Introduction: The development of aquaculture in Central Sulawesi requires a development framework that is not only oriented toward increasing output but also integrates economic, ecological, and social dimensions. From a Blue Economy perspective, investment is understood not simply as an increase in capital but as a transformational instrument that encourages efficiency, low-waste innovation, ecosystem protection, and social benefits for coastal communities.

Objectives: This research combines aquaculture and blue economy activities through a spatial integration approach to develop a policy to improve the regional economy in Central Sulawesi Province. This research focuses on analyzing the ability of spatial integration to identify and map aquaculture potential, enabling the application of the blue economy concept to provide a multiplier effect on regional economic development.

Methods: The basic method in this research is a descriptive explanation using a mixed-methods approach combining qualitative and quantitative research. This research method is based on the fact that, to reveal the processes driving the integration of aquaculture conditions, spatial variables must be quantified using exogenous and endogenous variables and, in the formulation of strategies, explained in depth using a qualitative approach.

Results: The R-square result for the Aquaculture Production variable is 0.796, and the R-square value for the Blue Economy-Based Aquaculture Investment variable is 0.561. The R-square value of 0.796 indicates that the variables of spatial integration, environmental carrying capacity, governance, and blue economy-based fisheries investment explain 79.6% of the variation in the aquaculture production variable, while other variables outside this research model explain the remaining 20.4%. Meanwhile, the R-square value of 0.561 indicates that spatial integration, environmental carrying capacity, and governance can explain 56.1% of the variations in blue economy-based investment.

Conclusions: Based on the results of descriptive analysis, synthesis of stakeholder interviews, and testing of the structural model using SEM-PLS, the following key findings were obtained. Spatial integration has a positive and significant effect on aquaculture production. Regional accessibility, integrated logistics infrastructure, and synchronized spatial planning have been shown to increase supply chain efficiency and support productivity gains in the coastal areas of Central Sulawesi. Environmental carrying capacity has a positive and significant effect on aquaculture production. Water quality, ecological capacity, and the control of pressures arising from aquaculture activities are important determinants in maintaining ecosystem stability, thereby enabling increased production.