Determining Macroeconomic Factor of Trade Policy: An Empirical Analysis of South Asia
- https://doi.org/10.2991/icfied-19.2019.53How to use a DOI?
- China, FDI, Trade openness, Random effect, Hausman
Trade policy debate surrounds within three major uncommon issues. One of them has investigated “whether export-oriented or import-substitutes policies lead to higher-level of economic growth”. The mainstream of research is to contribute in the field of international trade by analyzing the influence of potential variable. We measured the variable in favor of China’s growth with Hausman model which detects endogenous regressor and gives a more precise choice of accuracy in model selection. Pooled OLS regression model, the fixed effect of LSDV and random effect have been applied to see the relationship. The research output presents evidence of trade and exchange rate is positively correlated with economic growth. However, the existence of some neglected trade barriers in South Asian region which may cause to discourage trade openness and unwelcomed to FDI. The output tends to recommend potential feedback to liberalize trade and positively stress on FDI between neighboring countries that have high economic prospects.
- © 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 - Peizhi Wang PY - 2019/02 DA - 2019/02 TI - Determining Macroeconomic Factor of Trade Policy: An Empirical Analysis of South Asia BT - Proceedings of the 2019 4th International Conference on Financial Innovation and Economic Development (ICFIED 2019) PB - Atlantis Press SP - 278 EP - 281 SN - 2352-5428 UR - https://doi.org/10.2991/icfied-19.2019.53 DO - https://doi.org/10.2991/icfied-19.2019.53 ID - Wang2019/02 ER -