2020
DOI: 10.1016/j.reseneeco.2019.101124
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Who benefits from China’s coal subsidy policies? A computable partial equilibrium analysis

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Cited by 16 publications
(4 citation statements)
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“…With the caveat that subsidy estimates are uncertain and highly aggregated, recent estimates place overall production subsidies at CNY 17-18 per tonne of coal [70], implying a CNY 350-375 billion production subsidy to the approximately 2.08 billion tonnes of coal consumed by thermal plants in 2021. Annual generation subsidies for coal power are estimated at CNY 120 billion [71] to CNY 263 billion [72] (although, in the latter case, the bulk of these subsidies were expected at the time of writing to be eliminated by 2020 amid the end of funding for pollution control upgrades and deregulation of price controls).…”
Section: Estimating Taxes and Subsidiesmentioning
confidence: 99%
“…With the caveat that subsidy estimates are uncertain and highly aggregated, recent estimates place overall production subsidies at CNY 17-18 per tonne of coal [70], implying a CNY 350-375 billion production subsidy to the approximately 2.08 billion tonnes of coal consumed by thermal plants in 2021. Annual generation subsidies for coal power are estimated at CNY 120 billion [71] to CNY 263 billion [72] (although, in the latter case, the bulk of these subsidies were expected at the time of writing to be eliminated by 2020 amid the end of funding for pollution control upgrades and deregulation of price controls).…”
Section: Estimating Taxes and Subsidiesmentioning
confidence: 99%
“…In terms of government failure, existing studies have found that government intervention and government spending can lead to pollutant emissions and overcapacity (Işik et al 2022 ; Zhang et al 2017 ). Specifically, government subsidy (Wang et al 2018b ; Xiang and Kuang 2020 ; Yu et al 2021 ; Zhang et al 2016 ) and credit support (Ma et al 2020 ) are the main factors. Because the mature market mechanism has not been established, studying the causes of overcapacity from the perspective of government intervention is more in line with China’s national conditions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…These models are applied to capture the impact of changing trends in technological energy, climate, productivity etc. (Carbone et al, 2020; Farajzadeh & Bakhshoodeh, 2015; Jiang et al, 2020; Kim et al, 2004; Lisenkova et al, 2013; Mostert & Van Heerden, 2015; Niamir et al, 2020; O’Ryan et al, 2020; Rokicki et al, 2020; Xiang & Kuang, 2020). They focus more on market variables and help in a more informed judgement about the potential implications of future policies and trends (Akbulut & Eğen, 2020; Dellink et al, 2020; Itakura, 2020; McKibbin & Fernando, 2020; Strutt et al, 2015; Strutt & Walmsley, 2011).…”
Section: Modelling Framework and Simulation Settingmentioning
confidence: 99%