Sequential Adoption of Site-Specific Technologies and its Implications for Nitrogen Productivity: A Double Selectivity Model

By Madhu Khanna. 2001

368 citations recorded by the source corpus.

Subfields: Economics and Econometrics, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/a562b6f0a349ca21824c490dfdad5b2285a693c7

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. M. Kassie
2. L. Prokopy
3. Kristin M. Floress
4. A. Kildegaard
5. B. Shiferaw
6. Jikun Huang
7. Jinhuan Zhao
8. A. Mekonnen

In General Agricultural and Biological Sciences

1. M. Kassie
2. H. Teklewold
3. A. Mekonnen
4. G. Kohlin
5. B. Shiferaw
6. Salvatore Di Falco
7. Jikun Huang
8. L. Prokopy

Citations in the corpus

• Precision agriculture technology adoption and technical efficiency (2021, background): “Producers invest in technologies piece- meal and evaluate their effectiveness before adding more advanced tools (Khanna, 2001; Leathers & Smale, 1991; Miller et al., 2017).”
• Long-term reduction of nitrogen fertilizer use through knowledge training in rice production in China (2015, methodology): “Regarding N management, Khanna (2001) found that farmers adopted SSNM technologies sequentially and only partially.”
• Why farmers adopt best management practice in the United States: a meta-analysis of the adoption literature. (2012, methodology): “…been considered important influences on a farmer’s decision to adopt a BMP. Acres is a measure of farm size and has been used as a measure of capital (Norris and Batie, 1987), or scale of economy (see e.g., Belknap and Saupe, 1988; Caswel et al., 2001; Daberkow and McBride, 2003: Khanna, 2001).”
• Factors influencing the adoption of precision agricultural technologies: a review for policy implications (2012, background): “Greater experience can lead to better knowledge of spatial variability in the field (Khanna 2001) and to operational efficiency to the extent that farmers learn by doing (Adhikari et al. 2009).”
• Cropping system diversification, conservation tillage and modern seed adoption in Ethiopia: Impacts on household income, agrochemical use and demand for labor (2013, background): “…to deal with their overlapping 2 This is the net maize income after fertilizer, seed, labor and pesticide costs have been accounted for. constraints, such as weeds, pest and disease infestations, and low soil fertility and crop productivity (Dorfman, 1996; Khanna, 2001; Moyo and Veeman, 2004).”
• Does Adoption Of Multiple Climate-Smart Practices Improve Farmers’ Climate Resilience? Empirical Evidence From The Nile Basin Of Ethiopia (2017, background): “Farmers may face technology alternatives that can be adopted either as substitutes or in combination (as complements or supplements) to deal with their overlapping constraints such as pest infestations, low soil fertility and moisture stress (Dorfman 1996; Khanna 2001; Moyo and Veeman 2004).”
• Adoption of climate‐smart agriculture among smallholder farmers: Does farmer entrepreneurship matter? (2021, background): “This also enables farmers to diversify and improve production in the face of overlapping challenges such as low soil fertility and climate change (Khanna, 2001).”