Prior goal setting of SDGs based on the interaction correlation

Frontiers in Sustainability

Sustainability

Rende Li¹  Dian Yu²  Shu Wu²  Zixiang Meng²  Boda Xu²  Mingxi Zhao² 

[1] Library, University of Shanghai for Science and Technology, Shanghai, China;Sino-German College, University of Shanghai for Science and Technology, Shanghai, China;

关键词: SDGs;    Spearman;    VAR;    sustainable development;    trade-off effect;    synergy effect;   

DOI  :  10.3389/frsus.2023.1214615

 received in 2023-05-15, accepted in 2023-08-25,  发布年份 2023

来源: Frontiers

【 摘 要 】

For 2030, the Agenda for Sustainable Development sets out 17 goals for sustaining ecological and social growth, known as the Sustainable Development Goals (SDGs), which have mobilized countries around the world to integrate these goals into their national development strategies. However, the Agenda does not explain how these goals are interlinked, which limits their implementation. This paper therefore selects indicator data for 17 SDGs from the World Bank website for four groups of countries to estimate the network structure of the SDGs and the synergies and trade-offs between them, based on the Spearman coefficient. Based on this, the paper further uses a VAR model to identify priority targets among the SDGs and to predict the impact of achieving these targets 2 years earlier on other SDGs. It is found that the SDGs interact with each other in different historical periods, showing both synergies and trade-offs. And as the highest priority goal, the predictions in this paper suggest that SDG 6 has a strong positive impact on SDG 4 and SDG 8. This paper can help policy makers to allocate resources more effectively, maximize benefits, coordinate actions, adapt to future challenges and achieve global sustainable development goals.

【 授权许可】

Unknown   
Copyright © 2023 Zhao, Meng, Xu, Yu, Wu and Li.