Economic development and carbon dioxide emissions in China: Provincial panel data analysis

Du, Limin; Wei, Chu; Cai, Shenghua

doi:10.1016/j.chieco.2012.02.004

Cited by 401 publications

(194 citation statements)

References 41 publications

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“…Due to the lack of anthropogenic CO 2 emissions statistics in China, we employed the normalized approach recommended by the Intergovernmental Panel on Climate Change (IPCC) in the IPCC Guidelines for assessing China's CO 2 emissions (Du et al, 2012). According to scientific reports, the burning of fossil fuels and industrial production (mainly through the production of cement) are the primary causes of increased anthropogenic CO 2 emissions.…”

Section: Estimating Co 2 Emissionsmentioning

confidence: 99%

The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China

Wang

Fang

et al. 2016

Science of The Total Environment

462

145

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Section: Estimating Co 2 Emissionsmentioning

confidence: 99%

The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China

Wang

Fang

et al. 2016

Science of The Total Environment

462

145

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“…He et al (2009) and Du et al (2012) (2011)(2012)(2013)(2014)(2015) declares that the government aims to reduce the share of coal consumption by about 3 percentage points. Under pressure to undertake further cuts in carbon emissions, it is reasonable to assume that the share of coal consumption in China will decline further over the period 2016-2020.…”

Section: Simulation the Cost Of China's Carbon Reductionmentioning

confidence: 99%

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Hanley

Wei

2015

Energy Economics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in EconStor may

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“…Although per capita carbon emissions of China are very low, China has been the biggest carbon emitter owing to the huge population size and rapid economic growth. Some studies argued that the carbon emissions reduction potential is large [29]. However, the empirical results of this paper indicate that the cost of carbon emissions abatement is very high and increases with time, which means it is very expensive for China to take green production technology.…”

Section: The Policy Implications For Chinamentioning

confidence: 58%

Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis

Wang

Zhang

et al. 2014

Sustainability

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This paper employs the quadratic directional output distance function to derive shadow prices of China's aggregate carbon emissions at the province level between 1997 and 2010. The empirical results indicate that the national weighted average shadow price presents an "N-shape" curve across the sample period, experiencing the initial phase of growth followed by a phase of deterioration, and then a further increase. This change trend implies that the cost of carbon emissions reduction is increasing. In addition, the shadow price varies significantly across provinces, which means that China should uphold the principal of "common but differentiated responsibilities" in regional carbon emissions reduction. Generally, the shadow price of the east provinces with high economic development is markedly higher than that of the west provinces with low economic development. The OLS regression results indicate that the shadow price positively connected with the regional economic development levels. Moreover, an inflection point exists in the relation curve between the shadow price and GDP per capita, that is, the increase rate of the shadow price becomes small when the GDP per capita is less than 18.1 thousand Yuan, while it becomes large when the GDP per capita surpasses 18.1 thousand Yuan. With the economic growth, the cost of carbon emissions reduction would be significantly increased. The empirical results can provide more insight for policymakers.

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Economic development and carbon dioxide emissions in China: Provincial panel data analysis

Cited by 401 publications

References 41 publications

The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China

The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China

Estimating the Marginal Abatement Cost Curve of CO2 Emissions in China: Provincial Panel Data Analysis

Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis

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