Research returns redux: a meta-analysis of the returns to agricultural R&D
By J. Alston, M. Marra, Philip G. Pardey, T. J. Wyatt. 2000
314 citations recorded by the source corpus.
Subfields: Economics and Econometrics, General Agricultural and Biological Sciences, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/768ad6a2448a716354409952e7a22f44cd7f9aaa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Robert Costanza
- Ida Kubiszewski
- Tim Jackson
- Tewodaj Mogues
- P. Victor
- L. McBride
- José Maripani
- Teodoro E. Rivas
In General Agricultural and Biological Sciences
In Management Science and Operations Research
Citations in the corpus
- Economics and adoption of conservation biological control (2008, background): “There is extensive literature in economics, particularly agricultural economics, on the returns from research and development (R&D) (Alston et al., 2000; Marshall and Brennan, 2001).”
- Analyzing technology adoption using microstudies: limitations, challenges, and opportunities for improvement (2006, methodology): “Alston et al. (2000) conducted a meta-analysis of returns to agricultural R&D.”
- Building a Sustainable and Desirable Economy-in-Society-in-Nature (2013, background): “A meta-study of returns to research and development, typically conducted by the public sector, found average annual rates of return of 80% [53].”
- The Impacts of Public Investment in and for Agriculture: Synthesis of the Existing Evidence (2012, background): “For example, in work focused on agricultural growth and rural development in a northern Indian state (Himachal Pradesh), Baba et al. (2010) found a positive and highly significant effect of public-sector investment in agriculture on private-sector investments in agriculture for 1969–2002.”
- Technical efficiency in farming: a meta-regression analysis (2007, methodology): “…analysis is a quantitative method used to evaluate the effect of methodological and other study-specific characteristics on published empirical estimates of some indicator, TE in our case, using differences across these studies as explanatory vari- ables in a regression model (Alston et al. 2000).”