Abstract
Spatial Panel Regression is a statistical model that used to analyze the effect of several independent variables on the dependent variable based on using panel data and take the spatial effect into account. There are two approaches on predicting spatial panel data, Fixed Effect Spatial Autoregressive (SAR-FE) and Random Effect Spatial Autoregressive (SAR-RE). SAR-FE has the assumption that the intercept has vary acrros spatial unit, while the SAR-RE’s assumption is the interception is on residual model and it only has a general intercept. The purpose of this study is to modeling the production of West Sumatra fishery using Spatial Panel Regression. The model uses secondary data which is published by “Badan Pusat Statistik” on the results of aquaculture production in West Sumatra. The test results shown that the level of West Sumatra 2004-2012 aquaculture production was precisely modeled by the approach of Spatial Autoregressive Random Effect. From SAR-RE model, the most influence factors on aquaculture production in West Sumatra province in 2004-2012 was the number of motor boats, the area of fish seeds, fish seed production, and the number of fishermen public waters.
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