A Multidimensional Approach to Assessing the Leverage Factors of the Sustainability of Seaweed Farming in Coastal Area of Parigi Moutong District, Indonesia

Sustainability Status Important attribute Rapfish Technic Seaweed Cultivation

Authors

  • Alimudin Laapo
    alimudin_73@yahoo.com
    Department of Agricultural Socio-economics, Faculty of Agriculture, Tadulako University, Jl. Soekarno-Hatta Km. 9 Tondo Kota Palu 94117, Indonesia, Indonesia
  • Dafina Howara Department of Agricultural Socio-economics, Faculty of Agriculture, Tadulako University, Jl. Soekarno-Hatta Km. 9 Tondo Kota Palu 94117, Indonesia, Indonesia
  • Saharia Kassa Department of Agricultural Socio-economics, Faculty of Agriculture, Tadulako University, Jl. Soekarno-Hatta Km. 9 Tondo Kota Palu 94117, Indonesia, Indonesia
  • Hardianti Sultan Department of Agricultural Socio-economics, Faculty of Agriculture, Tadulako University, Jl. Soekarno-Hatta Km. 9 Tondo Kota Palu 94117, Indonesia, Indonesia
  • Abd. Rahim Department of Economics, Faculty of Economics, Universitas Negeri Makassar, Jl. A.P. Pettarani Gunungsari Makassar 90222, Indonesia, Indonesia

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The sustainability of seaweed cultivation is influenced by multidimensional factors such as the quality of the aquatic environment, cultivation technology, economic contribution to cultivators, social conditions of the community, and government institutional support. This paper aims to reveal the leveraging factors for the sustainability of seaweed cultivation in the coastal area of Parigi Moutong Regency by using a multidimensional scaling approach and the RAPFISH application. The results showed that the sustainability of seaweed cultivation in the coastal area of Parigi Moutong Regency was in the less sustainable category. Leveraging factors that play an important role in the sustainability of seaweed farming are employment at the cultivator level and the feasibility of cultivation as a good factor, while the low quality of seeds of seaweed, socio-cultural capital, and fluctuating commodities prices are categorized as bad factors.