scholarly journals Analysis of Factors Influencing Coal Prices Under the New Normal of China's Economy

2020 ◽  
Author(s):  
Yang LI ◽  
Haozhou CHENG ◽  
Yuqi REN ◽  
Kunpeng YANG

Abstract Background: After China's economy entered a new normal, the economic growth slowed down, energy market demand shrank, and the coal industry suffered from serious overcapacity. In this context, the Chinese government carried out supply-side structural reform and implemented a series of policies to cut overcapacity and destocking.Methods: By using time series data, this paper establishes vector error correction model, combined with Granger causality test and variance decomposition, to study the factors influencing coal prices under the new normal of economy. Results: The empirical results show that under the new normal of the economy, coal social inventory, oil production and natural gas production have a greater impact on the coal price, while coal consumption and raw coal production have a smaller impact on the coal price. According to the analysis, at the present stage, fossil energy, especially coal, occupies too high proportion in China's energy structure, which can no longer meet the requirements of energy use under the new normal of economy. Conclusion: According to the empirical results and analysis, the Chinese energy structure must be adjusted. In the short term, supply-side structural reform policies must be deepened to change the status quo of China's coal industry as soon as possible. In the long run, non-fossil energy technologies should be vigorously developed to provide stable and cheap non-fossil energy, thus reducing the use of fossil energy and increasing the use of non-fossil energy.

2021 ◽  
Vol 257 ◽  
pp. 02008
Author(s):  
Yin Zheng ◽  
Kun Yuan ◽  
Lei Dai

China is the largest producer and consumer of coal in the world. Qinhuangdao Port is not only the largest coal export port in the world, but also an important coal transportation hub in China. The study of the change of coal price in Qinhuangdao Port is of great significance to the study of the change of coal price in the whole country. In this paper, in order to avoid the large prediction error of a single prediction model, an ARIMA-SVM parallel combination model is constructed, and the appropriate weight ratio of ARIMA and SVM model is obtained by calculation, so as to obtain more reliable prediction results. The results show that the international competitiveness of the domestic coal market is insufficient, the coal trading system is incomplete and depends too much on coal resources. For this reason, the government should promote the adjustment of energy structure, improve the mode of transportation, actively improve the coal futures trading system, and realize the upgrading of coal industry.


2021 ◽  
Vol 13 (22) ◽  
pp. 12911
Author(s):  
Feng Wang ◽  
Jianxiong Wu ◽  
Min Wu ◽  
Wen Zheng ◽  
Danwen Huang

One of the goals of China’s supply-side structural reform is to improve total factor productivity (TFP). Considering the problems of environmental deterioration and income disparity faced by China, this paper first incorporates environmental pollution and income disparity as undesirable outputs into the TFP analysis framework, and extends the concept of inclusive green TFP (henceforth IGTFP).We measure and analyze the IGTFP in China’s provinces from 1995 to 2017 using the Malmquist–Luenberger index, and then examine, for the first time, the impacts of economic structural optimization in the supply-side structural reform on the IGTFP. The results are shown as follows. First, China’s national IGTFP index is significantly smaller than the traditional TFP index. That is, the traditional TFP without the constraints of environmental pollution and income disparity overestimates China’s real TFP. Second, there are significant regional differences in China’s IGTFP, the average annual growth rate of IGTFP shows a gradual downward trend from east to west. This would further exacerbate the regional imbalance in China’s economic development. Third, among the structural factors in economic structure optimization, industrial structure and energy structure are negatively correlated with the IGTFP, while factor structure, labor structure and urban–rural structure are all positively correlated with the IGTFP. These results imply that the economic structure optimization driven by supply-side structural reform will improve China’s IGTFP.


2018 ◽  
Author(s):  
Sangbaek Hyun ◽  
Min Suk Park ◽  
Jinhee Pak ◽  
Koun Cho ◽  
Furong Jin

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