Forecasting the Allocative Efficiency of Carbon Emission Allowance Financial Assets in China at the Provincial Level in 2020

• Main Authors: Shihong Zeng, Yan Xu, Liming Wang, Jiuying Chen, Qirong Li
• Format: Article
• Language: English
• Published: MDPI AG 2016-05-01
• Series: Energies
• Subjects: carbon emission allowance; non-fossil fuels; efficiency; zero sum gains data envelopment analysis (ZSG-DEA); iteration
• Online Access: http://www.mdpi.com/1996-1073/9/5/329

As the result of climate change and deteriorating global environmental quality, nations are under pressure to reduce their emissions of greenhouse gases per unit of GDP. China has announced that it is aiming not only to reduce carbon emission per unit of GDP, but also to consume increased amounts of non-fossil energy. The carbon emission allowance is a new type of financial asset in each Chinese province and city that also affects individual firms. This paper attempts to examine the allocative efficiency of carbon emission reduction and non-fossil energy consumption by employing a zero sum gains data envelopment analysis (ZSG-DEA) model, given the premise of fixed CO2 emissions as well as non-fossil energy consumption. In making its forecasts, the paper optimizes allocative efficiency in 2020 using 2010 economic and carbon emission data from 30 provinces and cities across China as its baseline. An efficient allocation scheme is achieved for all the provinces and cities using the ZSG-DEA model through five iterative calculations.