Abstract:
This study employed ARDL Bounds test regression analysis to explore how accepting sustainability development goal indicators will drive sustainability development goals (SDGs). Specifically, the relationship between SDG indicators and acceptance of SDGs (proxy with GDP PCI annual growth), and Granger causality test on direction among the variables is examined. The results show 86.74% of the SDG indicators explain acceptability of SDGs. The result's negative sign for adjustment coefficient revealed a long-run equilibrium exist among the variables at speed of adjustment of 97.3%. In the long-run, PUBDWS and HCE&NPISH have strong direct association with acceptability of SDGs. EIS have strong inverse relation with acceptability of SDGs. EGS and inflation have weak negative relation with acceptability of SDGs while GGFCE have weak direct association with acceptability of SDGs. In the short-run, HCE&NPISH have weak negative bearing with acceptability of SDGs while EGS have positively insignificant bearing with acceptability of SDGs. Notwithstanding, EIS have a strong direct impact with acceptability of SDGs. Only PUBDWS and EGS have bidirectional Granger causality. There is unidirectional flow from PUBDWS to acceptability of SDGs, HCE&NPISH, and GGFCE. Unidirectional flows from acceptability of SDGs to EGS, and GGFCE. Unidirectional flows from EIS to acceptability of SDGs, EGS, and GGFCE. Unidirectional flows from inflation to PUBDWS, and EGS; and from HCE&NPISH to EGS. In the long run in SSA, PUBDWS, HCE&NPISH and GGFCE should be strengthened for maximizing synergies and minimizing tradeoffs for SDGs. On the other hand, policy on EIS, EGS, and inflation should be reviewed as there is negative synergy and tradeoff is likely huge to SSA region. These suggestions will help to promote sustainable employment generation, build human capital, improve socioeconomic empowerment through technology, and boost EcG acceptable for SDGs.
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