While forests’ contribution to rural livelihoods has been unearthed scientifically, the patterns, determinants and forest conservation policy implications of livelihood diversification still beg for more scientific and policy edification. This paper makes a contribution in this regard, using household data (N = 200) from eight villages around the Kilum-Ijim Forest Landscape of Cameroon. The ordinary least square and the logit model are used to explore the determinants of livelihood diversification and the likelihood of forest dependence, respectively. The diversification patterns were analysed using a simple t-test, and the multinomial logit for conservation choices. We find that forest-related activities are a source of livelihood diversification for 63% of households, with non-timber forest products (NTFP) domestication (31%) and medicinal plant extraction (30%) being the most preferred. For non-forest activities, migration is the most preferred diversification strategy. Generally, households with favourable socio-economic status prefer non-forest to forest activities for livelihood diversification. The regression estimates indicate that older respondents are more likely to depend on the forest than the young, whereas males and individuals with at least some secondary education are less likely than their respective counterparts to rely on the forest. The results also suggest those who participated in training, educated household heads and older individuals are significantly more likely to choose high-valued diversification strategies. Concerning conservation activities, households with favourable socio-economic status are on average less likely to adopt NTFP domestication and more likely to adopt bee-keeping as a conservation choice. The results suggest the need for policy considerations to: (i) effectively integrate women in forest management processes, (ii) intensify trainings for conservation-friendly diversification approaches, (iii) regulate unclean energy use and (iv) encourage value chain improvement for conservation-friendly products.
Ecotourism is increasingly accepted as a suitable alternative for sustaining rural livelihoods. In spite of this trend, quantitative assessments of relationships between household assets and ecotourism choices, and the policy implications thereof, currently account for only a negligible number of studies in sub-Saharan Africa. This paper contributes to this evidence gap by analyzing the extent to which households’ assets drive ecotourism choices on a representative sample of 200 households in Cameroon. The Principal Component Analysis (PCA) and the Human Development Index (HDI) were used to construct indices for ecotourism choices. The ordinary least square and logit models were also employed to estimate the effect of various household assets on ecotourism choices. A high preference was observed for the production and sale of arts and crafts items and the promotion of cultural heritage sites as key ecotourism choices. More women are found to participate in conservation education, as opposed to culture-related activities such as arts and crafts. Access to education and training were inversely related to cultural festival promotion. The results suggest the need to: (i) stem the overdependence on conservation sites for wood supply to the arts and crafts sector, (ii) enforce endogenous cultural institutional regulations, including those that increase female participation in guiding future ecotourism choices. This paper contributes to ecotourism development and conservation theory, with regards to unbundling household level predictors of ecotourism choices, and has implications on the design of policies to implement environmentally less-demanding ecotourism activities.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.