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Investigating the pollution haven hypothesis in Ghana: An empirical investigation

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TLDR
In this paper, the authors investigated the pollution haven hypothesis (PHH) in Ghana utilizing CO 2 emission as an indicator of air pollution for the period of 1980-2012, using different time series models utilizing the autoregressive distributed lag (ARDL) method.
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This article is published in Energy.The article was published on 2017-04-01. It has received 438 citations till now. The article focuses on the topics: Foreign direct investment & Pollution haven hypothesis.

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Citations
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Effect of foreign direct investments, economic development and energy consumption on greenhouse gas emissions in developing countries

TL;DR: The study found a strong positive effect of energy consumption on greenhouse gas emissions and confirmed the validity of the pollution haven hypothesis.
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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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Effect of natural resources, renewable energy and economic development on CO2 emissions in BRICS countries.

TL;DR: Abundance of natural resources mitigates CO2 emission in Russia, but contributes to pollution in South Africa, and natural resources help to form Environmental Kuznets Curve (EKC) hypothesis in Brazil, China, Russia, and South Africa.
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Foreign Direct Investment–CO2 Emissions Nexus in Middle East and North African countries: Importance of Biomass Energy Consumption

TL;DR: In this article, the authors examined the association between foreign direct investment (FDI) and carbon emissions for the Middle East and North African (MENA) region in 1990-2015, including biomass energy consumption as an additional determinant of carbon emissions.
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A review on Environmental Kuznets Curve hypothesis using bibliometric and meta-analysis

TL;DR: The meta-analysis reveals that the collection of studies that validate the inversed-U shaped relationship has an average of US$8910 as the turning point of annual income level, and Heterogeneity is confirmed among turning point in studies on EKC hypothesis.
References
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Journal ArticleDOI

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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The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis

Pierre Perron
- 01 Nov 1989 - 
TL;DR: In this paper, the authors consider the null hypothesis that a time series has a unit root with possibly nonzero drift against the alternative that the process is "trend-stationary" and show how standard tests of the unit root hypothesis against trend stationary alternatives cannot reject the unit-root hypothesis if the true data generating mechanism is that of stationary fluctuations around a trend function which contains a one-time break.
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Testing for unit roots in autoregressive-moving average models of unknown order

TL;DR: In this paper, the authors developed a test for unit roots which is based on an approximation of an autoregressive-moving average model by an auto-gression, which has a limit distribution whose percentiles have been tabulated.
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Is Free Trade Good for the Environment

TL;DR: In this article, the authors develop a theoretical model to divide trade's impact on pollution into scale, technique and composition effects and then examine this theory using data on sulfur dioxide concentrations from the Global Environment Monitoring Project.
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What are the factors that influence the spatial distribution of pollutant gases in Ghana?

The provided paper does not specifically investigate the factors that influence the spatial distribution of pollutant gases in Ghana.