Persistence of shocks on sectoral non-methane volatile organic compound from 1820 to 2019: Insights from a fourier quantile unit root test.

Despite being directly related to anthropogenic consumption and production, researchers have paid less attention to understanding the dynamics of non-methane volatile organic compounds. The primary objective of this research is to investigate the persistence of potential shocks to non-methane volatile organic compounds in 20 developed from 1820 to 2019 performing traditional unit root approaches and a newly developed Fourier quantile unit root test. Great portion of the empirical results obtained by traditional unit root tests reveal that the sectoral non-methane volatile organic compounds follow a non-stationary process, while the Fourier quantile unit root test indicate quite different results.

On the persistence of shocks to global CO emissions: a historical data perspective (0 to 2014).

Anthropogenic emissions of carbon dioxide (CO) are the most important greenhouse gas. However, until now, no research has investigated the persistence of global CO emissions over a very long period of time. This work aims to fill this gap by examining the persistence of shocks to global CO emissions with a dataset of more than 2000 years.

Wavelet and Fourier augmented convergence analysis of methane emissions in more than two centuries: implications for environmental management in OECD countries.

Addressing the challenges posed by pollutants is necessary to achieve Sustainable Development Goal 13, which involves climate change mitigation and enhancement of environmental quality. The convergence analysis of a pollutant provides information that can be useful to how to handle that pollutant across countries or regions, and previous studies mainly focused on carbon emission. However, the second most significant greenhouse gas, methane emission, was mostly ignored.

Renewable, non-renewable energy consumption and economic growth nexus in G7: fresh evidence from CS-ARDL.

This study investigates the effects of renewable energy (REN) consumption and non-renewable energy (NREN) consumption on economic growth in G7 countries with annual data covering the period 1980-2016 using a new panel data estimator that provides robust results under cross-sectional dependence, slope heterogeneity, and can be used whether series are integrated in different orders. In addition, the causality between the variables is analyzed with the panel bootstrap Granger causality method takes cross-sectional dependency and slope heterogeneity into account. According to Cross-sectionally Augmented Autoregressive Distributed Lag (CS-ARDL) results, the coefficients of REN and NREN consumption are positive and statistically significant in both the short- and long-run.

The relationship between economic growth and carbon emissions in G-7 countries: evidence from time-varying parameters with a long history.

This paper re-investigates the time-varying impacts of economic growth on carbon emissions in the G-7 countries over a long history. In doing so, the historical data spanning the period from the 1800s to 2010 (as constructed) for each country is examined using the time-varying cointegration and bootstrap-rolling window estimation approach. Unlike the previous environmental Kuznets curve (EKC) studies, using this methodology gives us avenue to detect more than one, two, or more turning points for the economic growth-carbon emissions nexus.

Revisiting the Environmental Kuznets Curve hypothesis in OECD countries: the role of renewable, non-renewable energy, and oil prices.

Environment-economic growth nexus is one of the main concerns of the researchers in the modern era. Although there are several studies in this field, discussions are far from being reached a consensus. The main purpose of this study is to investigate the role of economic growth, renewable and non-renewable energy consumption, oil prices, and trade openness on CO2 emissions in 25 Organization for Economic Co-operation and Development (OECD) countries over the period 1990-2014.

Revisiting the pollution haven hypothesis in ASEAN-5 countries: new insights from panel data analysis.

Pollution haven hypothesis (PHH) has been investigated extensively in the existing literature due to global environmental issues such as global warming and climate change. However, there is still no consensus on whether this hypothesis is valid. Therefore, the aim of this study is to examine the validity of the PHH in ASEAN-5 countries (Indonesia, Malaysia, Philippines, Singapore, and Thailand) covering the period of 1981-2014.

Does pollution haven hypothesis hold in newly industrialized countries? Evidence from ecological footprint.

This study aims to investigate the validity of pollution haven hypothesis for the period from 1982 to 2013 in ten newly industrialized countries. For this purpose, we examine the relationship between real income, foreign direct investment, energy consumption, and ecological footprint using second-generation panel data methodology to take into account the cross-sectional dependence among newly industrialized countries. In doing so, the possible nonlinear relationship between foreign direct investment and environmental degradation is also searched.

Bootstrap rolling window estimation approach to analysis of the Environment Kuznets Curve hypothesis: evidence from the USA.

This study aims to examine the validity of inverted U-shaped Environmental Kuznets Curve by investigating the relationship between economic growth and environmental pollution for the period from 1966 to 2013 in the USA. Previous studies based on the assumption of parameter stability and obtained parameters do not change over the full sample. This study uses bootstrap rolling window estimation method to detect the possible changes in causal relations and also obtain the parameters for sub-sample periods.