Assessment of foreign direct investment, export and economic growth on the example of Kazakhstan

Azatbek, T. А.; Ramazanov, Altay

doi:10.21511/imfi.13(4).2016.11

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Researching the problems of evaluation of direct foreign investment, net exports and economic growth by the example of the Republic of Kazakhstan, Azatbek and Ramazanov (2016), based on the method of calculating the expenditure of gross domestic product (GDP) and using the method of regression analysis, determined the impact of foreign direct investment (FDI) and net exports on GDP and the interaction of FDI and net exports as components of GDP.…”

Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Simulative model for evaluation of investment processes in the regions of Ukraine

Blahun

Dmytryshyn

Leshuk

2017

Investment Management and Financial Innovations

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To analyze and evaluate the investment processes in the regions of Ukraine, it is suggested to use a simulative model that, unlike existing ones, allows to take into account the influence of macroeconomic factors and to predict the future development of the economic system of the regions taking into account their investment potential. The examination of the assessed simulative models of the investment processes in the regions of Ukraine for adequacy is carried out using the determination coefficient and Fisher's criterion, by which the influence of the most significant economic variables of social and economic development of the regions on the investments formation is determined. Research of the investments impact on the dynamics of economic systems indicators of the regions has shown that 86% of the constructed models are adequate. The presence of statistically significant estimates of model parameters confirms the effectiveness of the proposed approach for conducting research on the analysis and forecasting of the patterns of significant indicators formation of investment activity at the regional level, as well as their impact on indicators of social and economic development.

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Section: Analysis Of Recent Research and Publicationsmentioning

confidence: 99%

Simulative model for evaluation of investment processes in the regions of Ukraine

Blahun

Dmytryshyn

Leshuk

2017

Investment Management and Financial Innovations

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“…As an essential part of the Silk Road Economic Belt, it occupies an important position in the international energy market. In the first decade of the 21st century, Kazakhstan ranked among the top three countries in the world for accelerated economic growth rates, due mainly to this country's energy production and consumption (Azatbek and Ramazanov, 2016;Kalyuzhnova and Patterson, 2016;Katenova and Nurmakhanova, 2017). It has gradually positioned itself as the economic engine in Central Asia.…”

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of the impact factors of conventional energy carbon emissions in Kazakhstan based on LMDI decomposition and STIRPAT model

Chen

et al. 2018

J. Geogr. Sci.

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Quantitative analysis of the impact factors in energy-related CO 2 emissions serves as an important guide for reducing carbon emissions and building an environmentally-friendly society. This paper aims to use LMDI method and a modified STIRPAT model to research the conventional energy-related CO 2 emissions in Kazakhstan after the collapse of the Soviet Union. The results show that the trajectory of CO 2 emissions displayed U-shaped curve from 1992 to 2013. Based on the extended Kaya identity and additive LMDI method, we decomposed total CO 2 emissions into four influencing factors. Of those, the economic active effect is the most influential factor driving CO 2 emissions, which produced 110.86 Mt CO 2 emissions, with a contribution rate of 43.92%. The second driving factor is the population effect, which led to 11.87 Mt CO 2 emissions with a contribution rate of 4.7%. On the contrary, the energy intensity effect is the most inhibiting factor, which caused-110.90 Mt CO 2 emissions with a contribution rate of-43.94%, followed by the energy carbon structure effect resulting in-18.76 Mt CO 2 emissions with a contribution rate of-7.43%. In order to provide an in-depth examination of the change response between energy-related CO 2 emissions and each impact factor, we construct a modified STIRPAT model based on ridge regression estimation. The results indicate that for every 1% increase in population size, economic activity, energy intensity and energy carbon structure, there is a subsequent increase in CO 2 emissions of 3.13%, 0.41%, 0.30% and 0.63%, respectively.

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The Relationship Between Economic Growth and Foreign Direct Investment in The Turkic Republics

Kazak,

Akcan,

İyibildiren

2024

Sosyoekonomi

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This research examines the correlation between economic growth and foreign direct investment (FDI) data of the Turkic Republics, namely Kazakhstan, Uzbekistan, Azerbaijan, Türkiye, and Kyrgyzstan, over the period from 1993 to 2022 through a meticulous panel data analysis. The results of the panel, Fourier Toda Yamamoto test, reveal a reciprocal causality between economic growth and FDI, especially in Azerbaijan. In the case of Uzbekistan, the study finds that FDI plays a catalytic role in inducing economic growth. The panel Fourier cointegration test carried out for all the countries studied confirms a cointegration relationship among the variables in all the countries studied.

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Assessment of foreign direct investment, export and economic growth on the example of Kazakhstan

Cited by 4 publications

References 2 publications

Simulative model for evaluation of investment processes in the regions of Ukraine

Simulative model for evaluation of investment processes in the regions of Ukraine

Quantitative analysis of the impact factors of conventional energy carbon emissions in Kazakhstan based on LMDI decomposition and STIRPAT model

The Relationship Between Economic Growth and Foreign Direct Investment in The Turkic Republics

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