Spatial autocorrelation, influencing factors and temporal distribution of the construction and demolition waste disposal industry.

The construction and demolition waste disposal industry plays a vital role in improving the utilisation rate of construction and demolition waste worldwide, however, too little work has been devoted to the industrial economic analysis. To explore the economic pattern and promote the development of the construction and demolition waste disposal industry, the spatial autocorrelation and influencing factors were analysed, and a temporal development process was evaluated. Spatial measurement results show that the spatial autocorrelation of the construction and demolition waste disposal industry is significant at a 1% level. Per capita GDP, annual yield of construction and demolition waste, research and development level, transportation development level, human capital and education level positively affect the construction and demolition waste disposal industry. Conversely marketisation level negatively influences the development of the construction and demolition waste disposal industry. Temporal analysis results reveal that development of the construction and demolition waste disposal industry accelerated significantly in 2016 and increasing by 35.79% because of a policy stimulus. Suggestions on regional management plans and targeted policies for special cities were proposed. A novel perspective for investigating the C&D waste disposal industry was developed, which may be very helpful for researchers from other countries to study the agglomeration effect in various waste disposal industries. The findings can contribute to the development plan of the C&D waste disposal industry, and be of value to investors to make investment and site planning.

Simulation analysis of implementation effects of construction and demolition waste disposal policies.

Urban development generates large amounts of construction and demolition waste, and the enactment of various policies is an important way to increase resource efficiency. It is urgent to analyse the choices and effects of construction and demolition waste disposal policies around the world. This study analyses and compares the implementation effects of various construction and demolition waste disposal policies and provides suggestions on the selection and formulation of different disposal method policies. A BP neural network and an agent-based model are used to construct a simulation model for the implementation effects of construction and demolition waste disposal policies. The average acceptance willingness is analysed for the three disposal methods of reduction, reuse and recycling under the different policies based on questionnaire survey data. Simulation results show that the implementation effect of the incentive policy as a single policy is superior, and the comprehensive implementation effect of the guidance-incentive-mandatory policy as a combined policy is superior. The implementation effect of combined policies is better than that of single policies. The policies suitable for different disposal methods are inconsistent. Information interaction can effectively improve the implementation effects of different construction and demolition waste disposal policies, especially for single policies. This study innovatively compares the various construction and demolition waste disposal policies and explain the interaction during their implementation. The findings can help the government formulate policies at different stages of construction and demolition waste management and provide a new approach to policy simulation research.