Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure

Choi, Yongrok; Zhang, Ning; Zhou, P.

doi:10.1016/j.apenergy.2012.03.024

Cited by 523 publications

(241 citation statements)

References 39 publications

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“…Previous studies related to the environment and energy issue such as [30,34,41] and Chang [42] also use a similar combination of input and output variables. The data source is the website of the World Bank, and the data period is from 2000 to 2011.…”

Section: Data Descriptionmentioning

confidence: 99%

Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS

Chang

Chen

2016

Sustainability

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Abstract:Energy is a critical factor of economic growth, but the overuse of it results in global warming and climate change. Hence, energy efficiency improvement can help mitigate climate change and prevent economic losses or even ecological extinction. The data envelopment analysis (DEA) approach has been extensively applied for energy efficiency estimation, but past studies of this estimation employ a static mode that does not consider consecutive periods and the carry-over effect. This study estimates energy efficiency under a weight-restricted dynamic DEA (WrD-DEA) model, creates a weight-restricted dynamic energy efficiency (WrD-EE) indicator, and discusses issues concerning the energy decoupling rate and decarbonization. We utilize members in the Group of Seven (G7) and BRICS (Brazil, China, India, Russia, and South Africa) for our experimental observations. The main results herein are: (1) BRICS has larger room for improvement to achieve the standard ratio of the energy decoupling rate than the G7; (2) the G7 and BRICS do not converge to decarbonization; and (3) BRICS exhibits more rapid improvement on energy efficiency than the G7.

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Section: Data Descriptionmentioning

confidence: 99%

Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS

Chang

Chen

2016

Sustainability

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“…DEA estimation is based on linear programming, and it aims to construct a piecewise linear combination of all observed inputs and outputs. Examples include Boyd et al (2002), Kaneko et al (2010), Lee et al (2002), Maradan and Vassiliev (2005) and Choi et al (2012) etc. The major advantage of the DEA approach is that it does not need to impose a specific functional form on the underlying technology (Zhang and Choi, 2014) 4 .…”

Section: Supply-side/production-based Maccmentioning

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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“…After obtaining the parameters of distance function, we can calculate the shadow prices according to Equation (17). Given the normalized data, we multiply by the ratio of the mean value of y to the mean value of b in order to inflate the ratio of the derivatives of the directional output distance function [12].…”

Section: The Analysis Of Resultsmentioning

confidence: 99%

“…One desirable output (y), one undesirable output (b) and three inputs (x) are selected to observe China's 30 provinces from 1997 to 2010 [25,26]. Therefore, the specific parametric quadratic function form is defined as (16) According to the formula (13), the calculation of shadow prices is shown in Equation (17) …”

Section: The Quadratic Distance Function Formmentioning

confidence: 99%

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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Efficiency and abatement costs of energy-related CO2 emissions in China: A slacks-based efficiency measure

Cited by 523 publications

References 39 publications

Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS

Progressive Time-Weighted Dynamic Energy Efficiency, Energy Decoupling Rate, and Decarbonization: An Empirical Study on G7 and BRICS

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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