基于马尔科夫二次规划模型的黑龙江省林业产业结构的有序度测算与优化

doi:10.11707/j.1001-7488.20140919

Abstract

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

CLC Number:

S7-93

Lü Jiehua, Zhang Hongrui, Zhang Bin. Order Degree Calculation and Optimization on Forestry Industrial Structure of Heilongjiang Province Based on Markov Quadratic Programming Model[J]. Scientia Silvae Sinicae, 2014, 50(9): 138-144.

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Order Degree Calculation and Optimization on Forestry Industrial Structure of Heilongjiang Province Based on Markov Quadratic Programming Model

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