Aina B. Aidarova’s scientific contributions

In 2001, Jim O’Neil coined the term “BRIC” to refer to the economies of Brazil, Russia, India and China. In 2011, South Africa joined the group, and it was updated to “BRICS”. These countries have a significant impact on the world economy, and there are numerous studies examining their macroeconomic structures. This study focuses on the relationship between economic growth, oil revenues, and inflation levels in BRICS countries from 2000 to 2021 and uses panel cointegration analysis. Many studies showed a relationship between these variables in different countries and unions. This study aims to determine if these relationships hold for BRICS countries. The results suggest a cointegration relation and a causality relation between economic growth, inflation, and oil revenues in BRICS countries. This finding demonstrates the impact of energy, specifically oil revenues, on economic growth. However, other macro indicators also affect economic growth, as suggested by existing literature. Therefore, future studies could improve on this research by including additional social and economic variables to evaluate the impact of oil revenues on economic growth from multiple perspectives.

This study uses the panel ARDL method to analyze the relationship between oil exports, renewable energy consumption, agricultural industry, and economic growth in selected OPEC member countries. The study examined data from 9 OPEC countries from 1990 to 2024. The findings showed that while oil exports in OPEC countries have a positive long-term effect, they have a negative short-term impact in Nigeria and a positive short-term impact in other countries. The consumption of renewable energy has been found to have a negative long-term effect. However, the short-term impact varies from country to country, with the observation that the short-term effect is insignificant in most countries. The long-term effect of the food production index is statistically insignificant. On the other hand, the short-term effect varies significantly among countries, with a notable negative impact in some countries. Notably, Equatorial Guinea stands out from other variables, as all variables have insignificant effects in the short term. Research findings have demonstrated that oil exports play a supportive role in the economic growth of OPEC countries.

CO2 emission is an important parameter that indicates a country's development level and respect for nature. It's a well-known fact that a country's industrialization level and economic growth have a direct impact on CO2 emissions. We must prioritize the use of energy obtained from renewable sources and be mindful of our impact on the environment. This study analyses the industrial production index, economic growth, and the percentage of energy produced from renewable energy sources in energy consumption and CO2 emissions in Kazakhstan. The data are collected from the National Statistical Bureau of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan, Our World in Data, and the World Bank web pages. Research data were analyzed using the Johansen cointegration test, Vector Autoregressive (VAR) analysis, Granger causality analysis, and VECM model. In the study, we analyzed three key factors that impact CO2 emissions in Kazakhstan. Our findings revealed that these factors account for 16.1% of the variability in CO2 emissions, indicating the statistical accuracy of these variables. When deciding on renewable energy investments, it is very important to determine the causal relationship between renewable energy consumption and CO2 emissions. It seems that industrial development and economic growth can occur without any major concerns about CO2 emissions. This is based on the lack of statistical significance in the relationship between CO2 emissions and both the industrial production index and economic growth.

This study analyzes the impact of freight and passenger transport and energy production on the economic growth of Kazakhstan in the period 1996-2021 using the VAR model. The analysis also includes control variables such as energy production, economic growth, exchange rates, inflation, interest rates, foreign direct investment, and unemployment. The research uses data from the World Bank, the Central Bank of Kazakhstan, and the National Bureau of Statistics of the Agency for Strategic Planning and Reforms of the Republic of Kazakhstan. The findings showed that freight transportation's current and one-term lagged value affects economic growth. After determining the significance of the effect, we examined its causality. The findings concluded that none of the independent variables had a causal effect on economic growth, whereas the model with all three independent variables has. The study chose a long study interval and determined the data frequency as annual. The data period may be chosen as monthly or quarterly, and the effects of fluctuations during the year may be examined separately. As the timeline graph shows, the Covid-19 period created a significant statistical disruption for passenger transport. Future researchers may analyze this effect using the series from the pandemic period.

This study examines the relationship between energy consumption, foreign direct investment, and labor force participation rate in Kazakhstan for the 1991-2021 period. Data on energy consumption are retrieved from the enerdata website, and data on foreign direct investment and labor force participation rate from the World Bank website. The Vector Error Correction Model (VCEM) method was used for data analysis. Research findings have shown that foreign direct investments have an effect on energy consumption for Kazakhstan both in the long run and the short run. The study found that although the labor force participation rate has an effect on energy consumption in the short term, it has no effect in the long term. These results are also important in terms of indirectly showing the long-term effects of foreign direct investments on the economy. The study used annual series for all three variables. Another important subject of study for explaining this relationship may be the use of series in different periods (especially quarterly).

In this paper, the authors focused on the ways in which the current entrepreneurship activities should be environmentally oriented since nowadays the environmental factor has become the main access factor to foreign markets, while the domestic market became limited by environmental requirements. Also, were identified which are the main barriers to development the market for environmentally friendly products: low income of the majority of the population, lack of innovation, market saturation with consumer products, low state support for business in solving environmental issues, weak investment incentives.