摘要
党的十九大以来,经济高质量发展成为研究热点。借助CiteSpace可视化软件,辅以文献计量法,选取中国知网数据库2017年—2021年6月之间收录的548篇CSSCI文献,对文献特征、研究方法和研究热点趋势等内容进行认真归纳。分析发现:该领域研究成果在2018年及之后的年度激增;期刊来源分布比较离散,尚未形成稳定的核心期刊群体;作者、研究机构相互之间合作联系较少,尚未形成显著聚集效应;研究热点比较聚焦,深度和广度不断加深拓展。学者们围绕逻辑起点、理论内涵、制约因素、驱动力量、实现途径、指标体系与测度、制度基础和国际比较等方面对经济高质量发展进行了深入研究,认为下一步可以从夯实理论基础、丰富时代内涵、完善评价体系、推进成果转化、加强国际比较等方面继续深化。
Since the 19 th National Congress of the Communist Party of China,researches on high quality economic development have become hotspots.With the aid of Citespace visualization software,supplemented by bibliometric method,the research sorted out 548 documents from the CSSCI source documents included in the CNKI database from 2017 to March 2021,and carefully summarized the characteristics of the documents,research methods and research hot trends.The analysis found that:research results have increased sharply in 2018 and thereafter;the distribution of journal sources is relatively discrete,and a stable core journal group has not yet formed;authors and research institutes have few cooperation and contact with each other and have not formed a significant clustering effect;research hotspots are focused,and the depth and breadth continue to deepen and expand.Scholars have conducted in-depth research on high quality economic development in terms of logical starting point,theoretical connotation,restrictive factors,driving forces,realization methods,index system and measurement,institutional basis,and international comparison.The next step can be to consolidate the theoretical foundation and enrich the era connotation,improve the evaluation system,promote the transformation of results,and strengthen international comparisons.
作者
马会君
杜人淮
MA Huijun;DU Renhuai(School of Political Studies,National Defense University,Shanghai 201602,China)
出处
《湖南人文科技学院学报》
2021年第6期68-77,共10页
Journal of Hunan University of Humanities,Science and Technology
基金
国家社会科学基金重大项目(20&ZD127)
马克思主义理论和建设工程特别委托项目(2021MYB006)
江苏省社会科学基金重点项目(17WTA014)
军队研究生资助课题重点项目(JY2020B056)。
关键词
新时代
经济高质量发展
可视化
计量分析
综述
展望
new era
high quality economic development
visualization
quantitative analysis
review
prospect
