A bibliometric analysis on trade openness and economic growth: current dynamics and future direction

IF 2.9 Q2 BUSINESS
Vani Aggarwal, Nidhi Karwasra
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引用次数: 0

Abstract

Purpose The purpose of this study is to provide a comprehensive analysis on the economic relationship between trade openness and economic growth and to identify current developments, potential research area and future directions. The emphasis is on the identification of annual growth of publications, country-wise distribution, publication pattern, intellectual structure and cluster analysis of scientific production in this field. Design/methodology/approach This study used evaluative techniques, text mining approach and performance analysis to identify possible patterns and correlation and to measure the impact of authors/citations/scientific production. Further, this study used the bibliometric mapping to represent the structural features of scientific production. This study emphasized on identification of the research hotspots based on occurrence of indexed keywords, productive researchers and journals during 2000–2022. Further, cluster analysis is performed using VOS viewer to analyze the current dynamics and future direction of the association between trade openness and economic growth (Eck and Waltman, 2011). Also, co-citation analysis is used in this study to identify the relations among authors or journals or documents using citation data, whereas the bibliographic coupling/mapping is intended to analyze the citing documents. Similarly, co-word analysis is used to study the article keywords that are mainly used to assess the conceptual structure of a concerning subject. Findings Economic growth is a function of trade openness, and it is important to analyze the relationship between trade openness and economic growth. Trade openness tends to become more liberalized over time, to contribute more to economic growth. Empirical evidence suggested that there exists a strong association between trade openness and economic growth. Further, keyword timeline analysis illustrated that the linkage between trade openness and economic growth is current area of interest among researchers. As per bibliometric analysis, China, Pakistan and Malaysia are the three most prolific countries in the terms of published articles on this theme. However, the most influential publications based on h-index and citation on trade openness–economic growth relationship is produced by Turkey. Based on cluster analysis, this study suggests that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Research limitations/implications There are some limitations of this study. The first limitation is the authors have used Scopus database, leaving the possibility for future research to use Web of Science, Google Scholar or other similar sources. The second limitation is that the authors have used search terms “trade openness “and “economic growth,” although research could be performed using synonyms or even relevant terms in other languages. Practical implications Cluster analysis suggested that researchers are currently working on trade openness–economic growth relationship with other variables such as FDI, financial development, labor force, environment degradation and carbon emission, while in future, researchers could work on variables such as technology and sustainable development. Therefore, this study identified the potential research area in this research domain. Originality/value To confirm the originality of this study, to the best of the authors’ knowledge, this is the first study to combine bibliometric analysis and cluster analysis on trade openness–economic growth relationship. This study makes a comparison with phenomena/processes/events in contemporary economic and social reality in the field of trade openness and economic growth relationship.
贸易开放与经济增长的文献计量分析:当前动态与未来方向
本研究的目的是全面分析贸易开放与经济增长之间的经济关系,并确定当前的发展,潜在的研究领域和未来的方向。重点是确定出版物的年度增长、国家分布、出版模式、知识结构和这一领域科学生产的聚类分析。设计/方法/方法本研究使用评估技术、文本挖掘方法和性能分析来确定可能的模式和相关性,并测量作者/引用/科学产出的影响。此外,本研究使用文献计量学映射来表示科学生产的结构特征。本研究重点通过2000-2022年检索关键词、生产性研究人员和期刊的出现情况来识别研究热点。此外,使用VOS查看器进行聚类分析,分析贸易开放与经济增长之间关系的当前动态和未来方向(Eck和Waltman, 2011)。此外,共被引分析用于识别作者、期刊或文献之间的关系,而书目耦合/映射用于分析被引文献。同样,共词分析用于研究文章关键词,这些关键词主要用于评估相关主题的概念结构。经济增长是贸易开放的函数,分析贸易开放与经济增长的关系具有重要意义。随着时间的推移,贸易开放往往会变得更加自由化,对经济增长的贡献更大。实证证据表明,贸易开放与经济增长之间存在很强的关联。此外,关键词时间轴分析表明,贸易开放与经济增长之间的联系是当前研究人员感兴趣的领域。根据文献计量分析,中国、巴基斯坦和马来西亚是这一主题发表文章最多的三个国家。然而,基于h指数和引文对贸易开放与经济增长关系影响最大的出版物是土耳其。基于聚类分析,本研究建议,目前研究人员主要研究贸易开放-经济增长与FDI、金融发展、劳动力、环境恶化和碳排放等其他变量的关系,未来研究人员可以研究技术和可持续发展等变量。研究的局限性/意义本研究有一些局限性。第一个限制是作者使用了Scopus数据库,为未来的研究留下了使用Web of Science、谷歌Scholar或其他类似来源的可能性。第二个限制是,作者使用的搜索词是“贸易开放”和“经济增长”,尽管研究可以使用其他语言的同义词甚至相关术语进行。聚类分析表明,目前研究人员正在研究贸易开放与经济增长的关系与其他变量(FDI、金融发展、劳动力、环境退化和碳排放)的关系,未来研究人员可以研究技术和可持续发展等变量。因此,本研究确定了该研究领域的潜在研究领域。原创性/价值为了证实本研究的原创性,据作者所知,这是第一个将文献计量分析和聚类分析结合起来研究贸易开放与经济增长关系的研究。本研究从贸易开放与经济增长关系的角度,对当代经济社会现实中的现象/过程/事件进行比较。
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来源期刊
CiteScore
6.60
自引率
17.20%
发文量
50
期刊介绍: The following list indicates the key issues in the Competitiveness Review. We invite papers on these and related topics. Special issues of the Review will collect papers on specific topics selected by the editors. Definition/conceptual framework of competitiveness Competitiveness diagnostics and rankings Competitiveness and economic outcomes Specific dimensions of competitiveness Competitiveness and endowments Competitiveness and economic development Location and business strategy International business and the role of MNCs Innovation and innovative capacity Clusters and cluster initiatives Institutions for competitiveness Public policy (e.g., innovation, cluster development, regional development) The Competitiveness Review aims to publish high quality papers directed at scholars, government institutions, businesses and practitioners. It appears in collaboration with key academic and professional groups in the field of competitiveness analysis and policy, including the Microeconomics of Competitiveness (MOC) network and The Competitiveness Institute (TCI) practitioner network for competitiveness, clusters and innovation.
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