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  • JCLEPRO-D-17-00176R1

    Rights statement: This is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 174, 2018 DOI: 10.1016/j.jclepro.2017.10.267

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Pricing the permission of pollution: Optimal control-based simulation of payments for the initial emission allowance in China

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Pricing the permission of pollution : Optimal control-based simulation of payments for the initial emission allowance in China. / Guo, Mo; Zhang, Yongwei; Ye, Weili; Liu, Lingxuan; Bi, Jun; Wang, Jinnan.

In: Journal of Cleaner Production, Vol. 174, 10.02.2018, p. 139-149.

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Guo, Mo ; Zhang, Yongwei ; Ye, Weili ; Liu, Lingxuan ; Bi, Jun ; Wang, Jinnan. / Pricing the permission of pollution : Optimal control-based simulation of payments for the initial emission allowance in China. In: Journal of Cleaner Production. 2018 ; Vol. 174. pp. 139-149.

Bibtex

@article{e73690aa244f41ddb7737d8e3b766d45,
title = "Pricing the permission of pollution: Optimal control-based simulation of payments for the initial emission allowance in China",
abstract = "China has modified its pollution control policy system with such price tools as the pollution charge (PC) policy and the payment for initial emission allowance (PIEA) policy. The aim of PC policy is to compensate for the environment damage caused by pollutants, while PIEA is in charge of the initial emission allowance (IEA) within the emission trading system (ETS). However, since the implementation of PIEA, it has been criticized as redundant because of the similar pricing scheme with the PC. In addition, the existing PIEA pricing approaches have ignored interactions with other policies, such as PC and total emission control (TEC) policies. In this research, we established an optimal control-based model with chemical oxygen demand (COD) and ammoniacal nitrogen (NH3-N), two independent pollutants variables, to simulate the water pollutants' PIEA price. Simulation results indicated that emission quantity and optimal social benefit in the PC–PIEA combination scenario was equal to the situation in the PIEA scenario. Under this design, PC compensated for the emission damage, and PIEA paid for the scarcity rent, while PIEA does not duplicate the PC policy. In addition, the PIEA policy has a complex effect on pollutant emission. Because PIEA policy increases the enterprises' discharging cost, most regions' COD emissions are less than the baseline, excepting Beijing, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, and Guangdong, in which emission quantities are greater than the baseline. The NH3-N emission shows an opposite trend. The simulation result is that excluding Inner Mongolia, Hubei, Hunan, Tibet, Gansu, Qinghai, Ningxia, and Xinjiang, the NH3-N emissions in the rest of regions are increased. TEC policy has a significant effect on pollutant emissions and the PIEA price. The COD emission quantity with TEC is lower than that without the TEC policy, therefore, the TEC policy will be effective for pollutant emission control. The pollutant beyond the restricted target will be charged a payment for IEA at a higher price than without the TEC policy.",
keywords = "Pricing, Payment, Initial emission allowance, Optimal control-based, Chemical oxygen demand, Ammoniacal nitrogen",
author = "Mo Guo and Yongwei Zhang and Weili Ye and Lingxuan Liu and Jun Bi and Jinnan Wang",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 174, 2018 DOI: 10.1016/j.jclepro.2017.10.267",
year = "2018",
month = feb,
day = "10",
doi = "10.1016/j.jclepro.2017.10.267",
language = "English",
volume = "174",
pages = "139--149",
journal = "Journal of Cleaner Production",
issn = "0959-6526",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - Pricing the permission of pollution

T2 - Optimal control-based simulation of payments for the initial emission allowance in China

AU - Guo, Mo

AU - Zhang, Yongwei

AU - Ye, Weili

AU - Liu, Lingxuan

AU - Bi, Jun

AU - Wang, Jinnan

N1 - This is the author’s version of a work that was accepted for publication in Journal of Cleaner Production. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Cleaner Production, 174, 2018 DOI: 10.1016/j.jclepro.2017.10.267

PY - 2018/2/10

Y1 - 2018/2/10

N2 - China has modified its pollution control policy system with such price tools as the pollution charge (PC) policy and the payment for initial emission allowance (PIEA) policy. The aim of PC policy is to compensate for the environment damage caused by pollutants, while PIEA is in charge of the initial emission allowance (IEA) within the emission trading system (ETS). However, since the implementation of PIEA, it has been criticized as redundant because of the similar pricing scheme with the PC. In addition, the existing PIEA pricing approaches have ignored interactions with other policies, such as PC and total emission control (TEC) policies. In this research, we established an optimal control-based model with chemical oxygen demand (COD) and ammoniacal nitrogen (NH3-N), two independent pollutants variables, to simulate the water pollutants' PIEA price. Simulation results indicated that emission quantity and optimal social benefit in the PC–PIEA combination scenario was equal to the situation in the PIEA scenario. Under this design, PC compensated for the emission damage, and PIEA paid for the scarcity rent, while PIEA does not duplicate the PC policy. In addition, the PIEA policy has a complex effect on pollutant emission. Because PIEA policy increases the enterprises' discharging cost, most regions' COD emissions are less than the baseline, excepting Beijing, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, and Guangdong, in which emission quantities are greater than the baseline. The NH3-N emission shows an opposite trend. The simulation result is that excluding Inner Mongolia, Hubei, Hunan, Tibet, Gansu, Qinghai, Ningxia, and Xinjiang, the NH3-N emissions in the rest of regions are increased. TEC policy has a significant effect on pollutant emissions and the PIEA price. The COD emission quantity with TEC is lower than that without the TEC policy, therefore, the TEC policy will be effective for pollutant emission control. The pollutant beyond the restricted target will be charged a payment for IEA at a higher price than without the TEC policy.

AB - China has modified its pollution control policy system with such price tools as the pollution charge (PC) policy and the payment for initial emission allowance (PIEA) policy. The aim of PC policy is to compensate for the environment damage caused by pollutants, while PIEA is in charge of the initial emission allowance (IEA) within the emission trading system (ETS). However, since the implementation of PIEA, it has been criticized as redundant because of the similar pricing scheme with the PC. In addition, the existing PIEA pricing approaches have ignored interactions with other policies, such as PC and total emission control (TEC) policies. In this research, we established an optimal control-based model with chemical oxygen demand (COD) and ammoniacal nitrogen (NH3-N), two independent pollutants variables, to simulate the water pollutants' PIEA price. Simulation results indicated that emission quantity and optimal social benefit in the PC–PIEA combination scenario was equal to the situation in the PIEA scenario. Under this design, PC compensated for the emission damage, and PIEA paid for the scarcity rent, while PIEA does not duplicate the PC policy. In addition, the PIEA policy has a complex effect on pollutant emission. Because PIEA policy increases the enterprises' discharging cost, most regions' COD emissions are less than the baseline, excepting Beijing, Shanghai, Jiangsu, Zhejiang, Fujian, Shandong, and Guangdong, in which emission quantities are greater than the baseline. The NH3-N emission shows an opposite trend. The simulation result is that excluding Inner Mongolia, Hubei, Hunan, Tibet, Gansu, Qinghai, Ningxia, and Xinjiang, the NH3-N emissions in the rest of regions are increased. TEC policy has a significant effect on pollutant emissions and the PIEA price. The COD emission quantity with TEC is lower than that without the TEC policy, therefore, the TEC policy will be effective for pollutant emission control. The pollutant beyond the restricted target will be charged a payment for IEA at a higher price than without the TEC policy.

KW - Pricing

KW - Payment

KW - Initial emission allowance

KW - Optimal control-based

KW - Chemical oxygen demand

KW - Ammoniacal nitrogen

U2 - 10.1016/j.jclepro.2017.10.267

DO - 10.1016/j.jclepro.2017.10.267

M3 - Journal article

VL - 174

SP - 139

EP - 149

JO - Journal of Cleaner Production

JF - Journal of Cleaner Production

SN - 0959-6526

ER -