Abstract
Technologies may have significant effects on productivity in the agricultural sector as documented in the related literature. However, those impacts vary from country to country. These differences could partially reflect the distinct scientific landscapes, science technology and innovation (STI) policies and approaches to R&D. In order to explain the cross-country volatility of agricultural productivity, we aim to study issues of STI development in the agricultural sector in each country. Among other characteristics of STI in general and the scientific landscape, in particular, we looked at the diversification of research publication between subfields of agricultural science. We estimated the research diversification parameter and studied its relation to economic performance of an agricultural sector. Our main finding shows that R&D funding, if carefully balanced with the diversification of agricultural science, could improve research performance and eventually productivity in an agricultural sector.
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Source: authors’ calculations from Scopus SciVal Benchmarking toolbox and World Bank data. (Color figure online)
Source: authors’ calculations in Eviews software from scopus SciVal Benchmarking toolbox and World Bank data
Source: authors’ calculations from OECD.stat database (section “Science, Technology and Patents”)
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Notes
Information on Agriculture, value added (current US$) is available on the following link: http://data.worldbank.org/indicator/NV.AGR.TOTL.CD?view=chart.
Information on the indicator in the World Bank database is available here: http://data.worldbank.org/indicator/EA.PRD.AGRI.KD?view=chart.
More information about Scopus database and SciVal is available here: https://www.scopus.com/home.uri?zone=header&origin=searchbasic https://www.scival.com/benchmarking/analyse https://www.elsevier.com/solutions/scival.
Information about the use of ASJC—All Science Journal Classification in Scopus is available on http://ebrp.elsevier.com/pdf/Scopus_Custom_Data_Documentation_v4.pdf.
Information on all Indicators used in ‘SciVal Benchmarking” is available on the following link https://www.scival.com/help/index.html.
SciVal metrics guidebook is available through this link: https://www.elsevier.com/research-intelligence/resource-library/scival-metrics-guidebook.
Information on this indicator is available at: http://data.worldbank.org/indicator/AG.YLD.CREL.KG?view=chart.
Information on the indicator “Food exports (% of merchandise exports)” is available here: http://data.worldbank.org/indicator/TX.VAL.FOOD.ZS.UN?view=chart. Information on the indicator “Food imports (% of merchandise imports)” is available here: http://data.worldbank.org/indicator/TM.VAL.FOOD.ZS.UN?view=chart.
Information on the indicator “Agricultural raw materials exports (% of merchandise exports)” is available here: http://data.worldbank.org/indicator/TX.VAL.AGRI.ZS.UN?view=chart. Information on the indicator “Agricultural raw materials imports (% of merchandise imports)” is available here: http://data.worldbank.org/indicator/TM.VAL.AGRI.ZS.UN?view=chart.
Information on this indicator can be found here: http://data.worldbank.org/indicator/AG.PRD.CROP.XD?view=chart.
The program is available here http://mcx.ru/activity/state-support/programs/program-2013-2020/ (Russian version).
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Acknowledgements
Contributions to this publication were supported within the framework of the Basic Research Program at the National Research University Higher School of Economics (HSE) and was funded within the framework of a subsidy granted to the HSE by the Government of the Russian Federation for the implementation of the Global Competitiveness Program.
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Appendices
Appendix 1
See Table 4.
Appendix 2
See Table 5.
Appendix 3
See Fig. 5.
Source: authors’ calculations from OECD.stat database (section “Science, Technology and Patents”)
Dynamics of publications on agricultural sciences per 1 mln USD of GERD PPP (government and higher education sectors) in selected countries and years
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Dranev, Y., Kotsemir, M. & Syomin, B. Diversity of research publications: relation to agricultural productivity and possible implications for STI policy. Scientometrics 116, 1565–1587 (2018). https://doi.org/10.1007/s11192-018-2799-2
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DOI: https://doi.org/10.1007/s11192-018-2799-2
Keywords
- Bibliometric analysis
- Diversification of research
- Research and development
- STI policy
- Agricultural productivity