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The Impact of Wheat Row Planting on Farmer’s Livelihoods, in Case of Wayu Tuka Woreda East Wollaga Zone, Oromia -Ethiopia
Abstract
The aim of the study was to saw the Impact of wheat row planting to on farmer’s livelihoods in case of Wayu Tuka Woerda in East Wollega Zone., Oromia Rgion, Ethiopia. Wheat crop planting is a highly valuable grain for Ethiopian people both in production and in consumption. The objective of the research was to investigate the impact of the adoption of wheat row planting on farmer livelihoods in study area. The study was based on cross sectional research which was included both qualitative and quantitative research approach. The data were collected from total 135 respondents selected from three kebels of Wayu Tuka Woerda by using random sampling method. From the total 135 respondents 82 were wheat row planting adopters while 53 were non wheat row planting adopters. Both primary and secondary data used and analysed using descriptive statistics, logit and propensity score matching model. The software used for data entry and analysis were STATA14.2. The results show that about 61% of the respondents are users of wheat row planting whereas 39% can be classified as non-adopters of wheat row planting. The empirical Results revealed that the overall impact evaluation of the study by Propensity Score Matching shows that the average yield output of the participant groups on wheat row planting farm exceeds livelihoods of the non-adopter group by 19,626.18 ETB. Finally, wheat row planting has significant impact on farmer’s livelihoods increment. It is better to encourage farmer households as they actively participant in wheat row planting technology and support them by giving training, supplying agricultural inputs and adopting new technology for them with adequate skills for enhancing their annual livelihoods and development of the country economy.
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ATA (2012a), Crop grain plant with space' commence with growing seedlings in a nursery school and planting.
ATA, (2013b). As a result, average grain livelihoods increased from 12.6 to about 21 quintals/hektar or by 70%.
ATA, (2013a). As the Results of 2012 ond wheat Technologies Demonstration Trials Draft Report at Addis Ababa, Ethiopia.
ATA Ethiopia (2009). Ingredient in Ethiopian diets, but also an integral part of the national culture
Begashaw, M. (2018). The Impact of row planting of Wheat crop on rural farmer livelihoods: A case of Tahtay Maychew Woreda, Tigray
Behailu, (2014). Livelihoods of row planting method reached about 24 quintals/hektar and the net revenue will 20% larger than the traditional broadcasting method
Dasgupta (1989). Indicates that, the decision to adopt an innovation is not normally a single instantaneous act, it involves as a process.
Dawson, (2009). The accurate sample size in a study is reliant on the nature of the population and the function of the study
Doss (2006). Under which the profitability of a new technology can be assessed
Galipeau et al. (2013) compared the distinction between an adapter community and a non-adapter community in term of livelihoods and number of livestock
Gashaw et al. (2014) marketing assistance as full-package obtains higher wheat livelihoods as compared to non-users.
Hadush (2015) and Wuletaw and Daniel (2015) training affect use of wheat row planting adoption.
Ibid, (2010), The beneficiary tries to segregate the “cause” (independent variables) and scan whether it has any possessions on reliant variable wheat row planting adoption.
Imbens (2000) and Lechner (2001) when leaving the binary treatment case, the choice of multinomial logit is quite easier to analyze dichotomous variables
Kassa (2003); Tadesse and Kassa, 2004. In some cases, giving up or reducing the use of technologies has been reported
Legesse. (1998). Adoption of Wheat Row Planting in Ethiopia, by applying logit model.
Leuven and Sianesi (2003). The model is estimated with STATA software using the propensity score-matching algorithm developed.
McDonald et al. (2018) found impact wheat row could have positive impacts on maintaining and raising the livelihoods level of the farmer’s community.
Mekidelawit Ayal (2018). Determinants and Intensity of Adoption of Wheat crop planting In Minjar Shenkora Woreda
Mesafint, (2017) Determinants of adoption of Wheat crop planting (Eragrostis tef) row planting technology in Moretna Jiru Woreda, North Shoa Zone of Amhara Regional State
Minjara Wored. Yonas, B. and Behailu (2014) examine determinants of the adoption of row planting on Wheat crop planting farmer’s and onment on the production of Wheat crop planting]:
Ray (2001), Adoption does not inevitably follow the optional stages from consciousness to adoption; trial may not be always practiced by farmers to adopt new technology.
Rosenbuan, (2002); -If there are unobserved variables that affect assignment in to treatment and the outcome variable simultaneously a hidden bias might arise to which matching estimators are not robust
Vander casteelen et al., (2016). farmers grow wheat and it is the dominant cereal crop in over 30 of the 83 high-potential agricultural
Watson Jeff, (2001) provides a simplify formula to calculate sample sizes.
Wuletaw and Daniel, (2015; Hadush, (2015). Farmers who participated on training, their probability of adopter and nan- adoption of new technologies increase.
DOI: https://doi.org/10.33258/birex.v5i1.7390
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