Spatial-Temporal Heterogeneity for Commercial Building Carbon Emissions in China: Based the Dagum Gini Coefficient

There is great potential for carbon emission reduction in commercial buildings. Determining the spatial-temporal heterogeneity of CCBCE (China’s building emissions) crucial developing differentiated emissions mitigation policies. This paper estimated and then adopted a method involving visualization spatial data, Dagum Gini coefficient, kernel density estimation to analyze characteristics regional differences China’s eight economic regions 2006–2019. The results indicate that: (1) displayed general upward trend, increasing from 400.99 million t (tons) 853.23 t. electricity accounted largest share (65.93% 2009). Moreover, Guangdong was only high-emission province 2019 with 77.8 CCBCE. (2) contribution rate different incremental made significant difference, inter-regional (61.81%) were much higher than intra-regional (7.99%). (3) greatest found Southern coastal region (average coefficient up 0.4782). For differences, disparity between Northern Northwest greatest. Further, presented trend increase. study concludes that effective measures should be taken reduce each narrow gap