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2024 | OriginalPaper | Chapter

The Determinants of Carbon Dioxide Emissions in ASEAN-7: Evidence from Bayesian Model Averaging Approach

Authors : Tho M. Nguyen, Pathairat Pastpipatkul, Worrawat Saijai

Published in: Applications of Optimal Transport to Economics and Related Topics

Publisher: Springer Nature Switzerland

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Abstract

The study uses the Bayesian model averaging (BMA) approach to identify the determinants of carbon dioxide emissions in selected ASEAN countries for the period 1990–2020. The environmental Kuznets curve (EKC) hypothesis is re-examined during the analysis. Applying both non-informative and informative priors, the results show that energy factors are the main causes affecting CO\(_2\) emission levels. Based on the obtained models, some recommendations are proposed for each group of countries to control the generation of CO\(_2\) outputs.

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previous chapter Estimation Methods for the Coefficient of Variation of the Three-Parameter Lognormal Distribution: Their Application to Wind Speed Data Indicating Soil Erosion Effects

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The selected countries include Brunei, Indonesia, Malaysia, Philippines, Singapore, Thailand, and Vietnam.

BRIC stands for Bayesian Ridge, Lasso, and Elastic Net. It is a specification of Zellner’s g-prior that extends BMA application to regularization techniques.

It is introduced by Zellner (1986) and is the informative prior distribution for the coefficient parameters [24]

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Title: The Determinants of Carbon Dioxide Emissions in ASEAN-7: Evidence from Bayesian Model Averaging Approach
Authors: Tho M. Nguyen
Pathairat Pastpipatkul
Worrawat Saijai
Publisher: Springer Nature Switzerland
Book: Applications of Optimal Transport to Economics and Related Topics
Print ISBN: 978-3-031-67769-4

Electronic ISBN: 978-3-031-67770-0

Copyright Year: 2024
DOI: https://doi.org/10.1007/978-3-031-67770-0_22

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