| Although the construction industry is a pillar industry in our national economy, it is still the focus of energy conservation and emission reduction because there are critical issues such as high energy consumption, low energy efficiency and huge carbon emissions. Increasing energy efficiency and reducing carbon emissions in the construction industry is of great significance for the sustainable development of energy, economy and environment. This dissertation calculates the carbon emissions of different provinces and analyzes the present and the future trend of carbon emissions. The carbon dioxide is put into the total factors energy efficiency framework as an undesirable output to make the evaluation more scientific, and further the requirements of the coordinated development of sustainable development of energy, economy and environment are satisfied. It is expected that this research would be useful for fulfilling various targets of energy conservation and emission reduction in different areas. The main findings and originalities of this paper are as follows:(1) At provincial level, a carbon emission measurement model is established by integrating the life-cycle perspective and IPCC carbon emission coefficient method. Based on this, the emission amount of various provinces is calculated and the scales and future trends are also explored. Besides, some convergence analysis and spatial self-correlation analysis of the data are given in this dissertation.(2) Based on the decoupling theory and environment Kuznets curve(EKC)theory, the decoupling model and EKC analytical model are developed. By using the two models, the carbon emission and economy development offluctuation in short term and development trend in the long run are investigated, respectively.(3) According to the features of carbon emission, the logarithmic mean Divisia index(LMDI)factor decomposition model is improved. The influence mechanism is analyzed in five aspects of effects: carbon emission intensity, energy construct, energy intensity, output scale and indirect carbon emission intensity. Also, the grey forecasting model is used to study the trend of the amount and intensity of carbon emission in the construction industry in the next few years.(4) Two different definitions of energy efficiency are given: one excludes the undesirable outputs, and the other comprises the undesirable outputs. Based on the total factors framework, the above two kinds of efficiency are measured by using non-radial and non-oriental SBM models. In addition, the energy efficiency is decomposed into the pure technical efficiency index and scale efficiency index. Furthermore, based on the two kinds of energy efficiency and their decomposition indexes, the distribution character and development trend of the energy efficiency in the whole country are explored.(5) Considering the construction industry energy economic efficiency is more practical than the construction industry energy environmental efficiency, the cluster analysis and convergence analysis are used to study the distribution characters. Furthermore, panel Tobit model is used to further analyze the factors that influencing energy environmental efficiency. Finally, the potential of various areas in terms of energy conservation and carbon reduction is investigated. |