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 Background The need for adopting improved rice technologies and practices has become more important in Ethiopia as the national self-sufficiency gap has increased. This article examines the adoption level and factors governing the adoption of improved rice technology packages and practices using data collected from 594 rice-producing household heads in Ethiopia. A multivariate probit (MVP) model involving a system of five equations was used to assess the determinant for the decision to adopt improved rice technologies and practices. Results The results showed that the adoption levels of improved rice varieties, row planting, recommended rate of urea fertilizer, recommended rate of DAP/NPS fertilizer, and recommended weeding frequency was 24.4%, 23.4%, 40.9%, 38.6%, and 52.4%, respectively. The model results attested that improved rice production technology packages are complementary. This finding implies that farm-level policies that affect the use of one improved agricultural technology can have a positive effect on the other technologies. The various demographic, socioeconomic, and institutional variables were found to influence the decisions to adopt different technologies of improved rice technology packages with different signs. Conclusions Therefore, the government should devise ways to ease the accessibility of improved seeds and fertilizers along with the introduction of labor-saving technologies to promote row planting and achieve wider adoption of the technologies. Policies and interventions that are informed about such factors are required to accelerate the adoption of improved rice technology packages in Ethiopia to realize green revolution and secure self-sufficiency of rice sustainably.
#Multivariate probit model
#Probit model
#Agriculture
#Emerging technologies
#Business
#Government (linguistics)
#Agricultural science
#Socioeconomic status
#Sustainability
#Agricultural machinery
#Ordered probit
#Agricultural economics
#Multivariate statistics
#Economics
#Mathematics
#Geography
#Computer science
#Environmental science
#Population
#Environmental health
#Statistics
#Medicine
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