How China's eco-innovation technology transfer changes: A semantic association-based natural language processing method to analyze Chinese eco-innovation patents
文献类型：期刊论文
| 作者 | Zhu, He1,2,3,4; He, Hao5; Wang, Shouyang1,4,6 |
| 刊名 | JOURNAL OF CLEANER PRODUCTION
 |
| 出版日期 | 2024-12-15 |
| 卷号 | 484页码:144356 |
| 关键词 | Eco-innovation technology Patent transfer Natural language processing Technology life cycle China |
| DOI | 10.1016/j.jclepro.2024.144356 |
| 产权排序 | 1 |
| 文献子类 | Review |
| 英文摘要 | Eco-innovation technology supports sustainable development, and the transfer process serves as a critical barometer of commercialization and application. Considering the insufficient analysis of eco-innovation technology transfers in existing research, we use semantic association-based natural language processing to identify the trends in eco-innovation patent transfers in China. A comprehensive data search and cleansing process yielded 16,088 transferred ecological patents, categorized into three stages: accumulation and development stage, stable development stage, and rapid development stage. Firms are the primary applicants and assignees for these patents, showing regional imbalances invention activity and patent transfers. Key areas in patent-related R&D include water treatment, microbial technology, agricultural cultivation techniques, and fertilizer preparation. The semantic association network analysis of eco-innovation patent transfers shows six keyword communities during the accumulation and stable development stages, and eight communities during the rapid development stage. The relationship between different communities reflects technological relevance. Technology life cycle analysis predicts promising growth for eco-innovation patent transfers in microbial water treatment, cultivation, ecological environment device design, and genetic modification technology. In contrast, the market demand for technologies in aquaculture, water pollution, solid waste management, livestock breeding, and composite materials appears to be nearing saturation. This study provides valuable insights into eco-innovation, particularly in terms of commercialization and application. |
| WOS关键词 | UNIVERSITY TECHNOLOGY ; PERFORMANCE ; EFFICIENCY |
| WOS研究方向 | Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology |
| WOS记录号 | WOS:001373704300001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/210428]  |
| 专题 | 区域可持续发展分析与模拟院重点实验室_外文论文 |
| 通讯作者 | Zhu, He |
| 作者单位 | 1.Chinese Acad Sci, Ctr Forecasting Sci, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 3.Univ Chinese Acad Sci, Sch Resources & Environm, Beijing 100049, Peoples R China 4.Univ Chinese Acad Sci, Sch Econ & Management, Beijing, Peoples R China 5.Chinese Acad Sci, Inst Software, Beijing, Peoples R China 6.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhu, He,He, Hao,Wang, Shouyang. How China's eco-innovation technology transfer changes: A semantic association-based natural language processing method to analyze Chinese eco-innovation patents[J]. JOURNAL OF CLEANER PRODUCTION,2024,484:144356. |
| APA | Zhu, He,He, Hao,&Wang, Shouyang.(2024).How China's eco-innovation technology transfer changes: A semantic association-based natural language processing method to analyze Chinese eco-innovation patents.JOURNAL OF CLEANER PRODUCTION,484,144356. |
| MLA | Zhu, He,et al."How China's eco-innovation technology transfer changes: A semantic association-based natural language processing method to analyze Chinese eco-innovation patents".JOURNAL OF CLEANER PRODUCTION 484(2024):144356. |
入库方式： OAI收割
来源：地理科学与资源研究所
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