Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology
By Phoebe Koundouri, Céline Nauges, Vangelis Tzouvelekas. 2006
458 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Soil Science
View Paper: https://www.semanticscholar.org/paper/ab101cd82caf622f53d51ff500510bd60a573dd9
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
- Victor Owusu
- Salvatore Di Falco
- Johannes A.W.H. van Oorschot
- D. Pannell
- Johannes I. M. Halman
- M. Veronesi
- Awudu Abdulai
- R. Llewellyn
In General Agricultural and Biological Sciences
- Awudu Abdulai
- Salvatore Di Falco
- M. Veronesi
- Victor Owusu
- D. Pannell
- R. Llewellyn
- Marc Corbeels
- Johannes A.W.H. van Oorschot
In Soil Science
- Salvatore Di Falco
- Awudu Abdulai
- M. Veronesi
- Victor Owusu
- Johannes A.W.H. van Oorschot
- D. Pannell
- Johannes I. M. Halman
- R. Llewellyn
Citations in the corpus
- Farmer’s Adaptation to Extreme Weather Events through Farm Management and Its Impacts on the Mean and Risk of Rice Yield in China (2015, unknown): “moment-based approach that allows a flexible representation of the production risk, which has been widely used in agricultural economics to model the implications of weather risk and risk management (Kim and Chavas 2003; Koundouri et al. 2006; and Di Falco and Chavas 2009).”
- Can Risk-aversion towards fertilizer explain part of the non-adoption puzzle for hybrid maize? Empirical evidence from Malawi (2006, unknown): “…Malawi’s food policy has emphasized self sufficiency in Maize number of possible cases where intelligent policy formulation should consider not only the marginal contribution of input use to the mean of output, but also the marginal reduction in the variance of output (Koundouri et al, 2006).”
- Adoption of safer irrigation technologies and cropping patterns: Evidence from Southern Ghana (2011, result): “This finding concurs with the hypothesis that education which represents human capital is important in helping farmers in their decisions on adopting new innovations and technologies (Koundouri et al., 2006).”
- Impact of the alternate wetting and drying (AWD) water-saving irrigation technique: Evidence from rice producers in the Philippines (2011, background): “There have been a number of studies that specifically examined the decision to adopt various water-saving irrigation technologies (see, among others, Casswell, 1991; Palis et al., 2004; Blanke et al., 2005; Koundouri et al., 2006) and the potential impact of these water-saving technologies (see, for”
- Managing Environmental Risk in Presence of Climate Change: The Role of Adaptation in the Nile Basin of Ethiopia (2014, methodology): “This method has been widely used in the context of risk management in agriculture (Just and Pope 1979; Kim and Chavas 2003; Koundouri et al. 2006).”
- The farm-level economics of conservation agriculture for resource-poor farmers (2014, background): “For farmers who are highly averse to risk and uncertainty, this can be a significant impediment to adoption of new practices (Feder, 1980; Antle and Crissman, 1990; Shively, 1997; Marra et al., 2003; Abadi Ghadim et al., 2005; Koundouri et al., 2006).”
- A bibliometric review of the innovation adoption literature (2018, methodology): “Several publications in Cluster 5 address Feder, Just and Zilbermann’s notion of “the dynamics of adoption” [234, 236-239].”
- Information Transmission in Irrigation Technology Adoption and Diffusion: Social Learning, Extension Services, and Spatial Effects (2014, unknown): “First, the set of peers from whom an individual can learn is difficult to define (a thorough discussion of the issues faced when empirically defining and measuring network attributes can be found in Maertens and Barrett (2013)).”
- Farm technology adoption in Kenya: a simultaneous estimation of inorganic fertilizer and improved maize variety adoption decisions (2014, unknown): “Empirical works on determinants of agricultural technology adoption have mainly focused on risk and uncertainty (Koundouri et al. 2006; Simtowe et al., 2006), asymmetry of information, institutional constraints, human capital, access to inputs (Feder et al. 1985; Foster and Rosenzweig, 1996; Kohli…”