Modelling Analysis of Forestry Input-Output Elasticity in China
Joint Authors
Chen, Jiancheng
Wang, Guofeng
Deng, Xiangzheng
Source
International Journal of Forestry Research
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-18
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Based on an extended economic model and space econometrics, this essay analyzed the spatial distributions and interdependent relationships of the production of forestry in China; also the input-output elasticity of forestry production were calculated.
Results figure out there exists significant spatial correlation in forestry production in China.
Spatial distribution is mainly manifested as spatial agglomeration.
The output elasticity of labor force is equal to 0.6649, and that of capital is equal to 0.8412.
The contribution of land is significantly negative.
Labor and capital are the main determinants for the province-level forestry production in China.
Thus, research on the province-level forestry production should not ignore the spatial effect.
The policy-making process should take into consideration the effects between provinces on the production of forestry.
This study provides some scientific technical support for forestry production.
American Psychological Association (APA)
Wang, Guofeng& Chen, Jiancheng& Deng, Xiangzheng. 2016. Modelling Analysis of Forestry Input-Output Elasticity in China. International Journal of Forestry Research،Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106104
Modern Language Association (MLA)
Wang, Guofeng…[et al.]. Modelling Analysis of Forestry Input-Output Elasticity in China. International Journal of Forestry Research No. 2016 (2016), pp.1-6.
https://search.emarefa.net/detail/BIM-1106104
American Medical Association (AMA)
Wang, Guofeng& Chen, Jiancheng& Deng, Xiangzheng. Modelling Analysis of Forestry Input-Output Elasticity in China. International Journal of Forestry Research. 2016. Vol. 2016, no. 2016, pp.1-6.
https://search.emarefa.net/detail/BIM-1106104
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1106104