dc.description.abstract |
The objective of this study is analyzing the impact of technology adoption on wheat productivity
in Dabat woreda, north Gondar zone of Amhara region, Ethiopia. A sample of 348 households
comprised of 174 adopters and 174 non- adopters, were selected by using multistage sampling
procedure from three kebeles found in Dabat woreda. Woken, janbelew and Tenseye were the
selected kebeles wheat productivity cultivated by adopters and non-adaptors in the production
year of 2020/21. The study used descriptive statics such as mean, standard deviation, frequency,
percentage, t-test, and chi-square test methods for data analysis. A parametric estimation of
Propensity Score Matching method and a parametric method of Logit model were employed.
The researcher used a logit model to identify factors affecting adoption of agricultural
technology on wheat productivity. a Propensity Score Matching (PSM) method is also used to
estimate the impact of technology adoption on wheat productivity.
The results revealed that educational status, chemical fertilizer, pesticides, improved seed,
extension contact and access to credit were significantly affect adoption decision of wheat
productivity. The result of impact of wheat row planting, improved seed, fertilizer and pesticides
were technology adoption on wheat productivity shows that, households that used agricultural
technology tend to get more wheat yield relative to from non-adaptors. The study has also
indicated that adopting of technology had a potential of increasing farm household’s income.
Governmental and non-governmental organizations in the study area should give due attention
for adoption of agricultural technology and minimize wheat disease problem in the study area. |
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