Generative AI-enabled forecasting and green supply chain sustainability assessment: Evidence from China's palm oil trade with ASEAN
文献类型：期刊论文
| 作者 | Liu, Yuhan3; Deng, Xiangzheng1,2,4; Gao, Yunxiao1 |
| 刊名 | PHYSICS AND CHEMISTRY OF THE EARTH
 |
| 出版日期 | 2026-06-01 |
| 卷号 | 143页码:104341 |
| 关键词 | Time-series generative adversarial Network (TimeGAN) Palm oil trade Green supply chain Cross-border agri-commodity trade Climate change |
| ISSN号 | 1474-7065 |
| DOI | 10.1016/j.pce.2026.104341 |
| 产权排序 | 3 |
| 文献子类 | Article |
| 英文摘要 | Food systems and agri-commodity supply chains face increasing pressures from climate change, trade volatility, and environmental degradation, palm oil positioned at the center of sustainability debates. China, as a major importer, and Indonesia, the leading producer, play crucial roles in influencing the environmental footprint and resilience of cross-border palm-oil trade. This study integrates generative AI-based demand forecasting with spatial sustainability assessment to evaluate the alignment between China's future palm-oil demand and Indonesia's sustainability-compliant supply. Using Time-series Generative Adversarial Networks (TimeGAN), we generate scenario-rich forecasts of China's palm-oil imports through 2030. A province-level Green Supply Chain Sustainability Index (GSCI) for Indonesia, incorporating deforestation intensity, land-use efficiency, zero-deforestation commitments, and RSPO certification, supports traceability-based allocation. Results show that more than 60% of China's projected imports can be met by high-GSCI provinces, indicating strong potential for deforestation-free procurement without undermining supply security. The results demonstrate how AI-enabled forecasting combined with spatial sustainability indicators can inform environmentally responsible sourcing strategies and enhance resilience in cross-border palm-oil supply systems. |
| URL标识 | 查看原文 |
| WOS关键词 | MANAGEMENT-PRACTICES ; PERFORMANCE ; RESILIENCE ; FRAMEWORK |
| WOS研究方向 | Geology ; Meteorology & Atmospheric Sciences ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001688487900001 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/220904]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Deng, Xiangzheng |
| 作者单位 | 1.Inst Geog Sci & Nat Resources Res, Chinese Acad Sci, Beijing 100101, Peoples R China; 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 101408, Peoples R China 3.Univ Chinese Acad Sci, Sch Econ & Management, Beijing 100190, Peoples R China; 4.Beijing Technol & Business Univ, Beijing 100048, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Liu, Yuhan,Deng, Xiangzheng,Gao, Yunxiao. Generative AI-enabled forecasting and green supply chain sustainability assessment: Evidence from China's palm oil trade with ASEAN[J]. PHYSICS AND CHEMISTRY OF THE EARTH,2026,143:104341. |
| APA | Liu, Yuhan,Deng, Xiangzheng,&Gao, Yunxiao.(2026).Generative AI-enabled forecasting and green supply chain sustainability assessment: Evidence from China's palm oil trade with ASEAN.PHYSICS AND CHEMISTRY OF THE EARTH,143,104341. |
| MLA | Liu, Yuhan,et al."Generative AI-enabled forecasting and green supply chain sustainability assessment: Evidence from China's palm oil trade with ASEAN".PHYSICS AND CHEMISTRY OF THE EARTH 143(2026):104341. |
入库方式： OAI收割
来源：地理科学与资源研究所
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