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Detecting spatial economic clusters using kernel density and global and local Moran's I analysis in Ekurhuleni metropolitan municipality, South Africa

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  • Koech Cheruiyot

Abstract

Agglomeration economies are credited for providing the needed catalyst for economic growth and development. This paper uses approximately 14,000 firm‐level data and employs several spatial data analysis approaches to examine evidence of types of spatial sectoral clusters and their footprints in Ekurhuleni Metropolitan Municipality, a major subregional economy in Gauteng metropolis, South Africa. The results of four selected industrial sectors show evidence of varying global and localized clustering. Localized clustering is statistically significant. This research suggests policies that ensure that regional economy's economic growth and development benefit from agglomeration economies. A las economías de aglomeración se les atribuye la función catalizadora necesaria para el crecimiento económico y el desarrollo. Este artículo utiliza aproximadamente 14.000 datos a nivel de empresa y emplea varios enfoques de análisis de datos espaciales para examinar las pruebas del tipo de agrupaciones sectoriales espaciales y su huella en el municipio metropolitano de Ekurhuleni, una importante economía subregional de la metrópolis de Gauteng y de Sudáfrica. Los resultados de cuatro sectores industriales seleccionados muestran evidencias de una agrupación global y localizada variable. Se estableció que la agrupación localizada también era estadísticamente significativa. Esta investigación sugiere políticas que garanticen que el crecimiento económico y el desarrollo de la economía regional se beneficien de las economías de aglomeración. 集積経済は、経済成長と発展に必要な触媒的役割を与えていると考えられている。本稿では、約14,000社レベルの企業データを使用し、いくつかの空間データ解析手法を用いて、ハウテン州の都市圏および南アフリカの主要な地方経済域であるエクルレニ都市圏における部門別の空間クラスターのタイプのエビデンス及びその足跡を検討する。選択した4つの産業部門の結果から、様々なグローバルおよび局地的なクラスター形成のエビデンスが示される。また、局地的なクラスター形成は統計的に有意であることも確認される。本研究から、経済成長と地域経済の発展が、集積経済から確実に利益を得られる政策が示唆される。

Suggested Citation

  • Koech Cheruiyot, 2022. "Detecting spatial economic clusters using kernel density and global and local Moran's I analysis in Ekurhuleni metropolitan municipality, South Africa," Regional Science Policy & Practice, Wiley Blackwell, vol. 14(2), pages 307-327, April.
    • Handle: RePEc:bla:rgscpp:v:14:y:2022:i:2:p:307-327
    DOI: 10.1111/rsp3.12526
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    3. Huasheng Zhu & Ruobin Liu & Bo Chen, 2023. "The Rise of Specialized and Innovative Little Giant Enterprises under China’s ‘Dual Circulation’ Development Pattern: An Analysis of Spatial Patterns and Determinants," Land, MDPI, vol. 12(1), pages 1-26, January.

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