| 孙荣楠,潘云涛,马 峥,王 璐.细分领域层面的国际合作态势分析方法研究
——以中意合作为例[J].全球科技经济瞭望,2020,35(7):39~47 |
| 细分领域层面的国际合作态势分析方法研究
——以中意合作为例 |
| Research on the Analysis Method of International Collaboration Posture Viewed by Disciplines: Take Cooperation between China and Italy as an Example |
| 投稿时间：2020-06-20 |
| DOI： |
| 中文关键词: 科技合作态势；合作价值；合作基础；细分领域；K-means聚类 |
| 英文关键词: international collaboration posture; cooperation value; cooperation basis; science segmentation; K-means algorithm |
| 基金项目: |
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| 摘要点击次数: 1910 |
| 全文下载次数: 1356 |
| 中文摘要: |
| 中国与世界各国在科技领域建立战略合作伙伴关系，需要在细分领域层面精准定位双边科技合作状态，挖掘双方重点合作领域的发展方向。本文提出从合作价值与合作基础两个维度出发的细分领域层面双边合作特征定量分析方法，综合单指标与复合指标对学科领域进行K-means聚类分析，挖掘重点合作领域相关学科分布及双边合作重点。以2014—2018年SCI数据为基础，对中国与意大利合作研究进行实证分析，验证本文方法的科学性与实用性。 |
| 英文摘要: |
| To establish a strategic partnership in the field of science and technology between China and other countries in the world, it is necessary to accurately position the status of bilateral science and technology cooperation at the disciplinary level and dig the development direction of key areas of cooperation between the two sides. This paper proposes a quantitative analysis method of bilateral cooperation characteristics from the two dimensions of cooperation value and cooperation basis, which combines single index and composite index to conduct K-means clustering analysis in the discipline field, and excavates the distribution and cooperation focus of relevant disciplines in key cooperation fields. Based on the SCI data between 2014-2018, this paper makes an empirical analysis on the cooperation between China and Italy, which verifies the scientificity and practicability of this method. |
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