David Zilberman
University of California, Berkeley
602 Papers
5.5K Citations
David Zilberman is an academic researcher from University of California, Berkeley. The author has contributed to research in topics: Agriculture & Biofuel. The author has an hindex of 74, co-authored 577 publications. Previous affiliations of David Zilberman include Charles University in Prague & Rutgers University.
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Papers
Yield Effects of Genetically Modified Crops in Developing Countries
TL;DR: Onfarm field trials carried out with Bacillus thuringiensis (Bt) cotton in different states of India show that the technology substantially reduces pest damage and increases yields.
Chapter 4 The agricultural innovation process: Research and technology adoption in a changing agricultural sector
David L. Sunding,David Zilberman +1 more
TL;DR: In this article, the authors review the generation and adoption of new technologies in the agricultural sector and discuss the influence of risk, uncertainty, and dynamic factors on adoption, and discuss future research and policy challenges.
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The agricultural innovation process: Research and technology adoption in a changing agricultural sector
David L. Sunding,David Zilberman +1 more
TL;DR: In this article, the authors review the generation and adoption of new technologies in the agricultural sector and discuss the influence of risk, uncertainty, and dynamic factors on adoption, and discuss future research and policy challenges.
542
The Econometrics of Damage Control: Why Specification Matters
Erik Lichtenberg,David Zilberman +1 more
TL;DR: In this paper, the authors developed an econometric model based on the key characteristics of damage control agents and examined its properties, showing that standard production function specifications overestimate damage control agent productivity and have erroneous implications for the evolution of DAM productivity.
Stochastic structure, farm size, and technology adoption in developing agriculture
Richard E. Just,David Zilberman +1 more
- 01 Jul 1983
TL;DR: In this paper, the authors developed a model that explains land-use allocation and technology adoption taking into account the interfarm variation of land holdings and the role of land holders (wealth) in determining risk preferences.
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