2025年3月22日 周六
Study on the influence mechanism of high level talent flow intention in universities from the perspective of new quality productivity: Taking western region universities as an example
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G647;C964.2

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    Abstract:

    High level talents are the factor of labor force in productivity and the decisive factor in developing new quality productivity. The flow of high-level talents is a resource allocation method presented by labor prices in the process of human resource allocation. Driven by the national Double First-Class policy, the contradiction of imbalanced and insufficient development of universities in the western region is still prominent. The relative shortage of talent resources caused by the pressure of assessment and evaluation based on hard indicators such as doctoral ratio and professor ratio is still severe. Attracting outstanding high-level talents to join has become a key element for universities to win a competitive advantage. This social consensus has prompted universities and research units to adopt a talent poaching model, which has raised questions about the reasonable flow of high-level talents in society. To further explore the influencing factors, intrinsic motivations, and mechanisms of flow intention of high-level talents in universities in the western region of the new era, the study adopts literature review and field research methods. It is found that six main categories, including high expectations for economic benefits, good expectations for scientific research development, reasonable expectations for assessment and evaluation, comprehensive service guarantee expectations, ideal expectations for social adaptation, and expectations for a good talent environment, collectively constitute the influencing factors, and have a significant impact on the flow of high-level talents. Analyzing the deep-seated reasons, it is found that economic treatment directly affects the flow intention, development of scientific research and assessment and evaluation are the internal motivation of high-level talent flow. They directly affect the flow intention of high-level talents, and both reflect the relationship between the flow value and flow intention of high-level talents. Service guarantee, social adaptation and talent environment constitute the internal and external situation of high-level talent flow, which not only indirectly affects the flow intention by affecting the flow value, but also regulates the relationship between the flow value and the flow intention. Therefore, the storyline of direct cause → intrinsic cause (belonging to direct cause) → internal and external situation → flow intention can be used to describe the phenomenon of high-level talent flow intention in universities in the western region, and its core category can be determined as the influence mechanism of high-level talent flow intention in universities in the western region. Therefore, in the perspective of developing new quality productive forces, especially based on the model of high-level talent flow intention in universities in the western region, efforts should be made to reduce the flow intention of high-level talent by focusing on psychological income, building development platforms, improving institutional guarantees, and cultivating emotional identity.

    Reference
    [1] 徐娟,贾永堂.大学高层次人才流动乱象及其治理:基于政府规制与市场设计理论的探析[J].高校教育管理,2019(3):97-106.
    [2] 张林,蒲清平.新质生产力的内涵特征、理论创新与价值意蕴[J].重庆大学学报(社会科学版),2023(6):137-148.
    [3] 姚树洁,张小倩.新质生产力的时代内涵、战略价值与实现路径[J].重庆大学学报(社会科学版),2024(1):112-128.
    [4] 徐政,郑霖豪,程梦瑶.新质生产力助力高质量发展:优势条件、关键问题和路径选择[J].西南大学学报(社会科学版),2023(6):12-22.
    [5] 马浚锋."从集聚走向均衡":中国高校顶尖人才集聚的空间溢出效应及其收敛性[J].科技进与对策,2024(1):1-10.
    [6] 张晓晶,汪勇.社会主义现代化远景目标下的经济增长展望:基于潜在经济增长率的测算[J].中国社会科学,2023(4):4-25.
    [7] 陆慧玲,曹辉."双一流"建设背景下高校教师流动及其合理性判别[J].河北师范大学学报(教育科学版),2019(6):57-63.
    [8] FERNÁNDEZ-ZUBIETA A, GEUNA A, LAWSON C.What do we know of the mobility of research scientists and impact on scientific production[M]//Global Mobility of Research Scientists. Amsterdam: Elsevier, 2015: 1-33.
    [9] 贺国庆.外国高等教育史[M].北京:人民教育出版社,2003:49.
    [10] 黄海刚.从人才流失到人才环流:国际高水平人才流动的转换[J].高等教育研究,2017(1):90-97,104.
    [11] SAXENIAN A. From brain drain to brain circulation: transnational communities and regional upgrading in India and China[J]. Studies in Comparative International Development, 2005, 40(2): 35-61.
    [12] 陈凯华, 赵彬彬, 张超.全球科研人员百年跨国流动规律、格局与势差效应:基于Scopus科学文献数据的实证研究[J].管理世界, 2024(2): 1-27, 100, 28-31.
    [13] 陈凯华, 杨一帆, 陈光, 等.全球科研人员流动规律与不同层次人才的差异化研究:基于Scopus百年论文数据的研究[J].科学学与科学技术管理, 2023(4): 3-20.
    [14] 郭扬,马锋.从共同到共通:青年流动人才的数字生活及多元归属感[J].西安交通大学学报(社会科学版),2024(3):1-11.
    [15] 孙康,司月芳.创新型人才流动的空间结构与影响因素:基于高被引华人科学家履历分析[J].地理学报,2022(8): 2113-2130.
    [16] 李志峰,魏迪.高校教师流动的微观决策机制:基于"四力模型"的解释[J].高等教育研究,2018(7):39-45.
    [17] 郑峰.人才流动的滑动平均马尔科夫链预测模型离散模拟[J].统计与决策,2017(3):32-35.
    [18] 李峰, 徐付娟, 郭江江.京津冀、长三角、粤港澳科技人才流动模式研究:基于国家科技奖励获得者的实证分析[J].科学学研究, 2022(3): 454-463.
    [19] KOFMAN E.The invisibility of skilled female migrants and gender relations in studies of skilled migration in Europe[J].International Journal of Population Geography, 2000, 6(1): 45-59.
    [20] 叶杨,陈强远,赵浩云,等.人才政策如何影响人才流动:基于2002—2021年3 308项政策文本的量化分析[J/OL].科学学研究.https://doi.org/10.16192/j.cnki.1003-2053.20240226.001.
    [21] 魏浩,赖德胜.文化因素影响国际留学生跨国流动的实证研究:兼论中国扩大来华留学生教育规模的战[J].教育研究,2017(7):55-67.
    [22] 马双,汪怿.人才政策对人才跨区域流动的影响:以长三角城市群为例[J].中国人口科学,2023(1): 101-113.
    [23] 姚晨,胡海洋.数字经济、创新资源流动与区域创新能力提升:基于城市面板数据的空间杜宾模型研究[J].西南民族大学学报(人文社会科学版),2023(4):106-115.
    [24] 郑江淮,戴玮.发明人才跨国流动对全球价值链地位的影响:行业异质性效应及其战略含义[J].经济管理,2023(3):5-27.
    [25] DAVENPORT S. Panic and panacea: brain drain and science and technology human capital policy[J]. Research Policy, 2004, 33(4): 617-630.
    [26] 董晓宏,魏娟,白海琦."三链融合"视角下京津冀人才政策评价与优化[J].经济与管理,2024(2):9-16.
    [27] VEUGELERS R, VAN BOUWEL L. Destinations of mobile European researchers[M]//Global Mobility of Research Scientists. Amsterdam: Elsevier, 2015: 215-237.
    [28] 寸守栋.国际人才跨区域自由流动机制创新研究:基于美国国家科学基金委(NSF)案例研究与借鉴[J].企业经济,2021(1):128-134.
    [29] 余博,潘爱民.数字经济、人才流动与长三角地区高质量发展[J].自然资源学报,2022(6):1481-1493.
    [30] 曾凯华.欧盟人才流动政策对粤港澳大湾区发展的启示[J].科学管理研究,2018(3):87-90.
    [31] 黎庆兴,李德显.推拉理论视域下高校人才流动困境及其治理路径[J].江苏高教,2021(10):46-52.
    [32] 白强,迟明阳.符号生产:"双一流"建设背景下高层次人才流动治理研究[J].重庆大学学报(社会科学版),2020(6):243-252.
    [33] SMART J C.A causal model of faculty turnover intentions[J].Research in Higher Education,1990,31(5):405-424.
    [34] HATT P K.Occupation and social stratification[J].American Journal of Sociology,1950,55(6):533-543.
    [35] FERNANDZE-ZUBIETA A,GEUNA A,LAWSON C.Glob-al mobility of research scientist: The economics of who goes where and why[M].New York: Academic Press,2015:13.
    [36] 卢江,郭子昂,王煜萍.新质生产力发展水平、区域差异与提升路径[J].重庆大学学报(社会科学版),2024(3):1-17.
    [37] 彭秀芬."双一流"背景下基于"推拉理论"的高校高层次人才流动研究[J].黑河学刊,2020(5):30-32.
    [38] 李磊,王天宇.城市空气污染与人才流动[J].经济学报,2023(03):719-747.
    [39] 张悦,徐秀丽,李小云.链接地方与全球:全球治理人才培养的路径探索:基于中国农业大学全球发展治理人才培养实践的研究[J].清华大学教育研究,2024(1):50-57,89.
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袁川,张婷,董泽芳.新质生产力视域下高校高层次人才流动意愿影响机制研究——以西部地区高校为例[J].重庆大学学报社会科学版,2024,30(6):138~151

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  • Online: February 13,2025
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