World Income Classification and Emissions: A Study of the Relationship Using Machine Learning Techniques

Karthikeyan Chandramohan and Ramasamy Murugesan ()
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Ramasamy Murugesan: National Institute of Technology

A chapter in Achieving $5 Trillion Economy of India, 2022, pp 63-79 from Springer

Abstract: Abstract Using classification and clustering on cross-sectional data for 185 countries, this study explores if the level of emissions in a country is a determinant of the income class of a country. This study also tests the presence of EKC relationship between emissions and income across the countries. Income classification and emission data of countries obtained from World Bank has been used. The results, which can have a variety of policy implications, reveal: (1) clustering based on CO2 emissions alone has a considerable overlap with income classification, (2) CO2 emission per capita alone predicts the income class of a country and (3) presence of EKC relationship between CO2 emissions and income.

Keywords: Emissions; Income classification; EKC; Logit; Probit; Clustering; Regression (search for similar items in EconPapers)
JEL-codes: O13 Q56 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-981-16-7818-9_4

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DOI: 10.1007/978-981-16-7818-9_4

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