<![CDATA[MSMEs in South Kalimantan Province have great potential as drivers of inclusive economic growth. The difference in characteristics between regions raises the question of whether the development of MSMEs forms a pattern of spatial linkage or develops relatively independently. This study aims to test spatial autocorrelation and identify local clusters of MSMEs in 13 districts/cities of South Kalimantan Province. The research uses a quantitative approach by combining secondary data for 2024 sourced from the publications of the Central Statistics Agency and primary data from 390 MSMEs. Secondary data is in the form of the number of businesses, labor, investment value, and production value per district/city in 2025 in Small and Medium Industries (SMEs). Primary data was obtained through purposive sampling based on criteria for active MSMEs, still operating, managers directly involved in decision-making, and making regular sales. Primary data includes variables of the level of digitalization and creative added value. Spatial analysis refers to the Moran Index and Local Indicators of Spatial Association (LISA) approach using a GeoDa device with a Queen Contiguity weight matrix. The results showed that most of the variables had a distribution pattern that tended to be random and had not formed spatial relationships between regions. Meanwhile, the production value ratio shows the existence of local clusters which indicates the existence of areas with relatively low productivity of MSMEs that are close to each other. Overall, clusters have not been found that can act as a growth pole for MSMEs, so development policies need to be differentiated based on the characteristics and needs of each region in South Kalimantan Province]]>
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