Psychology and develoPment: theory and exPerimental evidence † How High Are Rates of Return to Fertilizer? Evidence from Field Experiments in Kenya

By Esther Duflo, Michael Kremer, J. Robinson. 2008

498 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/dd6c6cf0ba57d8a42fb75241616d9fe22ca68155

Citations in the corpus

• Productivity, credit, risk, and the demand for weather index insurance in smallholder agriculture in Ethiopia (2013, unknown): “For instance, Duflo et al. (2008) find that annualized rates of return to fertilizer use in Kenya, without complementary inputs are around 70%.”
• Market inefficiencies and the adoption of agricultural technologies in developing countries 1 (2013, unknown): “Empirical evidence is mixed: adoption by one’s peers may make adoption more likely (Foster and Rosenzweig 1995; Conley and Udry 2001; Oster and Thornton 2011), less likely (Kremer and Miguel 2007), or have no effect (Duflo et al. 2008).”
• Do decentralized innovation systems promote agricultural technology adoption? Experimental evidence from Africa (2014, unknown): “…within (non-linear) networks (e.g., Bandiera and Rasul, 2006; Conley and Udry, 2010), and by academic work that identifies heterogeneity among smallholders so that ‘blanket recommendations’ are unlikely to be relevant for large swaths of the farming population (Duflo et al., 2008; Suri, 2011).”
• Direct and Indirect Effects of Malawi's Public Works Program on Food Security (2015, unknown): “This may suggest that other constraints, including lack of knowledge of the correct amount of fertilizer to use (Duflo et al., 2008), are more important than credit constraints in limiting the use of fertilizer.”
• Using agriculture for development: Supply- and demand-side approaches (2020, unknown): “Emerick et al. (2016) show that adoption of Swarna-Sub1 enhances agricultural productivity by crowding in modern inputs (fertilizer) and cultivation practices (more labor intensive planting method), and increasing credit demand.”
• Will digital technologies transform agriculture in developing countries (2016, unknown): “Context specific factors and various marketing and institutional constraints can blunt benefits  Rwanda; Range of Crops; Mobile phone adoption; Futch and Mcintosh (2009)  India; Range of Crops; SMS; Fafchamps and Minten (2012)  West Bengal, India; Potato; SMS; Mitra et al (2015)  Ethiopia; Cerea”
• Lemon technologies and adoption: measurement, theory and evidence from agricultural markets in Uganda (2017, unknown): “This result, in turn, may help explain why smallholder farmers, as documented in several studies (e.g., Duflo, Kremer, and Robinson 2006; Dercon and Christiaensen 2011; Suri 2011), switch into and out of hybrid seed and fertilizer use over time. noise about the fertilizer’s quality after each…”