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Testing the EKC hypothesis for ten US states: an application of heterogeneous panel estimation method
- Publication Year :
- 2019
- Publisher :
- Springer Heidelberg, 2019.
-
Abstract
- WOS: 000464854500035<br />PubMed ID: 30778930<br />This study aims to test the EKC (Environmental Kuznets Curve) hypothesis for the ten states, having the highest levels of carbon dioxide emissions in the USA, through the independent variables of real GDP, population, and renewable energy and fossil energy consumptions. To this aim, the panel estimation method with cross-sectional dependence is applied to data from 1980 to 2015. The empirical findings of the study indicate that the EKC (inverted U-shaped) hypothesis is valid only for Florida, Illinois, Michigan, New York, and Ohio. Interestingly, the negative impacts of fossil energy consumption on CO2 emission levels in Texas are not detected statistically although this state is the leading oil-producing state. Furthermore, the positive impacts of renewable energy consumption in Florida, officially known as "Sunshine State", are considerably low when compared with the other states.
- Subjects :
- Conservation of Natural Resources
Fossil Fuels
Health, Toxicology and Mutagenesis
media_common.quotation_subject
Population
New York
010501 environmental sciences
Population And Cross-Sectional Dependence
01 natural sciences
Gdp
Kuznets curve
Fossil Energy
Econometrics
Environmental Chemistry
Renewable Energy
education
0105 earth and related environmental sciences
media_common
Ohio
Consumption (economics)
Estimation
education.field_of_study
Variables
business.industry
Co2 Emissions
Fossil fuel
General Medicine
Carbon Dioxide
Pollution
Texas
Renewable energy
Environmental Kuznets Curve (Ekc)
Real gross domestic product
Florida
Environmental science
Economic Development
Illinois
business
Environmental Monitoring
Subjects
Details
- Language :
- English
- ISSN :
- 00046485
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....6cbef0df18d13a32a085e31d4a846578