Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions
This study aims to study Kazakhstan’s regions and identify places with the best potential for developing smart cities based on cluster analysis. To analyze the differentiation by the level of development, 17 regions of Kazakhstan are grouped according to 2020 data from the statistical bulletin of th...
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LLC "CPC "Business Perspectives"
2022-10-01
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| Series: | Problems and Perspectives in Management |
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| Online Access: | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/17216/PPM_2022_04_Digel.pdf |
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| author | Ivan Digel Dinara Mussabalina Marat Urdabayev Nurbakhyt Nurmukhametov Aigul Akparova |
| author_facet | Ivan Digel Dinara Mussabalina Marat Urdabayev Nurbakhyt Nurmukhametov Aigul Akparova |
| author_sort | Ivan Digel |
| collection | DOAJ |
| description | This study aims to study Kazakhstan’s regions and identify places with the best potential for developing smart cities based on cluster analysis. To analyze the differentiation by the level of development, 17 regions of Kazakhstan are grouped according to 2020 data from the statistical bulletin of the National Bureau of Statistics of the Republic of Kazakhstan. The formation of groups of regions with different values of indicators was carried out based on agglomerative clustering using the single linkage, complete linkage, and Ward’s clustering methods. In agglomerative clustering, the algorithm groups regions based on observations into clusters, and indicators determine each area’s innovative development level. The instrument to build clustering is the “RStudio” software package. As a result, regions with their essential characteristics were identified, and an assessment of their prospects was obtained with the most significant potential for developing and managing “smart cities” – Atyrau region, Almaty city, and Astana city. The remaining clusters include regions where favorable conditions for the development of innovations have not yet been formed, which require more resources and efforts to build “smart cities.” Therefore, they should not be the first to implement this concept. They need a more balanced, integrated approach, ideally supported by experience in implementing the idea in more promising regions. In a sense, clustering also allowed for identifying potential (or even existing) innovation clusters in regions of Kazakhstan. The study results can be used in developing government programs to form smart cities and further study the potential of smart cities. |
| first_indexed | 2024-04-10T18:58:23Z |
| format | Article |
| id | doaj.art-d635462c2aa649b7838b052f9e716ae6 |
| institution | Directory Open Access Journal |
| issn | 1727-7051 1810-5467 |
| language | English |
| last_indexed | 2024-04-10T18:58:23Z |
| publishDate | 2022-10-01 |
| publisher | LLC "CPC "Business Perspectives" |
| record_format | Article |
| series | Problems and Perspectives in Management |
| spelling | doaj.art-d635462c2aa649b7838b052f9e716ae62023-01-31T14:09:18ZengLLC "CPC "Business Perspectives"Problems and Perspectives in Management1727-70511810-54672022-10-01204768710.21511/ppm.20(4).2022.0717216Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regionsIvan Digel0https://orcid.org/0000-0003-2584-9919Dinara Mussabalina1https://orcid.org/0000-0003-0216-0780Marat Urdabayev2https://orcid.org/0000-0001-8270-6821Nurbakhyt Nurmukhametov3https://orcid.org/0000-0002-8551-0573Aigul Akparova4https://orcid.org/0000-0003-0085-3057Master of Economics, Department of Economic Theory and Institutional Research, Institute of Economics of the Science Committee of the Ministry of Education and Science of the Republic of KazakhstanPh.D. Student, Department of Economic, L. N. Gumilyov Eurasian National UniversityPh.D. Candidate, Economics Department, Al-Farabi Kazakh National UniversityActing Professor, Department of Economic, Seifullin Kazakh Agrotechnical UniversityPh.D. in Economics, Department of Economic, Kazakh Ablai khan University of International Relations and World LanguagesThis study aims to study Kazakhstan’s regions and identify places with the best potential for developing smart cities based on cluster analysis. To analyze the differentiation by the level of development, 17 regions of Kazakhstan are grouped according to 2020 data from the statistical bulletin of the National Bureau of Statistics of the Republic of Kazakhstan. The formation of groups of regions with different values of indicators was carried out based on agglomerative clustering using the single linkage, complete linkage, and Ward’s clustering methods. In agglomerative clustering, the algorithm groups regions based on observations into clusters, and indicators determine each area’s innovative development level. The instrument to build clustering is the “RStudio” software package. As a result, regions with their essential characteristics were identified, and an assessment of their prospects was obtained with the most significant potential for developing and managing “smart cities” – Atyrau region, Almaty city, and Astana city. The remaining clusters include regions where favorable conditions for the development of innovations have not yet been formed, which require more resources and efforts to build “smart cities.” Therefore, they should not be the first to implement this concept. They need a more balanced, integrated approach, ideally supported by experience in implementing the idea in more promising regions. In a sense, clustering also allowed for identifying potential (or even existing) innovation clusters in regions of Kazakhstan. The study results can be used in developing government programs to form smart cities and further study the potential of smart cities.https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/17216/PPM_2022_04_Digel.pdfdigital economyinnovative industriesregional developmentsmart citiessmart management |
| spellingShingle | Ivan Digel Dinara Mussabalina Marat Urdabayev Nurbakhyt Nurmukhametov Aigul Akparova Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions Problems and Perspectives in Management digital economy innovative industries regional development smart cities smart management |
| title | Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions |
| title_full | Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions |
| title_fullStr | Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions |
| title_full_unstemmed | Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions |
| title_short | Evaluating development prospects of smart cities: Cluster analysis of Kazakhstan’s regions |
| title_sort | evaluating development prospects of smart cities cluster analysis of kazakhstan s regions |
| topic | digital economy innovative industries regional development smart cities smart management |
| url | https://www.businessperspectives.org/images/pdf/applications/publishing/templates/article/assets/17216/PPM_2022_04_Digel.pdf |
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