On estimating shadow prices of undesirable outputs with efficiency models: A literature review

Zhou, P.; Zhou, Xun; Fan, Liu

doi:10.1016/j.apenergy.2014.02.049

Cited by 194 publications

(94 citation statements)

References 55 publications

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“…Based on former studies and the transfer property [11,30], we selected a quadratic function form to parameterize the directional distance function. Quadratic function of output directional distance function is depicted in Equation (3):…”

Section: Directional Distance Functionmentioning

confidence: 99%

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Marginal Abatement Cost of CO2 in China Based on Directional Distance Function: An Industry Perspective

Xiao

Niu

et al. 2017

Sustainability

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Industrial sectors account for around 70% of the total energy-related CO 2 emissions in China. It is of great importance to measure the potential for CO 2 emissions reduction and calculate the carbon price in industrial sectors covered in the Emissions Trading Scheme and carbon tax. This paper employs the directional distance function to calculate the marginal abatement costs of CO 2 emissions during 2005-2011 and makes a comparative analysis between our study and the relevant literature. Our empirical results show that the marginal abatement costs vary greatly from industry to industry: high marginal abatement costs occur in industries with low carbon intensity, and vice versa. In the application of the marginal abatement cost, the abatement distribution scheme with minimum cost is established under different abatement targets. The conclusions of abatement distribution scheme indicate that those heavy industries with low MACs and high carbon intensity should take more responsibility for emissions reduction and vice versa. Finally, the policy implications for marginal abatement cost are provided.

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Section: Directional Distance Functionmentioning

confidence: 99%

“…Marginal abatement cost has recently become a standard policy tool in assessing climate change mitigation schemes [11,12]. Estimating the MAC of CO 2 in some industrial sectors in China can provide valuable information for enterprises to optimize the carbon abatement strategies [13].…”

Section: Introductionmentioning

confidence: 99%

Marginal Abatement Cost of CO2 in China Based on Directional Distance Function: An Industry Perspective

Xiao

Niu

et al. 2017

Sustainability

View full text Add to dashboard Cite

show abstract

“…At present, there were mainly three types of methods for calculating carbon emission reduction cost as bottom-up model, top-down model and mixed model, mainly included the dynamic optimization model [32,33], input-output analysis [34], computable general equilibrium model, mixed model [35,36] and efficiency analysis model [37], and so on. We focused on the relevant literature based on the efficiency analysis model since we also used it in this paper.…”

Section: Literature Reviewmentioning

confidence: 99%

Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model

2017

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Firstly, we introduce the "Zero Sum Gains" game theory into the SBM (Slacks-based Measure) model, and establish the ZSG-SBM model. Then, set up 4 development scenarios for the China's economic system in "13·5" (The Chinese government formulates a Five-Year Planning for national economic and social development every five years, "13·5" means 2016 to 2020.) period through two dimensions as economic growth and energy consumption structure, and make the efficient allocation in provincial level of carbon reduction target by using the above ZSG-SBM model based on the China's overall carbon reduction constraint (18%) which is set in "13·5" planning. Finally, we analyze the provincial development path of low-carbon economy by comparing the economic development status with the allocated result of carbon reduction target. Results show that: After the ZSG-SBM model being applied to the efficiency allocation of carbon emission, the input and output indicators of the 30 provinces realize the effective allocation, and the carbon emission efficiency reaches the efficiency frontier. The equity-oriented administrative allocation scheme of government will bring about efficiency loss in a certain degree, and the efficiency allocation scheme, based on the ZSG-SBM model, fits better with the long-term development requirement of low-carbon economy. On the basis of carbon intensity constraint, the re-constraint of energy intensity will force the provinces to optimize their energy consumption structure, thereby enhancing the overall carbon emission efficiency of China. Sixteen provinces' allocation results of carbon reduction target are above China's average (18%) in "13·5" period, all the provinces should select appropriate development path of low-carbon economy according to the status of their resource endowment, economic level, industrial structure and energy consumption structure.

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Section: Introductionmentioning

confidence: 99%

“…From the perspective of energy efficiency, Zhou et al [2], Yang et al [3], Wang et al [4] and Zhang et al [5] investigated how to save energy and reduce CO 2 emissions by improve energy efficiency. From the perspective of key factors, Wang et al [6] and Li et al [7] tried to find out key factors that affect CO 2 emissions, then put forward corresponding energy saving and emission reducing measures. From the perspective of industry, Lin et al [8], Li et al [9], Mi et al [10], Zhang et al [11] , Xiang et al [12], Xiao et al [13] and Chi et al [14] attempted to find out key industries or enterprises in energy saving and emission reduction.…”

Section: Introductionmentioning

confidence: 99%

Measuring the Interprovincial CO2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives

2016

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How to accurately measure the interprovincial CO 2 emissions is key to achieving the task of energy saving and emission reduction. Electric power is very important for economy development. At the same time, the amount of interprovincial electric power dispatching is very large in China, so it is obligatory to measure the CO 2 emissions from both electricity production and consumption perspectives. We have measured China's interprovincial CO 2 emissions from fossil fuel combustion during 2000-2014, in which the revised regional electric power CO 2 emissions are used to adjust interprovincial CO 2 emissions. The obtained results show that: no matter from which perspective one considers the situation, the overall CO 2 emissions of China are almost the same amount. From different perspectives, the interprovincial CO 2 emissions are different. In terms of the production perspective, CO 2 emissions of Beijing, Hebei, Shandong, Shanghai, Jiangsu, Zhejiang and Guangdong are underestimated. However, Shanxi, Inner Mongolia, Hubei, Sichuan, Guizhou, and Shaanxi are overestimated. If the electric power dispatching is not considered, it is unfairly portrayed as transferring CO 2 emissions from the electricity input provinces to the output ones, because the electricity input provinces enjoy clean energy, but the electricity production ones pay for the environmental pollution.

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On estimating shadow prices of undesirable outputs with efficiency models: A literature review

Cited by 194 publications

References 55 publications

Marginal Abatement Cost of CO2 in China Based on Directional Distance Function: An Industry Perspective

Marginal Abatement Cost of CO2 in China Based on Directional Distance Function: An Industry Perspective

Efficiency Allocation of Provincial Carbon Reduction Target in China’s “13·5” Period: Based on Zero-Sum-Gains SBM Model

Measuring the Interprovincial CO2 Emissions Considering Electric Power Dispatching in China: From Production and Consumption Perspectives

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