Search results

In the last 15 years, the high-growth economic rates of the Russian Federation (RF) have been caused by expansion of the country's participation in the world's raw and energy markets. Now the economic growth opportunities at the expense of these factors are generally exhausted, Russia is faced by problems of high-quality updating of all aspects of socioeconomic and sociopolitical life. These tasks are dictated as external “major challenges” of global character, and internal processes. To confront the challenges and to minimize risks, Russia needs to change the raw model of economic growth which poses the threats for stability of social and economic development.

First, the scientific, technological, and innovative policy which is carried out by industrially developed countries and some new industrial countries is to create the answer to a challenge of maintaining competitiveness and achievement of high productivity rates now. Its purpose is to stimulate development and deployment of advanced technologies, whose productivity significantly exceeds characteristics of traditional technologies.

The happening changes are so considerable that the world enters, perhaps, in the largest technological transition for all history when the richness of natural resources and low cost of work stop being major factors of growth. In total, these changes are estimated as “new industrial revolution” or, in narrower sense, as “technological revolution” which are based on the transition from mass production of the standardized production to the flexible high-performance production which is turning out the individualized products.

In this regard, the productive inclusion in new technological revolution, the implementation of the structural maneuver in economy and social system, can become one of the main objectives for Russia until 2035. The RF should pass a new development model which is based on high-tech industries. It is about the start of the big national project (program) “National Technological Initiative” (NTI).

The implementation of project-planning office functions of NTI is the priority direction of management and modern tool for business which is provided due to the development of NTI planning office, its full-scale expansion, and removal on operational power for support of development and implementation of the plans of measures (“road maps”) of NTI and projects for implementation of “road maps.”

This chapter models industrial, tech, and financial cooperation between Russia and the countries of the Asia-Pacific region. We use several complex methods of economic and mathematical modeling to analyze specific features of such cooperation and determine critical factors in industrial, technological, and financial development. The preferable choice for the Asia-Pacific region is cooperation with Russia, which is ready for an increase in imports of industrial and high-tech products as well as joint industrial innovational entrepreneurship. Investments would lead to synergetic effects, ensuring simultaneous industrial, technological, and financial development.

The purpose of the chapter is to study peculiarities of formation of “green economy” in Russia and to substantiate the perspectives of its development by technological parks. The “green economy” is just appearing in Russia, as its volume is 4% of GDP as of now, with a downward trend for the recent 10 years. Favorable conditions for the formation of “green economy” are created in technological parks due to the attraction of the necessary volume of investments and increased state regulation. Technological park ‘Sinarsky’, West-Siberian innovational center (Tyumen technological park), and technological park of high-tech of Khanty-Mansi Autonomous Okrug show “green” initiatives. However, their share in the total structure of technological parks of Russia is only 2%. The volume of “green” investments in technological parks of Russia constitutes RUB 0.58 billion, and the volume of “green” production – RUB 9.153 billion, with 3,980 “green” jobs. The developed authors’ concept and the offered practical recommendations allow for the deeper study of the potential of technological parks in the context of the “green economy” in Russia. According to the forecast, their implementation will allow ensuring achievement of the share of “green” technological parks in their structure at the level of 30%, thus increasing the volume of “green” investments in Russia’s technological parks to RUB 7.888 billion: the volume of “green” production to RUB 124.48 billion, and the number of “green” jobs to 54,128. “Green” development of technological parks will allow increasing the volume of “green” economy in Russia by 3.2% until 2025.

“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

This chapter’s purpose is to check (prove or disprove) the argument in favour of technological discrimination of consumers of goods in the conditions of digital development, given the essence of sales conflict, its manifestations and perspectives of overcoming.

The literature review of the existing sources shows that they have an insufficient scientific basis for determining the essence of sales conflict, its manifestations, and perspectives of overcoming in the conditions of digital development and in view of technological discrimination of consumers of goods. To fill this gap in the system of scientific knowledge, the authors use the methods of comparative and correlation analysis of statistical data. The research objects are the top 10 countries from the G20, Latin America, the Caribbean, China, and the United States, which have the highest level of development of online trade and digitalization.

The authors perform an overview of the facts that determine that, from a scientific point of view, there are arguments in favour of technological discrimination of consumers of goods in the conditions of digital development from the position of the emergence of sales conflicts between companies and consumers of online goods. Modern economies are developing along the path of further increase in the technological gap between them, which could be caused by two reasons: differentiation in the level of socio-economic development of separate countries and their different susceptibility to the achievements of the digital economy and digital technologies. Countries with high innovative potential, but without effective innovative systems, undergo ‘digital transformation’. Countries with low innovative potential, but active borrowing and implementation of innovative technologies from abroad, undergo ‘digital adaptations’.

It is proved that the COVID-19 pandemic led to the change of consumer behaviour models, seriously influencing the structure of consumption. While the traditional retail trade is in stagnation, the sales volumes in the system of online commerce continue growing. Together with the development of online commerce, new types of conflicts emerge – they are caused by inequality in the level of technological and digital development of various countries of the world, as well as by discrimination of consumers.

Although the cottage industry of neoinstitutional research gained its momentum through a conceptual architecture that was centred on a bifurcation of technological/material forces and cultural dynamics, current research in this genre has begun to re-examine the utility of such distinctions. One of the downsides of such a conceptual distinction is that the institutional approach to technology is anachronistic, treating it as an exogenous force. Even though early work by Woodward and others usefully contributed to our understanding of organizations by highlighting how different technologies correlate with various organizational forms, recent scholarship has enhanced our more functional understanding of technology by highlighting processes of coevolution and structuration. In this chapter, we draw on such social constructionist developments in the study of technology to reanimate institutional analysis. More specifically, drawing on the case of the development of nanotube intellectual property, we focus on how technological knowledge production is embedded in community cultures. Our arguments and evidence suggest that there are distinctive community cultures around intensive versus extensive knowledge-generating patents, highlighting how an approach that appreciates the interactive dynamics of technology and culture can yield important insights into the institutional dynamics of technology development.

For at least the last 10 years, the Russian authorities have been declaring the need to move to an innovative path of economic development. The government actively initiates and applies various instruments and measures to promote innovation. However, the effectiveness of the Russian innovation policy is still in question. The chapter examines the evolution of state policy to foster innovation growth in Russia since 2000 and describes some sets of achievements and problems for different stages of this policy. In addition to analysis of changes in the innovation sphere at the macro-level, we discuss the primary motivations and limitations at the micro-level (firm level). As a result, the critical institutional barriers to innovation-based growth are revealed. In the same time, certain successes have been achieved in some sectors, and we consider various opportunities to improve Russian technological and innovation policy.

In this paper we appraise the ways in which use of closed-system proprietary product architectures versus open-system modular product architectures is likely to influence the dynamics and trajectory of new product market formation. We compare the evolutions of new markets in China for gas-powered two-wheeled vehicles (G2WVs) based (initially) on closed-system proprietary architectures and for electric-powered two-wheeled vehicles (E2WVs) based on open-system modular architectures. We draw on this comparison to suggest ways in which the use of the two different kinds of architectures as the basis for new kinds of products may result in very different patterns and speeds of new market formation. We then suggest some key implications of the different dynamics of market formation associated with open-system modular architectures for both the competence-based strategic management (CBSM) of firms and for technology and economic development policies of governments.

Specifically, we suggest how the use of open-system modular product architectures as the basis for new products is likely to result in dynamics of new market formation that call for new approaches to the strategic management of innovation and product creation. We also suggest technology and economic development policies favoring use of open-system modular architectures may stimulate new market formation and related economic development by providing platforms for accelerating technology development and dissemination, facilitating the formation of an industrial base of assemblers and component suppliers, assisting new firms in building customer relationships, enabling more geographically diffused economic development within countries, and facilitating development of export markets. We also suggest directions for further research into the potential for open-system modular product architectures to enable bottom-of-the-pyramid innovation processes, frugal engineering in developing economies, and development of low-cost product variations more generally.

Technology is an important factor contributing to the economic development of countries. In the context of the 4th industrial revolution, a country's success lies in its ability to grasp and absorb the level of technology into production and economic development. This aims of this research are to evaluate the impact of the tourism and technological contribution on economic growth in East Asian countries in the period of 2010–2019.

This research uses the feasible generalised least squares (FGLS) to revise the diagnostic problems and other advanced techniques to check the robustness; the research results confirm that there is no impact between tourism and economic growth.

The main driving force behind economic comes from: technological contribution, financial development and foreign direct investment inflows.

The research confirms that there is a significant and negative relationship between exchange rate and economic growth.