Investigating the environmental Kuznets curve hypothesis in seven regions: The role of renewable energy. (August 2016)
- Record Type:
- Journal Article
- Title:
- Investigating the environmental Kuznets curve hypothesis in seven regions: The role of renewable energy. (August 2016)
- Main Title:
- Investigating the environmental Kuznets curve hypothesis in seven regions: The role of renewable energy
- Authors:
- Al-Mulali, Usama
Ozturk, Ilhan
Solarin, Sakiru Adebola - Abstract:
- Highlights: The environmental Kuznets curve (EKC) hypothesis in seven regions is investigated. The panel data techniques were implemented during the period 1980–2010. The significance of renewable energy determines the EKC hypothesis. Abstract: The aim of this research is to investigate how renewable energy consumption effects pollution and whether the relationship between income and pollution formulates the inverted U-shaped relationship which signals the existence of the environmental Kuznets curve (EKC). To realize the aims of this study, non-stationary panel data techniques were utilized to examine the seven selected regions. According to Pedroni and Fisher type cointegration tests, the variables were cointegrated. Moreover, the dynamic ordinary least square (DOLS) and the vector error correction model Granger causality revealed that renewable energy consumption has a significant negative effect on pollution in Central and Eastern Europe, Western Europe, East Asia and the Pacific, South Asia, and the Americas. However, the tests revealed that renewable energy consumption has no significant effect on pollution in the Middle East and North Africa and Sub-Saharan Africa. In addition, the results in general indicated that the existence of the EKC hypothesis is determined by the significance of the renewable energy consumption. Therefore, the EKC hypothesis was only found in the regions where their renewable energy has a significant correlation with pollution in both theHighlights: The environmental Kuznets curve (EKC) hypothesis in seven regions is investigated. The panel data techniques were implemented during the period 1980–2010. The significance of renewable energy determines the EKC hypothesis. Abstract: The aim of this research is to investigate how renewable energy consumption effects pollution and whether the relationship between income and pollution formulates the inverted U-shaped relationship which signals the existence of the environmental Kuznets curve (EKC). To realize the aims of this study, non-stationary panel data techniques were utilized to examine the seven selected regions. According to Pedroni and Fisher type cointegration tests, the variables were cointegrated. Moreover, the dynamic ordinary least square (DOLS) and the vector error correction model Granger causality revealed that renewable energy consumption has a significant negative effect on pollution in Central and Eastern Europe, Western Europe, East Asia and the Pacific, South Asia, and the Americas. However, the tests revealed that renewable energy consumption has no significant effect on pollution in the Middle East and North Africa and Sub-Saharan Africa. In addition, the results in general indicated that the existence of the EKC hypothesis is determined by the significance of the renewable energy consumption. Therefore, the EKC hypothesis was only found in the regions where their renewable energy has a significant correlation with pollution in both the short run and the long run. Furthermore, a number of policy recommendations were provided for the investigated regions. … (more)
- Is Part Of:
- Ecological indicators. Volume 67(2016)
- Journal:
- Ecological indicators
- Issue:
- Volume 67(2016)
- Issue Display:
- Volume 67, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 67
- Issue:
- 2016
- Issue Sort Value:
- 2016-0067-2016-0000
- Page Start:
- 267
- Page End:
- 282
- Publication Date:
- 2016-08
- Subjects:
- Renewable energy consumption -- EKC hypothesis -- Dynamic OLS (DOLS) -- Granger causality
Environmental monitoring -- Periodicals
Environmental management -- Periodicals
Environmental impact analysis -- Periodicals
Environmental risk assessment -- Periodicals
Sustainable development -- Periodicals
333.71405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/1470160X/ ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.ecolind.2016.02.059 ↗
- Languages:
- English
- ISSNs:
- 1470-160X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3648.877200
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 7781.xml