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The purpose of this paper is to evaluate and determine the effectiveness of university education on the economy of various countries.

To determine the necessity and expedience of making provision for the effectiveness of university education on the market economy, this work uses the method of regression and correlation analysis. Evaluation of effectiveness of the system of university education is performed separately for students, state, and employers by taking as example countries with specially developed formulas.

The authors substantiate the necessity for provision of effectiveness of university education on the market economy, view the effective system of university education as a basis for the development of a knowledge economy, determine approaches to evaluate the effectiveness of university education on the market economy, perform evaluation of effectiveness of the system of university education by the example of various countries, determine its connection with indicators of economic growth and development, and provide recommendations for provision of effectiveness of the system of university education on modern market economies.

The practical value of results of the conducted research consists in the possibility to use the developed formulas for determining the level of effectiveness of the system of university education on various countries of the world.

Theoretical value of this paper consists in the possibility for the application of authors’ conclusions and recommendations in the process of development of the policy of management of effectiveness of university education system.

Purpose: This chapter aims to study the issue of technological inequality in the modern world economy from the position of assessment of the scale of global conflict and the scenario of its development depending on conflict management.

Design/methodology/approach: The performed review of literature sources has shown that they provide an insufficient scientific basis for determining the level of technological inequality in the modern world economy from the position of assessment of the scale of the global conflict and scenarios of its development depending on conflict management. To fill this gap in the system of scientific knowledge, we use the method of comparative and correlation analysis of statistical data. The research objects are China and the United States, as well as other countries of the world that have the highest level of technological development, trade, and digitalization.

Findings: This chapter provides a review of factors that determine scientific arguments in favour of technological inequality of countries, which leads to a global conflict. Many forms of inequality have a socio-economic character and are connected to access to the main services (healthcare, education, or accommodation), as well as incomes and access to the sources of income, especially in the sphere of employment. The deficit of decent work and inequality turned the COVID-19 pandemic from the crisis of public healthcare into the crisis of employment and social conflict, which influenced the subsistence of millions of employees. There is a real risk that without comprehensive and well-coordinated political actions, the increase in inequality and reduction of general progress in the labour sphere will be preserved in many dimensions. There’s a need for the measures of international policy to provide developing countries with access to vaccines and financial support, including through restructuring of debts.

Originality/value: It is proved that after the creation of the UN, the nature of conflicts and violence underwent serious changes. Conflicts take fewer human lives but last longer, and the frequency of conflicts between groups within a country is higher than the frequency of international conflicts. In certain parts of the world, crimes on a gender basis are increasing in numbers. Besides, technologies allow using robots, drones, cyberattacks, viruses, and hackers for military purposes. At the same time, international cooperation is weak, similar to the global ability to prevent and regulate conflicts and all possible forms of violence. Technological progress changes the character of the development of conflicts. Achievements in the sphere of AI and machine learning will play an important role in this process of transformation, so the character of threats from the government and non-government subjects will change. The use of AI raises the precision of cyberattacks and physical and biological attacks, making the identification of attackers very difficult.