Climatic Change

, Volume 149, Issue 2, pp 205–217 | Cite as

Will climate change benefit or hurt Russian grain production? A statistical evidence from a panel approach

  • Maria BelyaevaEmail author
  • Raushan Bokusheva


Using recent advances in statistical crop yield modelling and a unique dataset consisting of yield time series for Russian regions over the period from 1955 to 2012, the study investigates the potential impact of climate change (CC) on the productivity of the three most important grains. Holding current grain growing areas fixed, the aggregate productivity of the three grains is predicted to decrease by 6.7% in 2046–2065 and increase by 2.6% in 2081–2100 compared to 1971–2000 under the most optimistic representative emission concentration pathway (RCP). Based on the projections for the three other RCPs, the aggregate productivity of the three studied crops is assessed to decrease by 18.0, 7.9 and 26.0% in the medium term and by 31.2, 25.9 and 55.4% by the end of the century. Our results indicate that CC might have a positive effect on winter wheat, spring wheat and spring barley productivity in a number of regions in the Northern and Siberian parts of Russia. However, due to the highly damaging CC impact on grain production in the most productive regions located in the South of the country, the overall impact tends to be negative. Therefore, a shift of agricultural production to the Northern regions of the country could reduce the negative impact of CC on grain production only to a limited extent. More vigorous adaptation measures are required to maintain current grain production volumes in Russia under CC.



The authors would like to thank Ariel Ortiz-Bobea and Pierre Merel for their valuable input and comments on an earlier version of the paper. They are also very much grateful to Yuri I. Kopenkin and Nikolai Svetlov for enabling access to statistics used in the study. The final version of the paper has benefited from insightful questions and helpful suggestions of Armen R. Kemanian and two anonymous reviewers.

Supplementary material

10584_2018_2221_MOESM1_ESM.docx (507 kb)
ESM 1 (DOCX 506 kb)


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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  1. 1.Leibniz Institute of Agricultural Development in Transition Economies (IAMO)Halle (Saale)Germany
  2. 2.Agricultural and Resource Economics, Institute of Natural Resource SciencesThe ZHAW Zurich University of Applied SciencesWädenswilSwitzerland

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