This study investigates the impact of environmental innovation, de jure trade globalization, renewable energy consumption and financial development on CO 2 emissions in United States (US) under Environment Kuznets Curve hypothesis (EKC). To do this, yearly data from 1971 to 2018 is employed using novel Augmented ARDL (AARDL) Gradual Shift causality for empirical analysis. The outcomes AARDL tes...

Recent debates on the Environmental Kuznets Curve (EKC) in context of European Green Deal highlights that pollution could be controlled using channels other than economic development. The role renewable energy consumption reducing should correlated with quality governance, which support initiatives for a cleaner environment. This study considers curve 10 Central and Eastern countries period 200...

Using annual time series data from 1983 to 2019, this study examines the impact of economic growth, exports, energy consumption, and financial development on environmental deterioration in Bangladesh. The long-run cointegration variables is investigated using Dynamic Ordinary Least Squares (DOLS) Fully Modified OLS (FMOLS) approaches. co-integration demonstrates a long-term relationship between...

in this paper, we have calculated the environmental efficiency for india, turkey, egypt and iran. the results show that iran’s environmental efficiency has experienced a decreasing trend from 1991 to 2007and india, turkey, egypt and iran have the highest environmental efficiency, respectively. we also have investigated the environmental kuznets curve for this period using data envelopment analy...

Validity of Environmental Kuznets Curve (EKC) hypothesis has been tested by several researchers. While macro approaches towards EKC are largely discussed in the literature, microeconomic quite scarce. This paper, this respect, aims to provide individual insights on environmental preferences. Using priority protection rather than economic growth as an indicator, I investigate factors affecting p...

cointegration Classical regression analysis assumes that the error term in a regression is normally and independently distributed. An extreme violation of this condition is when the error term is a random walk. Such a regression is termed a spurious regression and the results are not reliable. It usually indicates that a required variable with random walk behavior has been omitted from the mode...

This work aims to investigate a relationship between economic and environmental drivers under the diversification condition including seven activity sectors for set of nine OPEC countries during 1974–2016. For validating two Environmental Kuznets Curve – EKC equations proposed, panel data analysis was followed through long short-run estimations, Pooled Mean Group, Dynamic Fixed Effect estimator...

In many fields of the economics discipline, much of the empirical work includes a thorough analysis of time series data. In environmental economics, however, such an analysis is often neglected. This is unfortunate for two reasons. First, as Lee and List (2004. Examining trends of criteria air pollutants: ere the effects of government intervention transitory? Environmental and Resource Economic...

4.1 Abstract We examine a crosscountry data set of 6 East Asian countries 1 for the period of 19802006 with the aim to study the interrelationship between trade liberalization and environmental degradation. On the basis of the parametric econometric model, we investigate trade liberalization’s impact on the environment quality 2 . We take two environmental indicators for analyses that are carbo...

This study assesses the impact of foreign direct investment (FDI) and energy consumption transport sector on CO 2 emissions in five ASEAN (Association Southeast Asian Nations) countries for period 1980–2019. The employs environmental Kuznets curve (EKC), uses a nonlinear autoregressive distributive lag model (NARDL) to analyze data. results suggest that carbon their determinants have long-run e...