Analysis of Factors Influencing Global Carbon Dioxide Emission Characteristics Using Panel Data and Evaluation of Their Impact

Abstract

To examine measures to reduce global carbon dioxide emissions, this research focus on CO_2 emissions per that reflects the unique social and economic aspects of each country and the degree of influence of factors affecting CO_2 emissions per was evaluated comprehensively and quantitatively by empirical analysis. The analysis employs panel data and was carried out both the world and national groups with similar economic and social characteristics. The result shows that Nominal GDP per capita that indicates one aspect of affluent life and Nominal per primary energy consumption that indicates energy use efficiency have strong influence on the global CO_2 emissions per capita, while the industrial sector composition and average temperature gives no significant effect. In country groups categorized by social and economic characteristics, there are significant effects due to differences in industrial sector composition and average temperature. Aiming for reduction of CO_2 emissions per capita, the country group mainly consist of BRICs must improve productivity in the industry, the group mainly consist of least developed countries should promote the use of the Internet, and group mainly consist of industrialized countries must improve energy efficiency, and the group mainly consist of developed countries are required to promote the introduction of renewable energy and improve heating efficiency.