关键词: 林业产业结构, 有序度, 目标产业结构, 马尔科夫二次规划模型, 优化策略

Abstract:

In this study, a quadratic programming model was used to obtain Markov transition matrix of the forestry industry structure, which was applied to predict the forestry target industrial structure of Heilongjiang province from 2012 to 2020. The calculated results of 2012, 2015 and 2020 were chosen as the reference standard, the development order degree of forestry industrial structure of Heilongjiang province from 1998 to 2011 was calculated, and the adjustment degree of forestry industrial structure of Heilongjiang province was quantitatively studied. The results showed that the forestry industry structure of Heilongjiang province was in process of dynamic optimization, especially in 2006-2011. The order degree values were successively among 0.97-0.98, 0.92-0.93 and 0.89-0.90,indicating that the adjustment degree of forestry industrial structure in Heilongjiang province in recent years was well, but the forestry industry still needs to be further adjusted. Based on the results and the actual situation of Heilongjiang forestry industry, the strategies to optimize the forestry industrial structure are put forward.

Key words: forestry industry structure, order degree, target industrial structure, Markov quadratic programming model, optimization strategies