Published September 2021 | Version v1
Journal article

Factors that impact greenhouse gas emissions in Saudi Arabia: Decomposition analysis using LMDI

  • 1. Economics Department, College of Applied Studies and Community Service, King Saud University, P.O. Box 22459, Riyadh, 11495 (Saudi Arabia)

Description

Highlights: • The LMDI technique was used to determine the drivers of GHG emissions in this study. • Energy consumption is a key driver of GHG emissions in Saudi Arabia. • Improving energy efficiency is an important way to reduce greenhouse gas emissions. Over the past three decades, Saudi Arabia's greenhouse gas (GHG) emissions have increased sharply. This study exposes the factors that affect GHG emissions in nine sectors via the logarithmic mean Divisia index (LMDI) method for 1990 to 2016. The analysis demonstrates that the energy effect was a leading factor increasing greenhouse gas emissions, at 386.76 million tonnes of carbon dioxide-equivalent (MTCO2e). Activity and population effects also contributed to the increase in emissions at 339.56 (MTCO2e) and 267.38 (MTCO2e), respectively, but the energy effect was greater than the other effects. Results reveal that activity, energy and population effects are greater in the electricity sector than the transport sector. The electricity sector increased greenhouse gas emissions by 4298.05 (MTCO2e) and transport, 2243.63 (MTCO2e). Therefore, policymakers need to consider climate change when they are developing economic growth plans to achieve sustainable development. This may be done through adopting a new policy to transfer from traditional sources to renewable energy sources or focusing on raising energy efficiency and changing energy structure to impact the growth of greenhouse gas emissions.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2021.112454

Additional details

Identifiers

DOI
10.1016/j.enpol.2021.112454;
PII
S0301421521003244;

Publishing Information

Journal Title
Energy Policy
Journal Volume
156
Journal Page Range
vp.
ISSN
0301-4215
CODEN
ENPYAC

Optional Information

Copyright
Copyright (c) 2021 Elsevier Ltd. All rights reserved.