3 research outputs found
ΠΡΠ΅Π½ΠΊΠ° Π½Π΅ΡΠ°Π²Π΅Π½ΡΡΠ²Π° ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π΄ΠΎΡ ΠΎΠ΄ΠΎΠ² ΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ ΠΠ°Π·Π°Ρ ΡΡΠ°Π½Π°
ΠΠ°ΠΆΠ½ΠΎΠΉ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΏΡΠΎΠ±Π»Π΅ΠΌΠΎΠΉ ΡΠ²Π»ΡΠ΅ΡΡΡ Π²ΠΎΠΏΡΠΎΡ Π½Π΅ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ². Π ΡΠ²ΡΠ·ΠΈ Ρ ΡΡΠΈΠΌ Π°ΠΊΡΡΠ°Π»ΡΠ½ΡΠΌ ΡΡΠ°Π½ΠΎΠ²ΠΈΡΡΡ ΠΈΠ·ΡΡΠ΅Π½ΠΈΠ΅ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ Π² ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π² ΡΠ°Π·Π²ΠΈΠ²Π°ΡΡΠΈΡ
ΡΡ ΡΡΡΠ°Π½Π°Ρ
, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½. Π¦Π΅Π»Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ², ΡΠΎΡΠΈΠ°Π»ΡΠ½ΡΡ
ΡΠ°ΡΡ
ΠΎΠ΄ΠΎΠ² ΠΈ Π½Π΅ΡΠ°Π²Π΅Π½ΡΡΠ²Π° Π½Π° ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ ΠΈ Π·Π°ΡΡΠ°ΡΡ Π½Π° ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½Π°. Π ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΏΡΠ΅Π΄ΡΠ΄ΡΡΠΈΡ
Π½Π°ΡΡΠ½ΡΡ
ΡΠ°Π±ΠΎΡ Π² ΡΡΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΠΈ, Π² Π΄Π°Π½Π½ΠΎΠΉ ΡΡΠ°ΡΡΠ΅ Π°Π½Π°Π»ΠΈΠ·ΠΈΡΡΡΡΡΡ ΠΏΠ°Π½Π΅Π»ΡΠ½ΡΠ΅ Π΄Π°Π½Π½ΡΠ΅ ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΠΈ ΡΠ΅Π»ΠΎΠ²Π΅ΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΠΊΠ°ΠΏΠΈΡΠ°Π»Π° ΠΈ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π² 17 ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½Π°. ΠΠ»Ρ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°ΡΠΈΠΈ, ΠΎΡΡΠ°ΠΆΠ°ΡΡΠΈΠΉ ΡΡΠ΅ΠΏΠ΅Π½Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠ³ΠΎ ΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π½Π΅ΡΠ°Π²Π΅Π½ΡΡΠ²Π°. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΏΡΠ΅Π΄Π»ΠΎΠΆΠ΅Π½Π½ΠΎΠΉ ΠΌΠ΅ΡΠΎΠ΄ΠΈΠΊΠΈ ΠΏΡΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡΠΎΠ²Π°Π½Ρ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΡΡΠΎΠ²Π½Π΅ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ. Π‘ΠΎΠ³Π»Π°ΡΠ½ΠΎ ΠΏΠΎΠ»ΡΡΠ΅Π½Π½ΡΠΌ Π΄Π°Π½Π½ΡΠΌ, Π½Π΅ΡΠ°Π²Π΅Π½ΡΡΠ²ΠΎ ΠΌΠ΅Π½ΡΠ΅ΡΡΡ Ρ ΡΠ΅ΡΠ΅Π½ΠΈΠ΅ΠΌ Π²ΡΠ΅ΠΌΠ΅Π½ΠΈ ΠΈ Π²Π»ΠΈΡΠ΅Ρ ΠΊΠ°ΠΊ Π½Π° ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅, ΡΠ°ΠΊ ΠΈ Π½Π° Π·Π°ΡΡΠ°ΡΡ Π½Π° ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΠ΅ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΡΠ΅ΡΠ°Ρ
. ΠΠ΅ΡΠ°Π²Π΅Π½ΡΡΠ²ΠΎ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ² Π½Π΅ΡΠΊΠΎΠ»ΡΠΊΠΎ Π²ΡΡΠ΅ Π² ΠΠ°ΡΠ°Π³Π°Π½Π΄ΠΈΠ½ΡΠΊΠΎΠΉ ΠΈ ΠΠΎΡΡΠΎΡΠ½ΠΎ-ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΡΡ
; Π² Π΄ΡΡΠ³ΠΈΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Π΄ΠΎΡ
ΠΎΠ΄Ρ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½Ρ Π±ΠΎΠ»Π΅Π΅ ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎ, ΠΏΡΠΈΠΌΠ΅ΡΠ½ΠΎ Π½Π° 0,05 ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΠΠΆΠΈΠ½ΠΈ. Π‘ΠΏΠ΅ΡΠΈΡΠΈΠΊΠ°ΡΠΈΡ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΈ ΠΏΠΎΠΊΠ°Π·ΡΠ²Π°Π΅Ρ, ΡΡΠΎ Π² ΠΊΡΡΠΏΠ½ΡΡ
ΠΌΠ΅Π³Π°ΠΏΠΎΠ»ΠΈΡΠ°Ρ
, ΡΠ°ΠΊΠΈΡ
ΠΊΠ°ΠΊ Π¨ΡΠΌΠΊΠ΅Π½Ρ, ΠΠ»ΠΌΠ°ΡΡ ΠΈ ΠΡΡΠ°Π½Π°, ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΡΠ΅ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡ Π±ΠΎΠ»ΡΡΠ΅Π΅ Π²Π»ΠΈΡΠ½ΠΈΠ΅, ΡΠΎΠ³Π΄Π° ΠΊΠ°ΠΊ Π² ΠΠ°Π½Π³ΠΈΡΡΠ°ΡΡΠΊΠΎΠΉ ΠΈ Π‘Π΅Π²Π΅ΡΠΎ-ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½ΡΠΊΠΎΠΉ ΠΎΠ±Π»Π°ΡΡΡΡ
ΠΈΡ
Π²ΠΎΠ·Π΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΠΌΠ΅Π½ΡΡΠ΅. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΏΠΎΠ΄ΡΠ΅ΡΠΊΠΈΠ²Π°ΡΡ Π²Π°ΠΆΠ½ΠΎΡΡΡ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π΄Π»Ρ ΡΠΎΠΊΡΠ°ΡΠ΅Π½ΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠ°Π·Π»ΠΈΡΠΈΠΉ ΠΈ Π΄ΠΎΡΡΠΈΠΆΠ΅Π½ΠΈΡ ΡΠ°Π²Π½ΠΎΠΌΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ°ΡΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΈΡ Π΄ΠΎΡ
ΠΎΠ΄ΠΎΠ².In the current social conditions, the problems of inequality associated with the uneven distribution of income in society is an important research problem. Thus, it is necessary to investigate the level of regional differences in income distribution in developing countries like Kazakhstan. The study aims to assess the influence of income, social expenditures, and inequality in the distribution of education and education costs between different regions of Kazakhstan. Unlike previous scientific papers in this area, this paper uses panel data on the distribution of human capital and income in 17 regions of Kazakhstan. The methodological framework of the research is represented by methods of statistical assessment of economic inequality, such as the indicator of differentiation, reflecting the degree of social and economic inequality. Based on the proposed methodology, we analysed the disparity in the level of education and obtained data on the standard deviations of the distribution of education for the population of the regions of Kazakhstan. According to these data, inequality changes over time and affects the distribution of education and education costs between different areas. Income inequality is slightly higher in Karaganda and East-Kazakhstan regions; other areas have a more equitable income distribution by about 0.05 Gini coefficients. The regression specification shows that large megacities like Shymkent, Almaty, and Astana have a more significant influence, while Mangystau and North-Kazakhstan regions have minor power. The obtained results emphasise the importance ensuring access to education for reducing regional disparities and achieving stability in income distribution.Π‘ΡΠ°ΡΡΡ ΠΏΠΎΠ΄Π³ΠΎΡΠΎΠ²Π»Π΅Π½Π° ΠΏΡΠΈ ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΠ΅ ΠΠΎΠΌΠΈΡΠ΅ΡΠ° Π½Π°ΡΠΊΠΈ ΠΠΈΠ½ΠΈΡΡΠ΅ΡΡΡΠ²Π° Π½Π°ΡΠΊΠΈ ΠΈ Π²ΡΡΡΠ΅Π³ΠΎ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°Π½ΠΈΡ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½, ΠΏΡΠΎΠ΅ΠΊΡ AP09259332 Β«Π’ΡΠ°Π½ΡΡΠΎΡΠΌΠ°ΡΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΠ·Π½Π°Π½ΠΈΡ ΠΎΠ±ΡΠ΅ΡΡΠ²Π° Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΏΠ°ΡΠΎΠ»ΠΎΠ³ΠΈΠΈ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΠΊΠΈ (Π½Π° ΠΏΡΠΈΠΌΠ΅ΡΠ΅ Π Π΅ΡΠΏΡΠ±Π»ΠΈΠΊΠΈ ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½)Β».The article has been prepared with the support of the Science Committee of the Ministry of Science and Higher Education of the Republic of Kazakhstan, the project AP09259332 βTransformation of the economic conscious of society in the conditions of the pathology of the economy (on the example of the Republic of Kazakhstan)β
Assessing Inequality of Income Distribution and Education in the Regions of Kazakhstan
In the current social conditions, the problems of inequality associated with the uneven distribution of income in society is an important research problem. Thus, it is necessary to investigate the level of regional differences in income distribution in developing countries like Kazakhstan. The study aims to assess the influence of income, social expenditures, and inequality in the distribution of education and education costs between different regions of Kazakhstan. Unlike previous scientific papers in this area, this paper uses panel data on the distribution of human capital and income in 17 regions of Kazakhstan. The methodological framework of the research is represented by methods of statistical assessment of economic inequality, such as the indicator of differentiation, reflecting the degree of social and economic inequality. Based on the proposed methodology, we analysed the disparity in the level of education and obtained data on the standard deviations of the distribution of education for the population of the regions of Kazakhstan. According to these data, inequality changes over time and affects the distribution of education and education costs between different areas. Income inequality is slightly higher in Karaganda and East-Kazakhstan regions; other areas have a more equitable income distribution by about 0.05 Gini coefficients. The regression specification shows that large megacities like Shymkent, Almaty, and Astana have a more significant influence, while Mangystau and North-Kazakhstan regions have minor power. The obtained results emphasise the importance ensuring access to education for reducing regional disparities and achieving stability in income distribution
ΠΠ½Π°Π»ΠΈΠ· Π²Π»ΠΈΡΠ½ΠΈΡ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ ΡΠ΅Ρ Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ ΠΠ°Π·Π°Ρ ΡΡΠ°Π½Π°
Π¦Π΅Π»Ρ Π΄Π°Π½Π½ΠΎΠ³ΠΎ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ - ΠΎΡΠ΅Π½ΠΈΡΡ Π²Π»ΠΈΡΠ½ΠΈΠ΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΎΠ½Π½ΠΎ-ΠΊΠΎΠΌΠΌΡΠ½ΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΉ (ΠΠΠ’) Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ Π² ΡΠ°Π·Π»ΠΈΡΠ½ΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½Π°. ΠΠ»Ρ Π°Π½Π°Π»ΠΈΠ·Π° Π²Π·Π°ΠΈΠΌΠΎΡΠ²ΡΠ·ΠΈ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»Π΅ΠΉ Π±ΡΠ»ΠΈ ΠΏΡΠΈΠΌΠ΅Π½Π΅Π½Ρ ΡΠ°ΠΊΠΈΠ΅ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠ΅ ΠΌΠ΅ΡΠΎΠ΄Ρ, ΠΊΠ°ΠΊ ΡΠΈΡΡΠ΅ΠΌΠ°ΡΠΈΠ·Π°ΡΠΈΡ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΈΡ
Π΄Π°Π½Π½ΡΡ
ΠΈ ΡΠ΅Π³ΡΠ΅ΡΡΠΈΠΎΠ½Π½ΡΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π½ΡΠΉ ΠΏΡΠΈ ΠΏΠΎΠΌΠΎΡΠΈ ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠ½ΠΎΠ³ΠΎ ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠ΅Π½ΠΈΡ STATA. Π ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΡΡΠΎΡΠ½ΠΈΠΊΠ° ΠΏΠΎΡΠ»ΡΠΆΠΈΠ»ΠΈ Π΄Π°Π½Π½ΡΠ΅ ΠΡΠ΅ΠΌΠΈΡΠ½ΠΎΠ³ΠΎ Π±Π°Π½ΠΊΠ°, ΠΠ΅ΠΆΠ΄ΡΠ½Π°ΡΠΎΠ΄Π½ΠΎΠ³ΠΎ ΡΠΎΡΠ·Π° ΡΠ»Π΅ΠΊΡΡΠΎΡΠ²ΡΠ·ΠΈ ΠΈ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ Π΅ΠΆΠ΅Π³ΠΎΠ΄Π½ΠΈΠΊΠ° ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½Π°. ΠΠ° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π·Π° 2007-2018 Π³Π³. Π±ΡΠ»Π° ΠΏΡΠΎΠ²Π΅Π΄Π΅Π½Π° ΠΎΡΠ΅Π½ΠΊΠ° Π²Π»ΠΈΡΠ½ΠΈΡ ΠΠΠ’ (ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ ΠΏΠΎΠΊΠ°Π·Π°ΡΠ΅Π»ΠΈ Π΄ΠΎΡΡΡΠΏΠ° ΠΊ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΡ Π² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡΡ
, ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠΎΠ² ΠΈ ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΡΡ
ΡΠ΅Π»Π΅ΡΠΎΠ½ΠΎΠ²) Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ. ΠΡΡΠ²Π»Π΅Π½Π½ΡΠ΅ ΡΠ°Π·Π»ΠΈΡΠΈΡ Π² ΡΠΊΠΎΡΠΎΡΡΠΈ Π²Π½Π΅Π΄ΡΠ΅Π½ΠΈΡ ΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ ΠΠΠ’ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΡΠ²ΠΈΠ΄Π΅ΡΠ΅Π»ΡΡΡΠ²ΡΡΡ ΠΎ ΡΠΎΠΌ, ΡΡΠΎ Π½Π°ΠΈΠΌΠ΅Π½Π΅Π΅ ΡΠ°Π·Π²ΠΈΡΡΠ΅ ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠΈ ΠΏΠΎ-ΠΏΡΠ΅ΠΆΠ½Π΅ΠΌΡ ΠΎΡΡΡΠ°ΡΡ ΠΏΠΎ ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Ρ ΠΈΠ½ΡΠ΅ΡΠ½Π΅Ρ-ΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ. Π‘Π΄Π΅Π»Π°Π½Ρ ΡΠ»Π΅Π΄ΡΡΡΠΈΠ΅ Π²ΡΠ²ΠΎΠ΄Ρ: ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΠ΅ ΡΡΠΎΠΈΠΌΠΎΡΡΠΈ Π½Π΅ΡΡΠΈ ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΡΡΡΠΈΠΉ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΏΠ°Π΄ Π² 2014 Π³. ΠΏΡΠΈΠ²Π΅Π»ΠΈ ΠΊ ΠΎΡΠ»Π°Π±Π»Π΅Π½ΠΈΡ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π²Π°Π»ΡΡΡ; ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΠ΅ ΠΌΠΎΠ±ΠΈΠ»ΡΠ½ΡΡ
ΡΡΡΡΠΎΠΉΡΡΠ² ΠΏΡΠΈΠ²Π΅Π»ΠΎ ΠΊ ΡΠ½ΠΈΠΆΠ΅Π½ΠΈΡ ΡΠΏΡΠΎΡΠ° Π½Π° ΡΡΠ°ΡΠΈΠΎΠ½Π°ΡΠ½ΡΠ΅ ΡΠ΅Π»Π΅ΡΠΎΠ½Ρ; Π½Π°ΡΠΈΠ½Π°Ρ Ρ 2014 Π³. ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²ΠΎ ΠΊΠΎΠΌΠΏΡΡΡΠ΅ΡΠΎΠ² Π² ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΡΡ
Π²Π»ΠΈΡΠ΅Ρ Π½Π° ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΈΠΉ ΡΠΎΡΡ Π² Π±ΠΎΠ»Π΅Π΅ ΡΠ°Π·Π²ΠΈΡΡΡ
ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
, Π² ΡΠΎ Π²ΡΠ΅ΠΌΡ ΠΊΠ°ΠΊ ΠΎΡΡΠΈΡΠ°ΡΠ΅Π»ΡΠ½ΡΠΉ ΡΡΡΠ΅ΠΊΡ Π΄ΠΎΡΡΡΠΏΠ° ΠΊ ΠΈΠ½ΡΠ΅ΡΠ½Π΅ΡΡ ΡΠ°ΡΡΠ΅Ρ. ΠΠΎΠ»ΡΡΠ΅Π½Π½ΡΠ΅ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π½Ρ Π΄Π»Ρ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ ΡΠ°Π·Π²ΠΈΡΠΈΡ, Π΄Π»Ρ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ³ΠΎ ΡΠΎΡΡΠ° Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
Ρ Π½ΠΈΠ·ΠΊΠΈΠΌΠΈ, ΡΡΠ΅Π΄Π½ΠΈΠΌΠΈ ΠΈ Π²ΡΡΠΎΠΊΠΈΠΌΠΈ ΡΠ΅ΠΌΠΏΠ°ΠΌΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡ.The research aims to assess the impact of information and communication technology (ICT) on economic growth in different regions of Kazakhstan. A few basic complex methods, such as systematisation of statistical data and regression analysis, conducted using the STATA software package, were used to analyse the relationship of indicators in different periods. Based on data for the period 2007-2018 obtained from the World Bank, the International Telecommunication Union and statistical yearbook of Kazakhstan, we assess how ICT, expressed by such indicators as Internet access in organisations, the number of computers and fixed telephones, influences economic growth. Our analysis revealed differences in the speed of implementation and development of ICT depending on the region, meaning that the least developed territories still lag in the number of Internet users. We have concluded that since 2014, the countryβs currency has weakened due to the decrease in the cost of oil and consequent economic decline; mobile devices are increasingly used, reducing the demand for fixed telephones; computers in organisations are affecting economic growth in more developed regions since 2014, although the negative effect of Internet access is growing, as the model shows. The obtained results can used for strategy development to compare economic growth in regions with low, medium, and high development rates.ΠΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠ΅ Π²ΡΠΏΠΎΠ»Π½Π΅Π½ΠΎ Π² ΡΠ°ΠΌΠΊΠ°Ρ
ΠΏΡΠΎΠ΅ΠΊΡΠ° Π³ΡΠ°Π½ΡΠΎΠ²ΠΎΠ³ΠΎ ΡΠΈΠ½Π°Π½ΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΠ Π β AP08052745 Β«ΠΠ»ΠΈΡΠ½ΠΈΠ΅ Π½Π°ΡΠΊΠΈ Π½Π° ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠΊΠΎΠ½ΠΎΠΌΠΈΡΠ΅ΡΠΊΠΎΠ΅ ΡΠ°Π·Π²ΠΈΡΠΈΠ΅ ΠΠ°Π·Π°Ρ
ΡΡΠ°Π½Π°: ΠΌΠ΅ΡΠΎΠ΄ΠΎΠ»ΠΎΠ³ΠΈΡ, ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΎΡΠ΅Π½ΠΊΠΈ ΠΈ ΡΡΠ΅Π½Π°ΡΠΈΠΈ ΡΠ°Π·Π²ΠΈΡΠΈΡΒ».The article has been prepared with the support of the grant-funding project IRN No. AP08052745 βThe science impact on Kazakhstanβs socio-economic development: methodology, assessment models and development scenariosβ