中国人文社会科学研究水平的时空格局演化特征分析
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江西理工大学

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江西省教育科学“十四五”规划2024年高等教育管理改革专项课题“江西省一流学科链与‘1269’行动计划重点产业链的契合度与提升路径研究”(24GJZX004);江西省学位与研究生教育教学改革研究项目“对分课堂教学在研究生‘金课’建设中的改革与实践——以《管理经济学》课程为例”(JXYJG-2023-114)


Research on the Evolution Characteristics of Spatio-Temporal Pattern of China's Humanities and Social Science Research Level
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    摘要:

    国家社会科学基金作为衡量中国人文社会科学领域科研能力水平的重要标志,研究项目立项分布的时空格局演化,有利于揭示我国人文社会科学发展内在规律。基于2014-2023年国家社会科学基金立项数据,利用全局空间自相关分析、LISA集聚和热点分析等方法,探究中国人文社会科学研究水平的时空格局演化特征。结果表明:(1)从整体分布看,中国人文社会科学研究水平空间布局差异显著,即东部省份人文社会科学研究水平较高,而中西部省份则相对较低;(2)从区域差异看,中国人文社会科学研究水平存在高-高型、高-低型和低-高型三大集聚类型,其中,湖北、山东等东中部6省份为高-高型集聚,河北、天津、安徽和江西4省份为低-高型集聚,而广东省则始终为高-低型集聚;(3)从个别地区看,上海、北京的人文社会科学研究水平长期处于热点区域,江苏、浙江等沿海省份集中分布在次热区域,而湖北、重庆等中西部省份则分布在次冷点或冷点区域。最后,提出“应进一步提升东部地区人文社会科学研究水平,加大中西部地区科研资源投入与优化配置,鼓励东中西部高校科研机构建立合作及对口帮扶机制,逐步缩小东中西部学术资源差异,增强中西部地区科研能力,推动我国人文社会科学研究水平整体提升”的相关建议。

    Abstract:

    National Social Science Fund projects serve as an important symbol to measure the level of scientific research capabilities in the field of humanities and social sciences in China. Studying the evolution of the spatiotemporal pattern of project distribution is conducive to revealing the inherent laws, differences and trends in the development of China's humanities and social sciences. Based on the National Social Science Fund project data from 2014 to 2023, this paper uses methods such as global spatial autocorrelation , Local Indicators of Spatial Association, and Getis-Ord index analysis to explore the evolution characteristics of the spatiotemporal pattern of China's humanities and social sciences research levels in the past 10 years. The results show that: (1) From the overall distribution characteristics, the spatial layout of the level of humanities and social sciences research in China is significantly different, and there is obvious spatial autocorrelation. That is, the level of humanities and social sciences research in the eastern provinces is higher, while the level of humanities and social sciences research in the central and western provinces is relatively low. (2) From the perspective of local differences, there are three types of agglomeration in the level of humanities and social sciences research in China: "high-high type", "high-low type" and "low-high type". Among them, six provinces in the east and central regions, such as Hubei and Shandong, are in the "high-high type" agglomeration model, four provinces, including Hebei, Tianjin, Anhui and Jiangxi, are in the "low-high type" agglomeration model, and Guangdong has always been in the "high-low type" agglomeration model. (3) From the perspective of internal spatial pattern, the level of humanities and social sciences research in Shanghai and Beijing has long been in the hotspot area, while coastal provinces such as Jiangsu and Zhejiang are mainly concentrated in the sub-hotspot area, while central and western provinces such as Hubei and Chongqing are mainly distributed in the sub-cold or cold area. Finally, it is proposed that "the research level of humanities and social sciences in the eastern region should be further improved, the investment and optimal allocation of scientific research resources in the central and western regions should be increased, and the universities and research institutes in the eastern, central and western regions should be encouraged to set up a mechanism of cooperation and counterpart support, so as to gradually narrow the differences in academic resources between the eastern, central and western regions, enhance the scientific research capacity of the central and western regions, and push forward the overall improvement of the level of research in humanities and social sciences in China!"

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叶前林,黎莹,卢红,李佳欣.中国人文社会科学研究水平的时空格局演化特征分析[J].,2024,44(24).

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  • 收稿日期:2024-08-19
  • 最后修改日期:2025-01-07
  • 录用日期:2024-10-29
  • 在线发布日期: 2025-03-19
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