Exploring the Changes of Carbon Emissions Performance Using Data Envelopment Analysis

Abstract:

This paper measures the carbon emissions efficiency by using data envelopment analysis. The gross domestic product and carbon emissions are the two outputs, and labor, energy consumption and capital stock are the three inputs in our DEA model. We decompose changes of carbon emissions performance into two contributors: the carbon emissions technical efficiency change and the carbon emissions technical change. For the developing countries mentioned in this paper as a whole, the empirical results indicate that the carbon emissions technical efficiency change is the contributor to carbon emissions performance increase, while the carbon emissions technique change is the component driving carbon emissions performance decrease during 1983-2003. However, the carbon emissions technical efficiency change is the contributor to carbon emissions performance decrease, while the carbon emissions technical change is the driving force to carbon emissions performance increase during 2003-2008.

• Periodical: Applied Mechanics and Materials (Volumes 291-294)
• Pages: 1433-1438
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.291-294.1433
• Online since: February 2013
• Authors: Qin Liang Tan, Xing Ping Zhang, Yong Mei Wei
• Keywords: Carbon Emission (CE), Data Envelopment Analysis (DEA), Distance Function, Malmquist Index

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