Carbon reduction in commercial building operations: A provincial retrospection in China

Kai Li, Minda Ma, Xiwang Xiang, Wei Feng, Zhili Ma, Weiguang Cai and Xin Ma

Applied Energy, 2022, vol. 306, issue PB, No S0306261921013799

Abstract: The growing energy consumption in commercial building operations has slowed the pace of carbon reduction in the building sector, which has hindered China’s movement towards peaking emissions by 2030 and carbon neutrality by mid-century. Considering the technical, socio-economic, climatic, and behavioral factors, this study evaluates the carbon reduction changes of commercial building operations in China’s 30 provinces during the period 2001–2016. An assessment framework of the reduction intensity, amount, and efficiency has been built by carbon intensity decomposition. It shows that (1) the average provincial carbon intensity of commercial building operations kept rising by 2.88% per year from 2000 to 2016; (2) provinces of northeast and north China, respectively, took the lead in reduction intensity and amount at 17.09 kg of carbon dioxide per square meter and 73.79 megatonnes of carbon dioxide (MtCO2) from 2001 to 2016. Meanwhile, the greatest efficiency of carbon reduction was seen in provinces of southwest China with the highest reductions-emissions ratio being 29.53%; (3) compared to the national level results, the annual carbon reductions based on provincial units hit their peak one year earlier at 167.35 MtCO2 in 2013, although similar emission drivers have been observed. Moreover, effective practices by local governments have been summarized for energy efficiency promotion in commercial building operations. Overall, this study makes a reference for other economies to assess the historical carbon reduction in the building operation, which provides policymakers with insights into balanced and targeted emission reduction strategies towards a low-carbon transition in commercial building sector.

Keywords: Carbon reductions; Carbon intensity; Commercial building operations; Decomposition analysis; ElasticNet regression; Emission reduction strategy (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (27)

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DOI: 10.1016/j.apenergy.2021.118098

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