Bibliometric Analysis of Granger Causality Studies

被引:7
作者
Lam, Weng Siew [1 ]
Lam, Weng Hoe [1 ]
Jaaman, Saiful Hafizah [2 ]
Lee, Pei Fun [1 ]
机构
[1] Univ Tunku Abdul Rahman, Fac Sci, Dept Phys & Math Sci, Kampar Campus,Jalan Univ, Kampar 31900, Perak, Malaysia
[2] Univ Kebangsaan Malaysia, Fac Sci & Technol, Dept Math Sci, Bangi 43600, Selangor, Malaysia
关键词
Granger causality; bibliometric analysis; subject area; business economics; VOSviewer; SOURCE NORMALIZED IMPACT; ECONOMIC-GROWTH; EFFECTIVE CONNECTIVITY; ENERGY-CONSUMPTION; TIME-SERIES; BRAIN; INDICATOR; SENTIMENT; COINTEGRATION; MODEL;
D O I
10.3390/e25040632
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
Granger causality provides a framework that uses predictability to identify causation between time series variables. This is important to policymakers for effective policy management and recommendations. Granger causality is recognized as the primary advance on the causation problem. The objective of this paper is to conduct a bibliometric analysis of Granger causality publications indexed in the Web of Science database. Harzing's Publish or Perish and VOSviewer were used for performance analysis and science mapping. The first paper indexed was published in 1981 and there has been an upward trend in the annual publication of Granger causality studies which are shifting towards the areas of environmental science, energy, and economics. Most of the publications are articles and proceeding papers under the areas of business economics, environmental science ecology, and neurosciences/neurology. China has the highest number of publications while the United States has the highest number of citations. England has the highest citation impact. This paper also constructed country co-authorship, co-analysis of cited references, cited sources, and cited authors, keyword co-occurrence, and keyword overlay visualization maps.
引用
收藏
页数:24
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