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Eco-fishing ports play a pivotal role in achieving Sustainable Development Goals (SDGs), encouraging more environmentally responsible and economically sustainable practices for a viable future through the preservation and sustainable utilization of marine and fisheries resources.East Java, a province in Indonesia, boasting an extensive coastline and abundant marine resources, requires a fishing port with environmentally friendly management.This research aims to analyze the measurement models that affect the development of eco-fishing ports in East Java Province.Data analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to ascertain the relationship between latent and manifest variables.Purposive sampling was used to choose 215 participants from administrative offices, fishing companies, and fishing communities of six fishing ports in the province of East Java.This model comprehensively evaluates eco-fishing ports by considering 36 indicators of the seven following latent variables: Market Demand (md), Community Welfare (cw), Infrastructure (if), Environmental Carrying Capacity (env), Community Empowerment (ce), Regulation (rg), and Eco-Fishing Port (ef).The analysis test found that the AVE and the Construct Reliability values of 21 indicators all exceed the threshold of 0.5 and 0.7, respectively.It indicates that each latent variable has a valid and reliable measurement model.The result revealed that the eco-fishing port development model's latent variable strongly correlated with 21 indicators.These findings can guide future efforts to enhance the sustainability and resilience of fisheries management in East Java.
Dirman et al. (Wed,) studied this question.