Assessing economic landscapes: city rankings (2010–2022)

2024

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DOI 10.46914/1562-2959-2024-1-2-328-345
Data confidence 70 medium
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Abstract

Urban assessment is crucial for understanding the dynamics of city development, identifying areas for improvement, and formulating targeted policies to enhance the quality of life for residents. This study focuses on evaluating Kazakhstan’s megacities across nine indicators grouped into financial and economic condition, business development, and living standards. Using comparative analysis and ranking methods, the study assesses budgetary allocations, population dynamics, industrial growth, and the impact of strategic investments on urban development. Drawing on current economic and demographic trends, the study examines the role of cities as drivers of economic growth and highlights the importance of addressing social and economic inequalities. Through a literature review, the study contextualizes the findings within the broader discourse on urbanization and economic development, emphasizing the need for nuanced strategies to address regional disparities. Methodologically, a rating system based on quantitative indicators from 2010 to 2022 is employed, with a heatmap visualization to illustrate city rankings across various indicators. Using aggregated data on key economic indicators, the cities were classified into three categories: high-ranking, mid-ranking and low-ranking. The study contributes to a deeper understanding of urban development in Kazakhstan and provides insights for policy formulation aimed at promoting sustainable and inclusive growth across its megacities. The city ranking analysis depicts a varied economic landscape in Kazakhstani cities. High-ranked cities exhibit robust economic performance with low poverty rates, strong average salaries, and active retail trade, hinting at promising business prospects. Mid-ranked cities show mixed performances, while low-ranked cities face considerable economic challenges, including higher poverty, lower salaries, and potential declines in trade.