wisemapping-frontend/packages/mindplot/test/unit/export/expected/bug3.txt

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