Technology Adoption and Technical Efficiency: Organic and Conventional Dairy Farms in the United States
By Carlos D. Mayén, Joseph V. Balagtas, C. Alexander. 2010
218 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b28e0d905c91482f09032fbf54ed4ec8cba0bbe5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Agricultural and Biological Sciences
- B. Bravo-Ureta
- D. Solís
- Renato A. Villano
- Euan Fleming
- Nathan D. DeLay
- Céline Nauges
- Ashok K. Mishra
- James Mintert
In Management Science and Operations Research
- B. Bravo-Ureta
- D. Solís
- Renato A. Villano
- Euan Fleming
- Laure Latruffe *
- Nathan D. DeLay
- Céline Nauges
- Ashok K. Mishra
Citations in the corpus
- Climate Change, Heat Stress, and U.S. Dairy Production (2014, unknown): “The stochastic production frontier approach has been widely used to estimate the technical efficiency of a variety of crop and livestock production systems (e.g., Ahmad and Bravo-Ureta, 1996; Kumbhakar and Heshmati, 1995; Cabrera et al., 2010; Mayen et al., 2010).”
- Comparative Economics of Conventional, Organic, and Alternative Agricultural Production Systems (2021, background): “Using propensity score matching, Mayen et al. (2010) derived a value of 13% reduced productivity when comparing organic to conventional dairy systems.”
- Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, methodology): “These results clearly show that the efficiency gap between beneficiaries and control farmers decreases by implementing the matching technique, which is consistent with findings reported by Mayen et al. (2010).”
- Organic farmers or conventional farmers: Where's the money? (2012, background): “, 2004; Baser, 2006; Becker and Caliendo, 2007; Becker and Ichino, 2002; Nannicini, 2007) as well as some empirical applications in agricultural economics (Liu and Lynch, 2007; Mayen et al., 2010; Tauer, 2009).”
- Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps (2015, background): “In the findings reported by Mayen et al. (2010) and Bravo-Ureta et al. (2012) the evidence of bias was the opposite, where the differentials between treated and control units decreased as correction for bias was implemented.”
- Precision agriculture technology adoption and technical efficiency (2021, methodology): “Instead, we opt for the more parsimonious dualheteroscedasticity model used elsewhere in the production literature (Hadri, 1999; Hadri, Guermat, & Whittaker, 2003; Mayen et al., 2010).”
- Technical efficiency and conversion to organic farming: the case of France (2014, background): “In a recent article Mayen, Balagtas, and Alexander (2010), using formal testing, reject the hypothesis that organic and conventional farms employ a single, homogeneous technology using data on US dairy farms.”