摘要
本文借助文献计量软件CiteSpace,运用共词分析和聚类分析方法,通过构建余弦指数、关注度等指标,从CSSCI来源期刊和高影响力期刊的经济学文献数据中计量分析2019年我国经济学研究现状、热点和新趋势,并可视化解读了关注度前十位的热点领域的重要研究进展。计量结果显示,2019年我国经济学研究呈现出一系列新特点,“一带一路”关注度居首,对外直接投资和人民币国际化成为该领域的高频关键词。乡村振兴与农村经济发展的关注度提升至第二位,农业经营模式和农村土地流转是该领域的热点问题。经济增长领域的关注点从增长速度转向高质量增长机制,促使全要素生产率、创新发展、资源错配等关键词的共现频次增加。随着中美贸易争端形势不断变化,围绕贸易摩擦的国际经济研究发文量显著提高。此外,2019年正值新中国成立70周年,较多文献对新中国成立以来的经济发展路径进行了回顾性总结和分析。
Based on the CSSCI literature data,this paper analyzes the frontiers,hot topics and new trends of China economic research in 2019,utilizing the co-word and cluster methods with CiteSpace.The top ten hottest fields of research are interpreted with visualization.Bibliometric results demonstrate that China's economic research in 2019 presents a series of new features.The“Belt and Road”initiative takes the lead,and foreign direct investment and RMB internationalization were high frequency keywords in this field.The focus on rural vitalization and rural economic development continues to increase.Most of the literature discusses the reform path of rural vitalization through agricultural management and rural land turnover.Research in the field of economic growth is paying more and more attention to high-quality growth mechanisms,leading to an increase in the frequency of keywords such as total factor productivity,innovative development,and resource misallocation.As the China-U.S.trade disputes intensify,the number of international economic studies surrounding trade frictions has increased significantly.In addition,2019 is the 70th anniversary of the founding of the People's Republic of China.A large volume of literature has reviewed and analyzed the economic development path since the founding of the People's Republic of China,making it a new hot research area.
作者
罗润东
李琼琼
滕宽
LUO Rundong;LI Qiongqiong;TENG Kuan(Shandong University, Weihai, China)
出处
《经济学动态》
CSSCI
北大核心
2020年第4期111-128,共18页
Economic Perspectives
基金
国家自然科学基金项目(71573158)
教育部人文社会科学研究项目(19YJC790055)
山东省社会科学基金项目(19DJJJ08)的资助.
关键词
经济学研究
文献计量
共词分析
聚类分析
热点分析
Economic Research
Bibliometrics
Co-word Analysis
Cluster Analysis
Hot Research Topics