scholarly journals The Shadow Economy-Environmental Quality Nexus In OECD Countries: Empirical Evidence From Panel Quantile Regression

2021 ◽  
Author(s):  
Lan Khanh Chu ◽  
Dung Phuong Hoang
Keyword(s):  
Quantile Regression ◽  
Informal Economy ◽  
Ecological Footprint ◽  
Shadow Economy ◽  
Trade Openness ◽  
Oecd Countries ◽  
Causality Test ◽  
Panel Quantile Regression ◽  
Determining Factors ◽  
The One

Abstract This study explores the determinants of ecological footprint by integrating the influence of the shadow economy. The findings based on the panel quantile regression indicate that the environmental effects of the shadow economy, trade openness, energy intensity, renewable energy, and income are not homogeneous across various levels of ecological footprint. The shadow economy-ecological footprint nexus follows an inverted U-shaped pattern. Initially, the higher size of the informal economy leads to more ecosystem degradation. When the shadow economy increases to certain thresholds, its environmental impact reverts to benefit. Such threshold changes with the evolution of ecological footprint. Specifically, it first rises then decreases along with the degradation of the ecosystem. Moreover, the heterogeneous panel causality test reports the one-way directional running from the shadow economy to the ecological footprint in OECD countries. The significant and heterogeneous relationships between ecological footprint and its determining factors are also established.

scholarly journals Shadow Economy, Economic Growth and Financial Development

2021 ◽  
Author(s):  
Muhammad Mar'i ◽  
Behiye Cavusoglu
Keyword(s):  
Economic Growth ◽  
Quantile Regression ◽  
Financial Development ◽  
Shadow Economy ◽  
Vector Autoregression ◽  
The Other ◽  
Asymmetric Effect ◽  
Panel Quantile Regression ◽  
Negative Effect ◽  
Panel Vector Autoregression

Abstract This study investigates the association between the economic growth, the shadow economy, and financial development in 156 countries worldwide for the period between 1991 and 2015. The study employs two-panel approaches, the panel vector Autoregression, and Panel Quantile Regression. The result shows that economic growth has a negative effect on the shadow economy, while the financial development variables have an asymmetric effect on the shadow economy. On the other hand, the results show that the shadow economy effects economic growth positively and financial development negatively. Also, Panel Quantile Regression shows that economic growth and financial development significantly affect the shadow economy at different quantiles. The effect of economic growth on the shadow economy found as negative at all tested quantiles, while financial development variables vary across the quantiles.JEL:C50, E00, O11, O17

scholarly journals The Ecological Footprint and Kuznets Environmental Curve in the USMCA Countries: A Method of Moments Quantile Regression Analysis

Energies ◽  
2020 ◽  
Vol 13 (24) ◽  
pp. 6650
Author(s):  
Mario Gómez ◽  
José Carlos Rodríguez
Keyword(s):  
Renewable Energy ◽  
Quantile Regression ◽  
Cross Section ◽  
Environmental Degradation ◽  
Method Of Moments ◽  
Significant Relationship ◽  
Environmental Kuznets Curve ◽  
Ecological Footprint ◽  
Trade Openness ◽  
Kuznets Curve

This article examines the environmental Kuznets curve for the member countries of the United States–Mexico–Canada Agreement (USMCA), using the ecological footprint as a measure of environmental degradation during 1980–2016. Panel data econometric methods are applied in this research, such as the cross-section dependence, unit root, cointegration and causality tests, and the new method of moments quantile regression (MMQR). The results suggest that the variables are characterized by a cross-section dependence, integrated of order one, and cointegrated. The fully modified ordinary least squares (FMOLS) method shows that renewable energy reduces environmental degradation, and the environmental Kuznets curve is validated. In contrast, patents and trade openness do not show a statistically significant relationship. These results are confirmed with the MMQR, where renewable energy reduces environmental degradation in quantiles from 4 to 6, while the environmental Kuznets curve hypothesis is valid in quantiles from 3 to 9, and patents and trade openness do not show a statistically significant relationship in any quantile. Therefore, it is essential to promote renewable energies, cleaner technologies, and environmental regulations to reduce polluting emissions.

scholarly journals Impact Assessment of Urethral Meatus Morphology and Penile Biometry in Transurethral Prostate and Bladder Surgery

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Rodrigo Ribeiro Vieiralves ◽  
Paulo Henrique Pereira Conte ◽  
Eduardo Medina Felici ◽  
Nádia Cristina Pinheiro Rodrigues ◽  
Tomás Accioly de souza ◽  
...  
Keyword(s):  
Average Length ◽  
Intervention Group ◽  
Urethral Meatus ◽  
New Classification ◽  
Average Width ◽  
Front Position ◽  
Determining Factors ◽  
Group A ◽  
The One ◽  
Group B

Objective. To analyze the penile and urethral meatus biometry and its correlation with meatoplasty during endoscopic resections. We also propose a new classification for urethral meatus morphology.Materials and Methods. We prospectively studied 105 patients who underwent prostate and bladder transurethral resections. We performed standardized measurement of penile and urethral meatus biometry followed by penile photo in the front position. The need to perform meatoplasty or dilatation during resectoscope introduction was registered. Data were analyzed comparing the correlation between two groups: without intervention (Group A) and with intervention (Group B).Results. We observed in Group A and Group B, respectively, the average length of urethral meatus of 1.07 cm versus 0.75 cm (p<0.001) and average width of urethral meatus of 0.59 cm versus 0.38 cm (p<0.001). Considering the morphology of the urethral meatus, we propose a new classification, in the following groups: (a) typical; (b) slit; (c) point-like; (d) horseshoe; and (e) megameatus. The point-like meatus was the one that most needed intervention, followed by the slit and the typical meatus (p<0.001).Conclusions. Point-like and slit-shaped urethral meatus, as well as reduced length and width of the urethral meatus, are the determining factors.

The Asymmetric Effects of Regional House Prices in the UK: New Evidence from Panel Quantile Regression Framework

2021 ◽  
pp. 232102222098054
Author(s):  
Panayiotis Tzeremes
Keyword(s):  
Private Sector ◽  
Quantile Regression ◽  
House Prices ◽  
Ripple Effect ◽  
The United Kingdom ◽  
Housing Starts ◽  
Panel Quantile Regression ◽  
Linear Behaviour ◽  
Significant Performance ◽  
The Uk

This study unfurls the non-linear behaviour of regional house prices in the United Kingdom by employing quarterly observations spanning the period 1992Q1–2017Q4. Our enquiry aims at examining UK house prices within a multivariable framework and, more specifically, by employing panel quantile regression with fixed effect. In brief, the empirical findings obtained from these methodologies indicate that the UK house prices are influenced at lower and upper quantiles, and that precisely they are influenced by variables such as income, private sector housing starts and employment. We highly support that there is a strong heterogeneity among UK regions and that asymmetry may be one of the keys of the ripple effect. Particularly, the income shows a positively significant performance at lower and higher regional house prices. Moreover, the variables private sector housing starts and employment rate are statistically significant for house prices. Leveraging for first-time panel quantile regression for the case of regional house prices in the UK, policymakers will have a profound understanding of regional house prices. JEL Classifications: C22, R21, R31

scholarly journals Stock prices and economic activity nexus in OECD countries: new evidence from an asymmetric panel Granger causality test in the frequency domain

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Veli Yilanci ◽  
Onder Ozgur ◽  
Muhammed Sehid Gorus
Keyword(s):  
Frequency Domain ◽  
Granger Causality ◽  
Stock Prices ◽  
Economic Activity ◽  
Stock Price ◽  
Predictive Power ◽  
Oecd Countries ◽  
Causality Test ◽  
Asymmetric Shocks ◽  
Panel Granger Causality

AbstractThis study investigates the stock price–economic activity nexus in 12 member countries of the Organization for Economic Cooperation and Development (OECD) by employing monthly data over the period 1981:1–2018:3. For this purpose, the study uses Granger causality in the frequency domain in the panel setting by decomposing the symmetric and asymmetric fluctuations. This methodology determines whether the predictive power of interested variables is concentrated on quickly, moderately, or slowly fluctuating components. Our findings show that the stock prices have predictive power for future long-term economic activity in the panel setting. However, economic activity has more reliable information for stock prices for negative components. Additionally, empirical findings for asymmetric shocks are not fully consistent with those of symmetric ones. Besides, the country-specific results provide different causal linkages across members and frequencies. These findings may provide valuable information for policymakers to design proper and effective policies in OECD countries regarding the stock market and economic activity nexus.

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