Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement

By Cheryl R. Doss. 2006

564 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/65b8fc67fb5fd11e396db36a1865f2fa5192846a

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In Economics and Econometrics

In General Agricultural and Biological Sciences

Citations in the corpus

Yield Effects of Tissue Culture Bananas in Kenya: Accounting for Selection Bias and the Role of Complementary Inputs (2012, methodology): “While the literature on the adoption and impact of crop technologies is large, most studies refer to annual crops and highyielding seed cultivars that are relatively easy to use (e.g., Feder et al., 1985; Doss, 2006; Matuschke and Qaim, 2008).”
Adoption of multiple sustainable agricultural practices in rural Ethiopia (2013, background): “In Ethiopia, farmers must have at least 0.5 ha. under maize to participate in the credit scheme for maize (Doss, 2006).”
Understanding the role of social capital in adoption decisions: An application to irrigation technology (2017, unknown): “In 1984, Feder & Slade published a widely recognized study of the factors that predict agricultural innovation and adoption to increase productivity, essential to economic growth and development (DOSS, 2006; Baerenklau and Knapp, 2007).”
Assessing the impact of improved agricultural technologies on household income in rural Mozambique (2011, background): “The first hurdle to be overcome is the adoption of the improved technology, which has been the subject of numerous studies (for a review see Feder et al., 1985; Sunding and Zilberman, 2001; Doss, 2006).”
Taking a new look at empirical models of adoption: average treatment effect estimation of adoption rates and their determinants (2007, background): “24 In this context, Doss (2006) formulates some recommendations for survey”
Factors Affecting Adoption of Improved Rice Varieties among Rural Farm Households in Central Nepal (2015, methodology): “Based on the adoption literatures (Feder et al, 1985; Adesina and Zinnah, 1993; Sall et al, 2000; Doss, 2006; Langyintuo and Mungoma, 2008), following explanatory variables are expected to influence the probability and rate of adoption, which are broadly categorized into: (1) household…”
Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions (2014, unknown): “For developing countries, the contribution of improved technologies to agricultural productivity is well documented (see Sunding and Zilberman, 2001; and Doss, 2006 for details).”