Spatial patterns and drivers of micro, small and medium-sized enterprises (MSMEs) within and across Indonesian cities: evidence from highly granular data

Alyas A. Widita, Alex M. Lechner, Dyah T. Widyastuti

Research output: Contribution to journalArticleResearchpeer-review

1 Citation (Scopus)

Abstract

The importance of micro-, small-, and medium-sized enterprises (MSMEs) for economies and livelihood is widely recognized, especially in emerging economies. However, there are scarcely any studies on their spatial determinants, particularly in Indonesia, where MSMEs account for more than 95 % of enterprises. This paper aims to assess the spatial drivers of MSMEs within and between Indonesian cities using multilevel modeling techniques that incorporate district (n=98) and nested village-level (n=4995) spatial units. The study's findings have implications for policy interventions, suggesting the need to enhance infrastructure and digital connectivity, promote employment accessibility, and consider planning mechanisms to influence MSMEs' spatial configuration.

Original languageEnglish
Article number100137
Number of pages12
JournalRegional Science Policy and Practice
Volume16
Issue number11
DOIs
Publication statusPublished - Nov 2024

Keywords

  • Big data
  • Indonesia
  • Locational factors
  • MSMEs
  • Multilevel model

Cite this