Human capital: Education and agriculture

By W. Huffman. 2001

276 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/5114fc308d84bc0084734cf26447f31e75f0294f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. J. Manda
2. A. Alene
3. B. K. Jack
4. M. Khonje
5. Zhuo Chen
6. W. Huffman
7. M. Kassie
8. Elaine M. Liu

Citations in the corpus

• Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China (2013, background): “…literature has attempted to answer this question.1 It has been established that education (Aldana et al., 2011; Foster & Rosenzweig, 1995, 1996; Huffman, 2001), credit constraints (Croppenstedt, Demeke, & Meschi, 2003; Sunding & Zilberman, 2001; Barrett et al., 2004), and learning spillover…”
• Structural and productivity change in US agriculture, 1950–1982 (2000, methodology): “Drawing upon static and dynamic agricultural household models by Huffman (2000) and models of farm size by Kislev and Peterson (1982, 1996), farm size is determined by a household’s human capital and land holdings, available agricultural technologies, relative input prices, the off-farm wage and…”
• Farm Technology and Technical Efficiency: Evidence from Four Regions in China (2009, background): “Farmers with more farming experience (measured by the household head’s age) have greater farm technical efficiency, consistent with a large amount of information summarized in Huffman (2001).”
• The Effects of Prior Beliefs and Learning on Consumers' Acceptance of Genetically Modified Foods (2007, background): “One hypothesis is that consumers who have uninformed priors have their bidding behavior affected by information from one or more interested parties, but consumers who have informed priors are relatively unaffected (Schultz, 1975; Huffman, 2001; Tversky and Kahneman, 1981; Kahneman, 2003).”
• Market inefficiencies and the adoption of agricultural technologies in developing countries 1 (2013, background): “Investment in human capital, including general education and specific training associated with new technologies is thought to speed the technology adoption process (Huffman 2001).”
• School subsidies for the poor: evaluating the Mexican Progresa poverty program (2004, result): “…a 22 When farm production functions are estimated in the United States and in low-income countries, the implied internal rate of return to the farmers schooling is substantial, and of a similar magnitude to that observed in urban labor force surveys (e.g., Jamison and Lau, 1982; Huffman, 2001).”
• Analysis of Adoption and Impacts of Improved Maize Varieties in Eastern Zambia (2015, background): “Education is hypothesized to have a positive impact on technology adoption (Huffman, 2001).”
• Technology Adoption under Production Uncertainty: Theory and Application to Irrigation Technology (2006, unknown): “A farmer with a high level of resource allocation skills will make more accurate predictions of future yields and profitability and will thus make more efficient adoption decisions (Stigler; Huffman, 2001).”