Analysis of the influence of resident income level on national happiness index

Authors

  • Ruohan Zhang

DOI:

https://doi.org/10.54097/hbem.v21i.14764

Keywords:

income level, national happiness index, Diminishing marginal effect, Public policy.

Abstract

National Happiness Index (GNH), as an indicator to measure the overall happiness level of a country, has been paid more and more attention in policy making and social research. In this context, the income level of residents, as one of the important factors affecting national happiness, has aroused extensive research interest. This paper aims to explore the relationship between individual income level and national happiness index, and analyze the complexity behind this relationship.

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References

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SHI Biao, LI Yu Xia, YU Xhua, YAN Wang. Short-term load forecasting based on modified particle swarm optimizer and fuzzy neural network model. Systems Engineering-Theory and Practice, 2010, 30(1): 158-160.

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Amjady N. Short-term hourly load forecasting using time series modeling with peak load estimation capability. IEEE Transactions on Power Systems, 2001, 16(4): 798-805.

Ma Kunlong. Short term distributed load forecasting method based on big data. Changsha: Hunan University, 2014.

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Published

12-12-2023

How to Cite

Zhang, R. (2023). Analysis of the influence of resident income level on national happiness index. Highlights in Business, Economics and Management, 21, 802-805. https://doi.org/10.54097/hbem.v21i.14764