INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 827
INNOVATIVE INFRASTRUCTURE EFFICIENCY ASSESSMENT INDICATORS
AND THEIR DEVELOPMENT STAGES
B.F.Azimov
Asia International University Associate Professor of the
" Economics" Department :
Abstract:
This article provides an in-depth analysis of methodological approaches,
international experiences and indicators for assessing the effectiveness of innovation
infrastructure. The article analyzes various economic bulletins and manuals, including
statistical approaches based on the Frascati and Oslo manuals, as well as the stages of
development of indices such as the Global Innovation Index. Also, a comprehensive
approach is developed based on a system of indicators for assessing innovation potential,
costs and results proposed by Uzbek scientists and foreign researchers. The indicators of the
effectiveness of innovation infrastructure at the macro, meso and nano levels are considered
in groups. As a result innovative activity efficiency territorial and institutional at the level
assessment opportunity giver indicators system offer is being done .
Key words:
innovative infrastructure , efficiency indicators , evaluation
methodology ,
Frascati Manual , Oslo Manual , Global Innovation Index, innovation potential , R&D,
patents , innovation activity , technological development , indicators system
World in practice innovative infrastructure development level appraiser many
various indicators available . Innovative infrastructure efficiency whether it is national be it
regional at the level let's see , evaluate indicators system national and territorial to the
features is based on .
Regional innovative infrastructure under the influence innovative activity
measurement his/her territorial features because of complicated is a problem . The whole
head innovative infrastructure activity analysis to do for only one from the indicator use
methodological from a point of view many problems brought release possible
Frascati Manual
since creation since many in countries research and experimental
design works according to information systematic accordingly collected
. Quite a lot far
periods during patents whole world patent offices by record arrived Bibliometric
information publications announcement to be done and this to publications quotes wide in
appearance
Oslo Guide
instructions according to statistics offices farm driver from
subjects their innovations about straight away requests are being held
.
Innovative infrastructure results as of the company , of the region or of the country
innovative potential and the results assessment for this analysis which indicators based on
done increase understanding need . That's all . attention worthy , innovative indicators
system himself/herself last one how many ten annuals inside noticeable to changes face came .
1
Erqian Zhu. University of Nevada, Reno. Essays on Factors of Innovation, Regional Economic Impacts from Rangeland
Fires, and Estimation of Health Impacts from Wildfires. A dissertation submitted in partial fulfillment of the Requirements
for the degree of Degree of Philosophy in Resource Economics by Erqian Zhu, Nevada, December, 2010, page 9-10.
2
OECD (1963), Frascati Manual 1963: Proposed Standard Practice for Surveys of Research and Development, The
Measurement of Scientific and Technological Activities, OECD Publishing, Paris, https://doi.org/10.1787/a9f6ca4b-en.
3
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 828
That is. innovative infrastructure under the influence innovative activity assessment
indicators priority historical in periods changing went . Innovative infrastructure efficiency
assessment issue , especially in the second half of the 20th century half starting from ,
economic politics important structural part as seeing
is being released . This the period
conditional 5 historical to the stage we will be :
1. 1950s–1970s: Scientific research expenses based Rating :
Second world from the war then society science of progress main driving force power and of
innovations main source as acceptance did the research and to developments investment to
enter separately attention This approach is called “input-based evaluation , ” meaning to the
process included resources based on assessment priority was . During this period innovative
infrastructure mainly state by funded research institutes through formed . This because of ,
the main efficiency indicators of the following consists of was :
Research and experimental design allocated to research and development (R&D)
amount of funds ;
Scientific employees number ;
Printed scientific articles number
.
2. 1980–1990: Patents and commercialization Level :
Neoliberal economic politics in the background state intervention decrease , private sector
activation was observed . During this period innovations financial results with tie
trend
increased . Therefore in evaluation following indicators important place occupied :
Patent applications and given patents number ;
Commercialized innovations level ;
Technology transfer size
3. 2000–2010: Innovative systems and them evaluation complex Indicators :
National
innovative system (NIS) concept based on efficiency complex in a way surveyor indexes
created
Global Innovation Index (GII);
Innovation Output Indicator (European Commission);
Knowledge Economy Index (World Bank)
These indicators
not only patents and scientific activity , maybe education quality ,
infrastructure development , information technologies level , state of the policy flexibility
such as factors as well inside takes
4. 2010 to present to date : Sustainability , inclusion and social Impact :
Near in years innovative infrastructures in evaluation only economic benefit not , maybe
4
Godin, B. (2005). Measurement and Statistics on Science and Technology: 1920 to the Present. Routledge.
https://www.routledge.com/Measurement-and-Statistics-on-Science-and-Technology-1920-to-the-
Present/Godin/p/book/9780415649995?srsltid=AfmBOooZ_x0VCK1PQi8BXDsMp9HvYzbaQ6QOImmi7OwP3XgU-
5
OECD. (1992). Technology and the Economy: The Key Relationships. OECD Publishing. Academia.
https://www.amazon.com/Technology-Organization-Economic-Co-operation-Development/dp/9264136223
6
Freeman, C. (1987). Technology Policy and Economic Performance: Lessons from Japan. Pinter Publishers.
https://archive.org/details/technologypolicy00free/page/n5/mode/2up?, Lundvall, B. Å. (1992). National Systems of
Innovation: Toward a Theory of Innovation and Interactive Learning. Pinter Publishers.
https://www.jstor.org/stable/j.ctt1gxp7cs?utm
7
World Bank. (2009). Knowledge Economy Index (KEI) Methodology and World Bank Operations.
8
Dutta, S., Lanvin, B., & Wunsch-Vincent, S. (Eds.). (2014). The Global Innovation Index 2014: The Human Factor in
Innovation. WIPO. https://www.wipo.int/edocs/pubdocs/en/economics/gii/gii_2014.pdf?
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
https://www.academicpublishers.org/journals/index.php/ijai
page 829
social and ecological efficiency is also taken into account is being taken . Innovative of
activity stable to develop added contribution , social equality and ecological to balance the
effect appraiser indicators increasingly current become is coming :
Innovation Index ( based on the United Nations Development Programme );
Inclusive Innovation Index (MIT, 2017);
Green Innovation Indicators (OECD, 2020).
Innovation of activity development new ideas working exit and personnel potential
from development pull until financial , material and technical , information , legislative ,
methodological and organizational up to supply was
innovative of the process basis
organization doer various events of the complex done increase demand does . From that come
out , from Uzbekistan from the authors Y. E. Aliev innovative development rating in
the making experts 7 to the criterion justification explains :
Research and to developments being directed expenses ;
GDP composition ( shares in appearance ) ;
In GDP technological working release value ;
In industry efficiency ;
In the country high technologies in the sector computers number ;
Services of the scope developed ;
Professional researchers number ;
Patents number
.
Many research usually innovative measurements two to the group distinguishes :
innovation current to be and innovations results . But , Deepak Hegde own dissertation at
work following indicators recommendation will
1. Every thousand person between innovative those employed in the field number , B;
2. Capital investments volume , Kg;
3. Capital investments intensity , KQ/B;
4. Research and experimental design to their work expenses , X (ITTKI);
5. Research and experimental design works intensity , X (ITTKI)/B;
6. Patents number , P;
7. Patents intensity , P/X (ITTKI);
8. Technologies transfer ( patents) commercialization ) number , TTS;
9. Technologies transfer ( patents) commercialization ) period , priority year – TTS year ;
10. Innovative companies activity show period ( year ).
T. Kashitsina by innovative infrastructure development level innovative infrastructure
objects point of view from the point of view not , maybe their innovative in process from the
participation come came out without assessment to the goal compatibility knocking is
passed .
Many scientists innovative activity innovative potential with In this place
innovative potential concept subjects at your disposal innovative activity done increase for
necessary was of resources generalized features as used . O. Avanesyan in research as shown ,
9
Y. E. Aliev . Innovative Economics . Education manual . - Tashkent: Economics , 2019 , 236 pages.
10
Essays on Institutions and Innovation by Deepak Hegde. A dissertation submitted in partial satisfaction of the requirements
for the degree of Doctor of Philosophy in Business Administration in the Graduate Division of the University of California,
Spring 2010, 80p.
11
Methodology for the development of innovative infrastructure in the region, thematic dissertation and abstract of VAK RF
08.00.05. Kashitsyna Tatyana N i kolaevna . 2009
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
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page 830
innovative activity done increase ( research) transfer or new product for output ) company
following main resources to the collection has to be need because :
♦ Production release objects and / or research base ;
♦ Necessary to the qualification has was employees ;
♦ Scientific data , production release technologies and others ;
♦ Development or working release for finance ;
♦ Information resources ;
♦ Products to the market to release providing distribution networks
.
Above cited from thoughts come out in our opinion , innovative infrastructure of
subjects relevant to the levels to be issued without innovative infrastructure subjects activity
assessment indicators following to groups divided without analysis to do ( Table 1).
Innovative infrastructures of the region scientific , technological and economic potential in
increasing solution doer role burn in consideration take his/her efficiency clear and objective
assessment for modern and complex approach necessary . Research within working issued
integral assessment model capacity , costs and
results
each other related system as
seeing It turns out that in the model included indicators quantitative ( e.g. , innovative to
projects separated funds , foreign investments size , innovative products size ) and
qualitative-expert ( e.g. , personnel) capacity , infrastructure organization doneness level )
type to be because of to measure them in a single way to bring need is born .
This point of view in view of all Converting numbers to natural logarithms (ln) through
analysis to do methodological in terms of to the goal appropriate become indicators between
dispersion and size differences to reduce , m data distribution to the normal distribution
approximation , exponential growing or sharp differentiable indicators the impact to soften
and indicators to analysis impact level logarithmic elasticity through to explain opportunity
creates . Conclusion as in other words , regional innovative Integrated assessment of
infrastructure model through his/her socio-economic efficiency determination opportunity is
created . This is state and territorial management to the organs innovative strategies further
effective planning and done increase for necessary basis to be service does .
Table 1
Innovative infrastructure elements integral indicators of activity schedule
12
RAZVITIE INNOVATSIONNOY INFRASTRUKTURY NA OSNOVE KORPORATIVNOY RESTRUKTURIZATsII.
08.00.05 - Economics and management of the national economy (management of innovation and investment activity) 2008.
AVANESYAN Oleg Sergeevich
INTERNATIONAL JOURNAL OF ARTIFICIAL INTELLIGENCE
ISSN: 2692-5206, Impact Factor: 12,23
American Academic publishers, volume 05, issue 05,2025
Journal:
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page 831
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