The Impact of El Nino and La Nina Towards The Prices of Cabbage and Shallot in Indonesia

This study examines the impact of El Nino and La Nina on cabbage shallot prices by applying spatial correlation analysis method with 34 provinces from 2010 to 2020 classify affected areas. The next is a panel main variables: rainfall as an indicator Nina, commodity prices, effects, other supporting variables such income, productivity, wages, COVID-19 dummy. To get output model, it necessary analyze selection best model between Structural Equation Model Spatial Autoregressive. results provide findings: (1) there are 16 in Indonesia; (2) used Autoregressive resulting has large effect increasing shallots because excess soil water content will cause crops bulbs rot easily. aspect significant influence, meaning that price one area affect two commodities areas through distribution patterns. Policy implications this classified into managerial, mitigation, adaptation strategies including policy Regional Inflation Control Team form inter-regional cooperation. Keywords: cabbage, el nino, la nina, shallot,