keywords

• Uluguru mountains
• Generalized linear binary probit
• Manova
• Discriminant function analysis
• Nature-based Income-generation