The Impact of Agricultural Extension Services in the Context of a Heavily Subsidized Input System: The Case of Malawi
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Citations
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References
Some practical guidance for the implementation of propensity score matching
Adoption of agricultural innovation in developing countries : a survey (revised)
Agricultural household models : extensions, applications, and policy
Estimation of Causal Effects using Propensity Score Weighting: An Application to Data on Right Heart Catheterization
Related Papers (5)
Frequently Asked Questions (7)
Q2. What is the importance of education of the household head in explaining food security levels?
Education of the household head is consistently significant in explaining food security levels, indicating the importance of formal education or longer-term training, rather than short-term, ad hoc training.
Q3. What are the main reasons for the low nutrient use efficiency observed among Malawians?
Snapp and colleagues (2014) suggested that untimely delivery of inputs coupled with lack of sound advice and extension services may have been one of the contributing factors in the observed low nutrient use efficiency observed among FISP beneficiaries, limiting the productivity and development impact of this flagship agricultural development program of the government of Malawi.
Q4. What factors consistently show significance in their models?
Other factors that consistently show significance in their models are the distances to the nearest road, market, and ADMARC outlet, indicating the importance of access to markets in improving agricultural productivity and food security.
Q5. What is the importance of family-based training?
The successful management of most agriculture and aquaculture enterprises relies on household members’ working together, yet the need for a family-based approach to training is often overlooked as an explicit strategy.
Q6. What is the effect of the data on the poorest segment of farming households?
While the dataset does not include a category of people with and without disabilities, this paper shows strong evidence that youth and the poorest segment of farming households are less likely to access extension services, which may lead to their being left out in the development processes that agricultural advisory services support.
Q7. How many people received agricultural advice in 2013?
In 2013, 71 percent of those receiving advice found it to be very useful, 21 percent found it useful, and 8 percent found it not useful (Table 4.1).