arbiter
JournalsPricingAccount

Investigating the Turning Point of Carbon Kuznets Curve in the Case of Morocco

Abdelaziz Aguilal et al.

Economic Studies Journal2026https://doi.org/10.56497/esj260206article
ABDC C
Weight
0.50

What the paper says

This paper aims to establish a long-term and causal relationship between economic growth and carbon dioxide emissions in Morocco. Using data from 1990 to 2023, the Environmental Kuznets Curve hypothesis was tested using the Autoregressive Distributed Lag bounds test methodology. The empirical results suggest a long-run association between per capita CO2 emissions and real per capita Gross Domestic Product when CO2 emissions are the dependent variable. Additionally, our findings indicate an inverted U-shaped, or Environmental Kuznets Curve, relationship between per capita CO2 emissions and income levels. The estimations from a long-term regression show that although the peak point of GDP per capita was calculated to be 7229.729 US Dollars, this turning point fell outside of our observable sample period. Therefore, as per capita GDP rises in subsequent years, CO2 emissions are expected to decrease gradually.

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.56497/esj260206

Or copy a formatted citation

@article{abdelaziz2026,
  title        = {{Investigating the Turning Point of Carbon Kuznets Curve in the Case of Morocco}},
  author       = {Abdelaziz Aguilal et al.},
  journal      = {Economic Studies Journal},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.56497/esj260206},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Investigating the Turning Point of Carbon Kuznets Curve in the Case of Morocco

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.