Ethiopia has one of the highest poverty rates in the world where 24% of the population lives in e... more Ethiopia has one of the highest poverty rates in the world where 24% of the population lives in extreme poverty. While urban poverty reduced from 26% in 2011 to 15% in 2016, rural poverty reduced only from 30 to 26% in the same periods. Improper identification of the rural poor and ill-understanding of the extent of rural poverty is among the challenges in designing appropriate poverty reduction interventions in rural areas. Thus, this study analyzes the extent of rural poverty employing a consumption-based approach and identifies the determinants of rural poverty at a household level. A household survey was conducted and data were randomly collected from 194 households from four representative villages in the west Belesa district of Ethiopia. The food and non-food consumption measurement calculated by the cost of basic need approach were 2949.40 ETB (ETB is Ethiopian Birr, which is the Ethiopian currency. 1 ETB is equivalent to 0.025 US$) and 1485.78 ETB per year per Adult Equivalent (AE), respectively. The rural poverty indices (i.e. headcount index, poverty gap, and squared poverty gap) calculated based on the consumption-based poverty line were 38.1, 8.84, and 3.1%, respectively. The binary logit analysis shows that having a bigger family had a significant and positive relationship with rural poverty. Conversely, larger landholding, plowing oxen, and livestock ownership as well as a higher amount of non/off-farm income have a significant and negative relationship with the poverty status of households. The study found that rural poverty is deep and complex in the study area calling for the design of location-specific and holistic poverty reduction strategies.
This research was carried out in Fogera district, located in South Gondar Administrative zone, Et... more This research was carried out in Fogera district, located in South Gondar Administrative zone, Ethiopia in 2014/2015 production year. In the area, rice is one of the means of livelihood. The objective of the research was to identify the determinants of the level of rural women participation in rice production. Among the 24 rice producing kebeles, four kebeles were selected following simple random sampling technique. Respondents were stratified into women in female and male headed households. Primary quantitative data was collected through household survey. The data were analysed using descriptive statistics such as mean Std. Dev, pair-wise ranking, percentage distribution, F-test and chi-square test. Women’s participation was analysed by participation index, and further was categorised into high, medium and low. The ordinal logistic regression model was used to estimate the effects of hypothesised explanatory variables. The results of the econometric model indicated women categorisation, farm size, on-farm income, offfarm income, farm nearness to development centre and rice production training. Based on the findings of the research, capacitating women through training and introduction of cost and burden of women reducing technologies are recommended.
Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income... more Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income generation. The determinant factors of adoption of teff row planting by female farmers vis-à-vis their male counterparts are not understood. Therefore, a survey was conducted to identify factors that determine adoption of teff row planting technology in a gender perspective in Moretna Jiru district, North Shoa, Ethiopia. A random sample of 131 male and 31 female headed households were randomly taken from four kebeles (lowest administrative unit) of the district. Primary data was collected from sample respondents and secondary data from various other sources. Descriptive statistics and Tobit regression were used in data analysis. Tobit regression was used to identify determinant factors of adoption. The findings of the marginal effect revealed that 81% of the female headed households (FHH) had favorable attitude towards the technology, a year increase in schooling increased the intensity of use of the technology by 39% and one ha increase in land holding size increased it by 30%. With regard to male headed households (MHH), positive attitude towards the technology increased the intensity of use of the technology by 39%, getting extension service by 38% and increase in education by 24%. In conclusion, extension agents should work hard with female headed farmers and ensure the implementation of teff row planting technology by strengthening FTCs via improved resources.
Suitable agroecology and tremendous soybean potential of Ethiopia is
the key to produce the crop ... more Suitable agroecology and tremendous soybean potential of Ethiopia is the key to produce the crop in large-scale and maintaining a steady supply on the market. Although its demand rises quickly for export and local processing, the current production status is much below the market demand. The factors influencing the supply of soybeans in Northwestern Ethiopia were the main subject of this study. The sample households were chosen using a multistage sampling technique. In this study, data were gathered from 228 respondents that were randomly drawn. The data were obtained mainly from sampled soybean growers via structured interviews with key informant interviews and focus groups for triangulation. Descriptive statistics and multiple linear regression models were employed to analyze the data including one way ANOVA and t-tests. The findings showed that soybean producers’ average productivity was 1.21 tons ha−1 , much below the national average of 2.15 tons ha −1, due to the sparse usage of improved seed, fertilizer, and other recommended packages. According to the model results, productivity, lagged price, market information, prior experience with soybean farms, cultivated land, weekly extension contacts, education (preparatory school completion), and credit access all had a positive and significant impact on the quantity of soybean market supply. The results showed that soybeans are the most lucrative and important cash crop for producers in the study area. The availability of improved soybean technologies with full recommended packages boosts their productivity and enables them to guarantee sustainable market supply in order to meet the increased market demand.
Ethiopia has one of the highest poverty rates in the world where 24% of the population lives in e... more Ethiopia has one of the highest poverty rates in the world where 24% of the population lives in extreme poverty. While urban poverty reduced from 26% in 2011 to 15% in 2016, rural poverty reduced only from 30 to 26% in the same periods. Improper identification of the rural poor and ill-understanding of the extent of rural poverty is among the challenges in designing appropriate poverty reduction interventions in rural areas. Thus, this study analyzes the extent of rural poverty employing a consumption-based approach and identifies the determinants of rural poverty at a household level. A household survey was conducted and data were randomly collected from 194 households from four representative villages in the west Belesa district of Ethiopia. The food and non-food consumption measurement calculated by the cost of basic need approach were 2949.40 ETB (ETB is Ethiopian Birr, which is the Ethiopian currency. 1 ETB is equivalent to 0.025 US$) and 1485.78 ETB per year per Adult Equivalent (AE), respectively. The rural poverty indices (i.e. headcount index, poverty gap, and squared poverty gap) calculated based on the consumption-based poverty line were 38.1, 8.84, and 3.1%, respectively. The binary logit analysis shows that having a bigger family had a significant and positive relationship with rural poverty. Conversely, larger landholding, plowing oxen, and livestock ownership as well as a higher amount of non/off-farm income have a significant and negative relationship with the poverty status of households. The study found that rural poverty is deep and complex in the study area calling for the design of location-specific and holistic poverty reduction strategies.
This research was carried out in Fogera district, located in South Gondar Administrative zone, Et... more This research was carried out in Fogera district, located in South Gondar Administrative zone, Ethiopia in 2014/2015 production year. In the area, rice is one of the means of livelihood. The objective of the research was to identify the determinants of the level of rural women participation in rice production. Among the 24 rice producing kebeles, four kebeles were selected following simple random sampling technique. Respondents were stratified into women in female and male headed households. Primary quantitative data was collected through household survey. The data were analysed using descriptive statistics such as mean Std. Dev, pair-wise ranking, percentage distribution, F-test and chi-square test. Women’s participation was analysed by participation index, and further was categorised into high, medium and low. The ordinal logistic regression model was used to estimate the effects of hypothesised explanatory variables. The results of the econometric model indicated women categorisation, farm size, on-farm income, offfarm income, farm nearness to development centre and rice production training. Based on the findings of the research, capacitating women through training and introduction of cost and burden of women reducing technologies are recommended.
Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income... more Teff is a major indigenous cereal crop in Ethiopia, produced for household consumption and income generation. The determinant factors of adoption of teff row planting by female farmers vis-à-vis their male counterparts are not understood. Therefore, a survey was conducted to identify factors that determine adoption of teff row planting technology in a gender perspective in Moretna Jiru district, North Shoa, Ethiopia. A random sample of 131 male and 31 female headed households were randomly taken from four kebeles (lowest administrative unit) of the district. Primary data was collected from sample respondents and secondary data from various other sources. Descriptive statistics and Tobit regression were used in data analysis. Tobit regression was used to identify determinant factors of adoption. The findings of the marginal effect revealed that 81% of the female headed households (FHH) had favorable attitude towards the technology, a year increase in schooling increased the intensity of use of the technology by 39% and one ha increase in land holding size increased it by 30%. With regard to male headed households (MHH), positive attitude towards the technology increased the intensity of use of the technology by 39%, getting extension service by 38% and increase in education by 24%. In conclusion, extension agents should work hard with female headed farmers and ensure the implementation of teff row planting technology by strengthening FTCs via improved resources.
Suitable agroecology and tremendous soybean potential of Ethiopia is
the key to produce the crop ... more Suitable agroecology and tremendous soybean potential of Ethiopia is the key to produce the crop in large-scale and maintaining a steady supply on the market. Although its demand rises quickly for export and local processing, the current production status is much below the market demand. The factors influencing the supply of soybeans in Northwestern Ethiopia were the main subject of this study. The sample households were chosen using a multistage sampling technique. In this study, data were gathered from 228 respondents that were randomly drawn. The data were obtained mainly from sampled soybean growers via structured interviews with key informant interviews and focus groups for triangulation. Descriptive statistics and multiple linear regression models were employed to analyze the data including one way ANOVA and t-tests. The findings showed that soybean producers’ average productivity was 1.21 tons ha−1 , much below the national average of 2.15 tons ha −1, due to the sparse usage of improved seed, fertilizer, and other recommended packages. According to the model results, productivity, lagged price, market information, prior experience with soybean farms, cultivated land, weekly extension contacts, education (preparatory school completion), and credit access all had a positive and significant impact on the quantity of soybean market supply. The results showed that soybeans are the most lucrative and important cash crop for producers in the study area. The availability of improved soybean technologies with full recommended packages boosts their productivity and enables them to guarantee sustainable market supply in order to meet the increased market demand.
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the key to produce the crop in large-scale and maintaining a steady supply on the market. Although its demand rises quickly for export and local processing, the current production status is much below the market demand. The factors influencing the supply of soybeans in Northwestern
Ethiopia were the main subject of this study. The sample households were chosen using a multistage sampling technique.
In this study, data were gathered from 228 respondents that were randomly drawn. The data were obtained mainly from sampled soybean growers via structured interviews with key informant interviews and focus groups for triangulation. Descriptive statistics and multiple linear regression models were employed to analyze the data including one way ANOVA and t-tests. The findings showed that soybean producers’ average
productivity was 1.21 tons ha−1 , much below the
national average of 2.15 tons ha −1, due to the sparse usage of improved seed, fertilizer, and other recommended packages. According to the model results, productivity, lagged price, market information, prior experience with soybean farms, cultivated land, weekly extension contacts, education (preparatory school completion), and credit access all had a positive and significant impact on the quantity of soybean market supply. The results showed that soybeans are the most lucrative and important cash crop for producers in the study area. The availability of improved soybean technologies with full recommended packages boosts their productivity and enables them to guarantee sustainable market supply in order to meet
the increased market demand.
the key to produce the crop in large-scale and maintaining a steady supply on the market. Although its demand rises quickly for export and local processing, the current production status is much below the market demand. The factors influencing the supply of soybeans in Northwestern
Ethiopia were the main subject of this study. The sample households were chosen using a multistage sampling technique.
In this study, data were gathered from 228 respondents that were randomly drawn. The data were obtained mainly from sampled soybean growers via structured interviews with key informant interviews and focus groups for triangulation. Descriptive statistics and multiple linear regression models were employed to analyze the data including one way ANOVA and t-tests. The findings showed that soybean producers’ average
productivity was 1.21 tons ha−1 , much below the
national average of 2.15 tons ha −1, due to the sparse usage of improved seed, fertilizer, and other recommended packages. According to the model results, productivity, lagged price, market information, prior experience with soybean farms, cultivated land, weekly extension contacts, education (preparatory school completion), and credit access all had a positive and significant impact on the quantity of soybean market supply. The results showed that soybeans are the most lucrative and important cash crop for producers in the study area. The availability of improved soybean technologies with full recommended packages boosts their productivity and enables them to guarantee sustainable market supply in order to meet
the increased market demand.