Wei Jiang , Jie Liu , Tengfei Long , Ming Liu , Akiyuki Kawasaki , Zhiguo Pang , Denghua Yan , Yizi Shang , Elhadi Adam , Xiaohui Ding , Shiai Cui
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引用次数: 0
Abstract
Although nighttime light data offer the potential for spatially measuring economic well-being (EWB) to achieve sustainable development goals, empirical validation remains insufficient. Fusion EWB of six representative Chinese counties (Yanshou, Bazhou, Yugan, Yongsheng, Wafangdian, Raoping) was analyzed using household surveys, statistical yearbooks, and entropy weight methodology—approaches that have proven more reliable than equal weight approaches for EWB calculation. The results revealed that (1) significant spatial heterogeneity exists between subjective and objective EWB across townships, demonstrating the necessity of fusion approaches; and (2) strong correlations exist between nighttime light and EWB—objective EWB (R²=0.801, p<0.001) and fusion EWB (R²=0.808, p<0.001)—validating nighttime light as an effective proxy indicator. This study first proposes and validates the fusion EWB concept, addressing the limitations of single-dimensional assessments while establishing the utility of nighttime light for EWB measurement. The methodology provides a scalable framework for spatial EWB simulation and sustainable poverty reduction assessment, offering crucial implications for sustainable urban–rural development planning and SDG monitoring in developing regions.
期刊介绍:
Sustainable Cities and Society (SCS) is an international journal that focuses on fundamental and applied research to promote environmentally sustainable and socially resilient cities. The journal welcomes cross-cutting, multi-disciplinary research in various areas, including:
1. Smart cities and resilient environments;
2. Alternative/clean energy sources, energy distribution, distributed energy generation, and energy demand reduction/management;
3. Monitoring and improving air quality in built environment and cities (e.g., healthy built environment and air quality management);
4. Energy efficient, low/zero carbon, and green buildings/communities;
5. Climate change mitigation and adaptation in urban environments;
6. Green infrastructure and BMPs;
7. Environmental Footprint accounting and management;
8. Urban agriculture and forestry;
9. ICT, smart grid and intelligent infrastructure;
10. Urban design/planning, regulations, legislation, certification, economics, and policy;
11. Social aspects, impacts and resiliency of cities;
12. Behavior monitoring, analysis and change within urban communities;
13. Health monitoring and improvement;
14. Nexus issues related to sustainable cities and societies;
15. Smart city governance;
16. Decision Support Systems for trade-off and uncertainty analysis for improved management of cities and society;
17. Big data, machine learning, and artificial intelligence applications and case studies;
18. Critical infrastructure protection, including security, privacy, forensics, and reliability issues of cyber-physical systems.
19. Water footprint reduction and urban water distribution, harvesting, treatment, reuse and management;
20. Waste reduction and recycling;
21. Wastewater collection, treatment and recycling;
22. Smart, clean and healthy transportation systems and infrastructure;