The impacts of hybrid maize seed on the welfare of farming households in Kenya

By M. Mathenge, M. Smale, J. Olwande. 2014

136 citations recorded by the source corpus.

Subfields: Business and International Management, Economics and Econometrics, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/154759312e786199b745e2dedca96522eaca1bcd

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Business and International Management

1. S. Ogutu
2. M. Qaim

In Economics and Econometrics

1. Leslie Lipper
2. S. Ogutu
3. Federico Belotti
4. M. Qaim
5. Aslihan Arslan

In General Agricultural and Biological Sciences

1. S. Ogutu
2. Leslie Lipper
3. Federico Belotti
4. M. Qaim
5. Aslihan Arslan
6. Glenn Stone
7. Arjunan Subramanian
8. Kibrom T. Sibhatu

Citations in the corpus

• Gains in Maize Genetic Improvement in Eastern and Southern Africa: II. CIMMYT Open-Pollinated Variety Breeding Pipeline (2017, background): “The use of hybrid seed increased maize yields and annual income, reducing the depth of poverty ( Jones et al., 2012; Mason and Smale, 2013; Mathenge et al., 2014).”
• Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia (2015, unknown): “In East Africa, recent analysis of the impact of the adoption of hybrid seed on Kenyan smallholders (Mathenge et al ., 2014), builds on in-depth adoption research conducted by Suri (2011), and finds the influence of hybrid seed on income and assets to be favorable for smallholder maize growers.”
• Commercialization of the small farm sector and multidimensional poverty (2019, background): “As is typical for sub-Saharan Africa, smallholder farmers in Kenya account for the lion’s share of total agricultural output and for a large fraction of the population living below the poverty line (World Bank, 2017; Wiesmann et al., 2016; Olwande et al., 2015; Mathenge et al., 2014).”
• Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania (2017, background): “…cause of endogeneity and is our benchmark for model (4).4 However, recent literature points out that fixed-effects estimation might still produce biased estimates for the adoption variables’ coefficients (Ricker-Gilbert et al., 2011; Mathenge et al., 2014; Bezu et al., 2014; Manda et al., 2016).”