Browsing by Author "Mamo, Getnet"

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Assessment Of Humanitarian Logistics Performance Of Non-Governmental Organizations In The Case Of Save The Children International Ethiopia
    (Addis Ababa University, 2020-07) Mamo, Getnet
    The objective of the study was to assess the humanitarian Logistics performance of Save the Children International Ethiopia this study was also intended to explore and empirically test the possible relationships between factors that can affect the humanitarian logistics performance and the Humanitarian Logistics Performance of the company. The researcher carried out a systematic literature review to identify variables and to design a structured questionnaire. Accordingly the researcher identifies Five Humanitarian Logistics Performance measuring variables of Reliability, Responsiveness, Agility, Cost and Asset management. The researcher conducted an empirical study on a sample of 54 respondents who have experience on humanitarian logistics within the company. The relationships proposed in the framework were tested using Pearson correlation and the hypotheses proposed in the research were also tested using regression analysis. From the result of the analysis it was concluded that there is positive and statistically strong relationship between Humanitarian Logistics Performance factors and humanitarian logistics performances. It is also conclude that the humanitarian logistics practices of the company are well practicing and have a positive effect on the performance. Therefore, In order to become competitive and achieve sustainable performance in disaster relief chain operations, Save the Children Ethiopia should give due attention on the strategies to minimize the effect of those factors and to align the practices to the performance.
  • No Thumbnail Available
    Item
    Determinants of Leather Export From Ethiopia: Application of Vector Error Correction Model
    (Addis Ababa University, 2018-06-06) Mamo, Getnet
    Determinants of leather export from Ethiopia. Application of vector error correction model. Getnet Mamo Addis Ababa, 2018 Leather manufacturing is one of the oldest industry globally and particularly in Ethiopia which has remained and sprung forward as an economically important sector in terms of engaging citizens intensively and in export business. The study is aimed to use a multivariate time series model which explains the determinants of leather export from Ethiopia using vector auto-regression (VAR) and vector error correction (VEC) model. The data used are quarterly observations from September 2000 to august 2016. The variables are value of leather export, export price of leather, consumer price index (endogenous variables) And nominal exchange rate (exogenous variables). The series are seasonally adjusted after they were known to be seasonal through standard tests built in X-12 ARIMA program in E-Views 6 statistical software. Post seasonal adjustment tests also assured that all series are non-seasonal. Unit root tests of the series under study reveal that all the series are non-stationary at level and stationary after first difference. The result of Johansen test indicates the existence of two co-integration relation between the variables and there is long-term dynamics between value of leather export, nominal exchange rate, export price and consumer price index. The three information criteria AIC, SIC and HQ recommended one lag length. Johnsen co-integration test indicated two long term equilibrium relationship occurred between variables. This immediately implied the legitimacy of vector error correction model (VEC) model of order one to be fitted than a pure VAR (1) model for time series data. The final result shows that a Vector Error Correction (VEC) model of lag one with two co-integration equations best fits the data. Export price of leather has a negative effect on value of leather exports. A one percent increase in a unit price of leather export will cause 5.82219 percent decrease in value of leather export in the long run. In the short run Exchange Rate has a negative effect on exports of leather as expected. .
  • No Thumbnail Available
    Item
    Determinants of Leather Export From Ethiopia: Application of Vector Error Correction Model
    (Addis Ababa University, 2018-06-03) Mamo, Getnet
    Determinants of leather export from Ethiopia. Application of vector error correction model. Getnet Mamo Addis Ababa, 2018 Leather manufacturing is one of the oldest industry globally and particularly in Ethiopia which has remained and sprung forward as an economically important sector in terms of engaging citizens intensively and in export business. The study is aimed to use a multivariate time series model which explains the determinants of leather export from Ethiopia using vector auto-regression (VAR) and vector error correction (VEC) model. The data used are quarterly observations from September 2000 to august 2016. The variables are value of leather export, export price of leather, consumer price index (endogenous variables) And nominal exchange rate (exogenous variables). The series are seasonally adjusted after they were known to be seasonal through standard tests built in X-12 ARIMA program in E-Views 6 statistical software. Post seasonal adjustment tests also assured that all series are non-seasonal. Unit root tests of the series under study reveal that all the series are non-stationary at level and stationary after first difference. The result of Johansen test indicates the existence of two co-integration relation between the variables and there is long-term dynamics between value of leather export, nominal exchange rate, export price and consumer price index. The three information criteria AIC, SIC and HQ recommended one lag length. Johnsen co-integration test indicated two long term equilibrium relationship occurred between variables. This immediately implied the legitimacy of vector error correction model (VEC) model of order one to be fitted than a pure VAR (1) model for time series data. The final result shows that a Vector Error Correction (VEC) model of lag one with two co-integration equations best fits the data. Export price of leather has a negative effect on value of leather exports. A one percent increase in a unit price of leather export will cause 5.82219 percent decrease in value of leather export in the long run. In the short run Exchange Rate has a negative effect on exports of leather as expected.