Javascript must be enabled to continue!
Determinants of Multiple Agricultural Technology Adoption: Evidence from Rural Amhara Region, Ethiopia
View through CrossRef
The adoption of agricultural technology is an important path for raising agricultural productivity, and thereby for reducing food insecurity and poverty. Despite the efforts to promote adoption in most of the rural areas of Ethiopian farmers, the adoption rate has always been very low. So, it is essential to understand the barriers to adoption. As a result, this study examined the determinants of adoption of multiple agricultural technologies in rural Amhara region of Ethiopia. The study is based on Ethiopian socio-economic survey of 2015/16. A sample of 656 farm households was considered. The paper used multinomial logit model to assess the factors affecting adoption. The result shows that farmers with more educational level, family size, off-farm participation, livestock, extension contact, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are more likely to adopt new or improved agricultural technology. Therefore, the study recommends the need of policies and interventions on adoption of agricultural technology should pay attention and move along with those variables significantly influencing adoption of agricultural technology.
Title: Determinants of Multiple Agricultural Technology Adoption: Evidence from Rural Amhara Region, Ethiopia
Description:
The adoption of agricultural technology is an important path for raising agricultural productivity, and thereby for reducing food insecurity and poverty.
Despite the efforts to promote adoption in most of the rural areas of Ethiopian farmers, the adoption rate has always been very low.
So, it is essential to understand the barriers to adoption.
As a result, this study examined the determinants of adoption of multiple agricultural technologies in rural Amhara region of Ethiopia.
The study is based on Ethiopian socio-economic survey of 2015/16.
A sample of 656 farm households was considered.
The paper used multinomial logit model to assess the factors affecting adoption.
The result shows that farmers with more educational level, family size, off-farm participation, livestock, extension contact, credit access, advisory service, and farmers closer to plot, all-weather road, zonal town, and farmers with lower remittance income are more likely to adopt new or improved agricultural technology.
Therefore, the study recommends the need of policies and interventions on adoption of agricultural technology should pay attention and move along with those variables significantly influencing adoption of agricultural technology.
Related Results
Diplomatic Claims (Eritrea v. Ethiopia), Eritrea ' s Claim 20/Ethiopia ' s Claim 8, Partial Awards; Economic Loss Throughout Ethiopia (Ethiopia v. Eritrea), Ethiopia ' s Claim 7, Partial Award; Jus ad Bellum (Ethiopia v. Eritrea), Ethiopia ' s Claims 1-8,
Diplomatic Claims (Eritrea v. Ethiopia), Eritrea ' s Claim 20/Ethiopia ' s Claim 8, Partial Awards; Economic Loss Throughout Ethiopia (Ethiopia v. Eritrea), Ethiopia ' s Claim 7, Partial Award; Jus ad Bellum (Ethiopia v. Eritrea), Ethiopia ' s Claims 1-8,
Diplomatic Claims (Eritrea v. Ethiopia), Eritrea's Claim 20/Ethiopia's Claim 8, Partial Awards. At <http://www.pca-cpa.org>.Eritrea Ethiopia Claims Commission, December 19, 2...
Perceptions of Telemedicine and Rural Healthcare Access in a Developing Country: A Case Study of Bayelsa State, Nigeria
Perceptions of Telemedicine and Rural Healthcare Access in a Developing Country: A Case Study of Bayelsa State, Nigeria
Abstract
Introduction
Telemedicine is the remote delivery of healthcare services using information and communication technologies and has gained global recognition as a solution to...
Analysis of the Impact of Agricultural Products Import Trade on Agricultural Carbon Productivity: Empirical Evidence from China
Analysis of the Impact of Agricultural Products Import Trade on Agricultural Carbon Productivity: Empirical Evidence from China
Abstract
To realize the goal of “dual carbon”, China urgently needs to seek the path of low-carbon agricultural development. The existing agricultural trade deficit in Chin...
Volume and Carbon Estimates for the Forest Area of the Amhara Region in Northwestern Ethiopia
Volume and Carbon Estimates for the Forest Area of the Amhara Region in Northwestern Ethiopia
Sustainable forest management requires a continuous assessment of the forest conditions covering the species distribution, standing tree volume as well as volume increment rates. F...
The impact of agricultural production agglomeration on agricultural economic resilience: based on spatial spillover and threshold effect test
The impact of agricultural production agglomeration on agricultural economic resilience: based on spatial spillover and threshold effect test
This study focuses on the role of agricultural production agglomeration in strengthening agricultural economic resilience, exploring the threshold effect of agricultural technologi...
Rainfall and Temperature Climatology over Amhara Region
Rainfall and Temperature Climatology over Amhara Region
Studying spatial variations in rainfall and temperature is crucial for assessing climate-related changes and designing future water resource management strategies and agricultural ...
Determinants of dynamic process of emerging ICT adoption in SMEs – actor network theory perspective
Determinants of dynamic process of emerging ICT adoption in SMEs – actor network theory perspective
PurposeWhile traditional theories of information and communication technology (ICT) adoption have been deployed to study ICT adoption in the past, these theories considers ICT adop...
Factors Influencing Adoption of Agricultural Technologies amongst African Development Bank Community Based Agriculture and Rural Development Project Beneficiaries in Nigeria
Factors Influencing Adoption of Agricultural Technologies amongst African Development Bank Community Based Agriculture and Rural Development Project Beneficiaries in Nigeria
The Nigerian agricultural sector is characterized by low level of technology adoption which in turn contributes to the low agricultural productivity in the country. This is indeed ...

