期刊
JOURNAL OF CLEANER PRODUCTION
卷 180, 期 -, 页码 708-715出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.jclepro.2018.01.170
关键词
Energy intensity; China's heavy industry; Seemingly uncorrelated regression
资金
- Grant for Collaborative Innovation Center for Energy Economics and Energy Policy [1260-Z0210011]
- Xiamen University Flourish Plan Special Funding [1260-Y07200]
- China National Social Science Fund [17AZD013]
With rapid development and large scale urbanization, China's environmental and resource constraints are becoming increasingly severe. Compared to other industries, China's heavy industry is energy intensive and emission-intensive, which exerts pressure on energy conservation policies. In this paper, by establishing a theoretical model of the impact factors of energy intensity, we investigate the effects of energy prices, ownership structure, and industrial concentration and R&D investment on the energy intensity of China's heavy industry, and seemingly unrelated regression model was used in the estimation of corresponding coefficients. The results show that increase in energy prices, decrease in state-owned enterprises and increase in industrial concentration may reduce the energy intensity of the industry. Also, the study points to evidence that an increase in R&D investment may reduce the oil intensity of heavy industry. (C) 2018 Elsevier Ltd. All rights reserved.
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