Dana Kangalakova

This study aims to assess the relationship between R&D and economic growth in terms of their ability to understand R&D management. In the paper, the algorithm of actions was used, which allows ensuring interconnection, sequence of work, validity of the choice of the methods used, and defining key factors over a long period. The following methods of the empirical study were used: analysis of the provision of level development; regional analysis of the data; correlation analysis. Based on correlation analysis the impact of economic growth on R&D was investigated, which is expressed by such variables as the number of organizations engaged in R&D, internal expenditures in R&D, expenditures for technological innovations, number of employees in R&D. The data were obtained from the World Bank, the Eurasian Economic Union, and the statistical yearbook of Kazakhstan for 2009–2019. The results obtained show that all determinants correlate not only with the GDP but with each other as well. According to the findings, viewing the GDP level, there is a positive and negative correlation link between such two factors as ‘the number of research organizations’ and ‘R&D technological innovations’. These coefficients of correlation between GDP and independent factors selected for the analysis are significant, i.e. they can significantly affect the value of the GDP. The obtained results are useful in formulating the R&D development management strategy.

Acknowledgments
This study has been funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (grant IRN AP08052800 “Intellectual potential of the regions of the Republic of Kazakhstan: assessment and development prospects”).

This study aims to determine the effectiveness of Kazakhstan’s public policy during the pandemic related to healthcare, education, and the financial situation of the population by assessing the population’s quality of life (QoL). The study proceeded from the assumption that the effectiveness of state measures can be assessed through the manifestation of citizens’ reaction to the ongoing public policy, i.e., satisfaction with its results. The source base was the Bureau of National Statistics and the Adilet information and legal base covering 2020–2021. During the pandemic, the population’s satisfaction with their material provision, health, education, and living conditions decreased but not critically. The population’s QoL in Kazakhstan is satisfactory. Satisfaction among rural residents with their life (70.7%) and conditions (63.7%) is higher than among urban residents (56.1% and 49.8%, respectively). One-third of the population reported improved well-being and only 6.5% reported a deterioration. The high number of citizens satisfied with their QoL indicates the effectiveness of Kazakhstani public policy. It is the result not only of the implementation of temporary anti-crisis measures of government through program, organizational, and economic mechanisms during the pandemic but systematic work on modernization of the social, medical, and educational systems from 2019. The practical value of the study is the development of recommendations for the development of public policy in the field of improving QoL and the development of anti-crisis management in Kazakhstan.

Acknowledgments
This study is supported by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan (targeted funding program BR10965247 “Study of factors, features and dynamics of demographic processes, migration, urbanization in Kazakhstan, development of digital maps and forecasts”).