Background: China is one of the world’s fastest-aging countries. Population aging and social-economic development show close relations. This study aims to illustrate the spatial-temporal distribution and movement of gravity centers of population aging and social-economic factors and thier spatial interaction across the provinces in China. Methods: Factors of elderly population rate (EPR), elderly dependency ratio (EDR), per capita gross regional product (GRP_pc), and urban population rate (UPR) were collected. Distribution patterns were detected by using global spatial autocorrelation, Kernel density estimation, and coefficient of variation. Further, Arc GIS software was used to find the gravity centers and their movement trends yearly from 2002 to 2018. The spatial interaction between the variables was investigated based on bivariate spatial autocorrelation analysis. Results: The results showed a larger variety of global spatial autocorrelation indexed by Moran’s I and stable trends of dispersion degree without obvious convergence in EPR and EDR. Furthermore, the gravity centers of the proportion of EPR and EDR moved northeastward. In contrast, the economic and urbanization factors showed a southwestward movement, which exhibited an reverse trend compared to population aging indicators. Moreover, the movement rates of EPR and EDR (15.12 and 18.75 km/year, respectively) were higher than that of GRP_pc (13.79 km/year) and UPR (6.89 km/year) annually during the study period. Further, the bivariate spatial autocorrelation variation is in line with the movement trends of gravity centers which showed a polarization trend of population aging and social-economic factors that the difference between southwest and northeast directions and exhibited a tendency to expand in China. Conclusions: In sum, our findings revealed the difference in spatio-temporal distribution and variation between population aging and social-economic factors in China. It further indicates that the opposite movements of gravity centers and the change of the BiLISA in space which may result in the increase of the economic burden of the elderly care in northern China. Hence, future development policy should focus on the social-economic growth and distribution of old-aged supporting resources, especially in northern China.

The 2030 Agenda for Sustainable Development provided brand new goals and action targets for human well-being and development, but the COVID-19 pandemic has cast a shadow on the implementation of the Sustainable Development Goals (SDGs). It is therefore essential to provide a reference for making policy adjustments and transformations to promote the realization of SDGs in the post-pandemic era. Based on a literature review of the progress and policies of SDGs across countries worldwide, we find that research on sustainable policies has rapidly increased since the SDGs issued in 2015 with particular focuses on eco-environment, sustainable policies, green economy, sanitation and health, and water sanitation. Most countries are in the process of nationalization, institutionalization, and universalization of the SDGs through incorporating the SDGs into national development frameworks, enabling extensive participation and negotiation mechanisms, and promoting the SDGs’ national publicity. Countries of different economic and institutional backgrounds demonstrate divergent development pathways, priorities, measures, and progress in the implementation of SDGs. Despite significant global progress during the last five years, the North–South divide emerges in the policy action and achievement of SDGs. The least developed countries in sub-Sahara Africa and South Asia appear to be difficult or even unable to implement the SDGs and monitor the progress. In the post-pandemic era, particular attention shall be given to integrating SDGs and achieve synergy among goals, concretizing short-and medium-term priorities toward the SDGs targets for all countries, strengthening multilateralism and global cooperation among countries and continents, providing reliable data and approaches for real-time impact assessment and process monitoring, and promoting an inclusive engagement and integrative implementation with multiple stakeholders and consortiums.