Proceedings of the 2019 5th International Conference on Education Reform and Modern Management (ERMM 2019)

Analysis of Willingness and Influences for Preventive Resettlement in China-------The Three Gorges Reservoir Case

Authors
Zijiang Hu, Guoqing Shi
Corresponding Author
Guoqing Shi
Available Online November 2019.
DOI
10.2991/ermm-19.2019.38How to use a DOI?
Keywords
Preventive Resettlement, Willingness and Influences, Logistic Regression Model
Abstract

In this paper, the formation mechanism of population migration dynamics is analyzed based on the “Push-pull Theory”. Combining with the case study of preventive resettlement in the Three Gorges Reservoir Area, the influencing variables of migration intention are determined. The logistic regression model was used to analyze the migration intention, and the important influencing factors were obtained from the positive and negative correlative factors. The conclusion of the analysis has great significance for improving the effectiveness of the implementation of disaster-avoidance migrants.

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 2019 5th International Conference on Education Reform and Modern Management (ERMM 2019)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
November 2019
ISBN
978-94-6252-825-3
ISSN
2352-5398
DOI
10.2991/ermm-19.2019.38How 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  - Zijiang Hu
AU  - Guoqing Shi
PY  - 2019/11
DA  - 2019/11
TI  - Analysis of Willingness and Influences for Preventive Resettlement in China-------The Three Gorges Reservoir Case
BT  - Proceedings of the 2019 5th International Conference on Education Reform and Modern Management (ERMM 2019)
PB  - Atlantis Press
SP  - 193
EP  - 200
SN  - 2352-5398
UR  - https://doi.org/10.2991/ermm-19.2019.38
DO  - 10.2991/ermm-19.2019.38
ID  - Hu2019/11
ER  -