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316 lines
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316 lines
16 KiB
Plaintext
1 Indicator needs
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1.1 Which new measures
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1.1.1 Landscape of measures
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1.1.1.1 Diversity index of innovation support instruments in the region
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1.1.1.2 Existing investments in measures
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1.1.2 What other regions do differently
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1.1.2.1 Balance of measure index
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1.1.2.2 Profile comparison with other regions
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1.1.2.3 Number of specific types of measures per capita
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1.2 How to design & implement measures
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1.2.1 Good practices
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1.2.2 Diagnostics
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1.2.2.1 Internal business innovation factors
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1.2.2.2 Return on investment to innovation
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1.2.2.2.1 Firm's turnover from (new to firm)
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product innovation (as a pecentage of total turnover)
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1.2.2.2.2 Increase in the probability to innovate linked to ICT use
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(in product innovation, process innovation, organisational innovaton, marketing innovation)
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1.2.2.2.3 Scientific articles by type of collaboration (per capita)
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(international co-authoriship, domestic co-authoriship, single author)
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1.2.2.2.4 Increase in a share of expenditures on technological
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innovations in the total amount of regional firms’ expenditures, %
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1.2.2.2.5 Increase in the number of innovative companies with in-house R&D
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1.2.2.2.6 Increase in th number of innovative companies without in-house R&D
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1.2.2.2.7 Increase in th number of firms with
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international/national collaboration on innovation
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1.2.2.2.8 Highly cited scientific articles (as a percentage of
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highly cited scientific article in the whole Federation)
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1.2.2.2.9 Patents filed by public research organisations
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(as a percentafe of patent application filed under PCT)
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1.2.2.2.10 Number of international patents
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1.2.2.2.11 Start-up activity (as a percentage of start-up activity in the whole Federation)
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1.2.2.2.12 Number of innovative companies to the number of students
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1.2.2.2.13 Number of innovative companies to the number of researchers
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1.2.2.2.14 Volume of license agreements to the volume of R&D support from the regional budget
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1.3 How much effort: where & how
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1.3.1 The bottom-line
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1.3.1.1 Wages
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1.3.1.1.1 Dynamics of real wages
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1.3.1.1.2 Average wage (compare to the Fed)
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1.3.1.2 Productivity
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1.3.1.2.1 Labor productivity
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1.3.1.2.2 Labor productivity growth rate
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1.3.1.3 Jobs
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1.3.1.3.1 Share of high-productive jobs
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1.3.1.3.2 Share of creative industries jobs
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1.3.1.3.3 Uneployment rate of university graduates
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1.3.1.4 Income
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1.3.1.4.1 GRP per capita and its growth rate
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1.3.2 Influencing factors
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1.3.2.1 Economy
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1.3.2.1.1 Economic structure
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1.3.2.1.2 Volume of manufacturing production per capita
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1.3.2.1.3 Manufacturing value added per capita (non-natural resource-based)
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1.3.2.2 The enabling environment
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1.3.2.2.1 Ease of doing business
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1.3.2.2.1.1 Level of administrative barriers (number and cost of administrative procedures)
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1.3.2.2.2 Competition index
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1.3.2.2.3 Workforce
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1.3.2.2.3.1 Quality of education
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1.3.2.2.3.1.1 Inrease in the number of International students
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1.3.2.2.3.2 Quantity of education
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1.3.2.2.3.2.1 Participation in life-long learning
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1.3.2.2.3.2.2 Increase in literarecy
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1.3.2.2.3.2.3 Amount of university and colleague
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students per 10 thousands population
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1.3.2.2.3.2.4 Share of employees with higher education in
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the total amount of population at the working age
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1.3.2.2.3.2.5 Increase in University students
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1.3.2.2.3.2.6 Government expenditure on General University Funding
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1.3.2.2.3.2.7 Access to training, information, and consulting support
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1.3.2.2.3.3 Science & engineering workforce
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1.3.2.2.3.3.1 Availability of scientists and engineers
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1.3.2.2.3.3.2 Amount of researches per 10 thousands population
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1.3.2.2.3.3.3 Average wage of researches per average wage in the region
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1.3.2.2.3.3.4 Share of researchers in the total number of employees in the region
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1.3.2.2.4 Government
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1.3.2.2.4.1 Total expenditure of general government as a percentage of GDP
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1.3.2.2.4.2 Government expenditure on Economic Development
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1.3.2.2.5 Access to finance
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1.3.2.2.5.1 Deals
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1.3.2.2.5.1.1 Venture capital investments for start-ups as a percentage of GDP
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1.3.2.2.5.1.2 Amounts of business angel, pre-seed, seed and venture financing
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1.3.2.2.5.1.3 Amount of public co-funding of business R&D
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1.3.2.2.5.1.4 Number of startups received venture financing
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1.3.2.2.5.1.5 Number of companies received equity investments
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1.3.2.2.5.2 Available
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1.3.2.2.5.2.1 Amount of matching grants available in the region for business R&D
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1.3.2.2.5.2.2 Number of Business Angels
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1.3.2.2.6 ICT
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1.3.2.2.6.1 ICT use
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1.3.2.2.6.2 Broadband penetration
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1.3.2.2.6.3 Internet penetration
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1.3.2.2.6.4 Computer literacy
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1.3.2.3 Behavior of innovation actors
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1.3.2.3.1 Access to markets
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1.3.2.3.1.1 FDI
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1.3.2.3.1.1.1 foreign JVs
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1.3.2.3.1.1.2 Inflow of foreign direct investments in high-technology industries
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1.3.2.3.1.1.3 Foreign direct investment jobs
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1.3.2.3.1.1.4 FDI as a share of regional non natural resource-based GRP
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1.3.2.3.1.1.5 Number of foreign subsidiaries operating in the region
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1.3.2.3.1.1.6 Share of foreign controlled enterprises
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1.3.2.3.1.2 Exports
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1.3.2.3.1.2.1 Export intensity in manufacturing and services
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1.3.2.3.1.2.2 Share of high-technology export in the total volume
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of production of goods, works and services
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1.3.2.3.1.2.3 Share of innovation production/serivces that goes for export,
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by zones (EU, US, CIS, other countries
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1.3.2.3.1.3 Share of high-technology products in government procurements
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1.3.2.3.2 Entrepreneurship culture
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1.3.2.3.2.1 Fear of failure rate
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1.3.2.3.2.2 Entrepreneurship as desirable career choice
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1.3.2.3.2.3 High Status Successful Entrepreneurship
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1.3.2.3.3 Collaboration & partnerships
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1.3.2.3.3.1 Number of business contracts with foreign partners for R&D collaboration
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1.3.2.3.3.2 Share of R&D financed from foreign sources
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1.3.2.3.3.3 Firms collaborating on innovation with organizations in other countries
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1.3.2.3.3.4 Share of Innovative companies collaborating
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with research institutions on innovation
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1.3.2.3.3.5 Number of joint projects conducted by the local comapnies
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and local consulting/intermediary agencies
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1.3.2.3.3.6 science and industry links
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1.3.2.3.4 Technology absorption
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1.3.2.3.4.1 Local supplier quality
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1.3.2.3.4.2 Share of expenditures on technological innovations
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in the amount of sales
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1.3.2.3.4.3 Number of purchased new technologies
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1.3.2.3.4.4 Investments in ICT by asset (IT equipment,
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communication equipment, software)
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1.3.2.3.4.5 Machinery and equipment
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1.3.2.3.4.6 Software and databases
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1.3.2.3.4.7 Level of energy efficiency of the regional economy
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(can be measured by sectors and for the whole region)
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1.3.2.3.4.8 Share of wastes in the total volume of production (by sector)
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1.3.2.3.5 Innovation activities in firms
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1.3.2.3.5.1 Share of innovative companies
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1.3.2.3.5.2 Business R&D expenditures per GRP
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1.3.2.3.5.3 Factors hampering innovation
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1.3.2.3.5.4 Expenditure on innovation by firm size
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1.3.2.3.5.5 R&D and other intellectl property products
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1.3.2.3.5.6 Growth of the number of innovative companies
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1.3.2.3.5.7 Outpus
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1.3.2.3.5.7.1 Volume of new to Russian market production per GRP
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1.3.2.3.5.7.2 Volume of new to world market production per total production
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1.3.2.3.5.7.3 Growth of the volume of production of innovative companies
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1.3.2.3.5.7.4 Volume of innovation production per capita
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1.3.2.3.6 Entrepreneurial activities
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1.3.2.3.6.1 New business density
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1.3.2.3.6.2 Volume of newly registered corporations
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1.3.2.3.6.3 Share of gazelle companies in the total number of businesses
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1.3.2.3.7 R&D production
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1.3.2.3.7.1 Outputs
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1.3.2.3.7.1.1 Amount of domestically protected intellectual
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property per 1 mln. population
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1.3.2.3.7.1.2 Amount of PCT-applications per 1 mln. population
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1.3.2.3.7.1.3 Number of domestic patent applications per R&D expenditures
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1.3.2.3.7.1.4 Number of intellectual property exploited by regional
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enterprises per 1 mln. population
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1.3.2.3.7.1.5 Publication activity of regional scientists and researches
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1.3.2.3.7.2 Inputs
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1.3.2.3.7.2.1 Regional and local budget expenditures on R&D
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1.3.2.3.7.2.2 Government R&D expenditure
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1.3.2.3.8 Public sector innovation
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1.3.2.3.8.1 Number of advanced ICT introduced in the budgetary organizations
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(regional power, municipal bodies, social and educational organizations)
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1.3.2.3.8.2 E-government index
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1.3.2.3.8.3 Number of management innovations introduced in the budgetary organizations
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(regional power, municipal bodies, social and educational organizations)
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1.3.2.4 Supporting organizations
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1.3.2.4.1 Research institutions
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1.3.2.4.1.1 Collaboration
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1.3.2.4.1.1.1 Number of interactions between universities
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and large companies by university size
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1.3.2.4.1.2 Resources
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1.3.2.4.1.2.1 R&D expenditures per 1 researcher
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1.3.2.4.1.2.2 Average wage of researches per average wage in the region
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1.3.2.4.1.2.3 High education expenditure on R&D
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1.3.2.4.1.3 Scientific outputs
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1.3.2.4.1.3.1 Publications
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1.3.2.4.1.3.1.1 Impact of publications in the ISI database (h-index)
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1.3.2.4.1.3.1.2 Number of publications in international journals per worker per year
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1.3.2.4.1.3.1.3 Publications: Academic articles in international peer-reviewed
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journals per 1,000 researchers [articles/1,000 researchers].
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1.3.2.4.1.3.2 Number of foreign patents granted per staff
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1.3.2.4.1.4 Supportive measures
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1.3.2.4.1.4.1 Diversity index of university entrepreneurship support measures
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1.3.2.4.1.5 Commercialization
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1.3.2.4.1.5.1 Licensing
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1.3.2.4.1.5.1.1 Academic licenses: Number of licenses
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per 1,000 researchers.[licenses/researcher]
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1.3.2.4.1.5.2 Spin-offs
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1.3.2.4.1.5.2.1 Number of spin-offs with external private financing
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as a share of the institution's R&D budget
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1.3.2.4.1.5.3 Industry contracts
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1.3.2.4.1.5.3.1 Industry revenue per staff
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1.3.2.4.1.5.3.2 Foreign contracts: Number of contracts with foreign industria
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l companies at scientific and educational organizations
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per 1,000 researchers [contracts/researchers]
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1.3.2.4.1.5.3.3 Share of industry income from foreign companies
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1.3.2.4.1.5.3.4 Revenue raised from industry R&D as a fraction
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of total institutional budget (up to a cap)
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1.3.2.4.1.5.3.5 Difficulties faced by research organization in collaborating with SMEs
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1.3.2.4.2 Private market
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1.3.2.4.2.1 Number of innovation & IP services organizations
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1.3.2.4.2.2 Number of private innovation infrastructure organizations
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1.3.2.4.2.3 Access to certification and licensing for specific activities
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1.3.2.4.2.4 Access to suppliers of equipment, production and engineering services
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1.3.2.4.3 Innovation infrastructure
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1.3.2.4.3.1 Investments
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1.3.2.4.3.1.1 Public investment in innovation infrastructure
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1.3.2.4.3.1.2 Increase of government investment in innovation infrastructure
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1.3.2.4.3.1.3 Number of Development institution projects performed in the region
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1.3.2.4.3.1.4 Volume of seed investments by the regional budget
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1.3.2.4.3.1.5 Volume of venture financing from the regional budget
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1.3.2.4.3.2 Volume of state support per one company
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1.4 What to do about existing measures
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1.4.1 Demand for measure
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1.4.1.1 Quality of beneficiaries
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1.4.1.1.1 Growth rates of employment in supported innovative firms
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1.4.1.1.2 Growth rates of employment in supported innovative firms
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1.4.1.1.3 Role of IP for tenants/clients
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1.4.1.1.4 Share of tenants with innovation activities
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1.4.1.1.5 Gazelle tenant: Share of tenants with
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annual revenue growth of more than 20%
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for each of the past four years or since formation [%]
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1.4.1.1.6 Globalization of tenants: Median share of tenant
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revenues obtained from exports [%]
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1.4.1.2 Number of beneficiaries
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1.4.1.2.1 Number of projects conducted by companies in cooperation with innovation infrastructure
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1.4.1.2.2 Scope and intensity of use of services offered to firms
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1.4.1.2.3 Number of companies supported by the infrastructure (training, information, consultations, etc.)
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1.4.1.2.4 Increase in the number of business applying for public support programmes (regional, federal, international)
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1.4.1.3 Degree of access
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1.4.1.3.1 Level of awareness
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1.4.1.3.1.1 Perception (opinion poll) of business managers
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regarding public support programmes
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1.4.1.3.2 Transparency
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1.4.1.3.2.1 Perception of business managers in terms
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of level of transparency of support measures in the region
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1.4.1.3.3 Description by regional business managers of the way the
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select and apply for regional and federal support schemes
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1.4.1.4 Number of applicants
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1.4.1.4.1 Increase in the number of business applying for public support programmes
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1.4.1.4.2 Number of companies that know about a particular program
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1.4.1.4.3 Increase in the number of start-ups applying to receive VC investments
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1.4.1.4.4 Increase in the number of start-ups applying for a place in the incubators
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1.4.2 Inputs of measures
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1.4.2.1 Qualified staff
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1.4.2.2 Budget per beneficiary
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1.4.3 Performance of measure
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1.4.3.1 Implementation of measure
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1.4.3.1.1 Target vs. actual KPIs
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1.4.3.1.2 Intermediate outputs per budget
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1.4.3.1.3 Qualification of staff
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1.4.3.2 Output of measure
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1.4.3.2.1 Opinion surveys
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1.4.3.2.1.1 Opinions of beneficiaries
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1.4.3.2.2 Hard metrics
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1.4.3.2.2.1 Output per headcount (e.g. staff, researchers)
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1.4.3.2.2.2 Productivity analysis
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1.4.4 Impact of measure
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1.4.4.1 Opinion surveys
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1.4.4.1.1 Perception of support impact (opinion polls)
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1.4.4.1.2 Perception of the activity of regional government by the regional companies
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1.4.4.2 Hard metrics
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1.4.4.2.1 Increase in number of small innovation enterprises
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1.4.4.2.2 Growth of the total volume of salary in the supported companies (excluding inflation)
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1.4.4.2.3 Growth of the volume of regional taxes paid by the supported companies
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1.4.4.2.4 Growth of the volume of export at the supported companies
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1.4.4.2.5 Number of new products/projects at the companies that received support
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1.4.4.3 Impact assessment
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1.4.4.4 Average leverage of 1rub (there would be
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several programs with different leverage)
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1.4.4.5 Volume of attracted money per one ruble
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of regional budget expenditures on innovation projects
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1.5 What investments in innovative projects
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1.5.1 Competitive niches
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1.5.1.1 Clusters behavior
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1.5.1.1.1 Cluster EU star rating
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1.5.1.1.2 Share of value added of cluster enterprises in GRP
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1.5.1.1.3 Share of cluster products in the relevant world market segment
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1.5.1.1.4 Share of export in cluster total volume of sales
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1.5.1.1.5 Growth of the volume of production in the cluster companies
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1.5.1.1.6 Growth of the volume of production in the cluster companies
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to the volume of state support for the cluster
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1.5.1.1.7 Growth of the volume of innovation production in the cluster
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1.5.1.1.8 Share of export in cluster total volume of sales (by zones: US, EU, CIS, other countries)
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1.5.1.1.9 Internal behavior
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1.5.1.1.9.1 Median wage in the cluster
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1.5.1.1.9.2 Growth of the volume of R&D in the cluster
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1.5.1.1.9.3 Cluster collaboration
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1.5.1.2 R&D
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1.5.1.2.1 Patent map
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1.5.1.2.2 Publications map
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1.5.1.3 Industry
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1.5.1.3.1 FDI map
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1.5.1.3.2 Gazelle map
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1.5.1.3.3 Business R&D expenditures as a share of revenues by sector
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1.5.1.3.4 Share of regional products in the world market
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1.5.1.3.5 Expenditure on innovation by firm size, by sector
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1.5.1.4 Entrepreneurship
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1.5.1.4.1 Startup map
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1.5.1.4.2 Venture investment map
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1.5.1.4.3 Attractiveness to public competitive funding
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1.5.1.4.3.1 Fed and regional seed fund investments
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1.5.1.4.3.2 FASIE projects: Number of projects supported
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by the FASIE per 1,000 workers [awards/worker]
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1.5.2 Competitiveness support factors
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1.5.2.1 Private investment in innovation
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1.6 How to improve image
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1.6.1 Rankings
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1.6.1.1 macro indicators
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1.6.1.2 meso-indicators
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1.6.2 Innovation investment climate
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