Grey Prediction Analysis on Forestry Industrial Structure of China
| dc.creator | Weng, Gui-tao | |
| dc.creator | Hu, Sheng | |
| dc.creator | Wen, Ya-li | |
| dc.date | 2017-04-01T19:53:42Z | |
| dc.date.accessioned | 2026-07-09T05:38:09Z | |
| dc.description | The grey relevance analysis is applied to study the 1996-2009 output value structure of china forestry system. Based on GM(1,1) model, information model is established to predict the forestry industrial structure of China in the next 10 years. Result shows that grey correlations between the three forestry industries and the forestry output value are 0.849 1, 0.731 1 and 0.821 3, respectively, with its order being secondary industry＜tertiary industry＜primary industry. Prediction result shows that forestry industry of China is in the middle stage of industrialization; and both secondary and tertiary industries will develop rapidly and become the leading industries. | |
| dc.identifier | doi:10.22004/ag.econ.108401 | |
| dc.identifier | https://ageconsearch.umn.edu/record/108401/files/2011-1-h.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/108401 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/566325 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/108401 | |
| dc.title | Grey Prediction Analysis on Forestry Industrial Structure of China | |
| dc.type | Text |