A Novel Analysis of Economic Development versus CO2 Emissions for Empirical Proof of the Kuznets Curve and Insight into Future Trends

Published: 16-02-2021| Version 1 | DOI: 10.17632/7wtj3szxj2.1
Contributor:
Karthik Nemani

Description

This experiment utilized existing data on per capita GNI (USD) and CO2 emissions (metric tons) in 215 countries, from 2009, data on per capita GNI (USD) and CO2 emissions (metric tons) in 215 countries from 2014, and data on per capita CO2 emissions and CO2 emissions from the following industries: electricity & heat, manufacturing & construction, residential, transport, and other (as % of total fuel combustion) in 215 countries from 2009. Per capita GNI for 215 countries were obtained from the World Bank “GNI per capita, Atlas Method (current US$)” data bank in 2009 and 2014. Per capita CO2 emissions for 215 countries were obtained from the World Bank “CO2 emissions (metric tons per capita)” data bank in 2009 and 2014. CO2 emissions (as % of total fuel combustion) from the electricity & heat industry for 215 countries in 2009 were obtained from the World Bank “CO2 emissions from electricity and heat production, total (as % of total fuel combustion)”. CO2 emissions (% of total fuel combustion) from the transport industry for 215 countries in 2009 were obtained from the World Bank “CO2 emissions from transport (% of total fuel combustion)”. CO2 emissions (% of total fuel combustion) from the residential industry for 215 countries in 2009 were obtained from the World Bank “CO2 emissions from residential buildings and commercial and public services (% of total fuel combustion)”. CO2 emissions (% of total fuel combustion) from the manufacturing & construction industry for 215 countries in 2009 were obtained from the World Bank “CO2 emissions from manufacturing industries and construction (% of total fuel combustion). CO2 emissions (% of total fuel combustion) from all other industries for 215 countries in 2009 were obtained from the World Bank “CO2 emissions from other sectors, excluding residential buildings and commercial and public services (% of total fuel combustion)”.

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