Spatial-Temporal Analysis of Carbon Emissions in China Construction Industry
Based on the requirements of China's construction industry to achieve decarbonization and emission reduction under the"double carbon"target,the STIRPAT model is used to establish a spatio-temporal geographically weighted regression model.From the perspective of spatio-temporal heterogeneity,the spatio-temporal interaction and influence differences of technological innovation,ownership structure and other variables in the construction industry of 30 provinces and cities in China on carbon emissions in the construction industry are investigated.The study found that the inhibitory effect of technological innovation on the carbon emissions of the construction industry in 30 provinces and cities in China from 2011 to 2021 showed a fluctuating trend of decreasing first and then increasing,and the trend shifted from the three northeastern provinces to the Yangtze River Delta.The impact of the ownership structure dominated by state ownership on the carbon emissions of the construction industry in most provinces has gradually shifted from inhibition to promotion.However,the influence coefficient of state-owned construction enterprises on carbon emissions in Xinjiang is decreasing year by year,and the growth rate of carbon emissions in the construction industry has been effectively controlled.The research results can provide a theoretical basis for relevant departments to strengthen technological innovation exchanges in the construction industry and adjust and optimize the ownership structure according to local conditions.
NETL
NSTL
万方数据
