Du, J., Liu, Y., Xu, Z. et al. Global effects of progress towards Sustainable Development Goals on subjective well-being. Nat Sustain 7, 360–367 (2024)

Objective:

• Explore how different factors affect SWB along the global sustainable development gradient

Case:

• Global countries

Methodology:

• SWB: World Happliness Reports
• SDG evenness: Mean SDG index score (MIS) gradient
  • Radar chart method: $Even = S_i / (\pi (\frac{L_i}{2\pi}^2))*100$
  • $S_i = \sum_j S_j = \sum_j \pi f_j r_j^2$
  • $L_i = \sum_j L_j = 2 |r_{max}-r_{min} | + \sum_j 2\pi f_j r_j$
• Moving window method
• Linear, polynomial (quadratic and cubic) and logrithmic regression
  • the lowest AIC

Data Source: Open

• SDG index score: sustainable development report
• SWB: world happiness report
• GDP: IMF

Findings:

• SWB evenness is relatively laggard dimension in fulfilling the SDGs
• SDG evenness and per capita GDP are positively related with global SW

• SDG evenness showed positive relationship with SWB only in countries with low MIS
• Per capita GDP is higher in countries with high MIS

• Per capita GDP exhibited an increasing positive partial correlation with SWB, from weak to strong along with increasing MIS

Coding Reference:

• SPSS