Sustainability analysis of coastal and marine management in East Nusa Tenggara Province, Indonesia

¹ Doctoral Program in Tropical Ocean Economics Graduate School, 16680 IPB University, Indonesia
² Department of Resource and Environmental Economics, Faculty of Economic and Management, 16680 IPB University, Indonesia
³ Department of Aquatic Resources Management, Faculty of Fisheries and Marine Sciences, 16680 IPB University, Indonesia
⁴ Center for Coastal and Marine Resources Studies, 16153 IPB University, Indonesia
⁵ Faculty of Fisheries, Muhammadiyah University, 85228 Kupang, East Nusa Tenggara, Indonesia

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it. ; This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

The analysis of the sustainability status of coastal and marine management in East Nusa Tenggara Province was conducted using the Rap-Coastal method, a development of the Rapfish technique commonly applied in assessing the sustainability of capture fisheries. This approach involves four main dimensions: ecological, economic, social, and governance policy. Data for these four dimensions were obtained through interviews and field observations in the study area, then analyzed using the Rap-Coastal software to determine the sustainability index for each dimension. The analysis results show that the overall sustainability status of coastal and marine management in East Nusa Tenggara Province is 66.92, indicating that management practices across the four dimensions fall into the moderately sustainable category. Based on the Leverage analysis of the ecological dimension, the most sensitive attributes affecting coastal and marine sustainability in NTT are fish stock levels (RMS 7.52). For the economic dimension the most sensitive is unemployment rate (RMS 33.62). In the social dimension, the three most sensitive attributes is community dependence on coastal and marine resources (RMS 7.58). Meanwhile, the Leverage analysis for the governance policy dimension shows that the attribute of institutional presence and involvement (RMS 7.88) is the most sensitive.