Seemingly Unrelated Model of Forest Ecological Benefit and its Application

Lei Bi; Chang Sheng Li

doi:10.4028/www.scientific.net/AMM.675-677.1772

Paper Titles

A Study on Construction Path of Shenzhen International Low-Carbon City
p.1750

Assessment about Development Level of Low-Carbon Economy in Resource-Based City
p.1756

Philosophical Connotation of the Development of Low-Carbon Economy
p.1760

Research on Driving Mechanism of Circular Economy Mode of High Energy Consuming Enterprises
p.1766

Study of Comprehensive Performance Evaluation System Based on the Sustainable Development of Modern Enterprise
p.1777

Sustainable Development of Leisure Sports Tourism under the Low-Carbon Economy
p.1781

An Analysis of the Effects of Economic Growth, Industrial Structure and Energy Efficiency on Carbon Emission of Jilin Province
p.1789

Economic Analysis on the Environmental Pollution Control
p.1793

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 675-677Seemingly Unrelated Model of Forest Ecological...

Seemingly Unrelated Model of Forest Ecological Benefit and its Application

Abstract:

Based on a modern statistical model, which is seemingly unrelated model, the paper defines the dependent and the independent variable set of forest ecological benefit, and formulates seemingly unrelated model of forest ecological benefit. Then forest ecological benefits including water reservation, soil fixation, fertility reservation, C0₂ absorption, atmosphere purify, microclimate improvement, wind sand suppression, flood and draught mitigation, forest recreation, animal protection, plant protection and noise elimination of State-owned Forest Region in Heilongjiang Province were calculated.

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Periodical:

Applied Mechanics and Materials (Volumes 675-677)

Pages:

1772-1776

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.675-677.1772

Citation:

Cite this paper

Online since:

October 2014

Authors:

Lei Bi, Chang Sheng Li*

Keywords:

Forest Ecological Benefit, Seemingly Unrelated Model, State-Owned Forest Region

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* - Corresponding Author

References

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