| The construction industry is an important industry in China’s economic development,of which the three largest energy consumption are industry,transportation and construction.And the whole process of construction carbon emissions occupy 51.3% of the overall carbon emissions of society,so the energy consumption of the construction industry affects the carbon emissions of social development,and improving energy efficiency in the construction industry can improve the efficiency of building energy use and reduce carbon emissions.2019 New crown pneumonia pandemic-induced economic weakness led to a significant decline in carbon dioxide emissions from the building and construction industry in 2020,but given the lack of real meaningful transformation of the industry transformation,carbon emissions from the construction sector will continue to rise and will contribute to climate warming.Improving energy efficiency in China’s construction sector is important for the country’s energy conservation and environmental improvement.In this paper,30 provinces across the country are used as the research decision unit,and the input-output data of the construction industry from 2016-2020 are used as the basis for the efficiency analysis based on DEA method for the energy input-output indexes of the construction industry.The EBM-DEA-based model is used for static analysis of energy efficiency in the national construction industry,and the DEAMalmquist-based model is used for dynamic efficiency analysis.The proposed innovations of this paper are mainly: firstly,the shortcomings of the traditional DEA model are improved,and the super-EBM-DEA model is constructed for efficiency analysis in order to make the research results more accurate and at the same time more in line with the research characteristics,and the super-DEA-EBM model is able to deal with the case where the input-output variables have both radial and non-radial characteristics,which is more in line with the production reality of energy efficiency utilization in the construction industry.describe the specific causes of inefficiency.Secondly,both static efficiency and dynamic efficiency are used for the analysis of energy efficiency in the construction industry,which increases the dynamics and comprehensiveness of the study and enables a more profound analysis of the root causes affecting efficiency.In order to realize the above study,the research in this paper has the following main parts:First,collecting,combing and studying a large amount of literature as well as the real situation,discovering the shortcomings of the existing research and proposing the necessity of improving the existing research.Secondly,the input-output index system of this paper is proposed,and the SEEBM-DEA model and the DEA-Malmquist model of dynamic research used in this paper are constructed.Finally,the data of 30 provinces in China are used as examples for empirical analysis to find out the reasons affecting the energy efficiency of the construction industry and to propose policy recommendations.Through the above research,it is found that from the cross-sectional data in the five years from 2016 to 2020 and the results calculated by the super-efficient EBM-DEA model,the national comprehensive efficiency average is 0.7755,which is low in efficiency.And it can be seen that there are differences in energy efficiency in the construction industry between provinces: the average comprehensive efficiency of the economically developed provinces on the eastern coast is higher than the national average,and the average comprehensive efficiency of the provinces in the central and western regions and the northeast region is lower than the national average.From the results of the Malmquist index and its decomposition of the technical change index and the comprehensive efficiency index,it can be seen that the increase in the technical change index can promote the change of the effective production frontier,make technological innovation better applied,further affect the industrial structure of the construction industry,and improve the energy efficiency of the construction industry. |