Scientific Information Research
Keywords
humanities and social sciences, research achievements, research and development funds, research and development labor, BP neural network
Abstract
[Purpose/significance]The research of humanities and social sciences has distinctive characteristics and diversified results,and its input-output relationship is complex.The research on the input-output and interactive relationship of humanities and social sciences in colleges and universities is helpful to understand the characteristics,laws and existing problems of the input-output relationship,and expand the research methods.This study is of great significance to optimize the allocation of funds and talent distribution of humanities and social sciences in colleges and universities,and to strengthen the management of humanities and social sciences by relevant government departments.[Method/process]On the basis of theoretical analysis and based on the inter-provincial humanities and social sciences data of the ministry of education,this paper conducts a comprehensive research combining BP artificial neural network,panel data model,panel threshold model and bayesian vector autoregressive model.[Result/conclusion]The research results show:the contribution of research and development personnel to humanities and social sciences is greater than research and development expenditure;the contribution of research and development personnel to the academic paper is greater than the research and development funds;research and development funds contribute more to academic works than research and development personnel;research and development funds and personnel make significant contributions to the research report;the interaction effect between academic papers and academic works is good;the interaction effect between academic papers and research reports is good;the overall research of academic works is relatively independent of the research report.
First Page
20
Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2020.03.003
Recommended Citation
YU, Li-ping
(2020)
"Research on the Influence and Interaction Mechanism of Scientific Research Investment on Different Achievements of Humanities and Social Sciences,"
Scientific Information Research: Vol. 2:
Iss.
3, Article 3.
DOI: 10.19809/j.cnki.kjqbyj.2020.03.003
Available at:
https://eng.kjqbyj.com/journal/vol2/iss3/3
Reference
[1] GRILICHES Z.Issues in assessing the contribution of research and development to productivity growth[J].Bell journal of economics,1979,10(01):92-116.
[2] BELLINI E,PIROLI G,PENNACCHIO L.Collaborative know-how and trust in university industry collaborations: empirical evidence from ICT firms[J].The journal of technology transfer,2019(44):1939-1963.
[3] 俞立平,彭长生.高校人文社科投入与产出互动关系研究:基于PVAR模型的估计[J].科研管理,2013,34(11):147-153.
[4] 赵庆年,刘君.我国不同科类高校科研投入与产出特点研析[J].科技管理研究,2016,36(16):101-107.
[5] 高东燕,胡科,李世奇.区域产学合作强度、高校创新投入对高校创新能力的影响研究[J/OL].重庆高教研究:1-19[2020-06-30].http://kns.cnki.net/kcms/detail/50.1028.G4.20191202.1527.002.html.
[6] 阮选敏,吕冬晴,成颖,等.题名标点对我国人文社会科学学术图书被引的影响研究[J].情报学报,2019,38(05):458-472.
[7] JOHNES G,JOHNS J.Measuring the research performance of UK economics departments:An application of Data Envelopment Analysis[J].Oxford Economic Paper,1993,45(02):332-347.
[8] KOCHER M G,LUPTACIK M,SUTTER M.Measuring productivity of research in economics:A cross - country study using DEA[J].Socio-economic planning sciences,2006,40(04):314-332.
[9] YING CHU NG,SUNG-KO LI.Efficiency and productivity growth in Chinese universities during the post-reform period[J].China economic review,2009,20(02):183-192.
[10] 王甲旬,邱均平.中国省域高校人文社会科学研究效率评价:基于Bootstrap-DEA分析[J].重庆大学学报(社会科学版),2019,25(04):113-125.
[11] 陈俊生,周平,张明妍.高校人文社会科学科研投入产出效率评价:基于DEA二次相对效率和超效率模型的实证分析[J].黑龙江高教研究,2015(12):44-46.
[12] 黄炜,程慧平.我国人文社会科学学科学术论文产出的效率研究[J].情报杂志,2016,35(04):137-140.
[13] 姜彤彤.高校人文社科研究全要素生产率评价及分析[J].研究与发展管理,2013,25(05):90-97.
[14] 胡公启.江苏文科第一批次高校人文社会科学研究效率评价研究[J].科学管理研究,2018,36(03):52-55.
[15] 李瑛,任珺楠.高校人文社会科学科研效率评价研究[J].科研管理,2016,37(S1):571-577.
[16] RUMELHART D E,HINTON G E,WILLIAMS R J.Learning internal representations by back-propagation errors[J].Nature,1986,323(6088):533-536.
[17] JAFFE A B. Real effect of academic research[J].The American economic review,1989,79(05):957-970.
[18] HANSEN B E.Threshold effects in non-dynamic panels:Estimation,testing and inference[J].Journal of econometrics,1999,93(02):345-368.
[19] LITTERMAN R B.Forecasting with Bayesian vector autoregressions:five years of experience[J].Journal of business and economics statistics,1986,4(01):25-38.