Inter-regional Input-output Analysis of the Three Provinces in Northeast China Based on the MRIO Model
- DOI
- 10.2991/ichssd-17.2018.71How to use a DOI?
- Keywords
- MRIO model; Industrial correlation; Input-output; Northeast China
- Abstract
The present paper analyzes the industrial correlation between the three provinces in Northeast China based on the MRIO model. The analysis result shows that industries in the three provinces in Northeast China increasingly tend to be identical; the traditional manufacturing industry is still the sector of high coefficients of influence while new types of service industry, such as the financial sector, computer service sector and software sector, feature comparatively low coefficients of influence. Meanwhile, the traditional manufacturing industry is more dependent on the economic activities of other industrial sectors. In contrast, some new types of the service industry will not be disturbed by the development of other industries. For this reason, positive measures should be taken primarily to expedite rationalization of the industrial structure; secondarily to reasonably guide the upgrading of the industrial structure; thirdly to persistently develop the competitive industries; finally to proactively cultivate the high and new technology industry. Efforts should also be made to support the industries in strong correlation with priorities in a bid to develop the endogenous power for regional economic growth and guarantee the sustainable and sound development of Northeast China's economy.
- Copyright
- © 2018, 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 - Hai Xie AU - Fu Guo AU - Ping Mei PY - 2017/11 DA - 2017/11 TI - Inter-regional Input-output Analysis of the Three Provinces in Northeast China Based on the MRIO Model BT - Proceedings of the 2nd International Conference on Humanities Science and Society Development (ICHSSD 2017) PB - Atlantis Press SP - 334 EP - 337 SN - 2352-5398 UR - https://doi.org/10.2991/ichssd-17.2018.71 DO - 10.2991/ichssd-17.2018.71 ID - Xie2017/11 ER -