Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach

Zhu, Bangzhu; Zhang, Mengfan; Huang, Liqing; Wang, Ping; Su, Bin; Wei, Yi‐Ming

doi:10.1016/j.eneco.2019.104601

Cited by 163 publications

(70 citation statements)

References 10 publications

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“…The ensuing phenomenon will appear in the atmospheric precipitation of inland cities, and the composition of sea salt ions is higher than that of coastal cities. Of course, the final conclusion needs further observation, analysis and verification [48][49][50][51][52][53][54][55][56][57][58].…”

Section: Variation Characteristics Of Precipitation Ion Compositionmentioning

confidence: 98%

Analysis on Change of Precipitation pH and Chemical Characteristics of Acid Rain in Liaoning Province (2007�2018)

Deping¹,

Yan²,

Xie³

et al. 2020

Rev. Chim.

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Acid rain, as one of the outputs of toxic and harmful chemicals from factories, is a serious environmental problem, especially in China, which has harmful ecological consequences and has a direct impact on vegetation and human health. Based on the data of acid rain observation station of Liaoning Meteorological Bureau from 2007 to 2018, the variation of precipitation pH and the distribution of acid rain in Liaoning Province in the past 12 years were analyzed. The result shows: First, the average pH value of annual precipitation in Liaoning Province is 5.55, which belongs to weak acid rain area. The frequency of acid rain is 12.56%, and the ratio of acid rain to total precipitation is 15.48%. More than 1/5 of the stations are located in the acid rain prone area, among which Dalian and Dandong are seriously polluted, being close to the grade of acid rain frequent area. Second, from 2007 to 2018, the precipitation pH in Liaoning Province fluctuated and increased year by year, with an average annual increase of 0.077 pH, and the pollution of acid rain decreased year by year; especially after 2014, Liaoning Province has exited from weak acid rain area, with its precipitation pH tending to be neutral year by year. Third, acid rain pollution in Liaoning Province is most serious in winter, followed by autumn and summer; in the first six years (2007-2012), the pollution in February was the most serious, and in the last six years (2013-2018), the pollution in December was the most serious, which was significantly worse than the previous six years. Fourth, more efforts have been made to control air pollution in all parts of the country, and the annual decrease in acid precursor emissions is the fundamental reason for the variation of precipitation pH and the improvement of acid rain pollution in Liaoning Province, while the precipitation pH and acid rain distribution in Liaoning Province are sensitive to the relevant environmental control measures taken by the state in recent years. However, the change of acid rain pollution reminds us to attach great importance to new pollution components and causes.

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Section: Variation Characteristics Of Precipitation Ion Compositionmentioning

confidence: 98%

Analysis on Change of Precipitation pH and Chemical Characteristics of Acid Rain in Liaoning Province (2007�2018)

Deping¹,

Yan²,

Xie³

et al. 2020

Rev. Chim.

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show abstract

“…Additionally, some argued that China’s ETS also promoted carbon intensity reduction [ 33 ], but Zhang et al (2019) [ 34 ] found that only in some pilot areas (e.g., Beijing and Guangdong) ETS decreased carbon emission intensity. Existing studies also stated that the implementation of China’s ETS can reduce energy consumption and intensity [ 31 ], boost new energy use [ 35 ], and influence technological innovation [ 36 , 37 ] and green development efficiency [ 38 ].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Overall, these studies mainly focus either on carbon emissions of a whole region (e.g., a province) [ 17 , 34 , 38 ] or all industries [ 33 ], which is inconsistent with the reality of pilot ETS coverage. Although Zhang et al (2019) [ 31 ] and Hu et al (2020) [ 32 ] tried to revolve around the specific covered industries, they use the difference-in-difference (DID) or propensity score matching (PSM) difference-in-difference (PSM-DID) methods which cannot eliminate the interference effects of other policies (e.g., national or regional industrial policies) [ 39 , 40 ], thereby reducing the validity of the estimated results.…”

Section: Literature Reviewmentioning

confidence: 99%

Does Emission Trading Boost Carbon Productivity? Evidence from China’s Pilot Emission Trading Scheme

Zhou

Liang

Zhou

et al. 2020

IJERPH

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As the country with the largest carbon emissions globally, the effective operation of China’s carbon emissions trading scheme (ETS) is of great importance to the global community in terms of mitigating climate change. This paper considers China’s pilot ETS launched in 2013 as a quasi-natural experiment. Exploring provincial industrial-level data that are more in line with the ETS coverage, the difference-in-difference-in-difference (DDD) model is used to evaluate the impact of the ETS on carbon productivity. Considering different pilot regions and industries, we also analyze the heterogeneous effect of ETS. Moreover, the mediating effects of technical progress and capital investment are explored. We find that China’s pilot ETS boosted carbon productivity. Among pilot regions, the best policy effectiveness appeared in Beijing, while the weakest effectiveness appeared in Chongqing. Among the pilot industries, the pilot ETS had better effectiveness in petrochemical and electric power industries and weaker effectiveness in building materials and transportation industries. Additionally, the pilot ETS promoted carbon productivity through both technological progress and capital investment, and the former contributed more. Our findings can provide empirical references and policy implications for nationwide implementation of ETS to further promote low-carbon economic transformation.

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“…In the previous research, the optimal pricing model and strategy of EV charging stations for the promotion of green and low-carbon behavior are proposed from two dimensions: space and time [43]. A multiobjective optimization model for centralized charging of EVs based on zonal and TOU pricing is put forward to formulate an optimal pricing strategy for EV charging.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions

Niu

Yan

et al. 2020

Journal of Advanced Transportation

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Considering that the charging behaviors of users of electric vehicles (EVs) (including charging time and charging location) are random and uncertain and that the disorderly charging of EVs brings new challenges to the power grid, this paper proposes an optimal electricity pricing strategy for EVs based on region division and time division. Firstly, by comparing the number of EVs and charging stations in different districts of a city, the demand ratio of charging stations per unit is calculated. Secondly, according to the demand price function and the principle of profit maximization, the charging price between different districts of a city is optimized to guide users to charge in districts with more abundant charging stations. Then, based on the results of the zonal pricing strategy, the time-of-use (TOU) pricing strategy in different districts is discussed. In the TOU pricing model, consumer satisfaction, the profit of power grid enterprises, and the load variance of the power grid are considered comprehensively. Taking the optimization of the comprehensive index as the objective function, the TOU pricing optimization model of EVs is constructed. Finally, the nondominated sorting genetic algorithm (NSGA-II) is introduced to solve the above optimization problems. The specific data of EVs in a municipality directly under the Central Government are taken as examples for this analysis. The empirical results demonstrate that the peak-to-valley ratio of a certain day in the city is reduced from 56.8% to 43% by using the optimal pricing strategy, which further smooth the load curve and alleviates the impact of load fluctuation. To a certain extent, the problem caused by the uneven distribution of electric vehicles and charging stations has been optimized. An orderly and reasonable electricity pricing strategy can guide users to adjust charging habits, to ensure grid security, and to ensure the economic benefits of all parties.

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Exploring the effect of carbon trading mechanism on China's green development efficiency: A novel integrated approach

Cited by 163 publications

References 10 publications

Analysis on Change of Precipitation pH and Chemical Characteristics of Acid Rain in Liaoning Province (2007�2018)

Analysis on Change of Precipitation pH and Chemical Characteristics of Acid Rain in Liaoning Province (2007�2018)

Does Emission Trading Boost Carbon Productivity? Evidence from China’s Pilot Emission Trading Scheme

Optimal Pricing Strategy of Electric Vehicle Charging Station for Promoting Green Behavior Based on Time and Space Dimensions

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