The Industrial Decision Analysis of Regional Coordinated Development Considering Information Distribution and Fairness Preference

Abstract

Regional industry synergistic planning contributes to the achievement of Goal 11 of the United Nations’ Sustainable Development Goals. The reasonable layout of regional industries is an important measure for achieving sustainable development through distinguishing between different industries. Taking into account the competitive and cooperative relationships between regional cities, this study created a Stackelberg model considering information distribution and fairness preferences. It analyzed the industrial selection strategies and influencing factors under the requirements of output maximization and profit maximization between regions. The model discussions and numerical simulation results showed that regional industrial planning and adjustment should consider both internal and external behavioral factors. The impact of information distribution and fairness preferences on the selection of heterogeneous and homogeneous industries varies. Differentiated industrial selection should be conducted based on output maximization or profit maximization. Furthermore, following cities should take the initiative to integrate into the industrial development plans of nearby large cities, and leading cities should effectively layout and optimize regional productivity. Both industrial planning and choice require the establishment of regional coordination mechanisms. By enhancing the level of mutual trust and reciprocity among cities, reducing information asymmetry, and guiding fairness preferences, regional industrial synergy is promoted, and conditions are created for sustainable industrial development.