인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Abstract Agriculture in Tanzania faces the dual challenge of ensuring food security and improving rural incomes, yet many smallholder farmers remain trapped in low-return monocropping systems that undermine soil health and long-term sustainability. Agroforestry has been promoted as a viable alternative, but evidence on its financial performance compared to monocropping remains limited. This study examines the comparative profitability of agroforestry specifically the Acacia albida–pigeon pea intercrop and continuous monoculture systems in Kilombero District, Tanzania. The analysis focuses on cost structures, revenue generation, and overall financial sustainability. A cross-sectional research design was adopted, involving 394 households selected through purposive and random sampling methods. Data were analyzed using gross margin analysis and linear multiple regression models to assess profitability determinants. Results show that the Acacia albida–pigeon peas agroforestry system outperforms continuous monocropping in terms of financial returns. Agroforestry yielded higher total revenue (152.3 USD) and gross margin (76.6 USD) compared to continuous monocropping (133.4 USD and 50.1 USD, respectively). Additionally, profitability and efficiency ratios indicate superior economic viability for the agroforestry system, demonstrated through higher total revenue, gross margins, and profitability ratios. While factors such as source of finance and labor type significantly influenced continuous monocropping profitability, no significant profitability determinants were identified for agroforestry. The study highlights the financial and ecological advantages of integrating Acacia albida with pigeon peas, reinforcing the role of agroforestry in promoting sustainable livelihoods and resilience among smallholder farmers in Tanzania.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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