Abstract
Emission trading system is an effective market-oriented means to control pollutant emission, and reasonable initial allocation of emission rights is the premise of its smooth implementation. However, at present, the initial allocation of emission rights depends largely on the amount of emissions, which leads to weak positive guidance effect for enterprises. To explore the optimal initial allocation method of SO2 emission rights, this paper takes 8 thermal power plants in Dalian, China, as the research objects to calculate the initial allocation of SO2 emission rights, because SO2 is the main cause of acid rain, which is one of the most serious air pollution in China, and thermal power plants are among the main SO2 emitters. Firstly, an indicator system is established considering enterprise size, pollutant discharge, and social contributions, as well as pollution control capacity. Then, the combination weighting method is developed through integrating the subjective methods G1 and G2 with the objective ones, entropy and maximum deviation. The empirical results show that the enterprises with more desulfurization equipment or large heating supply are supposed to get more emission rights; the actual emission value of SO2 in half of the enterprises exceeds the theoretical ones; SO2 removal rate, desulfurization equipment quantity, and heating supply exert the most positive effects on the initial allocation of emission rights. The constructed model can be used as a reference for future research of initial allocation of other pollutants’ emission rights. Also, the implications have been proposed for the government, industry, and enterprises.
Similar content being viewed by others
References
Bai Y, Hua CC, Jiao JL et al (2018) Green efficiency and environmental subsidy: evidence from thermal power firms in China. J Clean Prod 188:49–61
Chen Y, Wang JG, Zhang J, Liu CY, Huang SS (2013) The regional initial allocation model of carbon emissions permits in power industry. Adv Mater Res 869-870:399–403
Chen D, Zhou K, Tan X, Zhou Z, Shi L, Ma Z (2019) Desulfurization electricity price and emission trading: comparative analysis of thermal power industry in China and the United States. Energy Procedia 158:3513–3518
Dales JH (2002) Pollution, property & prices: an essay in policy-making and economics. Edward Elgar Publishing.
Duan FM, Wang Y, Wang Y et al (2018) Estimation of marginal abatement costs of CO2 in Chinese provinces under 2020 carbon emission rights allocation: 2005–2020. Environ Sci Pollut Res 25:24445–24468
Feng ZY, Tang WH, Niu ZW et al (2018) Bi-level allocation of carbon emission permits based on clustering analysis and weighted voting: a case study in China. Appl Energy 228:1122–1135
Guo YJ (2002) New theory and method of dynamic comprehensive evaluation. J Manag Sci China 02:49–54 (in Chinese)
Guo TX, Zhao Y, Yang Q, Feng HB, du DG (2012) An improved allocation method with environmental constraints of regional SO2 emission right. Adv Mater Res 518-523:2336–2339
Gurianov P (2015) Formation of pollutant emissions trading optimum model at the international market. Metallurgical and Mining Industry 7(8):94–99
Hahn RW (1984) Market power and transferable property rights. Q J Econ 99(4):753–765
Han YM, Long C, Geng ZQ et al (2018) Carbon emission analysis and evaluation of industrial departments in China: an improved environmental DEA cross model based on information entropy. J Environ Manag 205:298–307
Hang Y, Wang QW, Wang YZ et al (2019) Industrial SO2 emissions treatment in China: a temporal-spatial whole process decomposition analysis. J Environ Manag 243:419–434
He SB, Yan T, Zhou HR (2016) Decomposition and spatial clustering analysis of China’s SO2 emissions. Procedia Com Sci 91:1064–1072
Hou BQ, Wang B, Du MZ et al (2020) Does the SO2 emissions trading scheme encourage green total factor productivity? An empirical assessment on China’s cities. Environ Sci Pollut Res 27:6375–6388
Huang JT (2018) Sulfur dioxide (SO2) emissions and government spending on environmental protection in China-Evidence from spatial econometric analysis. J Clean Prod 175:431–441
Ji X, Sun JS, Wang YY et al (2017a) Allocation of emission permits in large data sets: a robust multi-criteria approach. J Clean Prod 142:894–906
Ji J, Zhang Z, Yang L (2017b) Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation. Int J Prod Econ 187:68–84
Jiao J, Han X, Li F, Bai Y, Yu Y (2017) Contribution of demand shifts to industrial SO2 emissions in a transition economy: evidence from China. J Clean Prod 164:1455–1466
Lee CY (2019) Decentralized allocation of emission permits by Nash data envelopment analysis in the coal-fired power market. J Environ Manag 241:353–362
Li Y, Li CC, Wen JY (2013) Flue gas denitrification programming model for coal-fired generating units based on total emission control policies of NOx in China. Appl Mech Mater 448-453:651–656
Li X, Wu XL, Zhang FQ (2015) A method for analyzing pollution control policies: application to SO2 emissions in China. Energy Econ 49:451–459
Li LX, Li YN, Ye F et al (2018) Carbon dioxide emissions quotas allocation in the Pearl River Delta region: evidence from the maximum deviation method. J Clean Prod 177:207–217
Liu XY, Wen ZG (2012) Best available techniques and pollution control: a case study on China’s thermal power industry. J Clean Prod 23(1):113–121
Luo YJ, Li XY, Cai GT et al (2019) A study on atmospheric environmental resource accounting: a case of SO2 supply resources in Chinese provinces. J Environ Manag 249:109432
Lyon RM (1982) Auctions and alternative procedures for allocating pollution rights. Land Econ 58(1):16–32
Mackenzie IA, Hanley N, Kornienko T (2009) Using contests to allocate pollution rights. Energy Policy 37(7):2798–2806
Qian K, Luan YH (2017) Weighted measures based on maximizing deviation for alignment-free sequence comparison. Physica A: Statistical Mech Appl 481:235–242
Qian CJ, Zhang MG, Chen YT et al (2014) A quantitative judgement method for safety admittance of facilities in chemical industrial parks based on G1-variation coefficient method. Procedia Eng 84:223–232
Shi GM, Wang JN, Fu F, Xue WB (2017) A study on transboundary air pollution based on a game theory model: cases of SO2 emission reductions in the cities of Changsha, Zhuzhou and Xiangtan in China. Atmospheric Pollut Res 8(2):244–252
Shin S (2013) China’s failure of policy innovation: the case of sulphur dioxide emission trading. Environ Politics 22(6):918–934
Tang HL, Liu JM, Mao J, Wu JG (2020) The effects of emission trading system on corporate innovation and productivity-empirical evidence from China’s SO2 emission trading system. Environ Sci Pollut Res 27:21604–21620
Van Egteren H, Weber M (1996) Marketable permits, market power, and cheating. J Environ Econ Manag 30(2):161–173
Venmans FMJ (2016) The effect of allocation above emissions and price uncertainty on abatement investments under the EU ETS. J Clean Prod 126:595–606
Wang YJ, Wang XJ (2016) Interdependent value multi-unit auctions for initial allocation of emission permits. Procedia Environ Sci 31:812–816
Woerdman E (2000) Organizing emissions trading: the barrier of domestic permit allocation. Energy Policy 28(9):613–623
Wong CWY, Wong CY, Boon-itt S (2020) Environmental management systems, practices and outcomes: differences in resource allocation between small and large firms. Int J Prod Econ 228:107734
Wu XH, Tan L, Guo J et al (2015) A study of allocative efficiency of PM 2.5 emission rights based on a zero sum gains data envelopment model. J Clean Prod 113:1024–1031
Yi PT, Dong QK, Li WW (2019) Evaluation of city sustainability using the deviation maximization method. Sustain Cities Soc 50:101529
Zeng YY, Cao YF, Qiao X et al (2019) Air pollution reduction in China: recent success but great challenge for the future. Sci Total Environ 663:329–337
Zhang QS, Zhang ZQ, Jin X et al (2019) Entropy-based method for evaluating spatial distribution of form errors for precision assembly. Precis Eng 60:374–382
Zhao DF, Shang H, Wang YL et al (2018) Evaluation of green growth capacity in national new areas. Chinese Studies 07(03):197–209
Zhu Y, Zou YF, Zhang YH (2012) Initial allocation of emission rights difficulties and solution strategies. Adv Mater Res 550-553:3413–3419
Availability of data and materials
The datasets used or analyzed during the current study are available from the corresponding author on reasonable request.
Funding
This work is supported by a grant from the National Natural Science Foundation of China (71473029, 72004019), Natural Foundation of Liaoning Province (2019-ZD-0140), and Social Science Association Project of Liaoning Province (20201s1ktqn-017).
Author information
Authors and Affiliations
Contributions
Ying Qu contributed to the conception of the study; Yingmin Yuan performed the data analysis and wrote the manuscript; Lingling Guo helped perform the analysis with constructive discussion; Yusha Li helped collect the data.
Corresponding authors
Ethics declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors declare no competing interests.
Additional information
Responsible Editor: Eyup Dogan
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Qu, Y., Yuan, Y., Guo, L. et al. Initial allocation of SO2 emission rights based on the combination weighting method: evidence from China’s thermal power plants. Environ Sci Pollut Res 29, 14743–14753 (2022). https://doi.org/10.1007/s11356-021-15745-x
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11356-021-15745-x