Exploring association between subjective well-being and ecological footprints: panel data analysis

Authors: Xiu Wu*, Texas State University - San Marcos, F. Benjamin Zhan, Texas State University
Topics: Anthropocene, Sustainability Science, Environmental Science
Keywords: Subjective well-being; Ecological Footprint; panel data analysis
Session Type: Paper
Day: 4/8/2020
Start / End Time: 9:35 AM / 10:50 AM
Room: Capitol Ballroom 4, Hyatt Regency, Fourth Floor
Presentation File: No File Uploaded


One of the important duties of government is to improve the happiness of the people. The environmental aspects in the existing literature were nearly ignored. This paper aims to explore the relationship between environmental factors and Subjective well-being (SWB) lead to significantly increase our understanding of happiness and optimize policy-making.
A panel dataset was collected across 101 countries from 2006 to 2016 from the World Values Survey, World Bank and the global footprint network etc. A series of statistical methods such as partial correlation, simple OLS, stepwise regression and fixed effects panel regression were carried out to examine the spatial-temporal association between SWB and Ecological Footprint (EF).
The empirical results are as follows: (1) SWB is dramatically affected by the rich level of countries yet not sensitive to time series. (2) When the degree of development is similar, bio-capacity (BC) has positive effects on SWB. (3) When you do correlation analysis without any constrains, SWB is positively correlated with EF. However, when other factors that affect the SWB are considered, total ecological footprint (TEF) per capita was negatively correlated in developed countries but not significantly correlated in developing countries.(4) the links between SWB and EF changes with different development level: more rich level the counties stay at, the more obvious the relationship between SWB and EF.
The conclusions is below: (1) The link between SWB and EF is related to country’s development level.(2) In the same level of development between countries, SWB is estimated by panel data analysis.

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