The Relationship between Economic Growth and Remittances In The Presence of Cross-Sectional Dependence

2015 ◽  
Vol 49 (1) ◽  
pp. 207-221 ◽  
Author(s):  
Mohammad Salahuddin ◽  
Jeff Gow
Keyword(s):  
Economic Growth ◽  
Cross Sectional ◽  
Cross Sectional Dependence ◽  
The Relationship

scholarly journals Financial Development and Economic Growth: Evidence from the Eurozone

2021 ◽  
Vol 4 (1) ◽  
pp. p7
Author(s):  
Pavlos Stamatiou ◽  
Maria Papadopoulou
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Trade Openness ◽  
Panel Analysis ◽  
Cross Sectional ◽  
Analysis Techniques ◽  
Long Run ◽  
Cross Sectional Dependence ◽  
Using Data ◽  
The Relationship

The aim of this paper is to investigate the relationship between financial development and economic growth, within a panel framework that also accounts for trade openness, for the case of Eurozone using data covering the period 1990-2018. We explore this relationship using panel analysis techniques, robust to cross sectional dependence, in order to investigate the presence of causality between the variables. The cointegration results suggested that there is one cointegrated vector between the functions of economic growth, financial development and trade openness. In addition, the causality results of the study revealed, both in the short and long-run, that there is a unidirectional causal relationship between financial development and economic growth with direction from economic growth to financial development, as well as a unidirectional causality running from trade openness to financial development.

scholarly journals Influence of Tourism on Economic Development in Asian Countries

2020 ◽  
Vol 5 (2) ◽  
pp. 207-216
Author(s):  
Wen-Chuan FU ◽  
◽  
Chia-Jui PENG ◽  
Tzu-Yi YANG ◽  
◽  
...  
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Global Economy ◽  
Tourism Industry ◽  
Asian Countries ◽  
Cross Sectional ◽  
Rate Fluctuation ◽  
National Economic ◽  
International Entry ◽  
The Relationship

Although the tourism industry has recorded the lowest pollution, it significantly contributes to the global economy. Therefore, many countries have spent great efforts in promoting their tourism industry to support their entire economic development. This article considers factors related to the relationship between national economic growth and international entry tourism for 11 Asian countries to investigate the existence of the cross-sectional difference between these countries. Results show that exchange rate fluctuation is an alternative factor affecting economic growth risk, and common slope exists between countries. Moreover, international entry tourist headcount and income show differential slope in some countries, implying that these factors affect the economies of different Asian countries differently.

THE RELATIONSHIP BETWEEN CO2 EMISSIONS AND FINANCIAL DEVELOPMENT

2015 ◽  
Vol 60 (05) ◽  
pp. 1550117 ◽  
Author(s):  
JOE-MING LEE ◽  
KU-HSIEH CHEN ◽  
CHIN-HO CHO
Keyword(s):  
The Netherlands ◽  
Co2 Emissions ◽  
Financial Development ◽  
Energy Use ◽  
Oecd Countries ◽  
Cross Sectional ◽  
Eu Countries ◽  
Cross Sectional Dependence ◽  
The Relationship ◽  
The U.S

This paper examines the relationships among CO2 emissions, energy use, GDP, and financial development for 25 OECD countries over the 1971–2007 period. From the results of the panel FMOLS and the cross-sectional dependence regression, we do not find any support for the existence of the EKC for OECD countries. Moreover, the results present that the coefficient of financial development to CO2 emissions is negative and statistically significant for eight countries (Austria, Denmark, Germany, Ireland, the Netherlands, Norway, Portugal, and the U.S.). The findings of this study thus show that financial development can help EU countries to adjust their CO2 emissions.

At what level of corruption does economic growth decrease?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Ali Trabelsi ◽  
Hédi Trabelsi
Keyword(s):  
Economic Growth ◽  
Panel Data Analysis ◽  
Optimal Threshold ◽  
Cross Sectional ◽  
Content Type ◽  
Marginal Costs ◽  
Marginal Change ◽  
Cross Country ◽  
The Impact ◽  
The Relationship

Purpose The purpose of this study is to examine the impact of corruption on economic growth by testing the hypothesis that the relationship between these two variables is nonlinear and by assessing the veracity of the assumption that corruption is always detrimental to economic growth. Several cross-country studies have treated this question but the findings are not universally robust. Design/methodology/approach In this paper, a panel data analysis has been used to examine 88 countries over the 1984-2011 period. A cross-sectional framework is used in which growth rate and the International Country Risk Guide (ICRG) index are observed only once for each country. Findings The findings indicate that beyond an optimal threshold, both high and low corruption levels can decrease economic growth. Under this optimal threshold, a moderate level of corruption, defined by the point of reversal of the curve of the marginal corruption effect on growth, could have advantages for economic growth. Originality/value This paper shows that the threshold would be a corruption level between 2.5 and 3, which represents the “acceptable corruption level”. This result is conforming to one of the ten principles of economics: “Rational people think at the marginal change”. This threshold represents the point where the marginal benefits of corruption are equal to marginal costs incurred by corruption. Conversely, lack of corruption may be a mechanism that slows down growth.

Health Infrastructure and Economic Growth in Sub-Saharan Africa

2017 ◽  
pp. 82-98
Author(s):  
Samuel Adams ◽  
Edem Kwame Mensah Klobodu ◽  
Richmond Odartey Lamptey
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Capital Investment ◽  
Sub Saharan Africa ◽  
Sufficient Evidence ◽  
Cross Sectional ◽  
Health Infrastructure ◽  
Fixed Capital Formation ◽  
Cross Sectional Dependence ◽  
Sub Saharan

In this study, we examine the effect of health infrastructure on economic growth in 30 Sub-Saharan Africa (SSA) countries over the period 1990-2014. Using modern econometric techniques that account for cross-sectional dependence in panel data, we find that health infrastructure (measured by mortality rate) does not have robust impact on economic growth. Gross fixed capital formation, however, is positively associated with economic growth while labor force and polity variables exhibit significant association with economic growth. The results provide sufficient evidence that although capital investment is adequate, the labor force and political environment have not facilitated the health infrastructure in increasing the GDP per capita level in SSA.

Health Infrastructure and Economic Growth in Sub-Saharan Africa

2018 ◽  
pp. 146-163
Author(s):  
Samuel Adams ◽  
Edem Kwame Mensah Klobodu ◽  
Richmond Odartey Lamptey
Keyword(s):  
Economic Growth ◽  
Labor Force ◽  
Capital Investment ◽  
Sub Saharan Africa ◽  
Sufficient Evidence ◽  
Cross Sectional ◽  
Health Infrastructure ◽  
Fixed Capital Formation ◽  
Cross Sectional Dependence ◽  
Sub Saharan

In this study, we examine the effect of health infrastructure on economic growth in 30 Sub-Saharan Africa (SSA) countries over the period 1990-2014. Using modern econometric techniques that account for cross-sectional dependence in panel data, we find that health infrastructure (measured by mortality rate) does not have robust impact on economic growth. Gross fixed capital formation, however, is positively associated with economic growth while labor force and polity variables exhibit significant association with economic growth. The results provide sufficient evidence that although capital investment is adequate, the labor force and political environment have not facilitated the health infrastructure in increasing the GDP per capita level in SSA.

Nexus of Renewable Energy Consumption, Economic Growth, Population Growth, FDI, and Environmental Degradation in South Asian Countries: New Evidence from Driscoll-Kraay Standard Error Approach

2021 ◽  
Vol 3 (2) ◽  
pp. 200-211
Author(s):  
Ansar Abbas Shah ◽  
Muhammad Sajjad Hussain ◽  
Muhammad Atif Nawaz ◽  
Mazhar Iqbal
Keyword(s):  
Economic Growth ◽  
Renewable Energy ◽  
Energy Consumption ◽  
Population Growth ◽  
South Asian ◽  
Environmental Degradation ◽  
Asian Countries ◽  
Renewable Energy Consumption ◽  
Cross Sectional ◽  
Cross Sectional Dependence

Environmental degradation is the most prominent area nowadays, especially in developing counties where high renewable energy consumption and population growth deteriorate the atmosphere of the country. Thus, the current study investigates the nexus among renewable energy consumption, economic growth (EG), population growth, foreign direct investment (FDI), and environmental degradation in South Asian countries. The covariance matrix estimators that are developed by “Driscoll and Kraay” are used in this study. The primary property of this estimator is that it does not account for the cross-sectional dependence; thus, it provides substantial, robust outcomes among the cross-sectional units while in the presence of cross-sectional dependence. The data was collected from the World Development Indicators (WDI) from 2001 to 2019. The findings exposed that positive nexus among the population growth, FDI, and environmental degradation while renewable energy consumption and EG has negative nexus with environmental degradation and also not supported the EKC hypothesis in South Asian countries. These findings suggested that the regulators should develop policies that reduce environmental degradation in the presence of high EG, energy consumption, FDI, and population growth.

scholarly journals The Impact of Income Inequality on Environmental Quality: A Sectoral-Level Analysis

2021 ◽  
Author(s):  
Sedat Alataş ◽  
Tuğba Akın
Keyword(s):  
Income Inequality ◽  
Carbon Emissions ◽  
Environmental Kuznets Curve ◽  
Kuznets Curve ◽  
Cross Sectional ◽  
Cointegration Tests ◽  
Cross Sectional Dependence ◽  
The Impact ◽  
The Relationship ◽  
Level Analysis

Abstract There is a growing literature on the relationship between income inequality and emissions. However, these studies ignore the sectoral level differences in carbon emissions. We argue that the environmental effect of inequality might vary at the sectoral level. Our main purpose is to contribute to this growing literature on the inequality-emissions nexus by considering sectoral-level differences. For that purpose, we focus on five different sectors: power industry, buildings, transport, other industrial combustion, and other sectors. To specify our model, we augment the environmental Kuznets curve framework with income inequality by controlling the effect of globalization and urbanization. Our country sample consists of 28 OECD economies for the period between 1990 and 2018. Methodologically, we apply the second-generation panel unit root, cointegration tests, and estimators, which produce robust results against the cross-sectional dependence. Our findings reveal that not only income but also income inequality is a crucial factor in explaining changes in sectoral emissions. While rising income inequality increases carbon emissions from the power and building sectors, this finding turns out to be negative for the transport, other industrial combustion, and other sectors. Our results suggest that policies aimed at reducing carbon emissions should be designed at the sectoral level.

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