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

Agriculture

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