Unveiling the synergistic emission reduction effects of regional twin transitions on the construction industry from a spatial correlation network perspective

Purpose Regional digital and green (twin) transitions are widely regarded as key pathways for promoting the green and low-carbon transition and sustainable development of the construction industry. To fully reveal the mechanisms through which the interaction between different regional digitalization (RD) and green innovation (GI) affects carbon intensity in the construction industry (CICI) at the inter-regional level network, it is essential to explore the carbon reduction effects of the spatial correlation network (RDGIS) formed by their coupling coordination. Design/methodology/approach The study utilized panel data from 30 provincial-level regions in China from 2011 to 2021. Coupling coordination models, a modified gravity model, social network analysis and econometric models were employed to thoroughly investigate the impact of the spatial correlation network on carbon emission reduction in the construction industry. Findings The results show that CICI decreases with the development of RD, GI and their coupling coordination, indicating a synergistic effect despite spatial heterogeneity. This finding is confirmed by the spatial correlation characteristics of RDGIS. Regions with high centrality in RDGIS reduce CICI in other areas through “network spillover effects” and lower energy intensity. However, entrenched carbon emission path dependencies cause “structural asymmetry,” delaying the industry’s integration into regional twin transitions and hindering carbon reduction efforts. Originality/value This study reveals the synergistic effects of cross-regional digitalization and green innovation on carbon reduction in the construction industry, broadening the research perspective and enhancing the adaptability of cross-regional carbon reduction policies.