As a vital economic engine of China, the Beijing‒Tianjin‒Hebei (BTH) region faces severe challenges in balancing economic, social, and ecological development. Existing studies often rely on static, single-dimensional assessments, lacking a framework for dynamic prediction and mechanistic analysis of spatiotemporal heterogeneity. To address this gap, this study constructs a multidimensional evaluation framework integrating the Coupling Coordination Degree (CCD) model, Sustainable Development Index (SDI), Vector Autoregression (VAR) forecasting, and Geographically and Temporally Weighted Regression (GTWR). We analyze the spatiotemporal evolution and driving mechanisms of sustainable development in the BTH region from 2000 to 2022 and project trends to 2030. Results show an overall upward trend in sustainable development levels, yet significant spatial imbalances persist, characterized by a “northern ecological advantage vs. southern economic lag” pattern. The Tertiary Industry Value (TIV) and Ecosystem Regulating Service Value (ERV) are core positive drivers, whereas Population Density (PD) and Primary Industry Value (PIV) become constraints over time. By 2030, 15.38% of cities are projected to reach high-level sustainability. This study provides a dynamic collaborative assessment method, overcomes the limitations of traditional static analysis, and offers actionable, spatially differentiated policy insights for ecological compensation, industrial optimization, and cross-regional coordination, with implications for achieving Sustainable Development Goals (SDGs) in similar regions.
Xuedong et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: