In the modern world, due to the growing environmental threats, each state has the task of reducing the anthropogenic impact on the environment. Many countries, especially developed ones, have been seriously studying this problem and are finding solutions. However, in developing countries the situation is different, along with the growth of the economy, environmental damage is growing. The purpose of this article is to evaluate the impact of the existing measures aimed at reducing emissions and to assess the readiness of the regions in Kazakhstan for the transition to green economy. In the article, the effect of adoption of the Concept of transition to green economy on CO2 emissions in Kazakhstan was assessed. Using the synthetic control method, the panel data of
The influence of various factors on the competitiveness of national economies is investigated in many articles, however, there is little research on the impact of resource prices on it. This article aims to examine the effect of crude oil prices on the global competitiveness of both producing countries and countries consuming oil. Based on annual data from 60 countries for 2006-2017, a regression analysis of panel data with fixed effects shows that exceeding the annual growth rate of oil prices over gross domestic product growth rates reduces the growth rate of the global competitiveness index (GCI), and it is twice strong for oil exporting countries than for countries non-oil exporters. And the growth of average labor productivity, total factor productivity, the share of employed in the total population, High-technology exports, and the Gross capital formation raises the country's GCI. Due to the rise in world oil prices, exporting countries are moving downward in the global competitiveness ranking more than non-oil exporters.
The purpose of the study is to assess the quality of economic growth in Kazakhstan. An attempt has been made to provide an analysis of the institutional and economic environment and an econometric assessment of the real indicators of the country's development. Research Design & Methods:To assess the degree of influence of certain indicators on economic growth, a regression analysis was carried out. For this, data were collected from 15 countries for 2000-2018. Since the sample combines temporal and spatial data, a panel data regression model was built to analyze the effect of the considered explanatory variables on GDP. To study a model with these characteristics, two different models can be used: a fixed effects (FE) model and a random effects (RE) model. Findings: Based on the historical and logical analysis of theoretical and methodological approaches to the study of economic development and the constructed regression model of panel data, it is shown that an increase in the level of indicators selected in official statistics has a small effect on economic growth, that is, there is a discrepancy between target indicators government programs and actual results. The institutional features of the Kazakhstani development model, which cause economic lag, are revealed. Implications & Recommendations:The current cyclical transition, complicated by the Covid-19 pandemic, has revealed weak links in the economies of many countries, caused by systemic contradictions accumulated over 30 years. Kazakhstan, as a country that has been building market relations only since the end of the 20th century, found itself in the grip of not only economic and political, but also institutional costs. One of the problems hindering the economic development of the nation is the contradiction between the political ambitions of the authorities and the real results of the implementation of state programs, the loss of public confidence.Contribution & Value Added: The country's development prospects are primarily predetermined by the state's ability to solve accumulated problems. Therefore, it is important to identify them, solve, and then predict the real parameters of the country's development. The importance of such a methodological approach is noted by scientists from the post-Soviet countries, who study the factors that hinder the development of these countries.
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