An Equilibrium Analysis on the Relationship between Economic Growth and Urbanization-Based on Statistical Data from 1990 to 2015 in Heilongjiang Province
Fengsheng Li, Junping Zhao, Tianpeng Chen, Huixia Fu
Available Online October 2017.
- https://doi.org/10.2991/icesem-17.2017.67How to use a DOI?
- urbanization; economic growth; Heilongjiang; cointegration test; Granger causality test
- The statistical data about annual real per capita GDP and annual proportion of urbanization from 1990 to 2015 was selected as a sample in order to study the relationship between economic growth and urbanization in Heilongjiang Province. It made an empirical analysis by the Granger causality test, unit root test, cointegration test. It showed that there were a one-way Granger causal relationship and long-term equilibrium relationship between economic growth and urbanization in Heilongjiang Province. The economic growth in Heilongjiang Province can Granger cause the level of urbanization. It has obvious explanatory ability to the level of urbanization. So it should promote the construction of new urbanization, pay attention to the adjustment and optimization of industry structure, expand demand by the urbanization effect, stimulate economic growth and improve the urbanization level in Heilongjiang Province. The benign, coordinated and interactive development between economic growth and urbanization would be realized through the above mentioned measures.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fengsheng Li AU - Junping Zhao AU - Tianpeng Chen AU - Huixia Fu PY - 2017/10 DA - 2017/10 TI - An Equilibrium Analysis on the Relationship between Economic Growth and Urbanization-Based on Statistical Data from 1990 to 2015 in Heilongjiang Province BT - Proceedings of the 2017 International Conference on Education Science and Economic Management (ICESEM 2017) PB - Atlantis Press SP - 307 EP - 310 SN - 2352-5398 UR - https://doi.org/10.2991/icesem-17.2017.67 DO - https://doi.org/10.2991/icesem-17.2017.67 ID - Li2017/10 ER -