Research on Low-Carbon Economic Reform of Construction Industry Based on Stacking-IGA Modeling

Abstract

Low-carbon economy is an economic development model centered on reducing greenhouse gas emissions, which has become an inevitable trend in China. Low-carbon economic reform of the construction industry is an important part of China's realization of low-carbon economy, and the key lies in integrating and coordinating the relationship between low-carbon development and economic development of the construction industry. In order to achieve this goal, this paper aims to minimize the carbon emission and maximize the gross output value of the construction industry, and constructs the Stacking-IGA model, which includes data-driven, Stacking integrated model and improved genetic algorithm. First, based on the data-driven and Stacking integration model, the planning problem of low-carbon economic development target of the construction industry is defined. Secondly, the improved genetic algorithm is used to solve the problem. Finally, the Pareto frontier surface is used to provide a reference basis for the low-carbon economic reform of the construction industry. The research results show that the model circumvents the dependence of the traditional objective planning model on the assumption of the objective function and the assumption of the background conditions, and is suitable for uncertainty objective planning modeling and solving. The model shows good results in sample expansion, sample equalization, feature redundancy, model accuracy and stability, objective solving efficiency and solving quality. It is difficult to realize the reduction of carbon emission and the increase of total output value in China's construction industry at the same time, and to realize the reform of low-carbon economy in the construction industry, we should start from the production of building materials and promote the new construction technology at the same time.