Differential analysis of urban panel design, manufacturing, and automation
Wendong Cai
Hainan Vocational University of Science and Technology
DOI: https://doi.org/10.59429/esta.v12i3.11344
Keywords: regional development disparities; digital finance; TOPSIS-entropy weight method; PCA; panel fixed effects; mechanical design "manufacturing" and automation; BIM-MES-SCADA; prefabricated construction
Abstract
To enhance the paper's integrity and emphasize an engineering perspective, this study systematically integrates elements of Mechanical Design, Manufacturing, and Automation (MD&A) into the existing framework for regional development disparity research. Based on city-level panel data, we first construct the Urban-Urban Development Disparity Index (UUDI) using the TOPSIS-Entropy Weighting Method for multi-indicator comprehensive measurement, followed by PCA for robustness testing. Second, within a panel fixed-effects framework, we identify the impact of digital finance (DFI) on regional disparities. We incorporate MD&A indicators—including prefabricated construction, BIM-MES-SCADA integration, robot/CNC equipment density, and first-pass yield—to map the transmission chain: "capital accessibility → manufacturing automation investment → engineering supply efficiency/quality → urban performance → gap convergence."Findings reveal that digital finance exhibits significant overall equilibrium effects, particularly pronounced in cities with higher automation foundations. Mechanistically, equipment renewal financing and data integration enhance component manufacturing and assembly efficiency while reducing rework rates, thereby improving public works supply and residential accessibility, ultimately promoting coordinated regional development. This study provides a unified metric and engineering implementation framework for subsequent causal identification and policy simulation.
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