Trade openness and economic growth volatility: An empirical investigation

Mireku, Kwame; Agyei, Ellen Animah; Domeher, Daniel

doi:10.1080/23322039.2017.1385438

Cited by 26 publications

(45 citation statements)

References 18 publications

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“…The nexus between trade openness and economic growth has attracted significant interest in the literature. Recent studies have investigated both regional and individual country experiences, incorporating other institutional, social, economic, and technological factors (see Dowrick and Golley, 2004;Yanikkaya, 2003;Awokuse, 2008;Shahbaz, 2012;Menyah et al, 2014;Olubiyi, 2014;Sakyi et al, 2015aSakyi et al, , 2015bYusoff & Nuh, 2015;Ee, 2016;Salahuddin & Gow, 2016;Zahonogo, 2016;Khamphengvong et al, 2017;Mireku et al, 2017;Keho & Grace Wang, 2017;Pradhan et al, 2017;Darku & Yeboah, 2018;IDRIS et al, 2018;Huchet-Bourdon et al, 2018;Benita, 2019;Burange et al, 2019;Ma et al, 2019;Tang et al, 2019;Duodu et al, 2020;Nwadike et al, 2020).…”

Section: A Brief Literature Reviewmentioning

confidence: 99%

Trade openness and economic growth nexus: Exploring the role of institutional quality in Nigeria

Omoke

Opuala–Charles

2021

Cogent Economics & Finance

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Section: A Brief Literature Reviewmentioning

confidence: 99%

Trade openness and economic growth nexus: Exploring the role of institutional quality in Nigeria

Omoke

Opuala–Charles

2021

Cogent Economics & Finance

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“…The estimated result supported by Narayan and Smyth (2010) which employed research by utilized quarterly time series data from 1962 to 2000 in Fiji whereby education have greatest positive effect on GDP in long run relationship. The finding of an insignificant negative relationship between LINF and LGDP had been proved by Mireku, Agyei and Domeher (2017) in Ghana. This shows that when consumer price index (CPI) increase will effect consumption decrease, economic growth will decrease in the long run.…”

Section: Resultsmentioning

confidence: 92%

Impact of Trade Liberalization on Economic Growth in Japan: Autoregressive Distributed Lag Model (ARDL)

Yee¹,

Hwang²,

Liwan³

2021

IJARBSS

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The objective of this study is to identify the impact of trade liberalization on economic growth in Japan. Annual data are utilized from 1985 to 2016 via on Autoregressive Distributed Lag Model (ARDL) Cointegration test and Vector Error Correction Model (VECM) based Granger causality. The findings from unit root tests revealed that all the variables of mixed results whereby they are integrated at I(0) and I(1) and could proceed to the ARDL Cointegration test. Furthermore, all the variables have long-run relationships between trade openness, investment, education, inflation and economic growth in Japan. However, this study found a significant positive of trade openness and investment on economic growth in the long run. Lastly, VECM based Granger causality showed some of the causality relationships between variables in the short run for Japan.

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“…GDP per capita influences international trade flows the most. [5] The quality of a country's economic growth and the improvement of residents' income levels directly affect the scale of international trade. [6] Countries with higher GDP per capita have higher purchasing power and demand for foreign goods.…”

Section: National Gdp Per Capitamentioning

confidence: 99%

Research and Practice of Quantitative Models on The Freedom of Trade Based on AHP-FCE Method: Taking Major Countries in WTO as Examples

et al. 2020

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In recent years, protectionism and unilateralism in the field of international trade are increasing. The WTO-centric multilateral trade regime has been hit. By researching the index of trade freedom among countries in international trade, this paper takes five important countries in WTO as an example, and constructs the trade freedom index and the national trade freedom model. The study reviewed and analysed global and regional developments in cross-border trade and investigated five varialbes that impacted the index of trade freedom. Then the fuzzy comprehensive analysis method (FCE) is used to obtain the comprehensive evaluation matrix by fuzzy arithmetic processing through the evaluation index weight and fuzzy relation matrix. Therefore, the changing data of the index of trade freedom in five countries from 2017 to 2018 are obtained. It is discovered that there is a significant difference in the index of trade freedom among countries. What’s worse, the average of the global index has declined year by year. This phenomenon is caused by the decline of global trade volume and the prevalence of new trade barriers. In the end, this paper proposes the implementation of multilateral negotiations and the establishment of long-term penalties as possible solutions.

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Trade openness and economic growth volatility: An empirical investigation

Cited by 26 publications

References 18 publications

Trade openness and economic growth nexus: Exploring the role of institutional quality in Nigeria

Trade openness and economic growth nexus: Exploring the role of institutional quality in Nigeria

Impact of Trade Liberalization on Economic Growth in Japan: Autoregressive Distributed Lag Model (ARDL)

Research and Practice of Quantitative Models on The Freedom of Trade Based on AHP-FCE Method: Taking Major Countries in WTO as Examples

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