Economic Growth, Energy Intensity, and Carbon Dioxide Emissions in China
Eric Yaw Naminse 1  
,  
 
 
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1
School of Management, Jiangsu University, Zhenjiang, P.R. China
2
School of Economics and Management, Qinzhou University, Guangxi, P.R. China
Online publish date: 2018-04-13
Publish date: 2018-05-30
Submission date: 2017-09-17
Final revision date: 2017-10-14
Acceptance date: 2017-10-14
 
Pol. J. Environ. Stud. 2018;27(5):2193–2201
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ABSTRACT:
With China’s rapid economic growth over the past three decades, the emission of greenhouse gases (GHG) has become more serious to the environment, with debilitating effects on both flora and fauna. This paper mainly investigates the relationship among economic growth, energy intensity, and CO2 emission in China using static and dynamic regressions, Granger causality, and impulse response function. The results show that by comparing the values of different energy intensities, coal consumption is the highest with mean value of 4.296, which is followed by oil (0.817), electricity (0.226), and gas (0.098). Thus, China’s heavy reliance on coal consumption is possibly a dominant cause for the increase in carbon dioxide emissions. The results also indicate that CO2 emissions have an inverted U-shaped link with per capita income, and this supports the existence of the environmental Kuznets curve (EKC) hypothesis in China. Furthermore, economic growth has a bidirectional relationship with coal energy consumption, while coal consumption also has a bidirectional link with CO2 emissions. Based on the findings, we suggest that environmental technologies should be improved through efficiency-enhancing strategies to reduce CO2 emissions. Finally, China’s Ministry of Environmental Protection should strictly enforce existing laws and regulations on the environment, and also encourage a shift from the use of fossil fuels to clean energy sources such as ethanol gas, as well as promote the use of eco-friendly vehicles such as electric cars and motors.
CORRESPONDING AUTHOR:
Eric Yaw Naminse   
Jiangsu University, 301 Xuefu Road, Zhenjiang 212013, 0086 Zhenjiang, China
eISSN:2083-5906
ISSN:1230-1485