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Background: Abortion is a termination of pregnancy before the fetus has become viable, i.e., capable of independent existence once delivered by the mother. The purpose of this study was to assess the prevalence and determinants associated with second trimester termination of pregnancy among the women in the reproductive age. Methods: Cross sectional study, design was conducted from September 1-30, 2020. Eight hundreds thirty-five sample of women with induced abortion complication were used. The data were entered into statistical package and service solutions (SPSS) version 23.0 for cleaning and data analysis. Chi-square test of association was used to test the association between the response variable. Binary logistic regression was employed for variables one by one in bivariate logistic regression to determine the significant association between response variables and predictors at p-value 0.15. A 95% confidence interval (CI) and level of significance less than 0.05 were used to determine statistical significance. Results: The prevalence of second trimester termination of pregnancy in the reproductive Age (15-49 years) was found to be 18.2%. As a result multivariable logistic regression model, women with age category 20-24 years [Adjusted odds ratio(AOR)=2.055, 95% CI=1.102-3.831], age category 30-34 years [AOR=3.084, 95%CI=1.348-7.056] , age category greater than or equal to 35 had adjusted odds ratio(AOR=3.021, 95% CI=1.199-7.610), having safe abortion care (AOR=0.294, 95%CI=0.132-0.656), taking treatment in health care/hospital (AOR=2.385, 95% CI=1.057-5.382) and repeatedly acceptor of post-abortion contraception (AOR=0.533, 95%CI=0.291-0.979) were potential determinants associated with women’s in the reproductive age with second trimester termination of pregnancy. Conclusions: Second trimester termination of pregnancy is strongly affected by age of mother, abortion care, place of managed abortion and post-abortion contraception. Strategies on Antenatal care and task-oriented services should be given to community level about the second trimester medical termination of pregnancy to decrease further complications and maternal mortality.

In Ethiopia, maize is the second largest in production areas and first in its productivity but there are high yield gaps between the actual yield currently producing and the potential yield. Therefore, this study was aimed to identify factors that affecting maize production of smallholder farmers at the farm level in the Meta district in the east Hararge zone, Oromia, Ethiopia. A two-stage random sampling technique was employed and a total of 200 smallholder farmers were randomly and proportionally selected to collect primary data. Multiple linear regression models were used to analysis factors that affect maize production among smallholder farmers. The result showed that the production of maize was influenced by several factors. The coefficient provided that as the farmers obtained 1 dollar from non-farm activity, the maize production of farmers increased by 293.2 kg, keeping other factors constant. Thus, the farmers who had money from non-farm sources used as additional income to gain agricultural inputs for maize production and thus generate more maize quantity. The result was pointed out that the size of the cultivated areas of land had a positive influence on the quantity of maize production of farmers. The coefficient entailed that as the size of the cultivated areas of land increased by one hectare, the farmer’s quantity of maize production increased by 140.4 kg by keeping other factors constant. The result was also indicated that other factors being constant, the maize crop production of smallholder farmers of Meta district was decreased by 4 kg as Development Agent’s (DA’s) office distance increased by one minute. The possible explanation was that extension services were a critical source of information on agronomic practices. Therefore, policy makers should encourage the current maize production and supplying improved seed and chemical fertilizer which support to improve smallholder farm households’ welfare by increasing their sources of income.

Ethiopia’s sesame export earn percentage share in the total export had been rapid declining over the last decades while it was the second commodity in currency grossing of the country. The objective of this study was to examine the determinant factors of Ethiopia’s sesame exports performance, in the aspect of export trade, by the use of a more realistic model approach, a panel gravity model. It used short panel data that cover 11 countries of consistent Ethiopia’s sesame importers for the period of 13 years from 2002 to 2014. The panel unit root test of Levin-Lin-Chu was used for each variable and applied the first difference transformation for the variables that had a unit root. The random effect model results suggested that real gross domestic product of importing countries; Ethiopian real gross domestic product, real exchange rate and weighted distance were found to be the determinant factors of Ethiopia’s sesame exports performance. The estimated results revealed that as real gross domestic product of importing countries increase by 1%, the flows of Ethiopia’s sesame exports performance increase by 1.63%. Based on the finding results, the researcher recommends that the policy maker must adopt the policies that reduce the cost of shipping through improving the infrastructure for shipments sector and contract a free trade agreement with distant countries. The government should encourage the private sector to diversify their products and improving the quality of its products to increase the competitiveness the Ethiopian products in foreign markets.

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