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Research Lags and Spillovers

  • Julian M. Alston
  • Jennifer S. James
  • Matthew A. Andersen
  • Philip G. Pardey
Chapter
Part of the Natural Resource Management and Policy book series (NRMP, volume 34)

Abstract

Modeling and measuring the productivity consequences of R&D is a tricky business. The challenge in attributing productivity to R&D is to establish which research, conducted by whom, and when, was responsible for a particular productivity increase. In other words, in modeling the effects of research on agricultural productivity the two principal areas of difficulty are in the treatment of knowledge spillovers (i.e., the “by whom” part of the attribution problem) and in identifying the lag structure linking research spending, knowledge stocks, and productivity (i.e., the “when” part).

Keywords

Capital Stock Depreciation Rate Adoption Process Technology Spillover Knowledge Stock 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  • Julian M. Alston
    • 1
  • Jennifer S. James
    • 2
  • Matthew A. Andersen
    • 3
  • Philip G. Pardey
    • 4
  1. 1.Department of Agricultural and Resource EconomicsUniversity of California, DavisDavisUSA
  2. 2.Department of AgribusinessCalifornia Polytechnic State UniversityCAUSA
  3. 3.Department of Agricultural and Applied EconomicsUniversity of WyomingWYUSA
  4. 4.Department of Applied EconomicsUniversity of MinnesotaMNUSA

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