RUDN economists found out why eco-labels do not work in Russia, and suggested how to fix it
An important step to reduce waste and pollution is conscious consumption. The consumer must understand what he acquires and what consequences it will have for the environment. To do this, eco-labeling has been introduced all over the world — a special mark on the product that ensures that all stages of its production and use are safe from the point of view of ecology. It is assumed that eco-labeling helps to achieve sustainable economic development along with taxes and other tools. Ecomarks are in almost all countries, but often they are not supported by law, are not reliable, and sometimes even deceive the consumer. For example, in Russia, eco-labeling is fixed only in a few GOSTs. In addition, consumers mostly do not understand labeling, do not pay attention to it or do not know how to use. At the same time, almost no attention is paid to this problem.
“Consciousconsumer behaviour is important for preventing and reducing waste and environmental stress. The daily choice of goods and services by millions of buyers can stimulateor hinder the sustainable development of the world economy. Eco-labelling raises consumer awareness and leads to the emergence of new environmentally friendly goods, technologies and production systems. However,in practice, the abundance of labels and environmental declarations can reduce the understanding of the differences between products and create barriers to trust in information. In Russia, the problem of unreliable informationand about the environmental properties of goods and services is still not recognized. As far as we know, there have been no empirical studies of environmental protection in Russia. labelingand asa tool for sustainable development policy,” — Candidate of Economic Sciences Konstantin Gomonov, Associate Professor of the Department of Economic and Mathematical Modeling of RUDN University.
RUDN economists found out how consumers feel about eco-labeling in Russia, what they know about it and how they use it. To do this, the researchers interviewed 250 people. Then economists studiedhow the manufacturers themselves label their goods by studying products in several popular chain supermarkets.
Among the surveyed consumers, 42% were familiar with the eco-labeling system (in Europe, this value reaches 50-60%). However, when buying, they do not pay attention to it. Therefore, as RUDN economists concluded, manufacturers do not have the proper incentive. The researchers also found an unscrupulous attitude of manufacturers to eco-labeling,theso-called greenwashing.This means either direct forgery of eco-brands, or the use of the inscriptions “eco”, “bio”, “organic” and others, as well as pictures and symbols that mislead the user (after all, there are no studies of the environmental friendliness of the product. it was carried out and it did not receive eco-labeling). To improve the situation, the researchers proposed to develop a smartphone application that would help users recognize eco-labels and take them into account when choosing products.
“Consumers need to be more understanding of eco-labelling. However, instead of offering the distribution of educational materials, we advise developing smartphone apps that will allow buyers to check the compliance of eco-labels on the product with ISO standards directly during the shopping process. We believethat this isa cost-effective and simple way to simultaneously increase consumer awareness of eco-labeling and reduce the likelihood of greenwashing,” — Ph.D. in economics Svetlana Revinova, Associate Professor of the Department of Economic and Mathematical Modeling, RUDN University.
The results are published in the journal Sustainability.
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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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