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Article

Scenario Prediction of Energy Consumption and CO2 Emissions in China’s Machinery Industry

by 1,* and 2
1
Collaborative Innovation Center for Energy Economics and Energy Policy, China Institute for Studies in Energy Policy, School of Management, Xiamen University, Xiamen 361005, China
2
China Center for Energy Economics Research, School of Economics, Xiamen University, Xiamen 361005, China
*
Author to whom correspondence should be addressed.
Academic Editor: Francesco Asdrubali
Received: 20 September 2016 / Revised: 27 December 2016 / Accepted: 30 December 2016 / Published: 12 January 2017
Energy conservation and CO2 abatement is currently an important development strategy for China. It is significant to analyze how to reduce energy consumption and CO2 emissions in China’s energy-intensive machinery industry. We not only employ a cointegration method and scenario analysis to predict the future energy demand and CO2 emissions in China’s machinery industry, but we also use the Monte Carlo simulation to test the validity of the predictions. The results show that energy demand in the industry will respectively reach 678.759 Mtce (million ton coal equivalent) in 2020 and 865.494 Mtce in 2025 under the baseline scenario. Compared with the baseline scenario, the energy savings in 2020 will respectively be 63.654 Mtce and 120.787 Mtce in the medium and advanced scenarios. Furthermore, we forecast the corresponding CO2 emissions as well as the reduction potential respectively in 2020 and 2025. In order to achieve energy conservation and emissions reduction, the government should increase energy price, levy environmental taxes based on the emissions level of machinery enterprises, promote mergers and acquisitions of enterprises, and expand the scale of enterprises. This paper provides a reference for energy conservation and CO2 abatement policy in China’s machinery industry. View Full-Text
Keywords: China’s machinery industry; energy conservation; cointegration; Monte Carlo simulation China’s machinery industry; energy conservation; cointegration; Monte Carlo simulation
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MDPI and ACS Style

Lin, B.; Liu, W. Scenario Prediction of Energy Consumption and CO2 Emissions in China’s Machinery Industry. Sustainability 2017, 9, 87. https://0-doi-org.brum.beds.ac.uk/10.3390/su9010087

AMA Style

Lin B, Liu W. Scenario Prediction of Energy Consumption and CO2 Emissions in China’s Machinery Industry. Sustainability. 2017; 9(1):87. https://0-doi-org.brum.beds.ac.uk/10.3390/su9010087

Chicago/Turabian Style

Lin, Boqiang, and Weisheng Liu. 2017. "Scenario Prediction of Energy Consumption and CO2 Emissions in China’s Machinery Industry" Sustainability 9, no. 1: 87. https://0-doi-org.brum.beds.ac.uk/10.3390/su9010087

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