The relationship between economic growth and environmental pollution : testing the environmental kuznets curve hypothesis in Egypt
Joint Authors
Man, Ramadan El. A.
Kamil, Maie M.
Source
Scientific Journal for Commerce and Finance
Issue
Vol. 38, Issue 2 (31 Mar. 2018), pp.1-18, 18 p.
Publisher
Tanta University Faculty of Commerce
Publication Date
2018-03-31
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Economy and Commerce
Financial and Accounting Sciences
Topics
- Economic development
- Pollution
- International economic integration
- Foreign investments
- Free trade
- International trade
- Direct investment
Abstract EN
to analyze and measure the nature of the relationship between CO2 emissions, energy consumption, economic growth, trade openness and Foreign Direct Investment in Egypt over the period of 1977–2014, using cointegration and Granger causality approach.
The result suggests that there exists a long-run relationship among the variables and the Environmental Kuznets Curve (EKC) hypothesis is supported.
American Psychological Association (APA)
Man, Ramadan El. A.& Kamil, Maie M.. 2018. The relationship between economic growth and environmental pollution : testing the environmental kuznets curve hypothesis in Egypt. Scientific Journal for Commerce and Finance،Vol. 38, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-1093293
Modern Language Association (MLA)
Man, Ramadan El. A.& Kamil, Maie M.. The relationship between economic growth and environmental pollution : testing the environmental kuznets curve hypothesis in Egypt. Scientific Journal for Commerce and Finance Vol. 38, no. 2 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1093293
American Medical Association (AMA)
Man, Ramadan El. A.& Kamil, Maie M.. The relationship between economic growth and environmental pollution : testing the environmental kuznets curve hypothesis in Egypt. Scientific Journal for Commerce and Finance. 2018. Vol. 38, no. 2, pp.1-18.
https://search.emarefa.net/detail/BIM-1093293
Data Type
Journal Articles
Language
English
Notes
-
Record ID
BIM-1093293