Industrial restructuring and optimization for sustainable development of resource cities based on dynamic simulation perspective

Abstract

Resource cities are highly dependent on resource industries and have a single industrial structure, so how to adjust and optimize the industrial structure is of practical significance to the sustainable development of resource cities. This paper combines the principle of data envelopment analysis (DEA) and the principle of industrial layout optimization to evaluate and position the current situation of industrial structure in resource cities. Based on this study, the simulation dynamic simulation of the path optimization of sustainable industrial development is conducted through the study of the dynamics principle, and the realism and validity of the model are tested by combining it with the actual data to realize the prediction of sustainable industrial path development. The results show that: In the simulation dynamic simulation prediction, the scale of the resource industry in resource cities decreases by about 6%-8% in 2020, and its simulation prediction data and real data have high consistency, which verifies the effectiveness of industrial structure adjustment and optimization strategy. This paper studies the optimization and upgrading of industrial structure to promote the sustainable development of a resource-based city economy, narrow the gap between the economic development of east and west regions, promote urbanization, and improve inter- and intra-regional development imbalance.