Determining Macroeconomic Factor of Trade Policy: An Empirical Analysis of South Asia

DOI

10.2991/icfied-19.2019.53How to use a DOI?

Keywords

China, FDI, Trade openness, Random effect, Hausman

Abstract

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.

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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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  - 10.2991/icfied-19.2019.53
ID  - Wang2019/02
ER  -