Case Of Kazakhstan Research Articles

Impact of Oil Price, CO2 Emissons, Inflation and Economic Growth on FDI Inflow: Case of Kazakhstan

Impact of Oil Price, CO2 Emissons, Inflation and Economic Growth on FDI Inflow: Case of Kazakhstan

Comparing the Impact of Non-Cognitive Skills in STEM and Non-STEM Contexts in Kazakh Secondary Education

The role of non-cognitive skills in academic achievement has garnered increasing attention in educational research. This study explores the impact of non-cognitive skills on academic achievement in STEM and non-STEM subjects in secondary education. Survey data from 795 teachers and 12,965 students across 20 STEM schools in Kazakhstan were analyzed to examine the impact of 26 non-cognitive skills on performance in math, physics, first language, and history. Regression and mediation analyses were conducted to investigate how students’ self-assessment of non-cognitive skills directly affects academic achievement and how these effects are mediated by teachers’ assessments. The findings indicate that non-cognitive skills exhibit varying direct and total effects, with mediated effects showing greater consistency across different subjects. In math and physics, information processing skill and grit show the strongest direct and total effects on academic achievement. In first language and history, responsibility management and teamwork skill are most influential. Except for capacity for optimism and growth mindset, all skills demonstrated mediated effects across the four subjects. This research informs curriculum development and equitable policies by showing how non-cognitive skills impact academic performance across subjects. It studies the case of Kazakhstan, adding to global education discourse and offering valuable insights for enhancing STEM education.

The Impact of Stress Factors on Employee Subjective Well-Being: The Case of Kazakhstan

The Impact of Stress Factors on Employee Subjective Well-Being: The Case of Kazakhstan

Analyzing the Relationship Between Urbanization and Greenhouse Gas Emissions: The Case of Kazakhstan

Subject: The study analyses the relationship between urbanization and greenhouse gas (GHG) emissions in Ka zakhstan, looking at the impact of urban growth on GHG emissions and suggesting pathways for their sustainable de velopment. Methods: The study relies on national statistics and utilizes a hybrid method that integrates the analysis data anal ysis with qualitative insights. In this study, we used an algorithm that includes three key steps: (1) aggregating data from various sources for the period 2015–2021; (2) using data visualization tools to construct graphs; and (3) construct ing mind maps to visualize the consequences of urbanization for air quality. Findings: Our results show that urbanization in Kazakhstan is closely linked to a growth in GHG, driven by indus trial development, energy consumption, and transportation. The analysis highlights the importance of considering eco logical, economic, and social aspects of balanced development urban growth and reducing environmental impacts. Conclusions: The study also identifies opportunities to reduce emissions through strategic urban planning, green infrastructure development, and clean technology adoption. The study contributes to the current debate on sustainable urbanization by offering insights that can inform urban management policies and practices in Kazakhstan and similar contexts worldwide.

Stock Market Development and Economic Growth: The Case of Kazakhstan

The purpose of the article. The relationship between economic growth and financial development has long been widely discussed in scientific circles. Most empirical research has led to the clear conclusion that financial markets stimulate economic development. However, in the case of financial markets in developing countries, this conclusion is not so obvious. The aim of this study is to empirically verify the relationship between economic growth and the development of the stock market (Kazakhstan Stock Exchange). Methodology. Empirical verification of the strength and shape of the cause-and-effect relationship between real GDP growth and independent predictors will be carried out using classic linear regression models with many independent variables. Results of the research. The results of empirical verification of the strength and shape of the cause-and-effect relationship between the growth of real GDP and independent predictors indicate that the development of the stock market has a positive impact on the growth of the country's real GDP but is not the basic factor of Kazakhstan's economic growth.

Macroeconomic Analysis and General Economic Equilibrium of Kazakhstan

The paper studies general equilibrium in the economy of Kazakhstan. The purpose of the study is to estimate the equilibrium real interest rate for the economy within current frameworks. The IS-LMBP curves are plotted based on corresponding regression models of the real output measured by GDP. The exogenous variables are taken for the regressions according to the theoretical propositions. The quarterly data for 2008Q1-2022Q4 published in the datasets and bulletins of the Committee for Statistics and the National Bank of the Republic of Kazakhstan were used. Some consequences of the change in the exchange rate regime and in macroeconomic policy framework on macroeconomic relationships were revealed. Effectiveness of using interest rate as an instrument in maintaining inflation targeting policy is still ambiguous for the case of Kazakhstan. This study demonstrates the general equilibrium state of the national economy and specifications of the curves listed above. The results can be used to assign further the nominal interest rate using Taylor type rules

Do Global Excellence Initiatives Lead to an Increase in Research Productivity: The Case of Kazakhstan’s World-Class University

Global excellence initiatives have been widely implemented across various regions to elevate the quality and standing of higher education institutions. The establishment of world-class universities have been one of the most frequent approaches within the global excellence initiatives. A notable example of the successful establishment of a novel world-class university is Nazarbayev University in Kazakhstan, which is expected to transform Kazakhstani society by training high-qualified cadre, stimulating research and innovative activity in the country, and serving the larger society in terms of intellectual leadership and global citizenship initiatives. Despite the great promise, the university has been greatly scrutinized for the financial burden associated with its creation and maintenance. The public attention, however, has not resulted in a sufficient number of studies evaluating the various impacts of the university on Kazakhstani society and the Central Asian region at large. This study attempts to fill the gap by analyzing bibliometric data from the Web of Science to estimate the effect of the creation of Nazarbayev University on research productivity measures in Kazakhstan. More specifically, interrupted time series is applied to the data panel from 2000 to 2010 to determine whether trends in research productivity measured in terms of the number of publications, number of citations, and the size of the scholarly community (as a proxy for research capacity strengthening effect) have been affected by the establishment of the world-class university in the country. The study fills the existing gap in prior research on global academic excellence initiatives and world-class universities by suggesting quantitative insights on the research productivity effects of the initiatives.

Positive Outcomes of Cross-Border Tourism Development Cooperation: A Case of Kazakhstan, Kyrgyzstan and Uzbekistan

Positive Outcomes of Cross-Border Tourism Development Cooperation: A Case of Kazakhstan, Kyrgyzstan and Uzbekistan

Do CBDCs promote financial inclusion and strengthen the monetary regulations?

Digital currencies are impacting the financial lives of people and countries around the world; particularly developing countries see the retail Central Bank Digital Currencies (CBDCs) as an opportunity to increase financial inclusion and introduce new monetary policy implementation mechanisms. The decision to launch a digital currency mainly depends upon the goals and objectives being set by the Central Bank of any respective country. Digital currencies help to implement monetary policy more effectively to achieve the financial system stability. Kazakhstan is the leading economy in the Commonwealth of Independent States region; the digital payments market is changing rapidly in Kazakhstan, being driven by fintech innovations and public investments in payment technologies. In this article, we thoroughly discussed how launching of “Digital Tenge” is promoting financial inclusion and strengthening the monetary regulations across Kazakhstan. We took the case of Kazakhstan because it’s the first country from Central Asia which took the initiative of launching digital currency, and the National Bank of Kazakhstan has already announced that implementation of “Digital Tenge” would be completed in Kazakhstan by the end of 2025. The implementation of a “Digital Tenge” as a CBDC in Kazakhstan would expand the range of financial services being available to the nation. Having direct authority over the digital currency will empower the National Bank of Kazakhstan to adopt more efficient monetary policy, exerting influence over interest rates, money supply, and general economic stability. Furthermore, by providing digital financial services to marginalized communities, the digital Tenge would also help to solve the difficulties of financial inclusion in Kazakhstan. The article provides the possible policy routes for the governments of developing countries and the financial regulators about adopting CBDCs for promoting financial inclusion and to strengthen the monetary regulations.

Localization of the Bologna process in the post-Soviet context: the case of Kazakhstan

Localization of the Bologna process in the post-Soviet context: the case of Kazakhstan

Machine learning for real estate valuation: Astana, Kazakhstan case

Purpose of this research is to investigate the accuracy of machine learning models in forecasting and evaluating house prices, and to understand the key factors that impact pricing. The study involved analyzing data scraped from real estate ads in the “sale of secondary housing” category on the website krisha.kz. The paper emphasizes the importance of understanding the factors that affect house prices, such as quality, location, size, and building materials. It was concluded that these factors have a strong correlation with house price prediction. The information available on krisha.kz was found to be a useful resource for finding good apartments. The data collected by the scraper was analyzed by models: Linear regression (LR), interactions linear regression (ILR), robust linear regression (RLR), fine tree regression (FTR), medium tree regression (MTR), coarse tree regression (CTR), linear support vector machine (LSVM), quadratic SVM (QSVM), medium gaussian SVM (MGSVM), rational quadratic gaussian process regression (RQGPR), boosted trees (BoosT), bagged trees (BagT), neural network based on the bayesian regularization algorithm (BR-BPNN). BR-BPNN showed better results than other models, with an MSE of 32.14 and R of 0.9899.

Factors of Dynamics of ICT Services Exports: The Case of Kazakhstan

The paper examines the trends in Kazakhstan’s export of information and communication technology services, which is currently one of the priorities of the country’s economic development.Aim and Tasks. Determining the impact of government spending, foreign investment and other significant factors on exports of ICT services; assessing the extent of this impact.Methods. Evaluation of the impact on the dynamics of ICT services export on the basis of comparative and correlation analysis, comprehensive analysis of the industry development indicators in the context of its export orientation, assessment of the impact on ICT services export of the factor of migration of companies and specialists from Russia in 2022–2023 and the resulting growth in the number of ICT sector enterprises with foreign capital.Results. It has been revealed that the influence of traditional factors on the export of ICT services by Kazakhstan, including state budget expenditures, gross inflow of foreign investments, and FDI stock in industries producing these services, has been insignificant or absent over the past decade. The maximum impact on the export of ICT services was caused by an increase in the presence of companies in the industry with the participation of foreign, primarily Russian capital, which occurred in 2022–23.Conclusions. The development of foreign trade activities in sectors of the economy with low initial indicators of export orientation may be more strongly influenced by non-traditional sporadic factors, such as migration of businesses and specialists in the case of the ICT sector in Kazakhstan, whereas traditional factors of their development, including government fostering and foreign investment may not be effective enough.

Three facets of urban metabolism (case of Kazakhstan)

ABSTRACT The urbanisation growth causes problems related to the provision and consumption of resources, ecology, and social living conditions in cities. The purpose of the article is to study the dependence of metabolic factors and the level of urban conveniences on the urbanisation level and to justify the need to monitor these processes and improve the management of urban systems with the purpose to achieve sustainable development objectives. Three aspects of the problem of urban metabolism and sustainable development of cities are considered in the article. They are energy consumption by megacities, social aspects of metabolism and growth of megacities, problems of urban improvement. The increasing risks of negative impact of urban growth on the environment and living conditions has been proven. It is shown that the resettlement flow of village residents to cities, especially large ones, remains high despite the deterioration of the environmental situation in large cities and the lag in the urban infrastructure development from the population growth rate. The expediency to expand the context of the urban metabolism problem was noted, including the exchange of resources between urban and rural to reduce spatial inequality, and to increase the sustainability of urban and rural settlements.

Examining the Environmental Kuznets Curve Hypothesis in Energy, Agriculture, and Industry Sectors: The Case of Kazakhstan

Examining the Environmental Kuznets Curve Hypothesis in Energy, Agriculture, and Industry Sectors: The Case of Kazakhstan

Ethnic fractionalization and income inequality: the case of Kazakhstan

Ethnic diversity has an impact on many areas of social life, which has led to an extensive layer of research on relationships in this area. Many authors have studied in detail the impact of ethnic diversity on conflicts, instability, domestic politics, other various social and cultural aspects. At the same time, the relationship between ethnic fractionalization and economic parameters remains insufficiently studied, which leaves a wide field for relevant research, especially at the level of individual countries, since most of the work is devoted to cross-country comparative analysis of the relevant parameters. One of the most actual problems in the context of ethnic heterogeneity is its relationship with income inequality. This article presents the results of a study of the relationship between ethnic diversity, estimated on the basis of the ethno-linguistic fractionalization (ELF) index, and two indicators of income inequality — the Gini coefficient and the inter-decile income share ratio (S90/S10). The analysis of this relationship was carried out on the example of one country — Kazakhstan — by comparing the corresponding indicators for seventeen regions. The results of the analysis showed the presence of a stable and noticeable relationship, expressed in the growth of income inequality as ethnic diversity grows in the regions of the country. It was revealed that in the most ethnically homogeneous regions, income inequality indicators are minimal, while in the most ethnically diverse regions they are much higher. A significant correlation was also found between ethnic fractionalization and indicators of income inequality. The results obtained are generally correspond to the results of a number of cross-country studies, but in the case of Kazakhstan they are more distinct, which can be interpreted as confirmation of the relationship between ethnic diversity and income inequality in general.

The use of teleworking in public administration during and after the COVID-19: The case of Kazakhstan

This study investigates the teleworking experiences of public servants amidst the COVID-19 pandemic. Drawing on insights from surveys conducted during the early stages of the pandemic, we explore the advantages, challenges, and variations in telework policies across government organizations. Our findings underscore the significance of telework satisfaction in influencing employee performance and reveal gender differences in telework preferences, particularly concerning family responsibilities. The study emphasizes the need to evaluate pandemic telework experiences to inform policy adjustments in public administration and businesses. Flexibility in work arrangements can enhance talent retention, employee satisfaction, productivity, and organizational resilience, crucial aspects for businesses navigating a post-pandemic world. Effective telework implementation requires not only technological upgrades but also shifts in corporate culture to create conducive conditions.

Chinese State Capital as a Partner for Resource-Based Structural Transformation? The Belt and Road Initiative and Downstream Linkages in Bolivia and Kazakhstan

Lee argues that outbound Chinese state capital (CSC) is distinct from global private capital in terms of a greater willingness to accommodate recipient country priorities. This article uses the cases of Kazakhstan and Bolivia to explore this claim in relation to state-led efforts to foster structural transformation via upgrading in extractive industries (lithium and iron/steel in Bolivia, and petrochemicals in Kazakhstan). We focus particularly on attempts to move into domestic downstream processing. The article explores variation in the degree of accommodation with local demands on the part of CSC and proposes an explanatory framework for these differences, grounded in three axes. These are (i) mix of BRI drivers motivating a particular project from the Chinese side (export of industrial surplus, political relations with partner states and/or concern for resource security); (ii) nature of state-capital investment partnership (the mix of Chinese institutions and firms involved in negotiating and implementing the deal, as well as the time horizon implied by contract type); and (iii) a range of local contextual factors such as availability of alternative sources of capital, host state industrial capacities and local political conditions. Further research will be needed to refine and test this framework across other sectors and developmental goals beyond upgrading in extractives.

Developing psychologist attributes in higher educational institutions: case of Kazakhstan

This study’s purpose is to identify the most necessary attributes of a modern psychologist through a survey of practical psychologists, teachers, and students from the Faculty of Psychology, Toraigyrov University. The survey allowed us to develop an effective training program for psychologists. The study involved 115 respondents from Kazakhstan, 60 of them were future psychologists. The respondents took the survey to determine the key attributes of a modern psychologist. The research was also based on literature analysis and generalization, questionaries, and ranking. The Cronbach’s alpha coefficient was utilized to assess the reliability of the authors’ questionnaire items. SPSS Statistics program was applied for statistical data processing. According to the results, 80% of practical psychologists wanted to improve the curriculum for their students. At the same time, 72% of students believe that the program should primarily be practice-oriented. The students unanimously noted the key quality of the psychologist–empathy. The vast majority (94.1%) mentioned moral principles, and 85.7% indicated authenticity. However, teachers and psychologists did not emphasize the above criteria. The current study aims to develop a basis for an effective training program for future psychologists studying at the universities of Kazakhstan according to their modern needs.

Normative Power China: Why Kazakhstan is Ignoring the ‘Re-education’ Camps in Xinjiang

The issue of the Xinjiang re-education camps has not led to universal condemnation of China’s policies. In fact, some of the countries whose citizens are interned prefer not to press the issue at all. This has been the case of Kazakhstan, the largest Central Asian country neighbouring China. Using the concept of normative power China (NPC), this article examines via content analysis of speeches and interviews how and why the Kazakhstani government has followed the Chinese official position. The results suggest that China has been somewhat successful in exerting its normative influence amongst the Kazakhstani political elites.

Corporate social responsibility and firm performance: Case of Kazakhstan

The research seeks to find a relationship between Corporate Social Responsibility (CSR) and companies' performance. Studied variables were measured and analysed using a sample of companies listed on the Kazakhstan Stock Exchange (KASE). The study employed the regression model and least squares technique as the primary analytical tools. CSR is examined in conjunction with variables such as Return on Assets, Return on Equity, Market Value, and Net Profit Margin. As a result of the research, it was found that firm performance and CSR relate to each other in the studied companies. The research found a positive correlation between CSR practices and Net Profit Margin in Kazakh companies. While this study focused on a single country, its methodology can be applied to research in other emerging and developing nations. The primary contribution of this research is the examination of the relationship between firm performance and CSR practices in the post-Soviet emerging market of Kazakhstan.