Abstract:
Inorganic fertilizer is a key input in boosting agricultural production in Ethiopia. Hence, this
study attempted to analyze access to fertilizer not well accessible and information gaps in
Wogera District, Central Gondar zone, Ethiopia. Probability sampling techniques were
employed to select sampled respondents. A total of 150 sample respondents were selected for
interview. In line with this, combinations of data collection techniques were employed to gather
qualitative and quantitative data for the study. Both primary and secondary data were collected
and analyzed using SPSS version 22. Descriptive statistics such as percentage, mean, standard
deviation and inferential statistics like t-test, and x
xv
2
-test were employed to see mean and
percentage difference between both late access and on time access. The result of the study
indicated that about 65% of the sample respondents were late access of inorganic fertilizer,
while 35% accessed the fertilizer on time. Accordingly, the result of the descriptive statics show
that from the total fifteen variables twelve of them show statistically significant with mean
differences at 1%, 5% and 10% level of significance. Binary Logit regression model results
showed that, six (6) variables were found statically significant in the access to inorganic
fertilizer at 1%, 5% and 10% level of significance. Recommendations of the result training was
an important variable for the access of inorganic fertilizer concerned bodies especially,
cooperative experts and agricultural experts. Therefore, the government should give strong
emphasis to support the improvement of access of inorganic fertilizer in the study area
