摘要
以中国知网(CNKI)数据库中收录的发表于1994—2021年的411篇针对国内融资融券领域研究的核心文献为研究样本,对国内融资融券领域发文趋势、研究机构与研究力量、期刊来源、高频被引文献、经典文献内容进行系统分析.利用CiteSpace软件绘制科学知识图谱,归纳总结国内融资融券领域研究热点演进过程、研究前沿以及发展趋势.结果显示,国内融资融券领域总体发文量受扩容政策出台的影响整体呈现周期性波动;复旦大学、南京大学等作为主要研究机构发文贡献量靠前;褚剑、李志生等学者研究股价波动和定价效率的相关文献成为该领域研究的高频引用重要成果.将融资融券领域研究进程划分为萌芽、起步、落地、发展、成熟五大研究阶段,研究热点主要集中于市场影响关系、公司决策与治理、利益相关者影响、研发投入关系和业务理论完善五大方面,为研究融资融券业务的学者提供借鉴和参考.
Based on the 411 key research papers published in CNKI database from 1994 to 2021,the published works,research institutions and research strengths,journal sources,high frequency co-cited literature and classical literature contents in the field of margin trading in China were systematically analyzed.Employing the CiteSpace software to draw a knowledge map,the evolution process,research frontiers and trends of domestic margin trading research hotspots were summarized.The results show that the overall number of research papers and their cyclical fluctuation in the domestic margin trading field are subject to the expansion policies.Fudan University,Nanjing University,etc.as the main research institutions had made the biggest contributions;researches concerning the stock price volatility and pricing efficiency by Chu Jian,Li Zhisheng and other scholars had become high frequency cited results in this field.The research process in the field of margin trading were divided into five stages:germination,start,landing,development and maturity.The research hotspots were mainly concentrated on five aspects:market impacts relationship,corporate decisionmaking and management,stakeholder influence,R&D investment relationship and business theory improvement,which can provide a frame of reference for scholars studying margin trading business.
作者
杨海玲
施兴森
肖会会
王国强
YANG Hailing;SHI Xingsen;XIAO Huihui;WANG Guoqiang(School of Mathematics,Physics and Statistics,Shanghai University of Engineering Science,Shanghai 201620,China;Shanghai Kingstar Fintech Co.,Ltd.,Shanghai 201603,China)
出处
《上海工程技术大学学报》
CAS
2023年第4期428-434,共7页
Journal of Shanghai University of Engineering Science
基金
浦东新区科技发展基金产学研专项资金(人工智能)项目资助(PKX2020-R02)
全国统计科学研究项目一般项目资助(2020LY067)
国家自然科学基金面上项目资助(11971302)。
