Analysis of Relation Between Indicators in the Sustainable Development Goals in Indonesia Using Higher-Order PLS-PM
DOI:
https://doi.org/10.22452/mjs.vol45sp2.12Keywords:
SDGs, Higher-Order PLS-PM, indicator analysis, disaggregated dataAbstract
The world has been placing greater emphasis on the Sustainable Development Goals (SDGs) over the last decade, including in Indonesia. The SDGs represent a global commitment to enhancing community welfare and are structured around four dimensions: social, economic, environmental, and law and governance. The SDGs include 17 goals and some indicators for their measurement. Indonesia has achieved 62% of the 138 indicators targeted in 2022. The purpose of this research is to model the relationships among the dimensions, goals, and indicators of the SDGs, enabling an analysis of the main factors influencing sustainable development in Indonesia. Higher-Order Partial Least Square Path Modelling (PLS-PM) was used in this research to map the relationship between each dimension, goal, and indicator. The indicators were derived from the annual SDG report as the data from 34 provinces in 2023. The results of the 298 indicators are reduced to 75 indicators that exist its data on provincial level. Goal 3 “Good Health and Well-Being” is giving the most influence in social dimension of SDGs, while for the economic dimension and environment dimension are Goal 8 “Decent Work and Economic Growth” and Goal 13 “Climate Action”. The validation of the model shows that its predictive power is 64.55%, indicating that the constructed model closely fits the data. The findings of this study may be the consideration for policymakers in planning sustainable development in Indonesia to achieve the SDGs by 2030.
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