Rural Finance and Agricultural Technology Adoption in Ethiopia: Does the Institutional Design of Lending Organizations Matter?
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TLDR
In this article, the authors examined the impact of institutional financial services on farmers' adoption of agricultural technology in Ethiopia and found that access to institutional finance has a significant positive impact on both the adoption and extent of technology use.About:
This article is published in World Development.The article was published on 2016-08-01 and is currently open access. It has received 109 citations till now. The article focuses on the topics: Financial institution & Agricultural productivity.read more
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A review of trends, constraints and opportunities of smallholder irrigation in East Africa
TL;DR: In this paper, the authors reviewed literature on trends, constraints and opportunities of small-holder irrigation in four East African countries: Ethiopia, Kenya, Tanzania and Uganda, and found that despite these challenges, opportunities exist for small-scale irrigation expansion in East Africa, such as: high untapped irrigation potential; rainwater harvesting to improve water availability; high commitment of national governments, NGOs and donors to smallholder irrigation expansion; low cost irrigation technologies adaptable to local conditions; traditional schemes rehabilitation; growing urbanization; and increased use of mobile phones that can be used to disseminate
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Locus of control and technology adoption in developing country agriculture: Evidence from Ethiopia
TL;DR: In this article, the implication of farmers' locus of control on their technology adoption decisions was investigated based on two longitudinal surveys and hypothetical choice exercises conducted on Ethiopian farmers, and they found that locus-of-control significantly predicts farmers' technology adoption decision, including use of chemical fertilizers, improved seeds, and irrigation.
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Health impacts of cooking fuel choice in rural China.
TL;DR: A strong and positive effect of using non-solid cooking fuels on an individual's ability to cope with daily activities is found, with substantially greater effects on female and older respondents.
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Welfare impact of pesticides management practices among smallholder cocoa farmers in Ghana
TL;DR: In this article, the authors identified the factors influencing farmers' choice of the combination options of pesticides management practices using cross-sectional data randomly collected from 838 cocoa farm households and found that farmers' decision to adopt insecticides only, fungicides only or a combination of the two is influenced by different socioeconomic, farm-specific and institutional factors as well as farmers' perception about incidence of pests and diseases on their farms.
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Impact of off-farm activities on technical efficiency: evidence from maize producers of eastern Ethiopia
TL;DR: In this article, the impact of participation in off-farm activities on technical efficiency of maize production in eastern Ethiopia was analyzed by combining propensity score matching with a stochastic production frontier model that corrects sample selection bias resulting from unobserved factors.
References
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The central role of the propensity score in observational studies for causal effects
TL;DR: The authors discusses the central role of propensity scores and balancing scores in the analysis of observational studies and shows that adjustment for the scalar propensity score is sufficient to remove bias due to all observed covariates.
MonographDOI
Microeconometrics: Methods and Applications
TL;DR: This chapter discusses models for making pseudo-random draw, which combines asymptotic theory, Bayesian methods, and ML and NLS estimation with real-time data structures.
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Some practical guidance for the implementation of propensity score matching
Marco Caliendo,Sabine Kopeinig +1 more
TL;DR: Propensity score matching (PSM) has become a popular approach to estimate causal treatment effects as discussed by the authors, but empirical examples can be found in very diverse fields of study, and each implementation step involves a lot of decisions and different approaches can be thought of.
Journal ArticleDOI
Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme
TL;DR: This paper decompose the conventional measure of evaluation bias into several components and find that bias due to selection on unobservables, commonly called selection bias in econometrics, is empirically less important than other components, although it is still a sizeable fraction of the estimated programme impact.
Journal ArticleDOI
Propensity score-matching methods for nonexperimental causal studies
Rajeev Dehejia,Sadek Wahba +1 more
TL;DR: In this article, the authors consider causal inference and sample selection bias in nonexperimental settings in which few units in the nonex-experiment comparison group are comparable to the treatment units, and selecting a subset of comparison units similar to treatment units is difficult because units must be compared across a high-dimensional set of pre-treatment characteristics.
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