Coal consumption and economic growth: A Chinese city-level study

Chen, Hanyi; Liu, Kui; Shi, Tie; Wang, Linfeng

doi:10.1016/j.eneco.2022.105940

Cited by 27 publications

(3 citation statements)

References 37 publications

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“…Cities in the southeast coastal area (such as Secondly, it can be seen in Figure 5 that the LCC performance rankings of the cities which have different socioeconomic contexts have been adjusted after applying the correction factor. The cities located in north China are traditionally either heavy industry-based (such as Harbin, Changchun, and Shenyang) [45,46] or coal industry-based (such as Taiyuan, Yinchuan, Huhhot, and Urumqi) [47]. They will naturally generate more carbon emissions when conducting their economy-driving activities, and their ranking performance will be lower with traditional assessment methods.…”

Section: The Effect and Significance Of Correction Factormentioning

confidence: 99%

Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance

Liao,

Shen,

Chen

et al. 2024

Land

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Performance assessment of low carbon cities (LCCs) attracts great interest and attention from academia, industry, and government as an effective measure to promote urban low-carbon development. However, the efforts of LCCs could be misinterpreted without consideration of the fact that cities with different endowments face different challenges and assume different responsibilities, thus it is important that this fact is considered in assessing LCCs’ performance. This study develops the previous study by the research team, “dual perspective diagnosis method for assessing LCC performance”, by introducing a correction factor to take into account the impacts of local endowments and mitigate the ‘one-size-fits-all’ phenomenon when comparing LCC assessments between cities. The empirical case study presented in the paper indicates that the adoption of a correction factor has improved the accuracy of the assessment results by demonstrating actual management efforts in developing LCC performance. It is proposed that applying the correction factor can help to achieve more accurate assessments of the status of low-carbon city practice, based on which more effective low-carbon policies can be designed and implemented towards achieving carbon peaking and carbon neutrality goals.

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Section: The Effect and Significance Of Correction Factormentioning

confidence: 99%

Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance

Liao,

Shen,

Chen

et al. 2024

Land

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show abstract

“…According to the traditional retrospective framework of economic voting, rising energy prices can affect voters both directly and indirectly. The indirect mechanism is imperative because all activity in some form, including economic activity, is dependent on energy consumption (see Chen et al, 2022;Huntington and Liddle, 2022;Kraft and Kraft, 1978). However, growth in energy prices affects different economies in various ways.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

Power Politics: How Electric Grievances Shape Election Outcomes

BrÃ¤nnlund¹,

Peterson²

2022

SSRN Journal

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“…China is the world's largest coal producer and consumer and also accounts for nearly 30% of global energy-related CO 2 emissions due to its heavy reliance on coal (Chen et al, 2022). Mercury is a highly toxic element that exists in the organic and inorganic components of coal.…”

Section: Introductionmentioning

confidence: 99%

Content and distribution of mercury in coal and its relation to depositional environment—A case study on coals from the Shanxi Formation in Huainan Coalfield

et al. 2023

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Mercury in coals might emit into the environment from coal combination, and finally cause environmental pollution. In this paper, 26 coal samples were selected from No. 1 which is coal in the Shanxi Formation of Zhangji and Xinjier mines in the Huainan coalfield. The mineralogical and geochemical components of coal samples were determined by DMA-80 mercury-measuring instrument, XRF, XRD, ICP-MS, and the relationship between the depositional environment of the coal seam and mercury enrichment was analyzed. The results show that the mercury content of coal in the study area ranged from 0.03 to 0.93 μg/g, with an arithmetic means of 0.21 μg/g, higher than the background values of coal in China and the world. The mercury content of Shanxi Formation coal varied among different mines, the arithmetic mean value of mercury in Zhangji coal mine and Xinjier mine coal is 0.35 μg/g and 0.12 μg/g respectively. Due to the complex depositional environment and depositional facies, the distribution of mercury content in the coal seam is quite different. XRD, Microscopic observation and the ratio of (CaO + MgO + Fe2O3)/(SiO2+ Al2O3) and Al2O3/TiO2 show that the main mineral in the depositional environment of this study area is kaolinite, quartz and pyrite, and the depositional facies are intercontinental and sea-land, so the parent rock type belongs to acid bedrock. The Ni/Co, Sr/Ba, and Sr/Cu ratios were used to indicate a weak oxidation-reduction, Marine salt water, and an arid and hot environment. The vertical distribution of mercury in coal and the characteristics of the depositional environment are combined to show that mercury in coal is easily affected by redox conditions, paleosalinity and paleoclimate in the depositional environment. At the same time, mercury accumulation is more easily in the depositional environment dominated by seawater intrusion than in the terrigenous input.

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Coal consumption and economic growth: A Chinese city-level study

Cited by 27 publications

References 37 publications

Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance

Correction Factor for Mitigating the ‘One-Size-Fits-All’ Phenomenon in Assessing Low-Carbon City Performance

Power Politics: How Electric Grievances Shape Election Outcomes

Content and distribution of mercury in coal and its relation to depositional environment—A case study on coals from the Shanxi Formation in Huainan Coalfield

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