Adoption of interrelated sustainable agricultural practices in smallholder systems: Evidence from rural Tanzania
By M. Kassie, M. Jaleta, B. Shiferaw, Frank E. Mmbando, M. Mekuria. 2013
789 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Soil Science
View Paper: https://www.semanticscholar.org/paper/635bf9f342945570dbec3af7c423645df44939eb
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Citations in the corpus
- Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia (2016, background): “Recent studies on adoption of SAPs use multivariate or seemingly unrelated multivariate probit regression models (Marenya and Barrett, 2007; Kassie et al., 2013; Teklewold et al., 2013a; Kamau et al., 2014) to assess factors that affect adoption but do not analyse the impacts of (combinations of) th”
- Response to climate risks among smallholder farmers in Malawi: A multivariate probit assessment of the role of information, household demographics, and farm characteristics (2015, background): “Strategies like SWC which require considerable investments with benefit streams accruing in the long-term are likely to be implemented by households who actually own the land and have security of tenure (Kassie et al. 2013; Amsalu and de Graaff 2007).”
- Determinants of the Adoption of Climate-Smart Agricultural Practices by Small-Scale Farming Households in King Cetshwayo District Municipality, South Africa (2019, methodology): “Wealthier households are less risk-averse and have a higher capacity for risks related to the adoption of practices or technologies [45].”
- Evaluating the impact of improved maize varieties on food security in Rural Tanzania: Evidence from a continuous treatment approach (2014, neutral): “For the detailed description and hypothesis of these variables see Kassie et al. (2013).”
- Prospects for Agricultural Sustainable Intensification: A Review of Research (2019, background): “Therefore, the way to achieve sustainable intensification needs to take the flexibility in practice into consideration, such as the diversity of agricultural ecological conditions, farmers' endowment, farming system and social and economic conditions [93].”
- Adoption of Climate-Smart Agriculture Technologies in Tanzania (2020, background): “Independent Variables (i) Household characteristics Household demographic characteristics are associated with decision-making in the adoption of farm-level technologies (Kassie et al., 2013; Asfaw et al., 2014; Kurgat et al., 2018).”
- Smallholder productivity and weather shocks: Adoption and impact of widely promoted agricultural practices in Tanzania (2017, background): “…although there is a welldeveloped literature investigating the determinants of technology adoption, research that explicitly accounts for climate risk in this literature is still nascent (Deressa and Hassan, 2009; Di Falco et al., 2011; Kassie et al., 2013; Arslan et al., 2014; Asfaw et al., 2014).”
- Impact of improved maize varieties on food security in Eastern Zambia: A doubly robust analysis (2018, positive): “According to Kassie et al. (2013), the distance can also affect the availability of new technologies, information, credit institutions, etc.”