Application of Grey Dynamic Programming Model for Optimizing Regional Industrial Structure

Abstract

Grey dynamic programming model of grey prediction type is employed to optimize regional industrial structure under the corresponding resource constraints. GM(1,1) model is used to whiten the grey consumption matrix and grey constraints vector for resource in the grey dynamic programming model. On this basis, this paper makes a multi-faceted quantitative research on the industrial structure optimization for M city, China. The results show that the proportion of the tertiary industry is showing an obvious rising trend while the primary industry is declining, the secondary industry shows a slight drop on the basis of relative stability.