A multinomial logit model analysis of determinants of community forest management approaches: evidence from northern Ethiopia.

A multinomial logit model analysis of determinants of community forest management approaches: evidence from northern Ethiopia. Abstract For efficient and sustainable forest management, community engagement and participation are crucial. Sustainable forest management requires decision-making, plantation, and management approaches, in addition to the importance of indigenous knowledge and community opinions. The study examined the determinants of community-based forest management practices in Ethiopian Raya-Alamata Woreda. A semi-structured questionnaire was given to 195 randomly chosen sample respondents as part of the survey in order to gather primary data. Additionally, key informants, development agents, woreda forest supervisors, and local administrators were interviewed. Secondary data were gathered from books, woreda agriculture office, and scientific publications. The data was analyzed using a multinomial logit model and descriptive statistics. The results showed that distance to the forest negatively influenced participation in decision-making, while sex, education, and TLU positively influenced it. Age, home proximity to the forest, market distance, and tropical livestock unit negatively influenced participation in plantation. Age, family size, forest location, and association membership positively influenced decision-making and management approaches. To promote all-inclusive forest management, the study recommends the distribution of forestry-related educational materials, legal action against illegal users, switching to alternative energy sources, and encouraging female-headed households. Formats available You can view the full content in the following formats: Indexing Terms Descriptors Identifiers Geographical Location Broader Terms Information & Authors Information Published In 2024 Applicable geographic locations Africa, Ethiopia Copyright Open Access This preprint is distributed under the terms of the Creative Commons CC0 Public Domain Dedication waiver (https://creativecommons.org/publicdomain/zero/1.0/), which permits unrestricted use, distribution, and reproduction in any medium, without asking permission. History Issue publication date: 2024 Submitted: 24 June 2024 Published online: 24 June 2024 Language English Authors Metrics & Citations Metrics SCITE_ Citations Export citation Select the format you want to export the citations of this publication. EXPORT CITATIONSExport Citation View Options View options Login Options Check if you access through your login credentials or your institution to get full access on this article.