Purpose: This study was designed for the assessment of farm households’ willingness to contribute... more Purpose: This study was designed for the assessment of farm households’ willingness to contribute labor for conservation of bamboo forest ecosystem with the specific objectives of describing farmer’s attitude toward bamboo forest protection, exploring the amount of labor, the household’s would be willing to contribute for bamboo forest conservation and identifying factors affecting farmers' willingness to contribute labor for bamboo forest conservation. Method: Data for the study were collected from both primary and secondary sources. The multistage random-sampling technique was used in selecting 135 respondents followed by a probability proportional to size. The data were analyzed using descriptive statistics and bivariate probit model. Results: The result of the bivariate probit model shows that the mean willingness to contribute labor for the conservation of bamboo forest was 14.15 man-days per year per household. The result from seemingly unrelated bivariate probit model ind...
Journal of economics and sustainable development, 2015
This study examines the impact of Farmer Field School (FFS) training program on technical efficie... more This study examines the impact of Farmer Field School (FFS) training program on technical efficiency of smallholder farmers. The FFS program was sponsored by the Ethiopian government and launched in 2010 to scale-up best agricultural practices in the country. The study aims to compare changes in the technical efficiency of those FFS graduate and non-FFS graduate maize farmers in Ethiopia. For this, panel data were collected in two rounds from 446 randomly selected households from three districts consisting of 218 FFS graduate farmers and 228 non-FFS graduate farmers. The analytical procedure has involved three stages: in the first stage, descriptive analyses were used to detect existence of difference in the outcome indicators between the two farmer groups. In the second stage, we applied a semi-parametric impact evaluation method of propensity score matching with several matching algorithms to estimate the program impact. In the third stage, we used Difference-in-Difference as robu...
Improving agricultural productivity and improving smallholder farmers’ income requires increased ... more Improving agricultural productivity and improving smallholder farmers’ income requires increased efforts in influencing farmer to use yield enhancing technologies like improved maize varieties. It is from this ground the need to analyses the factors that influence the adoption and intensity of use of improved maize varieties. sampling procedure was employed to select the target households. In the first stage, out of 19 kebeles in Kiremu district three kebeles were selected using simple random sampling. Secondly, stratified random sampling method was employed to identify sample households. Finally, sample of adopters and non-adopters were selected by using simple random sampling. Structured instrumental questionnaire was developed, pretested and used for collecting data from 189 randomly selected households. Descriptive statistics and double hurdle model were employed to analyse data. Results of descriptive analysis showed that there were statistically significant differences between...
Purpose: This study was designed for the assessment of farm households’ willingness to contribute... more Purpose: This study was designed for the assessment of farm households’ willingness to contribute labor for conservation of bamboo forest ecosystem with the specific objectives of describing farmer’s attitude toward bamboo forest protection, exploring the amount of labor, the household’s would be willing to contribute for bamboo forest conservation and identifying factors affecting farmers' willingness to contribute labor for bamboo forest conservation. Method: Data for the study were collected from both primary and secondary sources. The multistage random-sampling technique was used in selecting 135 respondents followed by a probability proportional to size. The data were analyzed using descriptive statistics and bivariate probit model. Results: The result of the bivariate probit model shows that the mean willingness to contribute labor for the conservation of bamboo forest was 14.15 man-days per year per household. The result from seemingly unrelated bivariate probit model ind...
Journal of economics and sustainable development, 2015
This study examines the impact of Farmer Field School (FFS) training program on technical efficie... more This study examines the impact of Farmer Field School (FFS) training program on technical efficiency of smallholder farmers. The FFS program was sponsored by the Ethiopian government and launched in 2010 to scale-up best agricultural practices in the country. The study aims to compare changes in the technical efficiency of those FFS graduate and non-FFS graduate maize farmers in Ethiopia. For this, panel data were collected in two rounds from 446 randomly selected households from three districts consisting of 218 FFS graduate farmers and 228 non-FFS graduate farmers. The analytical procedure has involved three stages: in the first stage, descriptive analyses were used to detect existence of difference in the outcome indicators between the two farmer groups. In the second stage, we applied a semi-parametric impact evaluation method of propensity score matching with several matching algorithms to estimate the program impact. In the third stage, we used Difference-in-Difference as robu...
Improving agricultural productivity and improving smallholder farmers’ income requires increased ... more Improving agricultural productivity and improving smallholder farmers’ income requires increased efforts in influencing farmer to use yield enhancing technologies like improved maize varieties. It is from this ground the need to analyses the factors that influence the adoption and intensity of use of improved maize varieties. sampling procedure was employed to select the target households. In the first stage, out of 19 kebeles in Kiremu district three kebeles were selected using simple random sampling. Secondly, stratified random sampling method was employed to identify sample households. Finally, sample of adopters and non-adopters were selected by using simple random sampling. Structured instrumental questionnaire was developed, pretested and used for collecting data from 189 randomly selected households. Descriptive statistics and double hurdle model were employed to analyse data. Results of descriptive analysis showed that there were statistically significant differences between...
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