Performance Measurement and Mechanism Diagnosis in Rural Construction: A Dual-Perspective Post-Occupancy Evaluation of China Resources Hope Towns

Addressing the challenge of misalignment between high capital input and operational efficacy in Corporate Social Responsibility (CSR) led rural revitalization often highlighted in relevant studies, this study establishes a dual perspective Post-Occupancy Evaluation (POE) framework that integrates objective efficiency measurement with subjective mechanism diagnosis. Leveraging multi-source official data from 11 China Resources Hope Towns, we apply an entropy-weighted super-efficiency DEA model for holistic assessment, complemented by an in-depth diagnostic of the Jinzhai project. The results indicate that operational performance is not a linear function of investment scale but exhibits significant heterogeneity. The analysis delineates distinct inefficiency typologies: the “Scale Restricted” type, characterized by effective management constrained by insufficient functional agglomeration, and the “Management-Constrained” type, marked by challenges in converting physical assets into economic vitality. Notably, the Jinzhai case exposes a critical “Delivery Utility Divergence,” where high technical efficiency coexists with moderate resident satisfaction revealed by survey data, highlighting structural gaps in service accessibility. Consequently, this research proposes a “Diagnose-Feedback-Optimization” closed-loop governance framework. It advocates a paradigm shift from uniform construction delivery to differentiated operational strategies, specifically structured expansion, asset activation, and service patching, to effectively align facility supply with resident needs throughout the full lifecycle.