Impact of European Union and ASEAN Countries on Indiaas Trade Volume Using Gravity Model: A Panel Data Approach

2018 ◽  
Author(s):  
Dr. Shikha Singh ◽  
Dipti Sharma
Keyword(s):  
European Union ◽  
Panel Data ◽  
Gravity Model ◽  
Trade Volume ◽  
Asean Countries

Bayesian estimation of dynamic panel data gravity model

2021 ◽  
Vol 40 (7) ◽  
pp. 607-634
Author(s):  
Moonhee Cho ◽  
Xiaoyong Zheng
Keyword(s):  
Panel Data ◽  
Bayesian Estimation ◽  
Gravity Model ◽  
Dynamic Panel Data ◽  
Dynamic Panel

scholarly journals The Importance of Maritime Transport for Economic Growth in the European Union: A Panel Data Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7961
Author(s):  
Alexandra Fratila (Adam) ◽  
Ioana Andrada Gavril (Moldovan) ◽  
Sorin Cristian Nita ◽  
Andrei Hrebenciuc
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Panel Data Analysis ◽  
Maritime Transport ◽  
The European Union ◽  
Panel Data Regression ◽  
Green Investment ◽  
Port Infrastructure ◽  
The Impact

Maritime transport is one of the main activities of the blue economy, which plays an important role in the EU. In this paper, we aim to assess the impact of maritime transport, related investment, and air pollution on economic growth within 20 countries of the European Union, using eight panel data regression models from 2007 to 2018. Our results confirm that maritime transport, air pollutants (NOx and SO2) from maritime transport, and investment in maritime port infrastructure are indeed positively correlated with economic growth. In other words, an increase of 10% in these factors has generated an associated increase in economic growth rate of around 1.6%, 0.4%, 0.8%, and 0.7% respectively. Alongside the intensity of economic maritime activities, pollution is positively correlated with economic growth, and thus it is recommended that policymakers and other involved stakeholders act to diminish environmental impacts in this sector using green investment in port infrastructure and ecological ships, in accordance with the current European trends and concerns.

scholarly journals Are International Indices Good Predictors of Economic Growth? Panel Data and Cluster Analysis for European Union Countries

2021 ◽  
Vol 13 (11) ◽  
pp. 6003
Author(s):  
Manuel Carlos Nogueira ◽  
Mara Madaleno
Keyword(s):  
Economic Growth ◽  
European Union ◽  
Panel Data ◽  
Human Development ◽  
Empirical Studies ◽  
The European Union ◽  
Global Competitiveness ◽  
Environmental Performance Index ◽  
European Union Countries ◽  
And Cluster Analysis

Every year, news about the publication of rankings and scores of important international indexes are highlighted, with some of the most prestigious being the Global Competitiveness Index (GCI), the Human Development Index (HDI), the Ease of Doing Business (EDB), the Environmental Performance Index (EPI) and the Global Entrepreneurship (GEI). A country’s progression in these indices is associated with economic growth, especially since several empirical studies have found evidence to reinforce these beliefs, the indices having been built based on the scientific literature on economic growth. Building a database on these indices for European Union countries between 2007 and 2017 and using panel data methodologies and then 2SLS (Two-Stage Least Squares) to solve the problem of endogeneity, we verify empirically through panel data estimates, what is the relationship between the mentioned indices and the European Union countries’ economic growth for the period. However, as the European Union is made up of diverse countries with different economic and social realities, we divided the countries into six clusters and made an individual interpretation for each one. We found that human development and competitiveness play an important role in economic growth, and entrepreneurship also impacts this growth. Regarding income distribution, applying the Gini index, we found that only human development mitigates inequalities.

The Determinants of Vietnam’s Information and Communication Technologies Exports to the European Union

2022 ◽  
pp. 001573252110579
Author(s):  
Phan Thanh Hoan ◽  
Duong Thi Dieu My
Keyword(s):  
European Union ◽  
Information And Communication Technologies ◽  
Gravity Model ◽  
Patent Application ◽  
Communication Technologies ◽  
Policy Implications ◽  
The European Union ◽  
Factors Affecting ◽  
Information And Communication ◽  
The Eu

Vietnam is one of the top information and communication technologies (ICT) exporters globally, and the ICT products constitute nearly one-fifth of Vietnam’s total exports to the European Union (EU). This study empirically investigates the determinants of Vietnam’s ICT exports to the EU by applying the gravity model for trade with panel data from 2000 to 2019. Besides the traditional variables of the gravity model, we added gross capital formation, patent application and exchange rates as explanatory variables. The results show that among factors affecting Vietnam’s ICT export to the EU, market size, patent applications, and exchange rate are the most significant determinants. The article also suggests some policy implications for the development of ICT exports between the two parties. JEL Codes: F14, C2

Free Trade Agreement between Tunisia and the European Union, Do Institutions Matter?: An Empirical Validation by A Gravity Model

2015 ◽  
Vol 5 (2) ◽  
pp. 19-36
Author(s):  
Anis Kacem
Keyword(s):  
European Union ◽  
International Trade ◽  
Gravity Model ◽  
Free Trade ◽  
Spatial Econometrics ◽  
Free Trade Agreement ◽  
Trade Agreement ◽  
The European Union ◽  
Institutional Dimension ◽  
North And South

Tunisia has signed a free trade agreement with the European Union in 1996, which provides for the reduction of tariff barriers between Tunisia and the EU. In this article, we aim to know and test whether the similarity of the institutional framework has to stimulate international trade between Tunisia and the European Union. In this context, we built a variable called “Institutional distance” to valid the institutional dimension of international trade, near borders effects reported in the literature. To this end, a gravity model was used initially (Tunisia and 21 European countries). Secondly, the estimate shows the existence of spatial autocorrelation. The latter has been corrected using spatial econometrics. The results show that the geographical distance remains more important than the institutions in this type of agreement between north and south shores of the Mediterranean.

A Gravity Model to Explain Flows of Wild Edible Mushroom Picking. A Panel Data Analysis

2019 ◽  
Vol 156 ◽  
pp. 164-173 ◽  
Author(s):  
Pablo de Frutos ◽  
Beatriz Rodriguez-Prado ◽  
Joaquín Latorre ◽  
Fernando Martinez-Peña
Keyword(s):  
Data Analysis ◽  
Panel Data ◽  
Gravity Model ◽  
Panel Data Analysis ◽  
Edible Mushroom ◽  
Wild Edible Mushroom

scholarly journals Import Flows of Bangladesh: Gravity Model Approach under Panel Data Methodology

2012 ◽  
Vol 60 (2) ◽  
pp. 153-157 ◽  
Author(s):  
Mili Roy ◽  
Md. Israt Rayhan
Keyword(s):  
Panel Data ◽  
Gravity Model ◽  
Cross Section ◽  
Time Series Data ◽  
Random Effect ◽  
Least Square ◽  
Series Data ◽  
Ordinary Least Square ◽  
Extended Gravity ◽  
Trading Partners

In counterpoint to export growth, Bangladesh import growth has remained much less strong, despite impressive progress in import liberalization. This study gives an overview of different methodologies related to gravity model analysis in Bangladesh’s import flow. A pooled cross section and time series data were analyzed to incorporate the country specific heterogeneity in country pair trading partners. The import flows are justified by the basic gravity model since Bangladesh’s imports are positively significant by the economy size and inversely related to trade barrier. Accordingly, we have analyzed pooled ordinary least square, fixed effect, random effect. This study also explores extended gravity model using several variables in the light of gravity model panel data approach. Bangladesh’s import is determined by the home and foreign country’s gross domestic product and exchange rate. In addition, Cross section results show that regional trade arrangement which is South Asian Association for Regional Co-operation and border are significant for Bangladesh’s importimplies that Bangladesh should import more from intra regional country and also should import from India.DOI: http://dx.doi.org/10.3329/dujs.v60i2.11485 Dhaka Univ. J. Sci. 60(2): 153-157, 2012 (July)  

scholarly journals Efeito do Volume de Negócios nas Escolhas de Recomendações de Ações dos Analistas

2018 ◽  
Vol 15 (2) ◽  
pp. 287
Author(s):  
Rafael Moreira Antônio ◽  
Alex Augusto Timm Rathke ◽  
Marcelo Botelho da Costa Moraes ◽  
Marcelo Augusto Ambrozini
Keyword(s):  
Panel Data ◽  
Trading Volume ◽  
Listed Companies ◽  
Net Income ◽  
Trade Volume ◽  
Panel Data Regression ◽  
Data Regression ◽  
Sample Data ◽  
Equity Ratio ◽  
Unbalanced Panel Data

The present study analyses the effect of trade volume on market analysts’ purchase and sell recommendation choices. The research analyses 7,293 consensus recommendations regarding Brazilian listed companies for the period 2008-2014. Sample data includes firms’ fundamentalist characteristics, as total assets, return, net income and dividends, with the objective to identify the factors taken under account by analysts for their recommendation evaluations. Applying unbalanced panel data regression strategy, we find that analysts prefer to recommend shares with higher observed trading volume, and the shares with more favourable evaluations are those with higher observed trading volume, which is agreeing with theoretical expectations. Other significative covariates for recommendations are the earnings before interests and taxes – EBIT, return per share, return of assets – ROA, paid dividends, and the price/equity ratio.

scholarly journals Idiosyncratic Risk and Firm Characteristics on Islamic Stocks of Four Asean Countries 2005–2017

2021 ◽  
Vol 21 (3) ◽  
pp. 1226-1238
Author(s):  
Putri Utami ◽  
Muhammad Budi Prasetyo
Keyword(s):  
Panel Data ◽  
Global Financial Crisis ◽  
The United States ◽  
Idiosyncratic Risk ◽  
Idiosyncratic Volatility ◽  
Firm Characteristics ◽  
Panel Data Regression ◽  
Data Regression ◽  
Asean Countries ◽  
The Relationship

This research investigates idiosyncratic volatility in the Islamic stock of four ASEAN countries, namely Indonesia, Malaysia, Singapore, and Thailand for 2005–2017. The volatility will be analyzed based on the idiosyncratic volatility levels of each country. Furthermore, firm characteristics will be used to determine their relationship to the idiosyncratic volatility movement. This study used the Fama-French Three-Factor model for obtaining the realized value of idiosyncratic volatility. Furthermore, a panel data regression is used to estimate the relationship between firm characteristics and idiosyncratic volatility. The results of this research suggest that mean value of idiosyncratic risk in the Islamic stock of ASEAN countries is below the non-Islamic stock in the United States but above non-Islamic stock in Hong Kong. Meanwhile, after the global financial crisis of 2008, the relationship between return and idiosyncratic risk of Islamic stock changed in all four countries. Panel data regression of firm characteristics shows that firm size is significantly negative in all four countries, while share turnover is insignificant to idiosyncratic volatility.

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