Digital Economy in the Context of Phylogenesis of Innovation and Market Development

P.V. Stroev; D.V. Firsov; S.B. Reshetnikov

doi:10.6000/1929-7092.2019.08.35

Authors

P.V. Stroev Financial University under the Government of the Russian Federation, Moscow
D.V. Firsov Financial University under the Government of the Russian Federation, Moscow
S.B. Reshetnikov Financial University under the Government of the Russian Federation, Moscow

DOI:

https://doi.org/10.6000/1929-7092.2019.08.35

Keywords:

Digital economy, clusters, innovation, E-governance, E-health, E-education, E-business.

Abstract

Understanding the phylogenetic origin of a concept of innovation stands as the main precipice in establishing a sustainable concept of innovation. And as a scientific direction in studying emergence, distribution and commercialization of innovations. Primary Novelty of present article is expressed through analysis of neoindustrialization as a process of transition to a new economic paradigm through renewal of industrial infrastructure and its form of organization in a Technetronic phase of development. Comparative, comprehensive and factor analysis stands as the main methodology for the present article. Primary data consists of government and commercial statistics. The empirical analysis shows the importance of the vertically integrated structures in the course of new cluster development as well as their weight and importance in the development of the modern digital economy.

Results of a research of Economist Intelligence Unit in 82 countries of the world say that such countries as Mexico or China, quickly improve the skills in the field of innovations. The research allowed being elicited one remarkable fact: the countries with the average level of economic welfare have additional benefits that introduction of domestic innovative developments stimulates also faster development of foreign experience.

References

Ballas, D and Clarke G P (2001a) „Modelling the local impacts of national social policies: a spatial microsimulation approach?, Environment and Planning C: Government and Policy, 19(4), 587-606.
https://doi.org/10.1068/c0003
eMarketer, Worldwide Retail and E-commerce Sales, 2018. URL: eMarketer, Worldwide Retail and E-commerce Sales, 2018.
European Commission, Digital Single Market Strategy, May 2015. URL: https://ec.europa.eu/commission/sites/beta-political/files/2-years-on-dsm_en_0.pdf.
Glazyev S. Yu. Theory of long-term technical and economic development. – M, 1993.
James M Utterback and William J Abernathy A dynamic model of process and product innovation Omega, 1975, vol. 3, issue 6, 639-656
https://doi.org/10.1016/0305-0483(75)90068-7
Kondratyev N.D. Problems of economic dynamics. – M, 1989.
Lee-Makiyama, Ferracane, China's Technology Protectionism and its Non-negotiable Rationales, ECIPE, 2017.
O?Donoghue C, Lennon J and Hynes S (2009) „The Life-Cycle Income Analysis Model (LIAM): A Study of a Flexible Dynamic Microsimulation Modelling Computing Framework?, International Journal of Microsimulation, 2(1), 16-31. (http://www.microsimulation.org/IJM/ V2_1/IJM_2_1_2.pdf) [accessed 25 July 2018]
Regulatory Assessment & FDI Review. URL: http://www.lse.ac.uk/business-and-consultancy/consulting/assets/documents/at-the-nexus-of-trade-and-investment-sectoral-paper-digital-economy.pdf.
Smith D M, Clarke G P and Harland K (2009) „Improving the synthetic data generation process in spatial microsimulation models?, Environment and Planning A, 41(5), 1251 - 1268.
https://doi.org/10.1068/a4147
Statistical Handbook of Japan 2017. URL: http://www.stat.go.jp/english/data/handbook/c0117.html
Yamagata, Adways to expand analysis of China cross-border e-commerce, Nikkei Asian Review, March 13, 2017.
??26??ICT??????? Ministry of Internal Affairs and Communications URL:http://www.soumu.go.jp/main_content/000319905.pdf.