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Agricultural Technology Adoption, Seed Access Constraints and Commercialization in Ethiopia

TLDR
In this paper, the authors examined the driving forces behind farmers' decisions to adopt agricultural technologies and the causal impact of adoption on farmers' integration into output market using data obtained from a random cross-section sample of 700 farmers in Ethiopia.
Abstract
This article examines the driving forces behind farmers’ decisions to adopt agricultural technologies and the causal impact of adoption on farmers’ integration into output market using data obtained from a random cross-section sample of 700 farmers in Ethiopia. We estimate a Double-Hurdle model to analyze the determinants of the intensity of technology adoption conditional on overcoming seed access constraints. We estimate the impact of technology adoption on farmers’ integration into output market by utilizing treatment effect model, regression based on propensity score as well as matching techniques to account for heterogeneity in the adoption decision, and for unobservable characteristics of farmers and their farm. Results show that knowledge of existing varieties, perception about the attributes of improved varieties, household wealth (livestock and land) and availability of active labor force are major determinants for adoption of improved technologies. Our results suggest that the adoption of improved agricultural technologies has a significant positive impact on farmers’ integration into output market and the findings are consistent across the three models suggesting the robustness of the results. This confirms the potential direct role of technology adoption on market participation among rural households, as higher productivity from improved technology translates into higher output market integration.

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Impact of modern agricultural technologies on smallholder welfare: evidence from tanzania and ethiopia

TL;DR: In this paper, the potential impact of adoption of improved legume technologies on rural household welfare measured by consumption expenditure in rural Ethiopia and Tanzania was evaluated by using endogenous switching regression, which helps to estimate the true welfare effect of technology adoption by controlling for the role of selection problem on production and adoption decisions.
BookDOI

Understanding the agricultural input landscape in Sub-Saharan Africa : recent plot, household, and community-level evidence

TL;DR: This paper revisited Africa's agricultural input landscape, exploiting the unique, recently collected, nationally representative, agriculturally intensive, and cross-country comparable Living Standard Measurement Study-Integrated Surveys on Agriculture covering six countries in the region (Ethiopia, Malawi, Niger, Nigeria, Tanzania, and Uganda).
Journal ArticleDOI

Understanding the process of adaptation to climate change by small-holder farmers: the case of east Hararghe Zone, Ethiopia

TL;DR: In this paper, the authors examined smallholder farmers' level of perception about climate change, source of information on climate change and types of adaptation strategies, factors influencing adaptation choices and barriers to adaptation in Eastern Hararghe Zone, Ethiopia.
Journal ArticleDOI

Welfare impact of adoption of improved cassava varieties by rural households in South Western Nigeria

TL;DR: In this article, the welfare impact of farm households adoption of improved cassava varieties in Southwestern (SW) Nigeria using poverty as an indicator was examined. But, the authors did not consider the impact of the adoption of modern agricultural technologies amongst farmers in Nigeria.
Journal Article

Determinants and Impacts of Modern Agricultural Technology Adoption in West Wollega: The Case of Gulliso District

TL;DR: In this paper, the authors analyzed factors affecting modern agricultural technology adoption by farmers and the impact of technology adoption decision on the welfare of households in the study area using binary logit model to analyze the determinants of farmers' decisions to adopt modern technologies.
References
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Specification Tests in Econometrics

Jerry A. Hausman
- 01 Nov 1978 - 
TL;DR: In this article, the null hypothesis of no misspecification was used to show that an asymptotically efficient estimator must have zero covariance with its difference from a consistent but asymptonically inefficient estimator, and specification tests for a number of model specifications in econometrics.

World development report 2008 : agriculture for development

TL;DR: Agriculture is a vital development tool for achieving the Millennium Development Goal that calls for halving by 2015 the share of people suffering from extreme poverty and hunger as mentioned in this paper, which is the overall message of this year's World Development Report (WDR), the 30th in the series.
Posted Content

Instrumental Variables Regression with Weak Instruments

TL;DR: In this article, the authors developed asymptotic distribution theory for instrumental variable regression when the partial correlation between the instruments and a single included endogenous variable is weak, here modeled as local to zero.
Journal ArticleDOI

Technology Adoption in the Presence of Constraints: the Case of Fertilizer Demand in Ethiopia

TL;DR: In this paper, a double-hurdle fertilizer adoption model for Ethiopia is presented, and the authors conclude that current large-scale transport, health, and education investment programs will positively impact smallholder productivity and household welfare.
Journal ArticleDOI

Does Matching Overcome Lalonde's Critique of Nonexperimental Estimators?

TL;DR: Dehejia and Wahba as discussed by the authors applied cross-sectional and longitudinal propensity score matching estimators to data from the National Supported Work Demonstration that have been previously analyzed by LaLonde (1986) and Dehemjia-Wahba (1998, 1999) and found that the difference-in-differences matching estimator is the most robust.
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