Narrow Your Choices

Refine By Topic

Refine By Series

Refine By Language

Refine By Date

—

Refine By IMF Taxonomy

Refine By JEL Taxonomy

Refine by LOC Taxonomy

Refine By THEMA Taxonomy

  • Print
  • Save

Middle East and Central Asia > Qatar

You are looking at 1 - 2 of 2 items for :

  • Type: Journal Issue x
  • 'Panel Data Models; Spatio-temporal Models' x
Clear All Modify Search
Cover IMF Working Papers
Structural Breaks in Carbon Emissions: A Machine Learning Analysis
Jiaxiong Yao
and
Mr. Yunhui Zhao
To reach the global net-zero goal, the level of carbon emissions has to fall substantially at speed rarely seen in history, highlighting the need to identify structural breaks in carbon emission patterns and understand forces that could bring about such breaks. In this paper, we identify and analyze structural breaks using machine learning methodologies. We find that downward trend shifts in carbon emissions since 1965 are rare, and most trend shifts are associated with non-climate structural factors (such as a change in the economic structure) rather than with climate policies. While we do not explicitly analyze the optimal mix between climate and non-climate policies, our findings highlight the importance of the nonclimate policies in reducing carbon emissions. On the methodology front, our paper contributes to the climate toolbox by identifying country-specific structural breaks in emissions for top 20 emitters based on a user-friendly machine-learning tool and interpreting the results using a decomposition of carbon emission ( Kaya Identity).
Keywords:
Climate Policies; Carbon Emissions; Machine Learning; Structural Break; Kaya Identity; machine learning methodology; machine learning analysis; user-friendly machine-learning tool; emission level; energy intensity; Greenhouse gas emissions; Climate policy; Climate change; Carbon tax; Machine learning; Global
Cover IMF Working Papers
Oil Prices and Bank Profitability: Evidence From Major Oil-Exporting Countries in the Middle East and North Africa
Mr. Heiko Hesse
and
Mr. Tigran Poghosyan
This paper analyzes the relationship between oil price shocks and bank profitability. Using data on 145 banks in 11 oil-exporting MENA countries for 1994-2008, we test hypotheses of direct and indirect effects of oil price shocks on bank profitability. Our results indicate that oil price shocks have indirect effect on bank profitability, channeled through country-specific macroeconomic and institutional variables, while the direct effect is insignificant. Investment banks appear to be the most affected ones compared to Islamic and commercial banks. Our findings highlight systemic implications of oil price shocks on bank performance and underscore their importance for macroprudential regulation purposes in MENA countries.
Keywords:
WP; bank; price; oil price shock; profitability; bank profitability; oil price shocks; system GMM; bank inefficiency; bank owner; world oil price; bank specialization; terms of bank assets; bank behavior; macroeconomic factor; bank performance; bank type; shock variable; bank size; cyclical bank lending; Oil prices; Bank soundness; Credit risk; Islamic banking; Inflation; Global; Middle East; North Africa; East Africa