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21 September 2018

Ageing Europe: Which Parts of Europe Have the Youngest and Oldest Populations?

Demographers have created a detailed colour map of population ageing in European countries; a collection of demographic stories, it uses colour coding to indicate the varying stages of population ageing across Europe. By looking at the map, you can easily spot areas with a higher concentration of older people, countries with the youngest populations and the main destinations for workforce flows. The map's author Ilya Kashnitsky comments on some of the demographic stories it tells.   

20 September 2018

Russian Language: 'One Student's Mess is Another Student's Bliss'

'In fact, the Russian language is very logical and my task is to disclose this to my students', says Alevtina Iagodova who has been teaching Russian for over 20 years. At HSE University – St. Petersburg she gives Russian classes to exchange students, organizes a language club, and promotes the Russian culture awareness among foreigners. Recently, she has been invited by the University of Indonesia to lead a workshop in order to share her knowledge and experience of teaching Russian as a foreign language with the local colleagues.

17 September 2018

Mathematicians Propose First Continuous Self-organised Criticality Model

An international group of researchers (the first author is Nikita Kalinin, HSE Saint-Petersburg, the last author is Ernesto Lupercio, CINVESTAV, Mexico) has presented the first continuous model describing self-organised criticality. The proposed solution is simpler and more universal than the classical sandpile model: it integrates areas as remote from one another as economics, developmental biology and gravity in the context of tropical geometry. The paper was published in PNAS. 

Article

Understanding the heterogeneity of innovation modes: Performance effects, barriers, and demand for state support

Technological Forecasting and Social Change. 2018. Vol. 133. P. 238-253.
Roud V.

This study explores the potential of the innovation modes, a firm-level taxonomy of innovation behavior, to provide a reasonable treatment for the growing complexity and multidimensionality of company strategies, incentives, and demands. The data on the Russian manufacturing enterprises from two complementary surveys are used to estimate broader features of the firms pursuing particular innovation modes, including the intensity, efficiency, and impact of innovation activities, the importance of factors, hampering the performance and the heterogeneity of demand for the policy support measures. Resulting composition of the firm-level patterns and characteristics brings new facilities for the diagnosis-based policy-making in the field of innovation.

Research target: Economics and Management (including Public Administration)
Priority areas: economics
Language: English
 DOI
 Text on another site
Keywords: innovation modesHeterogeneity of innovation behaviorRussian firm-level datataxonomies
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