Household Consumption Function Under Permanent Income Hypothesis: A Bibliometric Analysis Using R (78299)

Session Information: Research Methodologies, Quantitative and Qualitative
Session Chair: Geun Cheol Lee

Saturday, 25 May 2024 17:35
Session: Session 5
Room: Room 605
Presentation Type: Oral Presentation

All presentation times are UTC + 9 (Asia/Tokyo)

The Permanent Income Hypothesis (PIH) has an inter-temporal optimization model of consumer behavior, which is currently the most coherent and logically consistent model, despite its straightforward, intuitive appeal. This makes the empirical analysis of consumption expenditure among households under the PIH advocacy remain to be a subject of interest. By employing a narrative review and bibliometric analysis, the main objective of this research is to examine the household consumption function under PIH. This paper will be focused on systematically documenting the intellectual structure, volume, tendencies of knowledge development, the author, and source impact. Literature is obtained and compiled from the Scopus database and analyzed using the R Studio. The bibliometric study using R identifies the subject's most influential journals, authors, and papers. The findings from the bibliometric analysis and narrative review will identify the research trends by gaining insights into the structure and dynamics of scientific knowledge. In addition, the bibliometric review can reveal the evolution of research themes and allow a comparative analysis approach to be used to examine studies across different countries. Lastly, this study will forecast future research directions based on the past literature examined, anticipating the shifts in research focus and opening up new avenues of study extension with established contributions.

Wong Sing Yun, Universiti Malaysia Sabah, Malaysia

About the Presenter(s)
Dr Sing Yun Wong is a University Associate Professor/Senior Lecturer at Universiti Malaysia Sabah in Malaysia

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00