關於自然零
我們的基金會
自然零是一個簡化永續發展工作的平台，提供全面的碳運算工具和可行的策略。我們指導大 學和組織進行有影響力的環境管理。我們的團隊由環境教育和意識領域的專家組成，我們致力於教育人們永續發展的重要性。
我們的使命
在“自然零”，我們的使命是幫助大學和組織採取行動實現環境管理。我們提供計算和減少碳排放的工具和策略，旨在教育人們永續發展的重要性。透過共同努力，我們可以為我們的星球創造一個更永續的未來。
認識我們的團隊
Prof. Hong Yao-Ming brings extensive experience in environmental science and carbon neutrality research. As the leader of the Carbon Neutrality Research Center, he oversees the development of carbon neutrality standards, verification processes, and carbon footprint tools that industries can use to accurately assess and manage their emissions.
Prof. Hong Yao-Ming
Department of Natural Resources and Environmental Studies, College of Marine Sciences and Environmental Studies
Kevin Lai
Assistant Researcher
Amit Kumar Sah
Post Doc Researcher
Chen Yen Fu
Assistant Researcher
Cheska Aujero
Assistant Researcher
Cai XinYi
Project Manager
Lu Shuting
Project Manager
Wu FanYu
PhD Student
Chen XiaoQiang
Master Student
Lu FangTeng
Master Student
Jiraporn Singmanee
Master Student
認識我們的團隊
Lin, S. H., Sah, A. K., & Hong, Y. M. (2025). Environmental Literacy Among the General Public in Chiayi County, Taiwan. Sustainability, 17(7), 3108.
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Enhancing Brand Value Through Circular Economy Service Quality: The Mediating Roles of Customer Satisfaction, Brand Image, and Customer Loyalty
Sah, A. K., Hong, Y. M., & Huang, K. C. (2025). Enhancing Brand Value Through Circular Economy Service Quality: The Mediating Roles of Customer Satisfaction, Brand Image, and Customer Loyalty. Sustainability, 17(3), 1332.
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The Substitution Effect of the Fine Aggregate in Concrete with Oyster Shell
Hong, Y. M., & Choudhury, S. R. (2024). The Substitution Effect of the Fine Aggregate in Concrete with Oyster Shell. Materials, 17(24), 6148.
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Circular Economy Implementation in an Organization: A Case Study of the Taiwan Sugar Corporation
Sah, A. K., & Hong, Y. M. (2024). Circular Economy Implementation in an Organization: A Case Study of the Taiwan Sugar Corporation. Sustainability, 16(17), 7865.
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Performance comparison of machine learning models for concrete compressive strength prediction
Sah, A. K., & Hong, Y. M. (2024). Performance comparison of machine learning models for concrete compressive strength prediction. Materials, 17(9), 2075.
我們的克林特
