The Public R&D and Productivity Growth in Australian Broadacre Agriculture: A Cointegration and Causality Approach

dc.creatorKhan, Farid
dc.creatorSalim, Ruhul
dc.date2017-04-01T14:49:10Z
dc.date.accessioned2026-07-09T09:11:29Z
dc.descriptionThis study investigates the nexus between research and development expenditure and productivity growth in Australian broadacre agriculture using country-level time-series data for the period 1953 to 2009. Using standard time-series econometrics data are analysed to examine the dynamic relationships between research and development expenditure (R&D) and total factor productivity (TFP) growth. Findings here provide econometric evidence of a co-integrating relationship between R&D and productivity growth, and a unidirectional causality emergent from R&D to TFP growth. Moreover, employing variance decomposition and impulse response function the dynamic properties of the model are explored beyond the sample periods. Findings suggest that R&D can be readily linked to the variation in productivity growth beyond the sample periods. Further, forecasting result suggests a significant out-of-sample relationship exists between the public R&D and productivity in broadacre agriculture. We used a novel method MIRR which is conceptually superior than the conventional IRR to obtain a credible estimate of returns on public research investment. We found MIRR of 10.06% per year for the reinvestment rate of 3% per year. Therefore, results establishing long run relationship between productivity and R&D in Australian agriculture shed light on the future policies in R&D investments in Australia.
dc.identifierdoi:10.22004/ag.econ.204432
dc.identifierhttps://ageconsearch.umn.edu/record/204432/files/TFP_R_D_Farid_AJARE_Conf.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/204432
dc.identifier.urihttp://hdl.handle.net/123456789/606554
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/204432
dc.titleThe Public R&D and Productivity Growth in Australian Broadacre Agriculture: A Cointegration and Causality Approach
dc.typeText

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