Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA

Guo, Xiaodan; Zhu, Lei; Fan, Ying; Xie, Bai-Chen

doi:10.1016/j.enpol.2011.01.055

Cited by 216 publications

(81 citation statements)

References 20 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%

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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%

“…Fossil energy is one of the production factors that produce not only desirable outputs, but also undesirable outputs such as CO 2 emissions [30]. Hence, the estimation of energy efficiency is necessary to consider undesirable output in a production framework.…”

Section: Introductionmentioning

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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“…Most of them concentrated in the regions of China (Watanabe and Tanaka, 2007;Bian and Yang, 2010;Guo et al, 2011;Shi et al, 2010;Wang et al, 2012). In addition Mandal and Madheswaran (2010) measured regional environmental efficiency for 20 Indian states in terms of cement production, whereas Macpherson et al (2010) In our analysis we are using regional data collected from two different regional databases (EUROSTAT 9 and OECD 10 ) for the year 2007.…”

Section: Data and Variablesmentioning

confidence: 99%

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Halkos

Tzeremes

2013

European Journal of Operational Research

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“…According to Zhou et al [40], we further specify the environmental production technology for J DMUs in Equation (2), by assuming that the production technology exhibits constant returns to scale [25,41].…”

Section: Environmental Production Technologymentioning

confidence: 99%

Analysis of CO2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China

2016

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Abstract:As the main source of CO 2 emissions in China, the industrial sector has faced pressure for reducing emissions. To achieve the target of 50% reduction of industrial carbon intensity by 2020 based on the 2005 level, it is urgent to formulate specific CO 2 emission mitigation strategies in the provincial industrial sector. In order to provide decision-making support for the development and implementation of mitigation policy, our undesirable slack based measure (SBM) model is firstly applied to evaluate the industrial CO 2 emission efficiency under total-factor frame (TFICEE) in 13 prefecture-level cities of Jiangsu Province, the largest CO 2 emitter in China. Then, we analyze space-time distribution and distributional evolution tendency of TFICEE by using the GIS visualization method and kernel density estimation, respectively. Finally, we utilize the industrial abatement model to estimate the CO 2 abatement potential of Jiangsu's industrial sector. The empirical results show that there exists a significant spatial inequality of TFICEE across various regions in Jiangsu, but the regional disparity has been narrowing during our study period. Additionally, average annual industrial CO 2 emission reductions in Jiangsu Province can attain 15,654.00 (ten thousand tons), accounting for 28.2% of its average annual actual emissions, which can be achieved by improving production technology, adjusting industrial structure and raising the level of industry concentration.

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Evaluation of potential reductions in carbon emissions in Chinese provinces based on environmental DEA

Cited by 216 publications

References 20 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

A conditional directional distance function approach for measuring regional environmental efficiency: Evidence from UK regions

Analysis of CO2 Emission Performance and Abatement Potential for Municipal Industrial Sectors in Jiangsu, China

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