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Construction industry has existed the problems of high investment and pollution. As a big country in the construction industry, China has a vast territory and the CO 2  emissions of the construction industry vary greatly among different regions. So which provinces should pay more attention to the CO2 emissions of the construction industry is a question worthy of consideration. Based on the provincial panel data of China from 1997 to 2015, this paper extends the STIRPAT model and empirically analyses the impact of influencing factors in different quantiles by using quantile regression panel model. Research results show that: (1) The effect of population size, economic growth, energy structure and industrial scale on CO 2  of construction industry in different quantiles are positive, while the effect of energy efficiency is negative. (2) The effect of population size on CO 2  emissions in the 50th-75th quantile provinces is greater than those in the other quantile provinces; the impact of economic growth in the 10th-25th quantile provinces is higher than those in the other percentile provinces; the influence of energy structure in the 25th-50th and 50th-75th quantile provinces are stronger than those in the other quantile provinces; the influence intensity of industry scale in the upper 90th quantile provinces is the highest in all the quantile provinces; the effect of energy efficiency in the upper 90th quantile provinces is lower than those in the other percentile provinces. According to these results, we put forward some corresponding policy suggestions.

Which Provinces Should Pay More Attention to CO2 Emissions in China’s Construction Industry?

Which Provinces Should Pay More Attention to CO₂ Emissions in China’s Construction Industry?