Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)

Land Comprehensive Value Evaluation Model

Authors
Ti Xiang
Corresponding Author
Ti Xiang
Available Online December 2019.
DOI
10.2991/ssmi-19.2019.22How to use a DOI?
Keywords
environmental degradation, LCVI, contribution ratio, contribution score.
Abstract

Lack of consideration for the cost of environmental degradation,the land value has always been assessed mistakenly. Considering both the economic gains and the environmental degradation cost, our team propose the Land Comprehensive Value Index (LCVI). Then we establish the Land Comprehensive Value Evaluation Model (LCV-EM). Firstly, we categorize the land into agricultural land (AL), industrial land (IL), public service land (PSL), and special land (SL). Then, using linear regression, we propose the contribution ratio and contribution score, and establish the regression equation of LCVI. The contribution ratio is the ratio of GDP generated by a certain type of land to total GDP; The contribution score is used to measure the integrity of the ecological service function of a certain type of land.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
December 2019
ISBN
10.2991/ssmi-19.2019.22
ISSN
2352-5398
DOI
10.2991/ssmi-19.2019.22How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ti Xiang
PY  - 2019/12
DA  - 2019/12
TI  - Land Comprehensive Value Evaluation Model
BT  - Proceedings of the 2nd International Symposium on Social Science and Management Innovation (SSMI 2019)
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 2352-5398
UR  - https://doi.org/10.2991/ssmi-19.2019.22
DO  - 10.2991/ssmi-19.2019.22
ID  - Xiang2019/12
ER  -