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Open AccessJournal ArticleDOI

Determinants of Agricultural Technology Adoption: The Case of Improved Highland Maize Varieties in Toke Kutaye District, Oromia Regional State, Ethiopia

Dawit Milkias, +1 more
- 09 Oct 2018 - 
- Vol. 7, Iss: 4, pp 125
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TLDR
In this paper, determinants of adoption and intensity of adoption of improved highland maize varieties were investigated by using descriptive statistics and econometric model (Tobit), two stage sampling procedure was followed in order to draw 150 sample respondents.
Abstract
Improved highland Maize is a new and promising crop gradually becoming important in Ethiopian highlands. Its production is rapidly increasing where it has been a minor crop in the past. The empirical evidences on the determinants of agricultural technology adoption and their intensity of adoption are very limited. In this paper, determinants of adoption and intensity of adoption of improved highland maize varieties were investigated by using descriptive statistics and econometric model (Tobit). Two stage sampling procedure was followed in order to draw 150 sample respondents. The model result revealed that variables such as farm size, household income, access to credit, contact with extension agents, participation in training, and field day were positively and significantly influenced whereas, age of household and market distance negatively influenced adoption and intensity of use of improved highland maize varieties in the study area. Therefore, government policies and intervention on adoption and intensity use of agricultural technology should pay attention and move along with those variables significantly influencing adoption and intensity of use of new agricultural technology.

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Journal ArticleDOI

Determinants of agricultural technology adoption in Ethiopia: A meta-analysis

TL;DR: In this article, a way of fostering smallholder farmers' agricultural productivity through encouraging agricultural technology adoptions is proposed, however, agricultural technology adoption remains very low in Ethiopia, and the adoption rate remains low.
Journal ArticleDOI

Perception and determinants of agricultural technology adoption in North Shoa Zone, Amhara Regional State, Ethiopia

TL;DR: In this paper, the authors called the modernization of the agricultural sector to derive development is critical and urgent in relieving majority of the poor out of poverty trap, and this in turn calls the modernization in the agricul...
Journal ArticleDOI

Factors Affecting High Yielding Teff Varieties Adoption Intensity by Small Holder Farmers in West Showa Zone, Ethiopia

Dawit Milkias
TL;DR: In this paper, the authors describe the socio-economic characteristics of households growing high yielding teff varieties; and investigate the factors influencing intensity of adoption of high-yielding teff by small holder farmers in the study area.
Book ChapterDOI

Ex-Ante Analysis of Adoption of Introduced Chicken Strains Among Smallholder Farmers in Selected Areas of Tanzania

TL;DR: The results indicate that the peak for adoption is likely to be 34, 29 and 38% after 8, 7 and 9 years in Bahi, Ifakara and Wanging’ombe sites respectively.
References
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Adoption of agricultural innovation in developing countries : a survey (revised)

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Journal ArticleDOI

The Uses of Tobit Analysis

TL;DR: The authors showed that the coefficients obtained from using Tobit-here called "beta" coefficients -provide more information than is commonly realized and showed that this decomposition can be quantified in rather useful and insightful ways.
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Introduction to Econometrics

TL;DR: In this article, a simple regression model with time series data and OLS asymptotics is presented. But the model is not suitable for the analysis of large datasets and it does not have the ability to handle large numbers of variables.
Posted Content

Social Networks and Technology Adoption in Northern Mozambique

TL;DR: In this paper, the authors analyse whether and how individual adoption decisions depend upon the choices of others in the same social networks. And they show that the relationship between the probability of adoption and the number of known adopters is shaped as an inverse-U.
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Do proposal for determinant of modern agricultural technology adoption of maize production?

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Which country has the best agricultural technology?

Therefore, government policies and intervention on adoption and intensity use of agricultural technology should pay attention and move along with those variables significantly influencing adoption and intensity of use of new agricultural technology.