Total Factor Productivity Growth in Agriculture: The Role of Technological Capital

By A. Ávila, R. Evenson. 2010

125 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/3bf08df6e8b7dd952bfe70a087e502cac25cc1b1

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

1. K. Fuglie
2. Philip G. Pardey
3. Sebastián Sotelo
4. B. Babcock
5. J. Alston
6. Nicholas E. Rada
7. Thomas W. Hertel
8. Cheryl R. Doss

In Management Science and Operations Research

1. Sebastián Sotelo
2. B. Babcock
3. Philip G. Pardey
4. J. Alston
5. K. Fuglie
6. Cheryl R. Doss

Citations in the corpus

• The Shifting Patterns of Agricultural Production and Productivity Worldwide (2010, methodology): “To address this problem, I use the approach originally suggested by Avila and Evenson (2004).”
• Understanding Relationship Marketing and Loyalty Program Effectiveness in Global Markets (2015, unknown): “Accumulation of capacities to invent, commer-cialize, and utilize technology (Avila and Evenson 2010) Technology facilitates customer relationship management efforts (Ahearne, Hughes, and Schillewaert 2007) but also can have deleterious effects on RM implementation.”
• Productivity growth and technology capital in the global agricultural economy. (2012, methodology): “…growth, dating from Hayami and Ruttan (1971, 1985), Evenson and Kislev (1975), Craig, Pardey and Roseboom (1997), Wiebe et al (2003) and Avila and Evenson (2010), that seeks to better understand the role of agricultural science and technology in improving food security and economic…”
• Accounting for growth in global agriculture (2015, background): “The approach is similar to what Avila and Evenson (2010) proposed, but with a much broader and representative set of input cost shares for constructing agricultural input indexes.”
• Domestic Trade Frictions and Agriculture (2015, methodology): “where ỹ i,k is the GAEZ measure of unconditional yields, and ei,k is a term that captures the 32These numbers come from and Dias Avila and Evenson (2010), Table A.3a, attributing “Mechanization” and “Animal Power” to intermediate inputs. This is somewhat different from the estimates in Hayami and Ru”