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Exploring the spatial association characteristics of carbon emission efficiency in China’s construction industry: A network perspective
Energy and Buildings ( IF 6.6 ) Pub Date : 2025-01-11 , DOI: 10.1016/j.enbuild.2025.115289
Fangliang Wang, Qi Zhang

As the main carbon dioxide contributor, the effectiveness of carbon emission reduction in China’s construction industry (CI) plays an important role in achieving global carbon emission reduction goals. However, inter-regional correlation poses a great challenge to reduce the carbon dioxide in the CI. Capturing the spatial association characteristics of carbon emission efficiency (CEE) can help to achieve synergistic carbon reduction in the CI. This study measured the CEE of CI in 30 Chinese provinces from 2004 to 2021 using the global data envelopment analysis cross-efficiency model. Then, the spatial association network (SAN) of CEE was established using the improved gravity model, and the structural characteristics and formation mechanisms of the SAN were explored. The main findings include: (i) The CEE of CI grew from 0.103 in 2004 to 0.391 in 2021, with significant inter-provincial differences; (ii) The spatial association structure of CEE in China’s CI showed enhanced compactness and weakened hierarchical structure due to an increase in network density from 0.213 to 0.225 and a decrease in network hierarchy from 0.436 to 0.343. Shanghai with the highest degree centrality (0.038) and Guangdong with the highest betweenness centrality (0.209) played important roles in the SAN; (iii) The association patterns of CEE in China’s CI were dominated by the broker type structure (Z-Score < 0), while there were few club structures with high correlation (Z-Score > 0); (iv) Reciprocity structure, agglomeration structure, economic development level, industry development level, openness degree, and geographic proximity had a significant positive effect on the SAN. In contrast, circular structure, urbanization level and energy consumption intensity had a negative effect on the formation of SAN. This study provides new insights into the development of synergistic carbon reduction measures.
更新日期:2025-01-11
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