Yoon Hye Sun, Student, University of Connecticut
Chanju Oh, Student, University of Connecticut
Trang Nguyen, Student, Student
Yu-Ting Cheng, Student, University of Connecticut
This study investigates the relationship between the trend of music type and the economic situation of a country. The study analyzes a song’s popularity index on Spotify in different countries from 2005-2019, as well as economic indicators such as GDP, inflation rate, unemployment rate, and happiness index. The research utilizes statistical techniques such as correlation analysis and regression analysis to examine the relationship between these variables.
We assume that there is a significant correlation between the trend of music type and the economic situation of a country. During times of economic downturn, we presume there is an increase in the popularity of upbeat and energetic genres such as electronic dance music, while during economic growth periods, more soulful, introspective, thoughtful music genres tend to dominate the charts. The study provides valuable insights into the cultural and economic factors that influence the music industry and can assist music producers and marketers in understanding consumer behavior so that they can make more informed decisions.
