RUDN economists have calculated how to improve living standards in countries with different income levels
In 2015, the UN established the Sustainable Development Goals (SDGs). This concept combines an economic, social and environmental approach and is designed to create a “better and more sustainable future for all”, that is, to improve the quality of life. The SDGs imply that entrepreneurs will implement them in their corporatestrategies, including — and innovation standards,such as corporate social responsibility.However, such innovations can have a negative effect on the consumer (for example, the cost of goods will increase). RUDN economists investigated this effect for countries with different levels of economic development and formulated recommendations.
“Innovative activities focused on the consumer market cannot be universal. Flexible consideration of the specifics of different societies isrequired, first of all, their income levels. We decided to studywhat is the specificityof managing the risks of innovative activity in entrepreneurship focused on the consumer market in countries with different income levels — Yulia Ragulina, Doctor of Economics, Head of the Department of Compliance and Controlling, RUDN University.
Economists compared two groups of countries based on gross national income, according to the World Bank. Gross national income is defined as the total value of goods and services produced in a country per year (GDP), plus the income that citizens earned abroad, minus the income exported from the country by foreigners. Countries with high GNI (more than $12,695 per capita)fell into the first group, with the average ($1,046 —$12,695) into the second. The data were examined statistically, using regression analysis. It allows you to determine the effect of several independent variables on one parameter. For each group of countries, RUDN economists identified two regression dependencies — the dependence of living standards on competitiveness and corporate responsibility and the dependence of competitiveness and corporate responsibility on the level of innovation.
It turned out that in countries with high GNI, corporate social responsibility does not determine the quality of life. In terms of achieving the SDGs in entrepreneurship in these countries, only competitiveness matters. In countries with average GNI in this area, neither competitiveness norsocial corporate responsibility aredecisive. This proved that the approach of the SDGs should be different in countries with different levels of GNI. In addition, it allows you to formulate recommendations separately for two groups of countries. For example, in countries with high GNI, it is recommended to increase the global innovation index by 42.33%, and in countries with average GNI by 247.67%. If you follow these recommendations,then the standard of living should rise by 44.95% and 98.69%, respectively.
“Our recommendations are aimed at improving the risk management of innovative activities focused on the consumer market. Their practical implementation should increase the quality of life index by 44.95–98.69%,” Yulia Ragulina, Doctor of Economics, Head of the Department of Compliance and Controlling, RUDN University.
The results are published in the journal Risks.
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Imagine a world where everyone has enough food, clean water, access to education, and decent work. A world where nature is protected and the future of our planet is cared for. These are the Sustainable Development Goals—to achieve a sustainable future for all! To this end, in 2015, the United Nations (UN) defined 17 Sustainable Development Goals (SDGs). The SDGs are a global plan that helps countries and people work together towards a better future. All 193 UN member states have joined the plan.
Researchers from the Faculty of Artificial Intelligence at RUDN University conducted a large-scale study that revealed systemic errors in large language models (LLMs) when diagnosing depression based on text. This work, carried out in collaboration with colleagues from AIRI, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Ivannikov Institute for System Programming of the Russian Academy of Sciences, Moscow Institute of Physics and Technology, and MBZUAI, not only identifies the problem but also lays the foundation for the creation of more reliable and secure tools for detecting depression and anxiety.
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