Analysis of the influence of resident income level on national happiness index
DOI:
https://doi.org/10.54097/hbem.v21i.14764Keywords:
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.
Downloads
References
Ma Kunlong. Short term distributed load forecasting method based on big data. Changsha: Hunan University, 2014.
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.
Fangfang. Research on power load forecasting based on Improved BP neural network. Harbin Institute of Technology, 2011.
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.
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.






