Optimizing the Regional Industrial Structure Based on the Environmental Carrying Capacity: An Inexact Fuzzy Multi-Objective Programming Model

Abstract

An inexact fuzzy multi-objective programming model (IFMOP) based on the environmental carrying capacity is provided for industrial structure optimization problems. In the IFMOP model, both fuzzy linear programming (FLP) and inexact linear programming (ILP) methods are introduced into a multi-objective programming framework. It allows uncertainties to be directly communicated into the problem solving processing, and it can effectively reflect the complexity and uncertainty of an industrial system without impractical simplification. The two objective functions utilized in the optimization study are the maximum total output value and population size, and the constraints include water environmental capacity, water resource supply, atmospheric environmental capacity and energy supply. The model is subsequently employed in a realistic case for industrial development in the Tongzhou district, Beijing, China. The results demonstrate that the model can help to analyze whether the environmental carrying capacity of Tongzhou can meet the needs of the social economic objectives in the new town plan in the two scenarios and can assist decision makers in generating stable and balanced industrial structure patterns with consideration of the resources, energy and environmental constraints to meet the maximum social economic efficiency.

Study on Urbanization Level, Urban Primacy and Industrial Water Utilization Efficiency in the Yangtze River Economic Belt

“…Specifically, industrial structural upgrading had a significant positive effect, while eliminating the industrial enterprises of high water consumption and wastewater discharge. Then, the high-tech and green industries would gradually occupy a dominant position in this process [66,67]. The economic development level also had a significant positive effect, which was consistent with the theory of environmental Kuznets curve.…”

How to assess urban development potential in mountain areas? An approach of ecological carrying capacity in the view of coupled human and natural systems

“…The second one is the index system method which reifies ecosystem information based on several theoretical frameworks such as "pressure-state-response" (PSR) (Wei et al, 2014;Zheng et al, 2015), "pressure-state-impact-response" (PSIR) (Lockie et al, 2005), and "driving force-pressure-state-impact-response" (DPSIR) (de Jonge et al, 2012). The third one is the system model method that uses models to simulate and reflect the current situation and possible changes of the ecosystem's carrying capacity, such as system dynamics (SD) , multi-objective programming model (MOP) (Wang and Zeng, 2013), and artificial neutral network (ANN) .…”

Application of an evaluation method of resource and environment carrying capacity in the adjustment of industrial structure in Tibet

“…In many studies, the comprehensive indices are the carrying status rather than the potential carrying capacities. As far as the techniques are concerned, methods such as System Dynamics (SD) (Wang et al, 2014), Multi-Objective Programming model (MOP) (Wang and Zeng, 2013), and Artificial Neutral Network (ANN) (Wang et al, 2014) are used in the studies.…”