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Journal ArticleDOI

CO2 emissions, energy consumption, economic growth, and financial development in GCC countries: Dynamic simultaneous equation models

TLDR
In this article, the authors investigated the causes of carbon emissions by taking into account the role of financial development and economic growth in GCC countries, and found a long-run unidirectional causality running from carbon emissions to energy use in the case of Saudi Arabia, UAE, and Qatar.
Abstract
This study investigates the dynamic causal relationships among carbon emissions, financial development, economic growth, and energy consumption for Gulf Cooperation Council (GCC) countries from 1980 through 2011. Annual time series data and an autoregressive distributed lag (ARDL) model are used. The main contribution of this paper is that it has investigated the causes of carbon emissions by taking into account the role of financial development and economic growth in GCC countries. The results suggest long-run and causal relationships among carbon emissions, financial development, gross domestic product (GDP), and energy use in all GCC countries except United Arab Emirates (UAE). Moreover, there is long-run unidirectional causality running from carbon emissions to energy use in the case of Saudi Arabia, UAE, and Qatar. Furthermore, a one-way causal relationship from financial development to carbon emissions in the context of UAE, Oman, and Kuwait is found. The evidence suggests that financial systems should take into account environmental aspects in their current operations in these countries. The results of this study may be of great importance for policy and decision makers in developing energy policies for GCC countries that contribute to curbing carbon emissions while preserving economic growth.

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Environmental Degradation in France: The Effects of FDI, Financial Development, and Energy Innovations

TL;DR: This article explored the determinants of carbon emissions in France by accounting for the significant role played by foreign direct investment (FDI), financial development, economic growth, energy consumption and energy research innovations in influencing CO2 emissions function.
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Impact of renewable energy consumption and financial development on CO2 emissions and economic growth in the MENA region: A panel vector autoregressive (PVAR) analysis

TL;DR: In this paper, the authors employed the panel vector autoregressive (PVAR) model to examine the impact of renewable energy and financial development on carbon dioxide (CO2) emissions and economic growth.
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The effects of electricity consumption, economic growth, financial development and foreign direct investment on CO2 emissions in Kuwait

TL;DR: In this paper, the authors examined the empirical effects of economic growth, electricity consumption, foreign direct investment (FDI), and financial development on carbon dioxide (CO2) emissions in Kuwait using time series data for the period 1980-2013.
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Role of financial development, economic growth & foreign direct investment in driving climate change: A case of emerging ASEAN.

TL;DR: It showed that in ASEAN-5 countries, economic growth, financial development and FDI leads to an increase in environmental degradation, and the quadratic term for economic growth showed a negative impact on environmental degradation.
Journal ArticleDOI

Carbon dioxide (CO2) emissions and economic growth: A systematic review of two decades of research from 1995 to 2017.

TL;DR: The results of this paper demonstrated that the nexus between CO2 emissions and economic growth gives reasons for policy options that have to reduce emissions by imposing limiting factors on economic growth as well.
References
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Journal ArticleDOI

Co-integration and Error Correction: Representation, Estimation and Testing

TL;DR: The relationship between co-integration and error correction models, first suggested in Granger (1981), is here extended and used to develop estimation procedures, tests, and empirical examples.
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Distribution of the Estimators for Autoregressive Time Series with a Unit Root

TL;DR: In this article, the limit distributions of the estimator of p and of the regression t test are derived under the assumption that p = ± 1, where p is a fixed constant and t is a sequence of independent normal random variables.
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Testing for a Unit Root in Time Series Regression

TL;DR: In this article, the authors proposed new tests for detecting the presence of a unit root in quite general time series models, which accommodate models with a fitted drift and a time trend so that they may be used to discriminate between unit root nonstationarity and stationarity about a deterministic trend.
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Bounds testing approaches to the analysis of level relationships

TL;DR: In this paper, the authors developed a new approach to the problem of testing the existence of a level relationship between a dependent variable and a set of regressors, when it is not known with certainty whether the underlying regressors are trend- or first-difference stationary.
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