China’s farewell to coal: A forecast of coal consumption through 2020

Hao, Yu; Zhang, Zongyong; Liao, Hua; Wei, Yi‐Ming

doi:10.1016/j.enpol.2015.07.023

Cited by 142 publications

(48 citation statements)

References 71 publications

(88 reference statements)

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“…However, most important of all, with the roaring development of China's industry for the past three decades, coal consumption in China accounted for 50% of the world's total coal consumption by 2012, as high as 1.63 billion tons of oil equivalent [48]. Coal-intensive industries (e.g., iron and steel) are concentrated in northern China including Shandong and especially Hebei [49]. As a result, during the first half year of 2013, seven of the top ten polluted cities in China were within Hebei, and what is more, three cities in southern Hebei including Shijiazhuang were the top three polluted cities [17] We used ground PM2.5 measurement, VIIRS AOT product, and MODIS AOT product in particular to evaluate the impact of emission control measures on aerosol pollutants during the three APEC-related periods.…”

Section: Discussionmentioning

confidence: 99%

Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures

et al. 2015

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During the 2014 Asia-Pacific Economic Cooperation (APEC) Economic Leaders' Meetings in Beijing, the Chinese government made significant efforts to clear Beijing's sky. The emission control measures were very effective and the improved air quality during the APEC Meetings was called the "APEC Blue". To monitor and estimate how these emission control measures affected air quality in Beijing and its five neighboring large cities (Tianjin, Shijiazhuang, Tangshan, Jinan, and Qingdao), we compared and analyzed the satellite-retrieved Aerosol Optical Thickness (AOT) products of the pre-APEC (18-31 October), APEC (1-11 November), and post-APEC periods [2002][2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013][2014] indicated that the potential emission source regions strongly impacting air quality of Beijing were confined within central and southern Hebei as well as northern and southwestern Shandong, in correspondence with the spatial pattern of Digital Earth Model (DEM) of the study region. In addition to stringent emission control measures, back trajectory analysis indicated that the relatively favorable regional transport pattern might also have contributed to the "APEC Blue" in Beijing. These results suggest that the "APEC Blue" is a temporarily regional phenomenon; a long-term improvement of air quality in Beijing is still challenging and joint efforts of the whole region are needed.

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Section: Discussionmentioning

confidence: 99%

Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures

et al. 2015

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“…Therefore, overcapacity always brought about vicious competition, severe waste of resources, imbalance between supply and demand, plunging coal prices and overall financial loss of coal enterprises [13]. If this problem cannot be solved in a timely and effective manner, it will not only affect the high-quality development of the coal industry, but also hinder the optimisation of China's energy structure and the prosperity and stability of the national economy [14,15]. Correct identification of the causes is the prerequisite and basis for addressing overcapacity.…”

Section: Excess Capacity and Its Causesmentioning

confidence: 99%

De-Capacity Policy Effect on China’s Coal Industry

et al. 2019

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Overcapacity in China's coal industry has serious negative impacts on the rational allocation of coal resources and stable operation of the national economy. Since 2016, the Chinese government has implemented a series of de-capacity policies to optimise coal production capacity. Timely policy effect assessment is of great significance to the government to guide high-quality development of the coal industry. This paper first reviews the dilemma encountered by China's coal industry prior to 2016, and then analyses the progress and effect of coal industry de-capacity. The main results are as follows: (1) The capacity reduction is mainly distributed in the central and southwestern regions. Most of the coal mines are state-owned, and there is a prominent worker resettlement problem.(2) The capacity optimisation policy has accelerated the implementation of the overall spatial planning of China's coal supply. China's coal production centre has shifted from the central and eastern regions to the west, and the industry's high-quality development pattern has taken shape.(3) China's coal industrial profitability has constantly been improving, industry concentration has increased significantly, and coal mining has become safer. (4) Due to the regional heterogeneity, the de-capacity policy effect has significant differences in coal production capacity and employee reduction in various regions. Finally, regarding the optimisation of China's coal production capacity, some policy implications are given.

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“…Therefore, the proportion of the coal consumption share of the total energy consumption is used as a substitution variable of energy structure [60]. Actually, previous studies found that certain relationship between coal consumption and regional GDP may exist in the process of economic development [61,62] and thus coal consumption share could be calculated based on that connection. Therefore, quarterly data of the coal consumption of Jiangsu are calculated through the proportion of the quarterly GDP account for annual data by the yearly coal consumption of Jiangsu.…”

Section: Data Sourcesmentioning

confidence: 99%

Impact of Energy Consumption on Air Quality in Jiangsu Province of China

Zhong

Yin

et al. 2018

Sustainability

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Air quality has become an important sustainability concern for China's highly developed economic regions. Taking Jiangsu Province as a case, this study investigates the effect of energy consumption on air quality when both considering and not considering control variables, such as industrial structure, energy consumption structure and energy efficiency from 2006 to 2015 and further explores the influence of the related policies on air quality and the relationship between energy consumption and air quality. One important finding is that the relationship between energy consumption and the air quality index of Jiangsu Province shows a U-shaped curve and it is now in the increasing part of the curve, which reveals the effectiveness of controlling energy consumption in improving air quality. Another important finding is that, when considering the effect of related polices, there is still a U-shaped curve relationship between energy consumption and air quality index, with the opening of curve becoming bigger and the influence of energy consumption on air quality becoming more obvious. Moreover, although air quality is improved whether considering policies separately or together, the effect of combined policies is better than is the effect of a separate policy. This not only reflects the effectiveness of related polices but also shows the importance of policy coordination. Furthermore, a 1% optimization of industrial structure inhibits air quality index by 0.0054%, while the relationship of energy efficiency and energy consumption structure with air quality is inconsistent with theoretical analysis. This implies that, in practice, there is still room for improvement in both energy saving and emission reduction and even in air quality improvement. This study may help the stakeholders, whether from Jiangsu Province, other provinces in China or other countries at the global level, identify the impacts of energy consumption on air quality and formulate effective energy saving and air quality improvement policies in conjunction with their economic characteristics.

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China’s farewell to coal: A forecast of coal consumption through 2020

Cited by 142 publications

References 71 publications

Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures

Analysis of the 2014 “APEC Blue” in Beijing Using More than One Decade of Satellite Observations: Lessons Learned from Radical Emission Control Measures

De-Capacity Policy Effect on China’s Coal Industry

Impact of Energy Consumption on Air Quality in Jiangsu Province of China

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