scholarly journals The Influence of the COVID-19 Pandemic on the Imports and Exports in China, Japan, and South Korea

2021 ◽  
Vol 9 ◽  
Author(s):  
Panpan Wei ◽  
Cheng Jin ◽  
Chen Xu
Keyword(s):  
Time Series ◽  
South Korea ◽  
Industrial Production ◽  
Government Intervention ◽  
Trade Openness ◽  
Government Response ◽  
Trading Partners ◽  
Cross Country ◽  
The Impact ◽  
Trade Partners

In this paper, time-series and cross-country data spanning from January 2020 to December 2020 are adopted to empirically investigate the impact of the COVID-19 pandemic on exports and imports in China, Japan, and South Korea. In the models, industrial production, trade openness, government response (including monetary and fiscal intervention), and the pandemic impact of major trade partners are controlled. In addition, the three countries, China, Japan, and South Korea, are also estimated separately in consideration of the cross-country disparity. The results show that domestic epidemics in China, Japan, and South Korea have a non-significant (statistically significant) effect on imports, but are negatively correlated with exports in Japan; epidemics in major trading partners are negatively correlated with imports in Japan and positively correlated with exports in China and South Korea; and government intervention is positively correlated with imports in China and positively correlated with exports in China, Japan, and South Korea.

scholarly journals Corruption and Government Intervention on Bank Risk-Taking: Cases of Asian Countries

2018 ◽  
Vol 9 (2) ◽  
pp. 228-237
Author(s):  
Rizky Maulana Nurhidayat ◽  
Rofikoh Rokhim
Keyword(s):  
South Korea ◽  
Risk Taking ◽  
Government Intervention ◽  
The Other ◽  
Bank Risk ◽  
Asian Countries ◽  
Dummy Variables ◽  
Macroeconomic Variables ◽  
Using Data ◽  
The Impact

This paper aims to addresses the impact of corruption, anti-corruption commission, and government intervention on bank’s risk-taking using banks in Asian Countries such as  Indonesia, Malaysia, Thailand, and South of Korea during the period 1995-2016. This paper uses corruption variable, bank-specific variables, macroeconomic variables, dummy variables and interaction variable to estimate bank’s risk-taking variable. Using data from 76 banks in Indonesia, Malaysia, Thailand and South Korea over 21 years, this research finds consistent evidence that higher level of corruption and government intervention in crisis-situation will increase the risk-taking behaviour of banks. In the other hand, bank risk-taking behaviour minimized by the existence of anti-corruption commission. In addition, this paper also finds that government intervention amplifies corruption’s effect on bank’s risk-taking behaviour because of strong signs of moral hazard and weaknesses in the governance and supervision.

scholarly journals Monetary Policy and Liquidity of Vietnam’s Stock Market

2016 ◽  
Vol 23 (02) ◽  
pp. 02-21
Author(s):  
Ly Tran Thi Hai
Keyword(s):  
Time Series ◽  
Monetary Policy ◽  
Stock Market ◽  
Money Supply ◽  
Industrial Production ◽  
Market Liquidity ◽  
Var Model ◽  
Market Returns ◽  
Liquidity Measures ◽  
The Impact

This study investigates the impact of monetary policy on liquidity of Vietnam’s stock market from September 2007 to November 2014. Time series of liquidity are determined by monthly liquidity data for 643 enterprises in the surveyed period. Two variables of the monetary policy, including growth in money supply and interbank rate, are employed in VAR model along with four different measures of market liquidity. The results show that unexpected variance in the two monetary policy variables has no significant impact on the market liquidity, which, in turn, may be improved by the positive shocks of market returns, inflation, and growth in industrial production. Market variance does produce certain effects, but discrepancies occur in the signs of various liquidity measures.

scholarly journals Trade Openness and Economic Growth Nexus: A Case Study of BRICS

2018 ◽  
Vol 54 (1) ◽  
pp. 1-15 ◽  
Author(s):  
L. G. Burange ◽  
Rucha R. Ranadive ◽  
Neha N. Karnik
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Causal Relationship ◽  
Trade Openness ◽  
Gdp Per Capita ◽  
Jel Codes ◽  
Per Capita ◽  
The Impact ◽  
Econometric Technique

The article analyses a causal relationship between trade openness and economic growth for the member countries of BRICS by using an econometric technique of time series analysis. Member countries of BRICS adopted a series of liberalization reforms, almost simultaneously, from the late 1980s. The article attempts to study the impact of trade openness on their growth in GDP per capita. It captures structural composition of GDP and openness of trade in four aspects, that is, merchandise exports, merchandise imports, services export and services import. In India, the study found growth-led trade in services hypothesis. The article supports the growth-led export and growth-led import hypothesis for China and export- and import-led growth for South Africa. However, no causal relationship was evident for Brazil and Russia. JEL Codes: F43, C22

scholarly journals ECONOMIC SHOCKS ON PARTNERS’ TRADE; AFRICA AND ASEAN ON CHINA

2021 ◽  
pp. 11-24
Author(s):  
Emmanuel Yamoah Cobbold ◽  
Dan Owusu
Keyword(s):  
Gravity Model ◽  
Bilateral Trade ◽  
Positive Impact ◽  
Trade Openness ◽  
Economic Shocks ◽  
Macroeconomic Shocks ◽  
The World ◽  
Per Capita ◽  
The Impact ◽  
Trade Partners

This research studies the impact of macroeconomic shocks from African and the Association of Southeast Asian Nations (ASEAN) on China’s bilateral trade with them. Data on (GDP) per capita, FDI, inflation, unemployment rates, and trade openness (TO) of China’s African and ASEAN partners were sourced from the World Bank whilst imports and exports data were from the world integrated trade solutions (WITS). It uses the gravity model as a basis and the panel corrected standard errors (PCSE) as well as multivariate regression estimators. The findings reveal that per capita of China’s partners have a strong positive impact on trade with them. Trade openness is reported to increase China’s imports but reduce exports to these partners. Further, an increase in FDI inflows to China’s trade partners leads to an increase in both imports and exports of China. KEYWORDS: Economic shocks, international trade, China, Africa, ASEAN, gravity model

scholarly journals What Drives Inflation-Output Tradeoff Dynamics in Pakistan? An Assessment of International Linkages and Global Trends

2019 ◽  
Vol 24 (1) ◽  
pp. 55-81
Author(s):  
Muhammad Ayyoub ◽  
Julia Wörz
Keyword(s):  
Explanatory Power ◽  
Trade Openness ◽  
Cointegration Analysis ◽  
Vector Autoregressive ◽  
Global Trends ◽  
Macroeconomic Conditions ◽  
Long Run ◽  
Trading Partners ◽  
The Impact ◽  
Domestic Inflation

This article illustrates the dynamics of and tradeoff between inflation and output in Pakistan by utilizing data on 18 major trading partners in a cointegration analysis. In doing so, we use key features of the global vector autoregressive approach to construct a model that captures foreign-specific variables related to Pakistan; these are analyzed empirically along with domestic data for the period 1972–2014. Our findings show that, after accounting for the impact of increasing interdependencies, trade spillovers and changing global macroeconomic conditions, a long-run equilibrium relationship exists between domestic inflation and output. The foreign variables have a significant impact on the key domestic variables. In particular, domestic inflation and trade openness, foreign inflation and world oil prices have significant explanatory power for Pakistani output. Policymakers in Pakistan should therefore account for global developments, specifically in trading partner economies.

IMPACT OF VACCINATION ON THE COVID-19 PANDEMIC: BIBLIOMETRIC ANALYSIS AND CROSS COUNTRY FORECASTING BY FOURIER SERIES

2021 ◽  
Vol 74 (10) ◽  
pp. 2359-2367
Author(s):  
Olha V. Kuzmenko ◽  
Vladyslav A. Smiianov ◽  
Lesia A. Rudenko ◽  
Mariia O. Kashcha ◽  
Tetyana A. Vasilyeva ◽  
...  
Keyword(s):  
Time Series ◽  
Incidence Rate ◽  
United States Of America ◽  
Statistical Data ◽  
Self Organization ◽  
Disease Course ◽  
Cross Country ◽  
Predicted Values ◽  
Cyclic Models ◽  
The Impact

The aim: Is to build a forecast of the COVID-19 disease course, considering the vaccination of the population from particular countries. Materials and methods: Based on the analysis of statistical data, the article deals with the topical issue of the impact made by vaccination on the prevention of the COVID-19 pandemic. The time series, showing the dynamics of changes in the number of infected in Chile, Latvia, Japan, Israel, Australia, Finland, India, United States of America, New Zealand, Czech Republic, Venezuela, Poland, Ukraine, Brazil, Georgia for the period 07.08. 2020–09.09.2021, are analyzed. Trend-cyclic models of time series are obtained using fast Fourier transform. The predicted values of the COVID-19 incidence rate for different countries in the period from September 10, 2021 to February 2, 2022 were calculated using the constructed models. Results and conclusions: The results of the study show that vaccination of the population is one of the most effective methods to prevent the COVID-19 pandemic. The proposed method of modeling the dynamics of the incidence rate based on statistical data can be used to build further predictions of the incidence rate dynamics. The study of behavioral aspects of trust in vaccination is proposed to be conducted within the theory regarding the self-organization of complex systems.

COVID-19 and the Costs of Deadly Disasters

2021 ◽  
Vol 111 ◽  
pp. 366-370
Author(s):  
Sydney C. Ludvigson ◽  
Sai Ma ◽  
Serena Ng
Keyword(s):  
United States ◽  
Time Series ◽  
Labor Market ◽  
Natural Disasters ◽  
Industrial Production ◽  
The United States ◽  
Time Series Models ◽  
Monthly Data ◽  
The Impact

Using monthly data on costly natural disasters affecting the United States over the last 40 years, we estimate 2 time series models and use them to generate predictions about the impact of COVID-19. We find that while our models yield reasonable estimates of the impact on industrial production and the number of scheduled flight departures, they underestimate the unprecedented changes in the labor market.

Impact of Globalisation on India’s exports with special reference to Regional Trade Agreements

2014 ◽  
Vol 1 (2) ◽  
Author(s):  
Niti Bhasin ◽  
Rinku Manocha
Keyword(s):  
Host Country ◽  
Positive Impact ◽  
Trade Openness ◽  
Trade Agreements ◽  
Regional Trade Agreements ◽  
Special Focus ◽  
Partner Country ◽  
Regional Trade ◽  
Trading Partners ◽  
The Impact

Coinciding with the era of globalisation, there has been a rise in the number and depth of Regional Trade Agreements (RTAs) in the Asian region. As India has also been a part of this growing trend, this paper attempt to identify the determinants of India’s exports with special focus on the role of globalisation and RTAs of India. We employ panel data regression on an augmented gravity model to examine the effects of these variables. To capture the globalisation effect, we have included trade openness of the host country. For RTAs, we have taken two variables; one which indicates the presence or absence of an RTA in a given year; and second is the number of RTAs between India and its partner country. Using data for nine countries which are India’s trading partners over the period 1991-2012, we find that GDP and GDP per capita of the host country are significant determinants of India’s exports. Trade openness which is an indicator of globalisation is positive and highly significant indicating that trade openness of the partner country has resulted in increased Indian exports to that country. Of the two variables capturing the impact of RTAs, the variable defining the number of RTAs negotiated with trading partners is positive and significant. The results show that while presence of an RTA may have a positive impact on Indian exports, they are still not a prime consideration. At the same time, the width of integration is having a significant positive impact on India’s export.

scholarly journals The impacts of the exchange rate volatility on colombian trade with its main trade partners

EconoQuantum ◽  
2021 ◽  
Vol 18 (2) ◽  
pp. 57-81
Author(s):  
Mauricio Vaz Lobo Bittencourt ◽  
◽  
Paula Andrea Mosquera Agudelo
Keyword(s):  
Exchange Rate ◽  
Exchange Rate Volatility ◽  
Economic Policies ◽  
Fixed And Random Effects ◽  
Trading Partners ◽  
Likelihood Model ◽  
The Exchange Rate ◽  
Pseudo Maximum Likelihood ◽  
The Impact ◽  
Trade Partners

Objective: To investigate the main impacts of the bilateral exchange rate (er) volatility on Colombian exports for its main trade partners for the period 2001-2019, with the use of control variables in addition to er volatility measure, such as countries’ gdp, distance, and dummy variables for contiguity and common language. Methodology: Pooled ols, Fixed and Random Effects Panel models, and Poisson Pseudo Maximum Likelihood model. Results: The results showed that er volatility is harmful to the commercial relationship between Colombia and its trading partners. An increase of 1 % in the long term exchange rate volatility can reduce Colombian exports by 0.25-0.4%. Results also suggest that past information is particularly relevant in order to assess the impact of exchange rate volatility on trade. As expected, exporter and importer incomes can increase trade, and distance can reduce trade. Limitations: Sectoral data used can be better explored. Originality: For the first time this methodology and data analysis is used to investigate the impact of er volatility on Colombian trade. Conclusions: Results add another empirical evidence to the literature of exchange rate and trade, where economic policies that aim to stabilize the exchange rate are likely to increase the volume of trade for Colombia and its trade partners.

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