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Coastal Regions of Russia: Migration Attractiveness and Innovation Performance


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Fig. 1

The effectiveness of permanent migration in Russian coastal regions on average, 2011–2018.
The effectiveness of permanent migration in Russian coastal regions on average, 2011–2018.

Fig. 2

The innovation performance of the coastal regions of Russia, 2011–2018.
The innovation performance of the coastal regions of Russia, 2011–2018.

Fig. 3

The ratio of the final index of innovative performance and indicators of interregional and international migration in 2011–2018.Note: The circle diameter indicates the value of the innovation performance index. Regions with an index greater than 1 are shown in grey. The blue frame is used for migration core regions attracting the majority of people; the regions with an extremely weak manifestation of the specifics of migration processes are in the green frame; yellow frame shows regions that combine the pronounced roles of the centre of migration from other countries and the outflow to other Russian regions with a high share of replacement of the outflow by the inflow (more than 50%); red frame shows regions of the outflow area of migrants.
The ratio of the final index of innovative performance and indicators of interregional and international migration in 2011–2018.Note: The circle diameter indicates the value of the innovation performance index. Regions with an index greater than 1 are shown in grey. The blue frame is used for migration core regions attracting the majority of people; the regions with an extremely weak manifestation of the specifics of migration processes are in the green frame; yellow frame shows regions that combine the pronounced roles of the centre of migration from other countries and the outflow to other Russian regions with a high share of replacement of the outflow by the inflow (more than 50%); red frame shows regions of the outflow area of migrants.

Russian coastal regions by the crude rate of net migration for 2011–2018.

Crude rate of net migration, per 1,000 people Centre of migrants’ attraction from other countries (>10.0) Centre of migrants’ attraction from other countries (>10.0) with compensation for interregional outflow, % Territories with average (5.0–9.9) and low (0.0–4.9) level of attraction of migrants from other countries with compensation for interregional outflow, %
100 50–75 30–40 0–20 100 30–40 0–20
Centre of migrants’ attraction from other regions of Russia (>10.0) LEN SEV KDA
KGD SPE
Average (5.0–9.9) and low (0.0–4.9) level of attraction of migrants from other regions of Russia CR
Low (−4.9 to 0.0) and medium (−14.9 to −5.0) outflow of migrants to other regions of Russia KYA ROS
Strong outflow of migrants to other regions of Russia (<−15.0) SAK AST KHA MUR PRI SA KL
YAN KAM CHU MAG KR DA ARK
NEN

Assessment of the coastal regions of Russia by some indicators of innovative attractiveness, 2011–2019.

Region Level of innovation activity, % Coefficient of inventive activity, units per 10,000 people Researchers under age of 39 per total number of researchers, % Number of high-performance workplaces per employed Average nominal wages
Russian Federation 9.29 1.82 41.46 0.25
Arkhangelsk region 5.81 0.72 49.58 0.33 1.03
Astrakhan region 8.55 0.82 41.66 0.17 0.75
Sevastopol 3.68 1.24 32.06 0.22 0.51
St. Petersburg 17.20 3.37 41.28 0.31 1.32
Kaliningrad region 4.14 0.65 39.55 0.22 0.80
Kamchatka Krai 14.45 0.34 42.30 0.33 1.65
Krasnodar region 7.71 0.95 39.73 0.16 0.78
Krasnoyarsk region 8.62 1.33 48.36 0.29 1.02
Leningrad region 9.35 0.67 29.80 0.24 0.98
Magadan region 17.16 0.49 30.90 0.35 1.92
Murmansk region 8.99 0.45 36.68 0.30 1.32
Nenets Autonomous Okrug 6.15 0.23 63.00 0.63 1.97
Primorsky Krai 7.68 0.97 34.48 0.26 0.98
Republic of Dagestan 5.65 1.67 31.10 0.08 0.57
Republic of Kalmykia 2.35 0.72 44.94 0.15 0.59
Republic of Karelia 7.64 0.47 40.28 0.26 0.90
Republic of Crimea 5.27 0.31 32.54 0.20 0.48
Republic of Sakha (Yakutia) 7.45 0.78 38.33 0.36 1.48
Rostov region 8.32 1.57 46.71 0.21 0.72
Sakhalin region 3.70 0.17 47.64 0.25 1.74
Khabarovsk region 10.49 1.10 35.11 0.28 1.10
Chukotka Autonomous District 16.04 0.20 67.27 0.51 2.31
Yamalo-Nenets Autonomous District 7.46 0.50 50.53 0.53 2.26

Gross migration and balance of migration in coastal and inland regions of Russia in 1993–2018.

Migration intensity coefficient, per 1,000 people Share of total value in Russia, %
International Interregional International Interregional
1993–1996 1997–2002 2003–2010 2011–2018 1993–1996 1997–2002 2003–2010 2011–2018 1993–1996 1997–2002 2003–2010 2011–2018 1993–1996 1997–2002 2003–2010 2011–2018
Gross migration
Coastal regions 9.9 3.8 1.7 7.4 23.9 17.7 13.8 32.7 25.4 22.8 20.4 31.5 28.9 27.9 26.6 29.0
Inland regions 8.6 3.8 1.9 5.0 17.2 13.3 11.2 25.0 74.6 77.2 79.6 68.5 71.1 72.1 73.4 71.0
Inland regions excluding Moscow 8.9 3.9 2.0 5.2 17.7 13.5 11.4 24.4 71.4 72.1 74.2 63.4 67.0 66.6 67.1 61.7
Moscow 4.6 2.9 1.3 3.3 13.5 11.7 9.8 29.7 3.2 5.1 5.4 5.0 4.4 5.5 6.4 9.3
Russia 8.9 3.8 1.9 5.6 18.8 14.3 11.8 26.9 100.0 100.0 100.0 100.0 100.0 100.0 100.0 100.0
Migration balance
Coastal regions 13.0 5.5 7.0 15.7 −7.2 −7.3 −1.8 8.9 18.9 14.5 17.9 24.1
Inland regions 16.3 9.5 9.3 15.3 3.6 3.1 0.6 –2.8 81.1 85.5 82.1 75.9
Inland regions excluding Moscow 17.6 9.8 9.7 16.2 3.1 0.8 −3.3 −9.2 80.7 80.2 76.9 71.5
Moscow 1.1 6.8 5.8 8.2 4.9 27.3 35.7 48.8 0.4 5.3 5.2 4.4
Russia 15.6 8.6 8.8 15.4 100.0 100.0 100.0 100.0

Methodology for calculating the innovation attractiveness index.

Indicator Calculation method and impact on attractiveness for migration of highly qualified personnel Data source, period
Level of innovation activity, % Calculated as share of innovative companies in total number of companies in region;Enables assessing market of employers who are potentially interested in highly qualified specialists and representatives of creative class; The efficiency of the Russian economy. Rosstat.https://rosstat.gov.ru/folder/11186, 2011–2018
Number of high-performance workplaces per employed, units Calculated as ratio of number of high-performance workplaces to average number of employees;It provides estimate of jobs created at enterprises whose employees receive average monthly wage above threshold value necessary to ensure development of economy;For individual entrepreneurs, average revenue is taken into account; The efficiency of the Russian economy. Rosstat.https://rosstat.gov.ru/folder/11186, 2013–2019
Coefficient of inventive activity, units per 10,000 people Calculated as number of domestic patent applications for inventions filed in Russia per 10,000 people;Evaluates creativity of labour resources in region; The efficiency of the Russian economy. Rosstat.https://rosstat.gov.ru/folder/11186, 2011–2018
Researchers under age of 39 per total number of researchers, % Calculated as share of researchers under age of 39 in total number of researchers;Evaluates human resources potential of science, which is of decisive importance for generation of scientific and technical knowledge as basis for innovation; Target indicators for the implementation of the Strategy for innovative development of the Russian Federation for the period up to 2020. Rosstat.https://rosstat.gov.ru/folder/14477#, 2011–2018
Average nominal wages, units Calculated as ratio of average nominal wage in region to average nominal wage in Russia;Evaluates attractiveness of region's labour market. Average monthly nominal and real wages of employees of organisations. Rosstat.https://rosstat.gov.ru/labor_market_employment_salaries, 2013–2019
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Geowissenschaften, Geografie