Received:
2019-09-15 | Accepted:
2019-12-08 | Published:
2020-03-30
Title
Assessment of competitiveness of regions of the Republic of Kazakhstan
Abstract
In modern science, there are a large number of techniques focused on the assessment of competitiveness through the analysis of certain resources in the region. However, accounting of human resources in such assessments is not used as a prior factor in identifying regional competitive advantages. Competitive advantages affect not only the efficiency of individual sectors of the economy but also the overall social and economic development of the country. Assessment of the competitiveness of the region should include one of the main parameters of the human resource development level. Therefore, the forecast for the competitiveness of the region should take into account the pace of human resources development. The methods used in Kazakhstan for assessing the competitiveness of a region considers only the assessment of human resources in its structure but do not take into account the level of their development over time, as well as the multi-factorial nature of their components.The work explains and analyzes rating model for assessing of the competitiveness of the regions of Kazakhstan (the National Chamber of Entrepreneurs of the Republic of Kazakhstan). The authors proposed a methodology for ranking the regions of Kazakhstan based on an assessment of the development of their human resources that affect the competitiveness of the region. It includes an analysis of demographic, labor and social and economic indicators reflecting the state of human resources.
Keywords
assessment of competitiveness of regions, human resources, methods of ranking regions, competitiveness of regions of Kazakhstan
JEL classifications
R11
, O18
, P48
URI
http://jssidoi.org/ird/article/32
DOI
HAL
Pages
469-479
Funding
This research was patlysupported by the project,which has received funding from the European Union's Horizon 2020 research and innovation programme European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme Marie Sklodowska-Curie Research and Innovation Staff Exchanges ES H2020-MSCA-RISE-2014 CLUSDEVMED (2015-2019) Grant Agreement Number 645730730
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
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