Assessing the Impact of Income Inequality and Economic Factors on National Carbon Emissions

Yuanjing Zhu

International Journal of Sciences, 2024, vol. 13, issue 07, 27-35

Abstract: In this study, we focused on better understanding and modeling economic factors into a nation’s carbon emissions. Our analysis highlights this objective in a two-folded manner, centered on how different economic status groups affect a nation’s carbon footprint as well as using key economic and demographic characteristics to categorize nations into high, medium, or low carbon emitters. Utilizing the World Inequality Database (WID), we obtained data on income inequality, national wealth, national income, population, and carbon footprints from ten countries worldwide in a 20-year time frame. We successfully developed two generalized models and concluded that the bottom 50% income bracket accounts for the most carbon emissions within a country. Additionally, by analyzing the values of national income, wealth, and population, we derived a model that predicts and categorizes a country’s emission level with 93% accuracy. These conclusions can potentially assist countries in understanding their global standing and facilitates policy-making to control carbon emissions.

Keywords: Carbon Footprint; Income Inequality; Economic Factors; Generalized Mixed Models; Environmental Policy (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.ijsciences.com/pub/article/2774 (text/html)
https://www.ijsciences.com/pub/pdf/V132024072774.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:adm:journl:v:13:y:2024:i:7:p:27-35

Ordering information: This journal article can be ordered from
https://www.ijsciences.com/payment_guide.php

DOI: 10.18483/ijSci.2774

Access Statistics for this article

More articles in International Journal of Sciences from Office ijSciences Alkhaer Publications Manchester M8 8XG England.
Bibliographic data for series maintained by Staff ijSciences ().