Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering

Regional Migration Differences and Economic Growth: Panel Data and Evidence in Western Region of China

Authors
Haiying Ma
Corresponding Author
Haiying Ma
Available Online July 2016.
DOI
10.2991/icsnce-16.2016.126How to use a DOI?
Keywords
Regional differences; Economic growth; Rural-urban migration; Gansu
Abstract

Using data from several Chinese censuses, surveys and yearbooks, we provide a new perspective for the study of rural-urban migration, regional differences and economic growth of Gansu in China for 1990 to 2000. We find that economic conditions impact strongly on the growth relationship at provincial levels. Our results demonstrate that rural-urban migration favors growth in the economically stronger provinces, and that the full benefits of migration are realized when competition in local markets is at its strongest. From our results in is clear that polices need to be crafted at the provincial level to maximize the growth benefits of migration.

Copyright
© 2016, 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 2016 International Conference on Sensor Network and Computer Engineering
Series
Advances in Engineering Research
Publication Date
July 2016
ISBN
978-94-6252-217-6
ISSN
2352-5401
DOI
10.2991/icsnce-16.2016.126How to use a DOI?
Copyright
© 2016, 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  - Haiying Ma
PY  - 2016/07
DA  - 2016/07
TI  - Regional Migration Differences and Economic Growth: Panel Data and Evidence in Western Region of China
BT  - Proceedings of the 2016 International Conference on Sensor Network and Computer Engineering
PB  - Atlantis Press
SP  - 651
EP  - 656
SN  - 2352-5401
UR  - https://doi.org/10.2991/icsnce-16.2016.126
DO  - 10.2991/icsnce-16.2016.126
ID  - Ma2016/07
ER  -