Ardakh Azimkhan, Aibolat Yesentemirov, Baktygul Salimzhanova, Marat Aidashev, Dinara Aitzhanova, Zhanargul Taskinbaikyzy, Daua Mukhametzhanova and Aigul Kurmanalina
Nowadays, small and medium-sized entrepreneurship (SME) play a key role in the development of the national economy of Kazakhstan. In 2019, there were over 1.2 million small and medium-sized enterprises in Kazakhstan. The majority of SME are active in distributive trades and real estate, renting & business activity, followed by construction, manufacturing, and transport & communication. The SME have many contributions to make labor-intensive and more often self-proprietary, comparatively improved levels of efficiency and better income distribution, has a potent socio-economic imperative for the country, and disseminates broadly the benefits of economic growth. However, there is a debate that either SME can solve the problem of unemployment and in particular, so far there is little information available on the impact of entrepreneurship on employment in Kazakhstan. The objective of this manuscript is to fill this information gap by investigating the entrepreneurship impact on employment by applying regression analysis. A model of regression analysis was considered most appropriate for the data analysis of the study used. The use of regression analysis results from the fact that it will enable the study to test the influence of independent variables on the dependent variable and to ascertain the rate of change in the dependent variable as determined by an increase or decrease in the independent variables. The results of the regression analysis revealed that there is a positive relationship between SME and unemployment reduction. This manuscript may be beneficial for practitioners and academicians. Examining the entrepreneurship impact on employment tends to raise or provide some useful insights into some theoretical issues on one hand. On the other hand, it raises some practical implications for policy makers in the government.