Exploring the Nexus of Energy Consumption Structure and CO2 Emissions in China: Empirical Evidence Based on the Translog Production Function
Yu Hao 1, 2  
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Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing, P.R. China
Collaborative Innovation Center of Electric Vehicles in Beijing, Beijing, P.R. China
Sustainable Development Research Institute for Economy and Society of Beijing, Beijing, P.R. China
Beijing Key Lab of Energy Economics and Environmental Management, Beijing, P.R. China
School of Management and Economics, Beijing Institute of Technology, Beijing, P.R. China
Online publish date: 2018-06-25
Publish date: 2018-07-09
Submission date: 2017-09-12
Final revision date: 2017-11-25
Acceptance date: 2017-12-07
Pol. J. Environ. Stud. 2018;27(6):2541–2551
With the rapid development of China’s economy, CO2 emissions have surged and environmental pollution has become increasingly serious, drawing broad attention domestically and overseas. To improve China’s environmental quality, the Chinese government has set a series of ambitious goals to control carbon intensity and even cut total CO2 emissions. China’s energy consumption structure relies heavily on coal, which is the largest contributor to CO2 emissions in China. However, so far research on the relationship between energy consumption structure and CO2 emissions in China remains scarce. This paper investigates this topic for the first time and calculates the input-output and alternative elasticities and impacts the energy consumption structure on carbon emissions per capita on the basis of the translog production function as the theoretical framework. The empirical results suggest that to substitute coal with oil or gas may decrease CO2 emissions significantly, and replacing coal with gas is the optimal choice. As such, improving China’s energy structure by increasing the share of gas and decreasing the
Yu Hao   
Beijing Institute of Technology, Room 509, School of Management and Economics, Beijing Institute of Technology, 100081 Beijing, China