scholarly journals International trade and economic growth in Africa: The role of the digital economy

2021 ◽  
Vol 9 (1) ◽  
pp. 1911767
Author(s):  
Simon Abendin ◽  
Pingfang Duan
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Malin Song ◽  
Chenbin Zheng ◽  
Jiangquan Wang

PurposeThe COVID-19 pandemic is still raging, which calls for an exploration of how to prevent and control pandemics to promote sustainable development. The purpose of this paper is to examine the role of the digital economy in sustainable development, the relationship between the two, the impacts of the outbreak on economic and social development, and changes in China's digital economy.Design/methodology/approachThe study used the time-series data from 2002 to 2019 and an unconstrained VAR model to examine the relationship between the digital economy and sustainable development before the pandemic.FindingsChina's digital economy has promoted the country's sustainable economic and social development; it has advanced rapid economic growth, improved people's living standards, increased efficient utilization of resources, and strengthened environmental protection.Research limitations/implicationsAmid the pandemic, China's digital economy developed effectively; it showed strong resilience because of its unique advantages. The digital economy in China has helped the country to control the pandemic in a short period, reduced the risk of supply chain disruption, promoted China's economic growth, and ensured the orderly operation of society. Therefore, countries worldwide are encouraged to prioritize their digital economies.Originality/valueCompared with the extant literature, this study explores the sustainable supply chain in a broader sense in the context of a pandemic, and how the supply chain is influenced by the digital economy. It not only includes the stability, resilience, and viability of the supply chain in economic development but also involves aspects of people's life, resource utilization, and environmental protection.


2021 ◽  
pp. 1-17
Author(s):  
Ally A. L. Kilindo

Abstract The study investigated the role of international trade in economic performance in Tanzania for the post reform period, from 1980 to 2018. International trade is measured by disaggregated imports and exports while economic performance is measured by GDP growth. Exports are disaggregated into manufactured goods and non-manufactured goods while imports are disaggregated into capital goods and intermediate goods. To obtain robust non-spurious regression results, Dickey-Fuller (D-F) and Phillips-Peron (PP) Unit Root tests were performed. Johansen Co-integration tests were employed to investigate long-run relationships between export, imports and economic growth. The Johansen test suggested a long-run relationship between international trade and its components and economic development. In addition, the Error Correction Model (ECM) results further supported a long-run relationship between international trade and economic growth in Tanzania. This calls for further opening of the economy and further liberalisation of trade restrictions.


2019 ◽  
Vol 10 (5) ◽  
pp. 9
Author(s):  
Asmawi Hashim ◽  
Norimah Rambeli ◽  
Norasibah Abdul Jalil ◽  
Normala Zulkifli ◽  
Emilda Hashim ◽  
...  

This paper examines empirically the nature of the impact of the exchange rate on import, export and economic growth in Malaysia from 2009 until 2018. The objective of this study is to investigate the long-term and short-term relationship between endogenous and exogenous variables and also to identify the effects of exchange rates on dependent variables including imports, exports and the Gross Domestic Product (DGP) that represent the productivity of the country. This study further focuses on investigating the impact or the role of export in drive the county economic growth. In achieving these objectives, the Augmented Dickey-Fuller (ADF) testing procedure is used to test the presence of unit root. In order to investigate the incidence of long run relationship between the data series, the Johansen Juselius Cointegration Vector is utilized. The Granger Causality in Vector Error Correction Model (VECM) framework is employed to differentiate between short run and long run causal effects in examining the led growth determinants. The result shows that there is causality between exchange rate, import, export and GDP. Moreover, this study shows that exchange rates responded positively to import and export and negatively to GDP. The result further support for export led growth hypothesis in this study. Thus, confirm for the role of export in motivating the economic growth productivity in after World Crisis regime in year 2008. However, Malaysia must not only relay on international trade to generate income for the country. This is because Malaysia is fortunate to have survived the negative effects of the global crisis; the international trade is exposed to exchange rate instability. If Malaysia wants to succeed in international trade, it may be able to focus on food and services trade. As alternative Malaysia may focuses on agriculture sector by improving the research and development and be a champion on food supply for the world.


2010 ◽  
Vol 2 (4) ◽  
pp. 222-246 ◽  
Author(s):  
Antonio Ciccone ◽  
Marek Jarociński

Many factors inhibiting and facilitating economic growth have been suggested. Can agnostics rely on international income data to tell them which matter? We find that agnostic priors lead to conclusions that are sensitive to differences across available income estimates. For example, the PWT 6.2 revision of the 1960–1996 income estimates in the PWT 6.1 leads to substantial changes regarding the role of government, international trade, demography, and geography. We conclude that margins of error in international income estimates appear too large for agnostic growth empirics. (JEL O41, O47)


2021 ◽  
Vol 13 (9) ◽  
pp. 134
Author(s):  
Elham Jafarzadeh ◽  
He Shuquan

The current study investigates the impact of internal conflicts and external conflicts on the overall trade of a country, imports and exports in both developed and emerging markets. The study has used 128 countries for the estimation with data collected from the world bank for the period of 1996 and 2016 using the Hausman test. The results of the random effect showed that internal conflicts and external conflicts have negative impact on the imports and exports of countries in both developing and developed economies. The findings of the current study have several implications for both academicians and practitioners. The study has provided a deep insight in to the role of internal and external conflicts (a commonly emergent issue) for international trade and economic growth in both developing and developed countries. The current study has broadened the scope of literature on international finance and trade by providing a unique empirical examination on the role of conflicts in international trade and economic growth which is rarely been examined in the literature. Moreover, the study has some practical implications for the policymakers and government to make their international relations as such that to avoid internal and external conflicts if they want to increase international trade and economic growth. More specifically in developing countries there is more prevalence of internal and external conflicts which is the route cause of the lower level of international trade and is one of the important cause of lower level of economic growth.


Author(s):  
Wajahat Alia ◽  
Farah Sadiqb ◽  
Tafazal Kumail ◽  
As’ad Aburumman

The present study investigates the role of international tourist arrivals, structural change, consumption of energy, international trade and economic growth on CO2 emissions in Pakistan over a period of 1980-2017. The study employed ARDL model which revealed that there is a strong positive long-run association between CO2 emission and its determinants except for structural changes and trade which have no significant impact on CO2 emissions. Results reveal that tourism activities in Pakistan are environment friendly and it can add to preserve the scenic areas and major visitors spots in the country to attract more visitors to increase the revenue of the country. The study further applied Granger causality test and ratifies unidirectional causality from structural change, international tourist arrivals and consumption of energy towards CO2 except from international trade. Moreover, this study employed DOLS technique to get long-run robust estimates.


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