The Adoption and Impact of Soil and Water Conservation Technology: An Endogenous Switching Regression Application

By Awudu Abdulai, W. Huffman. Land Economics, 2014

616 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Soil Science

View Paper: https://www.semanticscholar.org/paper/63a03bd1a07761936b9e36d0ea28e047c9df0294

How researchers see this paper

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

In Economics and Econometrics

1. A. Alene
2. J. Manda
3. M. Kassie
4. M. Khonje
5. C. Gardebroek
6. A. Tufa
7. C. Hunecke
8. R. Jara‐Rojas

In General Agricultural and Biological Sciences

1. M. Kassie
2. A. Alene
3. J. Manda
4. Gazali Issahaku
5. Awudu Abdulai
6. M. Khonje
7. C. Gardebroek
8. T. Wossen

In Soil Science

1. M. Kassie
2. Gazali Issahaku
3. A. Alene
4. J. Manda
5. Awudu Abdulai
6. T. Wossen
7. C. Gardebroek
8. G. Tembo

Citations in the corpus

• Adoption of climate‐smart practices and its impact on farm performance and risk exposure among smallholder farmers in Ghana (2020, background): “Among the frequently mentioned pathways include climate-smart agriculture’s ability to increase crop yields, food and nutrition security, reduction in crop failure (e.g., Kato et al. 2011; Di Falco and Veronesi 2013; Abdulai and Huffman 2014).”
• Does cooperative membership increase and accelerate agricultural technology adoption? Empirical evidence from Zambia (2020, background): “The growing literature suggests that farmer associations increase the adoption of agricultural innovations (Abdulai and Huffman, 2014; Abdulai, 2016; Kabunga et al., 2012; Kassie et al., 2013).”
• Understanding the role of social capital in adoption decisions: An application to irrigation technology (2017, positive): “Traditional studies on technology adoption use socio-economic characteristics like age, gender and experience of the farmer, educational level, household size or income, to represent human capital (Arellanes and Lee, 2003; Foster and Rosenzweig, 2010; Abdulai et al., 2011; Genius et al., 2013; Hands”
• Adoption and Impacts of Sustainable Agricultural Practices on Maize Yields and Incomes: Evidence from Rural Zambia (2016, background): “2; aj is the vector of corresponding parameters to be estimated; nij are the independently and identically distributed error terms; lik is the latent factor that incorporates the unobserved characteristics common to the household’s adoption of SAPs and outcomes (maize yields and household income), s”