Regional allocation of carbon dioxide abatement in China

Wei, Chu; Ni, Jinlan; Du, Limin

doi:10.1016/j.chieco.2011.06.002

Cited by 231 publications

(103 citation statements)

References 42 publications

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“…Choi found the average shadow price of $7.2/ton for China's 30 provinces during 2001-2010 [17]. Wei argued that the average marginal abatement cost of carbon dioxide emissions was 114.1 Yuan/ton during the period 1995-2007, while this paper derived a national average abatement cost of 475 Yuan/ton during the period 1997-2010 [28]. However, this does not mean our results contradict these studies.…”

Section: The Analysis Of Resultscontrasting

confidence: 56%

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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Section: The Analysis Of Resultscontrasting

confidence: 56%

Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis

Wang

Zhang

et al. 2014

Sustainability

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“…Birgit Friedl [31] explored the relationship between economic growth and carbon dioxide emissions in Austria. Taking China as an example, Wei et al [32] considered emissions abatement across China. Yang et al [33] analyzed the allocation of carbon intensity reduction targets by 2020, as applied to different industrial sectors in China.…”

Section: Literature Reviewmentioning

confidence: 99%

An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China

Zhu

2017

Sustainability

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Abstract:The transport sector is the major green-house gas emitter and most rapidly growing sector in terms of consuming energy in China. Understanding the driving forces behind carbon emission is a prerequisite for reducing carbon emissions and finding a balance between economic growth and carbon emissions. The purpose of this paper is to identify the impact of the factors which influence the level of carbon emissions from the transportation sector in the Beijing-Tianjin-Hebei (BTH) area, China, using decomposition model, combined with a decoupling elasticity index. The results of our study indicate that: (1) changes in the level of carbon emissions from the transportation sector are not always synchronized with changes in economic growth. (2) The decoupling state between the carbon emissions and economic growth of Tianjin and Beijing can be roughly divided into two phases. The first phase was during the 2005 to 2009 period, when the decoupling state was pessimistic. The second phase was from 2009 to 2013, when the decoupling state became better overall and was mainly dominated by weak decoupling. Conversely, the decoupling state of Hebei was mainly weak during this period. (3) Economic growth and population size play positive roles in increasing the levels of transportation-related carbon emissions in BTH. However, the energy structure is a negative force. The effect of energy intensity always plays a negative role in Tianjin and Hebei, but positive in Beijing. The industrial structure effect shows a fluctuating trend, but the cumulative effect value is negative, and negative interaction is prominent. Finally, this paper gives some suggestions on how to develop low-carbon transport in BTH area.

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“…(12) can be generalized to combine different indicators which inform emissions-intensity targets into an aggregate reduction index. Indicators other than the emissions-based ones used in this study may include economic ones, such as per-capita GDP, or temporal ones, such as historical emissions (Yi et al 2011;Wei et al 2011). The general form of a composite indicator is then:…”

Section: Shared Responsibility For Emission-intensity Reductionsmentioning

confidence: 99%

“…For example, Wei et al (2011) have constructed an abatement capacity index based on weighted equity and efficiency indices. Based on time series data from 1995 to 2007, the equity index includes per-capita CO 2 emissions and per-capita GDP, while the efficiency index includes regional emissions intensity and marginal-abatement costs.…”

Section: Previous Approaches For Target Allocationmentioning

confidence: 99%

Consumption-Based Adjustment of Emissions-Intensity Targets: An Economic Analysis for China’s Provinces

Springmann

Zhang

Karplus

2014

Environ Resource Econ

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China's Twelfth Five-Year Plan (2011-2015 aims to achieve a national carbon intensity reduction of 17 % through differentiated targets at the provincial level. Allocating the national target among China's provinces is complicated by the fact that more than half of China's national carbon emissions are embodied in interprovincial trade, with the relatively developed eastern provinces relying on the center and west for energy-intensive imports. This study develops a consistent methodology to adjust regional emissions-intensity targets for trade-related emissions transfers and assesses its economic effects on China's provinces using a regional computable-general-equilibrium (CGE) model of the Chinese economy. This study finds that in 2007 China's eastern provinces outsource 14 % of their territorial emissions to the central and western provinces. Adjusting the provincial targets for those emissions transfers increases the reduction burden for the eastern provinces by 60 %, while alleviating the burden for the central and western provinces by 50 % each. The CGE analysis indicates that this adjustment could double China's national welfare loss compared to the homogenous and politics-based distribution of reduction targets. A shared-responsibility approach that balances production-based and consumption-based emissions responsibilities is found to alleviate those unbalancing effects and lead to a more equal distribution of economic burden among China's provinces. M. Springmann (B)

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Regional allocation of carbon dioxide abatement in China

Cited by 231 publications

References 42 publications

Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis

Carbon Emissions Abatement Cost in China: Provincial Panel Data Analysis

An Analysis of Decoupling and Influencing Factors of Carbon Emissions from the Transportation Sector in the Beijing-Tianjin-Hebei Area, China

Consumption-Based Adjustment of Emissions-Intensity Targets: An Economic Analysis for China’s Provinces

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