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Study on the State-Owned Forest Resources Management System Based on Forestry Classified Management

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Book cover Soft Computing in Information Communication Technology

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 158))

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Abstract

With the intensifying of forestry economic system reform in our country, the classified management issue on forestry resources management appears to be an ongoing issue. On the basis of focusing on the state-owned forestry resources management system reform based on classified management and carding the state-owned forestry resources management system, the thesis analyzes the theories on subject, object, route P of resources value realization, fund resources and management system of state-owned forest resources management, and gives a reference on the classified management of state-owned forest resources.

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References

  1. Wang, F.: Study on Eco-forest Planting in Forestry Classified Management in China. State Academy of Forestry Administration Journal (1), 10–15 (2007)

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  2. Li, G.: Study on Forestry Classified Management Mode in China. Heilongjiang Science and Technology Information (5), 76 (2007)

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  3. Zhan, C., Zhong, S.: Exploring for Ecological Forest Management Model. Jiangxi Forestry Science and Technology (1), 10–12 (2002)

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Author information

Authors and Affiliations

  1. College of Economics and Management, Northeast Forestry University, Harbin, China

    Jie Wang & Yude Geng

  2. Northeast Agricultural University, Harbin, China

    Jie Wang & Kai Pan

Authors
  1. Jie Wang
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  2. Yude Geng
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  3. Kai Pan
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Corresponding author

Correspondence to Jie Wang .

Editor information

Editors and Affiliations

  1. National Kinmen Institute of Technology, University Road, Jinning ownship, Kinmen, Taiwan R.O.C.

    Jia Luo

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wang, J., Geng, Y., Pan, K. (2012). Study on the State-Owned Forest Resources Management System Based on Forestry Classified Management. In: Luo, J. (eds) Soft Computing in Information Communication Technology. Advances in Intelligent and Soft Computing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29148-7_15

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  • DOI: https://doi.org/10.1007/978-3-642-29148-7_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29147-0

  • Online ISBN: 978-3-642-29148-7

  • eBook Packages: EngineeringEngineering (R0)

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