Duration Analysis of Technological Adoption in Ethiopian Agriculture

Dadi, L.; Burton, Michael; Ozanne, Adam

doi:10.1111/j.1477-9552.2004.tb00117.x

Cited by 116 publications

(104 citation statements)

References 15 publications

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“…Within economics, unemployment duration and the duration of strikes have often been examined via duration models, such as Kennan's (1985) and Jaggia's (1991) analyses of strike duration in the US manufacturing sector. Most relevant to this study, though, is the analysis of technology adoption, such as that by Dadi et al (2004), Fuglie and Kascak (2001) and Burton et al (2003), and the adoption of privatization policy analysed by Lee (2003). As argued by Burton et al (2003) duration analysis has strengths compared with the conventional bivariate approaches.…”

Section: Duration Analysismentioning

confidence: 99%

Clean fuel-saving technology adoption in urban Ethiopia

Beyene

Koch

2013

Energy Economics

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The heavy dependence and inefficient utilization of biomass resources have contributed to the depletion of forest resources in Ethiopia, while the use of traditional cooking technology, one source of inefficient biomass resource use, has been linked to indoor air pollution and poor health. In response, the government and other institutions have pushed for the adoption of new cooking technologies. This research examines the speed of adoption of Mirt and Lakech cook stoves -two examples of new cooking technologies -in urban Ethiopia. In terms of the duration analysis, adoption has been increasing over time; income and wealth are important contributors to adoption, and substitute technologies tend to hinder adoption. However, it was not possible to consider prices or perceptions related to either the technologies or biomass availability in the duration models, and, therefore, additional research is needed to inform policy further with respect to household technology adoption decisions.

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Section: Duration Analysismentioning

confidence: 99%

Clean fuel-saving technology adoption in urban Ethiopia

Beyene

Koch

2013

Energy Economics

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“…The information base on the reasons associated with technology adoption is incomplete under Ethiopian condition. To date only few technology adoption studies in Ethiopia(such as, Legesse, 2001;Dadi et al, 2004)have attempted the dynamic aspect of adoption in general whereas others (such as Getahun et al, 2000;Yishak and Punjabi, 2011) addressed factors influencing the probability of adoption in a static frame work.To the authors knowledge there are no or meagre studies in Ethiopia on hybrid maize adoption, particularly, in terms of analyzing the dynamic side (timing) of adoption; i.e., the effect of factors on the duration farmers waited before they first adopted the hybrid varieties. Therefore, the main objective of this study is to indicate the adoption pattern of hybrid maize in the mid-altitude moisturestress areas of Ethiopia and also apply the duration model to determine factors affecting the timing of hybrid maize adoption.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Adoption Spell of Hybrid Maize in the Central Rift Valley, Oromyia National Regional State of Ethiopia: A Duration Model Approach

Bekele¹

2015

Sci. Technol. Arts Res. J.

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Article Information This paper estimates farm household level determinants of the speed of adoption of hybrid maize in the central rift valley of Ethiopia in the framework of the dynamic time on crosssectional data. Descriptive statistics and duration model were used to study the objectives of the study. The results from descriptive analysis showed that 85% of the farmers adopted hybrid maize at the survey time and more than 50% of the adopters started adopting hybrid maize within two years after they became aware of the varieties and the remaining started adopting afterwards but at a decreasing rate. The adoption pattern of farmers has also differed by gender and location. Duration model estimation results revealed that factors that influenced timing of hybrid maize adoption varied by the type of influence. Whereas house hold size, access to extension services and maize market participation accelerated the adoption of hybrid maize at increasing rate, age of household head and livestock ownership retarded the adoption. Operated land and unit price of seed worked towards accelerated adoption but at diminishing rate. Thus to speed up adoption of hybrid maize policies may need to give primary focus to the different categories of adopters, providing adequate extension information and reorienting the mindset of the farmers towards market orientation and household labor efficiency. Also, policies should identify particular roles of the different determinant factors and target the associating socio-economic setup of the smallholders.

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“…Agriculture is one of the most important sectors of the economy of Ethiopia [12]. The sector is vital for food security at the national level and accounts for the livelihoods of nearly 85% of the population.…”

Section: Introductionmentioning

confidence: 99%

Social Capital and Agricultural Technology Adoption among Ethiopian Farmers

Husen¹,

Loos²,

Siddig³

2017

AJRD

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Despite the recent efforts to increase agricultural productivity in Ethiopia, food insecurity remains a major challenge in the country. Improving smallholders´ productivity requires the adoption of suitable agricultural technologies and practices. Previous researches highlighted the importance of socio-economic factors; but widely overlooked the role of social capital in technology adoption and its potential to create collective actions, reduce transaction costs, relax supply side constraints, and disseminate information. Using socio-economic data of 398 farming households, the study assessed social capital as a determinant for soil and water conservation practices (SWC) such as terraces, bunds and agro-forestry as well as adopting productivity enhancing technologies (PET) such as fertilizers and improved high yielding seed varieties applying a probit model. The result showed that members of Iddir (informal funeral group) were more likely to adopt SWC (18.2%). For the case of PET, Iddir members were 12.8% less likely to adopt. Being members of Jarsumma (informal conflict resolution) increased the likelihood of SWC and PET adoption by 12.87% and 17.8%, respectively. Therefore, technology transfer should consider different types of social capital as an alternative policy option to the prevailing top down approaches in order to improve smallholder livelihoods.

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Duration Analysis of Technological Adoption in Ethiopian Agriculture

Cited by 116 publications

References 15 publications

Clean fuel-saving technology adoption in urban Ethiopia

Clean fuel-saving technology adoption in urban Ethiopia

Analysis of Adoption Spell of Hybrid Maize in the Central Rift Valley, Oromyia National Regional State of Ethiopia: A Duration Model Approach

Social Capital and Agricultural Technology Adoption among Ethiopian Farmers

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