Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China

By Elaine M. Liu. Review of Economics and Statistics, 2013

619 citations recorded by the source corpus.

Subfields: General Agricultural and Biological Sciences, Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/0016e507c386d362d1d00d0c3b4556a665f3f683

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Citations in the corpus

Stability of risk preference measures: results from a field experiment on French farmers (2012, background): “More recently, Liu (2008) reports an average CRRA coefficient for Chinese farmers equal to 0.71.”
Risk Preferences Around the World (2015, background): “Harrison et al. (2010) have examined the risk attitudes of poor people in Ethiopia, India, and Uganda; Tanaka et al. (2010) the risk attitudes of farmers in Vietnam; Liu (2013) the risk attitudes of cotton farmers in China; and Booij and van de Kuilen (2009) the risk attitudes of a representative sa”
The Roles of Risk and Ambiguity in Technology Adoption (2014, background): “…evidence that most individuals are risk averse (e.g. Lin et al., 1974; Binswanger, 1980; Gollier, 2001) has stimlated much research on the effects of risk and risk-aversion on technology adoption (Feder, 1980; Sunding and Zilberman, 001; Knight et al., 2003; Foster and Rosenzweig, 2010; Liu, 2011).”
Smallholder participation in contract farming: Comparative evidence from five countries (2012, background): “…it can provide smallholders with incentives to increase crop production (Baron, 1970; Bellemare, Barrett, & Just, 2011; Sandmo, 1971) or to invest in yield-stabilizing technologies such as irrigation or yield-increasing inputs such as fertilizer or improved varieties (Liu, 2010; Michelson, 2010a).”
Adoption of climate‐smart agriculture among smallholder farmers: Does farmer entrepreneurship matter? (2021, background): “…and for decades since the work of Feder et al. (1985), studies on farmers’ cognitive traits have largely focused on how risk preferences (the tendency to choose an action or activity with high risks) influence technology adoption decisions (Isik and Khanna, 2003; Jianjun et al., 2015; Liu, 2013).”
The Impact of Violence on Individual Risk Preferences: Evidence from a Natural Experiment (2015, background): “For example, Liu (2013) shows that experimental measures of risk preferences pre- but were (individually or on average) less exposed to violence than individuals in the treatment groups.”
Do decentralized innovation systems promote agricultural technology adoption? Experimental evidence from Africa (2014, background): “Important research in this field includes contributions by Feder et al. (1985), Liu (2013), Rogers (1995), Sunding and Zilberman (2001), and Suri (2011).”
Learning and Earning: Evidence from a Randomized Evaluation in India (2017, background): “Nopo and Saavedra (2003) in their review of training programs in Latin America essentially reach the same conclusion.”
The Promise and Success of Lab-Field Generalizability in Experimental Economics: A Critical Reply to Levitt and List (2011, background): “• Slow adoption of modified Bt cotton by Chinese farmers is correlated with risk- and loss-aversion, and lower overweighting of low probability [Liu, 2011]”