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Developing International Collaboration Indicators in Fisheries Remote Sensing Research to Achieve SDG 14 and 17

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  • Chia-Hsiang Chen

    (Marine Fisheries Division, Fisheries Research Institute, Ministry of Agriculture, Keelung 202008, Taiwan)

  • Kuo-Wei Yen

    (Marine Fisheries Division, Fisheries Research Institute, Ministry of Agriculture, Keelung 202008, Taiwan)

Abstract

Remote sensing technology significantly contributes to fisheries management and marine ecosystem preservation. The development disparities among countries create gaps that hinder sustainable fisheries and ecosystem protection. Assessing progress and efforts across regions and countries is crucial for sustainable development. Effective measurement methods are used to identify shortcomings, guide academic development, and strengthen partnerships. Tracking and highlighting partnership achievements is challenging due to the difficulties in quantification. The objective of this study is to create indicators for evaluating the community of international academic cooperation. We analyzed and examined the trend in national efforts and international partnerships before and after the Sustainable Development Goals (SDGs) were released in 2015 using bibliometric methods and bibliographic information from the Web of Science (WoS). The results show that tracking the progress and evolution of international collaborations in fisheries remote sensing research can be facilitated by employing quantitative indicators that measure international cooperation among coauthors, institutions, and countries. Additionally, the number of partnerships in each country displays a significant relationship with the country’s level of national development. A comparison of indicators developed by actors with different orientations can be used as a strategic reference for developing partnerships among countries. Academic research in developing countries that rely heavily on fisheries plays a critical role in preserving life below water (SDG 14). The achievement of this SDG can be enhanced through global partnerships (SDG 17).

Suggested Citation

  • Chia-Hsiang Chen & Kuo-Wei Yen, 2023. "Developing International Collaboration Indicators in Fisheries Remote Sensing Research to Achieve SDG 14 and 17," Sustainability, MDPI, vol. 15(18), pages 1-22, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:18:p:14031-:d:1245053
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    1. Ljerka Vrdoljak & Ivana Racetin & Mladen Zrinjski, 2024. "Bibliometric Analysis of Remote Sensing over Marine Areas for Sustainable Development: Global Trends and Worldwide Collaboration," Sustainability, MDPI, vol. 16(14), pages 1-16, July.

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