"آليات تصنيف المدن المصرية كمدن ابتكارية طبقا لمعايير ومؤشرات الابتكار العالمية والمحلية" "Mechanisms for Classifying Egyptian Cities as Innovative Cities According to Global and Local Innovation Standards and Indicators&am

In the context of the global transition towards a knowledge-based economy, innovation has emerged as a central pillar in shaping urban development policies. This study examines the mechanisms for classifying Egyptian cities as innovative cities by analyzing global indicators such as the Global Innovation Index (GII), the Global Talent Competitiveness Index (GTCI), the Global Competitiveness Index (GCI), and the Global Power City Index (GPCI), while linking them to the Egyptian local context. The research aims to develop a flexible classification model that considers the economic, social, and urban specificities of Egyptian cities. This model is built on a comparative analysis of innovation indicators and their experimental application to several governorates. A composite matrix of innovation inputs and outputs was constructed, and cluster analysis was employed to classify Egyptian cities according to their innovation capacities. The study produced a tripartite classification of governorates (high, medium, and low innovation) and recommended enhancing innovation in lower-performing governorates through strengthening education, fostering entrepreneurship, and developing digital infrastructure. Furthermore, the research proposes an analytical framework to support decision-makers in formulating innovation-driven urban policies and to contribute to improving the ranking of Egyptian cities in global indices.

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Publication Details

Journal
JES. Journal of Engineering Sciences/JES. Journal of engineering sciences
Published
2025-11-25
DOI
https://doi.org/10.21608/jesaun.2025.412842.1674
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
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article

"آليات تصنيف المدن المصرية كمدن ابتكارية طبقا لمعايير ومؤشرات الابتكار العالمية والمحلية" "Mechanisms for Classifying Egyptian Cities as Innovative Cities According to Global and Local Innovation Standards and Indicators&am

Abdullah Kamal
JES. Journal of Engineering Sciences/JES. Journal of engineering sciences
Smart Cities and Technologies
article

"آليات تصنيف المدن المصرية كمدن ابتكارية طبقا لمعايير ومؤشرات الابتكار العالمية والمحلية" "Mechanisms for Classifying Egyptian Cities as Innovative Cities According to Global and Local Innovation Standards and Indicators&am

Abdullah Kamal
article en

Abstract

In the context of the global transition towards a knowledge-based economy, innovation has emerged as a central pillar in shaping urban development policies. This study examines the mechanisms for classifying Egyptian cities as innovative cities by analyzing global indicators such as the Global Innovation Index (GII), the Global Talent Competitiveness Index (GTCI), the Global Competitiveness Index (GCI), and the Global Power City Index (GPCI), while linking them to the Egyptian local context. The research aims to develop a flexible classification model that considers the economic, social, and urban specificities of Egyptian cities. This model is built on a comparative analysis of innovation indicators and their experimental application to several governorates. A composite matrix of innovation inputs and outputs was constructed, and cluster analysis was employed to classify Egyptian cities according to their innovation capacities. The study produced a tripartite classification of governorates (high, medium, and low innovation) and recommended enhancing innovation in lower-performing governorates through strengthening education, fostering entrepreneurship, and developing digital infrastructure. Furthermore, the research proposes an analytical framework to support decision-makers in formulating innovation-driven urban policies and to contribute to improving the ranking of Egyptian cities in global indices.

JES. Journal of Engineering Sciences/JES. Journal of engineering sciencesVol. 0(0)
Cairo University (EG)
Openalex Percentile: Top 50%
Smart Cities and Technologies
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