Impact of agricultural technology adoption of small holder farmers on wheat yield: Empirical evidence from Southern Tigrai State of Ethiopia

Hagos, Berhe Gebregewergs

doi:10.5897/jaerd2016.0786

Cited by 14 publications

(6 citation statements)

References 11 publications

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“…This result is congruent with the study by Hailu (2008) and Asfaw et al (2012). Similarly, Hagos (2016) and Kaleb and Workneh (2016) found a positive influence of age on agricultural technology adoption in general. On the other hand, Bingxin et al (2011), Asfaw et al (2011), Hailu et al (2014 and Jaleta et al (2015) found a negative influence of age on adoption of technology confirming the younger age groups are adopters compared to their counterpart, the elders.…”

Section: Econometric Results Determinants For Adoption Of Technology supporting

confidence: 82%

“…Many technology adoption studies emerging in crop sub-sector revealed that the gain from adoption is not satisfactory compared to the expectations, and hence further interventions on factors impeding these are suggested (Kotu et al, 2000;Dixon et al, 2006;Dercon and Christiaensen, 2011;Asfaw et al, 2012;Shiferaw et al, 2014;Ahmed, 2015;Jaleta et al, 2016;Yigezu et al, 2015;Beshir, 2016;Hagos, 2016;Seymour et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

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Determinants of Adoption of Wheat Production Technology Package by Smallholder Farmers: Evidences from Eastern Ethiopia

Kebede

Ketema

Dechassa

et al. 2017

Turkish JAF Sci.Tech.

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A study was conducted to analyze factors influencing adoption of wheat technology packages by smallholder farmers in Gurawa, Meta and Habro districts in eastern Ethiopia. The analysis was based on a household survey data collected from 136 randomly selected households. A Two-limit Tobit model was used to elucidate factors affecting adoption of technology packages measured based on an index derived from five components of wheat technologies which included row planting, pesticide application, use of improved varieties, and application of inorganic fertilizers, namely, Diammonium Phosphate (DAP) and Urea. Among the variables included in the model, variation in district, gender, age of the household head, education status of the household head, farm size, distance to market, distance to FTC (Farmers' Training Centers), cooperative membership, dependency ratio, and annual income of the households were found to significantly affect the adoption of wheat technology packages. Policy makers, planners and development practitioners should give due attention to these determinants to support smallholder farmers in wheat production and enhance gains derived from it.

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Section: Econometric Results Determinants For Adoption Of Technology supporting

confidence: 82%

Section: Introductionmentioning

confidence: 99%

Determinants of Adoption of Wheat Production Technology Package by Smallholder Farmers: Evidences from Eastern Ethiopia

Kebede

Ketema

Dechassa

et al. 2017

Turkish JAF Sci.Tech.

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“…Low level of adoption of technologies is among the major reasons (Spielman et al, 2010;Hailu et al, 2014;Ahmed et al, 2014). Many technology adoption studies emerging in crop sub-sector revealed that the gain from adoption is not satisfactory compared to the expectations, and hence further interventions on factors impeding these are suggested (Kotu et al, 2000;Dixon et al, 2006;Dercon and Christiaensen, 2011;Asfaw et al, 2012;Shiferaw et al, 2014;Ahmed, 2015;Jaleta et al, 2016;Yigezu et al, 2015;Beshir, 2016;Hagos, 2016;Seymour et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Determinants of intensity of bread wheat packages adoption in Tigary, Northern Ethiopia

Gebremariam

Hagos

2018

Turkish JAF Sci.Tech.

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The aim of this study was to identify factors influencing the intensity of use of improved bread wheat package adoption in the study area. Two kebeles was selected randomly among the potentially wheat producing kebeles in each selected districts and a total of 120 randomly selected households were interviewed for this study. Tobit model was used to elucidate factors affecting adoption of technology packages. Result of the econometric model indicated, male headship (sex), TLU and multiple production objective orientation were important variables which had positively and significantly influenced adoption and intensity of adoption of improved bread wheat production package. Whereas, age of the household, increased annual off-non farm income, increased areas of own farm land, being far apart from the farmer training center and residences had shown negative relationship with adoption and intensity of adoption. The overall finding of the study underlined the high importance of institutional support such as extension; credit and market to enhance adoption of improved wheat production package. Therefore, policy and development interventions should give emphasis to improvement of such institutional support system so as to achieve wider adoption, increased productivity and income to small scale farmers.

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“…Agriculture is crucial for poverty reduction and income growth in less developed countries, particularly Sub-Saharan Africa (World Bank, 2014). However, low productivity and technological adoption hinder its growth (Abraham et al, 2014;Hagos, 2016). Agriculture is the backbone of Ethiopia's economy, employing 83% of the population, contributing 90% of export earnings, 43% of GDP, and 70% of raw material requirements (MOFED, 2013).…”

Section: Introductionmentioning

confidence: 99%

Pre-Scaling up of Animal Drawn Wheat Row Planter in Selected Districts of Arsi, West Arsi and Bale Zones

Nebo,

Tsegaye

2023

Am. J. Aquac. Anim. Sci.

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Pre-scaling up of the animal-drawn wheat row planter was done in three specifically chosen districts: Tiyo from Arsi, Dodola from West Arsi, and Sinana from Bale zones. The goals were to increase wheat production and productivity using this technology, improve farmers’ knowledge and skills in using the improved technology, and build local capacity for future technology scaling up. Six peasant associations from these districts were specifically chosen based on their accessibility from a list of peasant associations. Then, in order to scale up the technology, a total of six groups, one at each peasant association, each with an average of fifteen farmers made up of men, women, and youth, were formed. A total of 69 participants from three districts, including 62.3% men and 37.7% women, took part in the theoretical and practical training. The major emphasis of the instruction was on how to use technology and its respective advantages. Additionally, training was given to competent microenterprises that might close the technological gap, and connections with other stakeholders were also made. The purpose of the mini-field day was to exchange knowledge and experiences, and all of the farmers who saw the demonstration recognized the benefits of this technology. Therefore, it is advised that the technique for animal-drawn wheat row planting be further promoted, made more widely known, and spread around the wheat-producing farm families around the study area and similar areas.

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Impact of agricultural technology adoption of small holder farmers on wheat yield: Empirical evidence from Southern Tigrai State of Ethiopia

Cited by 14 publications

References 11 publications

Determinants of Adoption of Wheat Production Technology Package by Smallholder Farmers: Evidences from Eastern Ethiopia

Determinants of Adoption of Wheat Production Technology Package by Smallholder Farmers: Evidences from Eastern Ethiopia

Determinants of intensity of bread wheat packages adoption in Tigary, Northern Ethiopia

Pre-Scaling up of Animal Drawn Wheat Row Planter in Selected Districts of Arsi, West Arsi and Bale Zones

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