Related Experiment Video
Updated: Sep 27, 2025

Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace
Published on: September 6, 2018
Quantile relationship between globalization, financial development, economic growth, and carbon emissions: evidence
Ngo Thai Hung1, Nguyen Thu Trang2, Nguyen Thanh Thang2
1Faculty of Economics and Law, University of Finance-Marketing, Ho Chi Minh, Vietnam. hung.nt@ufm.edu.vn.
Abstract:
Environmental quality and economic activity have a strong relationship. Carbon emissions remain one of the world's most dangerous environmental issues. Both international and local governments are developing initiatives to address this problem. Capitalizing on the limitations of the existing literature, this article investigates the dynamic nexus of financial development, economic growth, and globalization on carbon dioxide emissions in Vietnam for 1990-2020 using the quantile-on-quantile regression. The findings unveil a positive feedback link between globalization and carbon dioxide emissions at the middle and high quantiles. In addition, there is a negative nexus between financial development and carbon emissions at most quantiles, while CO2 emissions and economic growth have a positive association at all quantiles. More importantly, our empirical results also provide the bidirectional causality between financial development, economic growth, globalization, and carbon dioxide emissions in Vietnam at different quantile levels. The consistency of the outcomes uncovers that the findings are trustworthy and appropriate for guiding policy to reduce CO2 emissions in Vietnam. Therefore, they can help policymakers understand how financial development and globalization can achieve sustainable economic growth and tackle environmental issues in this country.
Related Concept Videos
Global Climate Change
Sustainable Development
The Carbon Cycle
Calculating and Interpreting the Linear Correlation Coefficient
Coefficient of Variation
The coefficient of variation is a practical statistical tool in finance. It allows investors to assess the volatility or...
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:

