Projections of long-term food security with R&D driven technical change—A CGE analysis
NJAS - Wageningen Journal of Life Sciences, ISSN: 1573-5214, Vol: 77, Issue: 1, Page: 39-51
2016
- 28Citations
- 95Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
In this paper, the impact of public R&D investment on agricultural productivity and long-term food security via R&D driven endogenous technical change is analysed. The findings show that R&D growth rates at the level reached in 2000s, particularly those for China, would not be expected any longer. Concerning the impact of projected R&D investments on agricultural productivity, it is found that endogenous growth rates of land-augmenting technical change are comparably lower than the standard exogenous rates used in long term projections of agri-food markets. This suggests that public R&D investments are not able to stimulate agricultural production to the levels that would be expected from the standard baseline outcomes.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S157352141630001X; http://dx.doi.org/10.1016/j.njas.2016.03.001; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84964665946&origin=inward; https://www.tandfonline.com/doi/full/10.1016/j.njas.2016.03.001; https://dx.doi.org/10.1016/j.njas.2016.03.001
Informa UK Limited
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know