As environmental degradations constantly and directly threaten human well-being, it is imperative to explore the environmental impacts on people’s happy life. This research investigates the association between subjective well-being (SWB) and ecological footprints (EF) through space-time fixed effects panel regressions. EF, as a vital indicator of environmentally sustainable development, plays a vital role in ecological balance. SWB determines the subjective quality of life for humanity. EF-related factors and socio-economic indexes referring to GDP, urbanization rate, income, education, health, political stability, and political voice accountability in 101 countries were captured. Compared with ordinary least square (OLS), stepwise regression (SR) and fixed effects panel regression models (FEPR) exhibited good fitness regardless of the cross-section or longitudinal models due to R2 beyond 0.9. The finding also discloses that EF and health were positively significant to SWB, while income was negatively significant to SWB. EF was an invert u-shaped link to SWB, which met the assumption of EKC. This research provided a model-driven quantitative method to address environmental impacts on people’s quality life of happiness, and opened shared doors for further research of carbon balance and circular economy.

中文翻译：

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使用固定效应面板回归探索主观幸福感与生态足迹之间的关联

环境退化不断、直接地威胁着人类福祉，探索环境对人们幸福生活的影响势在必行。本研究通过时空固定效应面板回归研究主观幸福感 (SWB) 与生态足迹 (EF) 之间的关联。EF作为环境可持续发展的重要指标，对生态平衡起着至关重要的作用。SWB 决定了人类的主观生活质量。捕获了 101 个国家的 EF 相关因素和社会经济指标，涉及 GDP、城市化率、收入、教育、健康、政治稳定性和政治声音问责制。与普通最小二乘法（OLS）相比，由于 R2 超过 0.9，逐步回归 (SR) 和固定效应面板回归模型 (FEPR) 表现出良好的适应性，无论横截面或纵向模型如何。调查结果还表明，EF 和健康对 SWB 具有正显着性，而收入对 SWB 具有负显着性。EF 是一个倒 U 形连接 SWB，满足 EKC 的假设。该研究提供了一种模型驱动的定量方法来解决环境对人们幸福生活质量的影响，并为进一步研究碳平衡和循环经济打开了共享之门。