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Knowledge productivity and the returns to agricultural research: a review

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  • Matthew A. Andersen

Abstract

This paper describes the identification, specification, estimation, and evaluation of econometric models of knowledge productivity and the returns‐to‐research. General issues related to these models are discussed and placed in context of the literature. The path from R&D investment to economic benefit is complex, convoluted, generally unknown and possibly misrepresented. The complexity arises from the intricate spatial spillover relationships and the very long time periods involved, which complicate any econometric analysis. The relevant R&D investment data are typically unavailable, incomplete and poorly measured (or approximated). The appropriate calculation of the financial benefit is not entirely clear. Some parsimonious suggestions for future research are presented.

Suggested Citation

  • Matthew A. Andersen, 2019. "Knowledge productivity and the returns to agricultural research: a review," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(2), pages 205-220, April.
    • Handle: RePEc:bla:ajarec:v:63:y:2019:i:2:p:205-220
    DOI: 10.1111/1467-8489.12296
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    Cited by:

    1. Lachaud, Michée A. & Bravo-Ureta, Boris E., 2022. "A Bayesian statistical analysis of return to agricultural R&D investment in Latin America: Implications for food security," Technology in Society, Elsevier, vol. 70(C).
    2. Bouali Guesmi & Juan Hernán Cabas Monje & Marta Alfaro Valenzuela & José M. Gil, 2024. "Impact of public research investments on agricultural productivity in Chile," Agribusiness, John Wiley & Sons, Ltd., vol. 40(1), pages 277-298, January.

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