Spatial analysis and technological influences on smart city development in Kazakhstan
Nurbatsin A. Kireyeva A. Gamidullaeva L. Abdykadyr T.
2024EnPress Publisher, LLC
Journal of Infrastructure, Policy and Development
2024#8Issue 2
This study delves into the evolving landscape of smart city development in Kazakhstan, a domain gaining increasing relevance in the context of urban modernization and digital transformation. The research is anchored in the quest to understand how specific technological factors influence the formation of smart cities within the region. To this end, the study adopts a Spatial Autoregressive Model (SAR) as its core analytical tool, leveraging data on server density, cloud service usage, and electronic invoicing practices across various Kazakhstani cities. The crux of the research revolves around assessing the impact of these selected technological variables on the smart city development process. The SAR model’s application facilitates a nuanced understanding of the spatial dynamics at play, offering insights into how these factors vary in influence across different urban areas. A key finding of this investigation is the significant positive correlation between the adoption of electronic invoicing and smart city development, a result that stands in contrast to the relatively insignificant impact of server density and cloud service usage. The conclusion drawn from these findings underscores the pivotal role of digital administrative processes, particularly electronic invoicing, in driving the smart city agenda in Kazakhstan. This insight not only contributes to the academic discourse on smart cities but also holds practical implications for policymakers and urban planners. It suggests a strategic shift towards prioritizing digital administrative innovations over mere infrastructural or technological upgrades. The study’s outcomes are poised to guide future smart city initiatives in Kazakhstan and offer a reference point for similar emerging economies embarking on their smart city journeys.
city , data connectivity , e-mobility , Internet of Things , Kazakhstan , smart cities , spatial analysis , spatial autoregressive model , technological factors
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Department of Science, University of International Business named after Kenzhegali Sagadiyev, Almaty, 050010, Kazakhstan
Department of Information and Implementation of Research Results, Institute of Economics MSHE RK, Almaty, 050010, Kazakhstan
Department of Management and Public Administration, Penza State University (PSU), Penza, 440026, Russian Federation
Department of Science
Department of Information and Implementation of Research Results
Department of Management and Public Administration
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