The aim of this study was to determine the relationship between the attitudes and behaviors of the administrative staff of four Baku universities toward the consumption of environmentally friendly products. The study used 536 consumer questionnaires belonging to different socio-economic and demographic consumer groups. The survey evaluated the factors that affected purchasing decisions, purchase intentions, awareness, attitudes and behaviors toward green products of respondents living in an urban area. The results from the survey were analyzed using one-way MANOVA analysis. According to the results of the study, the green consumer behaviors of the survey participants differed according to age, the number of household members, marital status, education level and income. At the same time, the main indicators that consumers paid attention to were price, brand, appearance, advertising, expert opinion and label information. The level of importance of these indicators varied according to the education, income and number of household members of the participants. The results showed that the participants of the survey were partially sensitive to the environment.

Education plays an important role in the fight against poverty and contributes to the formation of human capital by increasing the knowledge and skills of the individual. It increases the educational opportunities for future generations, provides more opportunities to participate in public life, and makes a significant contribution to social development. Education is influenced by various factors. One of the main factors influencing education is the socio-economic conditions of family life. This study explores the relationship between the socio-economic status of the family and the level of education in Azerbaijan. To this end, the influence of two main independent variables, namely, the influence of family elders and family income, on the level of education of an individual was studied. As a result of the study, it was found that mothers compared to grandparents and grandparents compared to fathers have a positive impact on the level of education of children. It was also found that household income is a determining factor in choosing a risky career and that children from families with an upper middle income are especially more positive than those from low income families.

In the presented article, the construction of the Macroeconometric model for short- and medium-term forecasting of indicators of socio-economic development in the economy of Azerbaijan has been carried out. The model consists of 64 variables (41 endogenous, 23 exogenous) and 41 equations, built in four blocks (national income account, deflators, balance of payments and public finance). The database of the model is formed in four parts, covering the years 1995-2017 on an annual basis, including national income account, deflators, balance of payments and public finance. The development of the database was carried out together with the State Statistical Committee of the Republic of Azerbaijan (SSC) in full compliance with UN standards. The methodology used includes time series stationarity tests, ARIMA models, vector error correction models and other econometric methods. As a result, a compact macroeconometric model for the economy of Azerbaijan was established. Based on the model, predictions were processed in the short-term scientific research approach and compared with the actual results.

Based on survey data from 320 Azerbaijani enterprises operating across the organic product value chain—including producers, sellers, and key supporting firms such as logistics, financial, and ICT service providers—this study investigates how digital platform capability influences firms’ innovation and performance outcomes and their perceived high-quality economic development within an emerging digital economy context. Four constructs—Digital Platform Capability, Enterprise Digital Transformation, Innovation and Performance Outcomes, and Perceived High-Quality Economic Development—are measured using multi-item Likert scales. Confirmatory factor analysis and Structural Equation Modeling (SEM) are employed to test the proposed relationships. The results show that Digital Platform Capability exerts a strong positive effect on Innovation and Performance Outcomes (β = 0.574) and on Perceived High-Quality Economic Development (β = 0.512). In addition, Innovation and Performance Outcomes have a direct positive impact on Perceived High-Quality Economic Development (β = 0.313). Mediation analysis further indicates that Enterprise Digital Transformation partially mediates this relationship, transmitting approximately 52% of the total effect of Innovation and Performance Outcomes on Perceived High-Quality Economic Development. These findings underscore digital transformation as a key structural mechanism through which firm-level innovation and performance contribute to broader perceptions of high-quality economic development. The study provides novel empirical evidence from Azerbaijan and offers practical implications for digital policy design and enterprise strategies aimed at promoting innovation-driven, inclusive, and sustainable growth.

Various factors affect the income of female employees. The study examined the influence of factors such as education level, experience, occupation, and professional training on the income of female workers in Azerbaijan. To this end, 582 women employees working in the private sector in Azerbaijan were invited to participate in the survey, and the collected data were subjected to the ANOVA test. According to the results of one-way analysis of variance by occupation, there is no relationship between the occupation and earnings of working women. However, level of education, experience, and professional training have been found to impact the earnings of working women. Based on the results of the study, policies to improve women's incomes in the country can be implemented.

The role of social influence in consumer behavior examines how social groups, norms, reference groups, opinion leaders, and peers shape individual purchasing decisions. Social networks and peer interactions, both offline and online, play a significant role in determining consumer preferences and actions. Understanding these influences allows marketers to tailor strategies better to align with group dynamics and social trends, maximizing product appeal and adoption. Social influence is a key factor shaping consumer behavior, impacting decision-making through various social dynamics. Consumers are influenced by social groups (primary and secondary) that create norms, guiding acceptable behaviors and preferences. Reference groups, whether aspirational, associative, or dissociative, compare consumers’ attitudes and behaviors. Within these groups, opinion leaders exert significant influence by endorsing or rejecting products, often driving trends. Peer influence is particularly powerful, especially among younger consumers, where identity and social belonging heavily shape consumption choices. With the rise of social networks, peer influence has extended into the digital sphere, amplifying the impact of reviews, recommendations, and social trends shared online. Social influence plays a fundamental role in shaping consumer behavior by determining how individuals make purchasing decisions through interactions with social groups, opinion leaders, and digital networks. This study explores the psychological, sociological, and economic drivers of consumer behavior, particularly within the framework of green consumption. Despite the increasing relevance of sustainability in modern economies, the concept of green consumption remains underexplored in terms of its social influences.