Green Productivity Measurement Based on Environmental Performance Indicators in Optimizing the Performance of Fish Processing MSMEs

Abstract

This study aims to measure Green Productivity (GP) by integrating Environmental Performance Indicators (EPI) to optimize the performance of a fish-processing MSME in Pasuruan Regency, Indonesia. Primary data were collected through observations, interviews, and questionnaires, while secondary data included utility usage logs and internal reports. The analysis employed the Input–Process–Output–Outcome (IPOO) framework and the PDCA continuous improvement cycle. Findings reveal a monthly revenue of IDR 150 million with a productivity score of 2.21, indicating high economic efficiency. However, the enterprise generates 4,015 kg CO₂e/month from electricity, LPG, water, and organic waste. The EPI was IDR 37,368/kg CO₂e, and the GP index was 0.00055—signaling low Eco-efficiency. The novelty of this study lies in combining GP and EPI within MSMEs using actual emissions-based indicators to identify inefficiencies and propose green strategies. Implications include a structured assessment model for MSMEs, informing green policy support, and contributing to sustainable operations. Recommended improvements include energy-efficient technologies, waste composting, water reuse, and staff training. This study highlights the critical role of environmental indicators in enhancing the green competitiveness of MSMEs in traditional sectors.