Related Experiment Video
Updated: Dec 23, 2025

Design and Use of a Full Flow Sampling System FFS for the Quantification of Methane Emissions
Published on: June 12, 2016
The role of globalization in CO2 emissions: A semi-parametric panel data analysis for G7
Mingming Liu1, Xiaohang Ren2, Cheng Cheng3
1School of Economics and Management, China University of Petroleum-Beijing, No. 18 Xuefu Road, Changping District, Beijing 102249, China.
Abstract:
In order to provide flexible and comprehensive results about the relationship between globalization and CO2 emissions for the G7 countries, we introduce the KOF globalization index into traditional Stochastic Impacts by Regression on Population, Affluence and Technology model, and conduct the empirical analysis by applying a semi-parametric panel fixed effects model. The data covering the period of 1970-2015 consists of CO2 emissions, KOF globalization index, renewable energy consumption and GDP. Our results indicate that the relationship between globalization and CO2 emissions are inverted U-sharped, which strongly support the Environmental Kuznets Curve hypothesis. Furthermore, an increase of economic output is associated with statistically significant growth in CO2 emissions. On the contrary, an increment of renewable energy consumption lowers CO2 emissions. Related policy proposals are then offered according to our empirical results.
Related Concept Videos
Global Climate Change
Global Regulatory Systems
Regression Analysis
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
Calculating and Interpreting the Linear Correlation Coefficient
Econometric Views (EViews)
The Carbon Cycle

