Journal of Global Governance and Sustainability

Current Issue

Vol. 1 No. 1 (2026)

Published January 1, 2026

Journal of Global Governance and Sustainability

Journal of Global Governance and Sustainability (JGGS) ISSN 3079-9813 eISSN3079-9821 is an open-access, peer-reviewed academic journal dedicated to advancing research and discussion in the fields of global sustainability and governance. The journal aims to provide a multidisciplinary platform for scholars, policymakers, and practitioners to address the pressing global challenges in social, economic, environmental, and governance domains.

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JGGS APC Discount Announcement — 20% Off Until February 28, 2026

Enjoy an 20% APC discount for all submissions received before February 28, 2026.

Articles

Ting-Yun Lo, Chao-Ming Wang, Huifang Duan, Enwu Huang, Xueyang Yan

1-31

Exploring New Paradigms in AI-Driven Multimedia Teaching of Marine Civilization across the Taiwan Strait: Comparative Perspectives from Mainland China and Taiwan

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DOI: https://doi.org/10.70693/jggs.v1i1.38

Vidya Trisandini Azzizi , Jieh-Haur Chen, Ting-Kwei Wang, Tzuyang Yu

32-43

Municipal property pricing model: A sustainable viewpoint for urban and rural areas

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DOI: https://doi.org/10.70693/jggs.v1i1.79

Diana Wahyu Hayati, Jieh-Haur Chen, Mu-Chun Su, Wei-Jen Lin, Ting-Kwei Wang

44-63

Automated and sustainable coating assessment for H-shaped steel using DNN

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DOI: https://doi.org/10.70693/jggs.v1i1.100

Mu-Chun Su, Jieh-Haur Chen, Wei-Jen Lin, Tzu-yangT Yu, Yu-Jen Chiang

64-74

Automation and Sustainability: Developing coating thickness detection algorithm for construction H-shaped steel components

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DOI: https://doi.org/10.70693/jggs.v1i1.103

Hsing-Wei Tai, He-Jin Yang, Mu-Chun Liao, Yang Liu, Jun-Chen Chen

75-88

Towards Carbon Neutrality： An LCA-based Assessment and Reduction Pathways for Prefabricated Components in a Semiconductor Facility

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DOI: https://doi.org/10.70693/jggs.v1i1.105

Shih-Yang Lin, Taibing Xue

89-108

Transit Time-Based Graph Convolutional Network Integrated with a Q-Learning Approach for Solving the Vehicle Routing Problem to Minimize Carbon Dioxide Emissions in the Transportation of Building Components: Transit Time-Based Graph Convolutional Network Integrated with a Q-Learning Approach

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DOI: https://doi.org/10.70693/jggs.v1i1.141

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