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 language | English |
---|---|
Article number | 100137 |
Number of pages | 12 |
Journal | Regional Science Policy and Practice |
Volume | 16 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2024 |
Keywords
- Big data
- Indonesia
- Locational factors
- MSMEs
- Multilevel model