Farm Household Production Efficiency: Evidence from The Gambia
By Jean-Paul Chavas, Ragan Petrie, M. Roth. 2005
337 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/132d03710dfaae991492ddbbb3a67566db48e4c5
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
- Laure Latruffe *
- D. Solís
- William H. Greene
- Julia A. Behrman
- Amber Peterman
- A. Quisumbing
- R. Quiroga
In Management Science and Operations Research
- B. Bravo-Ureta
- D. Solís
- Subal C. Kumbhakar
- William H. Greene
- Laure Latruffe *
- Gudbrand Lien
- J. Brian Hardaker
- Amber Peterman
Citations in the corpus
- Understanding the Complexities Surrounding Gender Differences in Agricultural Productivity in Nigeria and Uganda (2011, background): “Sample sizes in several published literature are also small: Kinkingninhoun-Mêdagbé et al. (2008), N¼ 45; Oladeebo and Fajuyigbe (2007), N¼ 100 and Chavas et al. (2005), N¼ 115.”
- Migration and technical efficiency in cereal production: evidence from Burkina Faso: F. Wouterse / Agricultural Economics xx (2010) 1-11 (2010, methodology): “In the context of missing markets, it is likely that households are using fixed quantities (land, labor) of inputs to produce a maximum amount of output, which means an output-based efficiency measure, as also used by Chavas, Petrie, and Roth (2005) for households in rural Gambia, is appropriate.”
- Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project (2012, result): “The sum of all partial production elasticities is consistently less than 1 revealing decreasing returns to scale in all models, a result that is consistent with previous research on small scale farmers in less favorable areas (e.g., González and López 2007; Solís et al. 2009; Chavas et al. 2005).”
- Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America (2009, methodology): “Previous studies of peasant agriculture have shown that household outputs can be classified into the following categories: subsistence crops; cash crops; livestock; and off-farm income (Coelli and Fleming, 2004; Chavas et al., 2005; Gonzaíez and Lo´pez, 2007).”
- Technical efficiency in competing panel data models: a study of Norwegian grain farming (2014, result): “, Chavas et al. 2005; Lien et al. 2010). The study by Lien et al. used partly the same data as in this study, but estimated an equation system in which off-farm work was measured by hours worked off the farm (and not as off-farm income share), and defined output as quantities (not in monetary values”
- An application of the DEA double bootstrap to examine sources of efficiency in Bangladesh rice farming (2008, background): “Recent examples include Wadud and White (2000), Otsuki, et al. (2002), Coelli et al. (2002), Wadud (2003), Binam et al. (2003), Wu et al. (2003), Dhungana et al. (2004), Helfand and Levine (2004) and Chavas et al. (2005).”
- Migration, local off-farm employment, and agricultural production efficiency: evidence from China (2015, neutral): “Chavas et al. (2005) did not find any significant impact of off-farm employment on technical efficiency using data from Gambia.”