Spatial and Temporal Characteristics of Carbon Emissions from Construction Industry in China from 2010 to 2019

Mengru Song, Yanjun Wang (), Cheng Wang, Walter Musakwa and Yiye Ji
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Mengru Song: School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Yanjun Wang: School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China
Cheng Wang: Institute of Aerospace Information Innovation, Chinese Academy of Sciences, Beijing 100864, China
Walter Musakwa: Faculty of Science, University of Johannesburg, Johannesburg 2006, South Africa
Yiye Ji: School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China

Sustainability, 2024, vol. 16, issue 14, 1-25

Abstract: The construction industry has become one of the industries that accounts for a relatively large share of China’s total carbon emissions. Aiming at the problems of monitoring difficulties, diversity of segmentation types, and uncertainty of carbon emission factors, this study calculates the carbon emissions and intensity of the construction industry in each province of China from 2010 to 2019, analyzes its spatial and temporal variability using the Moran index and the slope index, analyzes the driving factors by combining the Kaya equation and the LMDI method, and verifies the zero-error characteristics by using the IPAT model. The results show that from 2010 to 2019, carbon emissions from the construction industry in China’s provincial areas increased in general, with a distribution of “high in the east and low in the west”, and the carbon emission intensity declined in general, but some provinces in the north and the center are still higher. Economic development and the increase in housing construction area are the main reasons for the growth of carbon emissions, while the optimization of energy structure and the adjustment of population density reduce carbon emissions. Moreover, the IPAT model verifies the credibility of the results of the LMDI model. This study provides a reference for monitoring and assessing carbon emissions in China’s construction industry from the perspective of spatio-temporal characterization, helps regional energy conservation and emission reduction and dual-carbon strategy, and it analyzes the provincial carbon emission intensity to reveal the low-carbon development issues.

Keywords: construction-related carbon emissions; spatio-temporal pattern; coefficient of variation; LMDI breakdown; IPAT modeling (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
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