Proceedings of the 2017 International Conference on Humanities Science, Management and Education Technology (HSMET 2017)

Early-Warning for Environment-Economy Development Based on Boom Analysis in Dalian, China

Authors
Shasha Yang, Ling Xu, He Wang
Corresponding Author
Shasha Yang
Available Online February 2017.
DOI
10.2991/hsmet-17.2017.26How to use a DOI?
Keywords
environment-economy, early-warning system, boom analysis, Dalian.
Abstract

Environment-Economy development is a priority in China and it is supported by national policy. However, the study about measuring and warning regional development status of environment-economy is limited. In order to identify the impact of socio-economic development on the environment, we build an early-warning system to assess the current status of environment-economy development and predicate the future trend of this composite system. Our results show that the development status of environment-economy changed from boom decline to stable between 2005 and 2014, the overall status are in good condition, and the predicted results in next decade are in a stable state, but still need to guard against some indicators overheating.

Copyright
© 2017, 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 2017 International Conference on Humanities Science, Management and Education Technology (HSMET 2017)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
February 2017
ISBN
10.2991/hsmet-17.2017.26
ISSN
2352-5398
DOI
10.2991/hsmet-17.2017.26How to use a DOI?
Copyright
© 2017, 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  - Shasha Yang
AU  - Ling Xu
AU  - He Wang
PY  - 2017/02
DA  - 2017/02
TI  - Early-Warning for Environment-Economy Development Based on Boom Analysis in Dalian, China
BT  - Proceedings of the 2017 International Conference on Humanities Science, Management and Education Technology (HSMET 2017)
PB  - Atlantis Press
SP  - 127
EP  - 132
SN  - 2352-5398
UR  - https://doi.org/10.2991/hsmet-17.2017.26
DO  - 10.2991/hsmet-17.2017.26
ID  - Yang2017/02
ER  -