Evolution Tendency and Elastic Model Analysis of China's Forestry Industrial Structure
-
摘要: 为研究中国林业产业结构演变的趋势和特点,采用灰色预测方法对2012—2030年的林业产值数据进行预测,根据林业3大产业产值在林业总产值中所占的比重将林业产业演变过程分为3个阶段,运用弹性模型分别对这3个阶段的林业产业结构特点进行分析。结果表明,中国林业产业结构由“一、二、三”的结构模式逐渐向“二、一、三”的结构模式演变,到第3阶段演变为“二、三、一”的结构模式;在林业产业结构演变过程中,林业第一、二产业对林业总产值的影响不断增强,并且林业第一产业比第二和第三产业的影响更大,林业第三产业在第2阶段时相对于第1和第3阶段对林业总产值的影响较小。Abstract: In order to study the tendency and characteristics of the evolution of China's forestry industrial structure, the gray prediction method was adopted to forecast the forestry production data between 2012 and 2030, and elastic model was used to analyze the characteristics of forestry industrial structure at the three stages of industrial evolution process, which were classified in accordance with the share of the outputs of three major forestry industries in the gross value of forestry production. Results showed that China's forestry industrial structure has gradually evolved from the structure model of "primary, secondary, tertiary" through the structure model of "secondary, primary, tertiary" at the second stage to the structure model of "secondary, tertiary, primary"mode at the third stage; In the process of forestry industrial structure evolution, the primary and secondary forestry industries have had continuingly increased impacts on the total outputs of forestry industry. Moreover, the primary industry has higher influences than the secondary forestry industry does, while the tertiary forestry industry at the second stage has the least influence on the total outputs of forestry compared to at the first and third stage.
-
Key words:
- forestry industry /
- evolution /
- gray prediction /
- elastic model /
- China
-
表 1 2012-2030年中国林业产值预测
-
[1] 肖敏静, 赵璟.低碳经济视角下江西林业产业结构与林业经济增长的实证研究[J].中国林业经济, 2011(5):32-36. http://www.cnki.com.cn/Article/CJFDTOTAL-YQYL201005013.htm [2] 钟艳, 李湘玲, 史常亮.东北地区林业产业结构变动对林业经济增长的贡献[J].资源开发与市场, 2011, 27(11):1006-1010. doi: 10.3969/j.issn.1005-8141.2011.11.014 [3] 王立磊, 戴芳, 胡慧敏.林业产业结构对其总产值的影响分析[J].林业经济问题, 2010, 30(6):497-503. doi: 10.3969/j.issn.1005-9709.2010.06.007 [4] 谢彦明, 张晶, 张倩倩.云南林业产业结构偏离份额分析[J].西南林业大学学报, 2012, 32(2):75-80. http://d.old.wanfangdata.com.cn/Periodical/xnlxyxb201203016 [5] 许玉粉.基于偏离-份额分析法的吉林省林业产业结构分析[J].延边大学农学学报, 2013, 35(1):82-87. doi: 10.3969/j.issn.1004-7999.2013.01.017 [6] 徐端阳, 杨建州.基于偏离-份额分析法的福建省林业产业结构分析[J].福建农林大学学报:哲学社会科学版, 2013, 16(2):41-44. http://d.old.wanfangdata.com.cn/Periodical/fjnydxxb-shkx201302009 [7] 史常栋, 贾岩.基于SSM的河南省林业产业结构实证分析[J].中国林业经济, 2012(2):17-22. http://d.old.wanfangdata.com.cn/Periodical/zglyqy201201007 [8] 朱曼, 苏喜友.基于GM(1, 1)模型的四川省林业产业结构预测[J].四川农业大学学报, 2013, 31(1):105-110. doi: 10.3969/j.issn.1000-2650.2013.01.020 [9] 张晓梅, 李明圆.基于灰色动态关联分析的黑龙江省林业产业结构研究[J].林业经济问题, 2013, 33(3):193-198. doi: 10.3969/j.issn.1005-9709.2013.03.001 [10] 王桂涛, 胡申, 温亚利.中国林业产业结构灰色预测分析[J].安徽农业科学, 2011, 39(10):6215-6217. doi: 10.3969/j.issn.0517-6611.2011.10.202 [11] 邵砾群, 陈海滨, 刘军弟, 等.基于灰色理论的陕西省林业产业结构分析预测[J].西北林学院学报, 2012, 27(5):289-292. doi: 10.3969/j.issn.1001-7461.2012.05.56 [12] 邓聚龙.灰色控制系统[M].武汉:华中工学院出版社, 1987. -