Under the consideration of emission reduction efficiency and the purpose of maximizing the economic surplus in the carbon market, a two-stage dynamic game mechanism between the government and duopoly enterprises was constructed, and the effects of graded and progressive punishment mechanism on the power generation, profits of large and small enterprises and economic surplus were studied. The results showed that with the increase of penalty coefficient, if the large power enterprise was defaulted, the total power generation, total profit and economic surplus decreased by 7.47%, 15.34% and 5.88%; if the small power enterprise was defaulted, the total power generation decreased by 1.43%, the total profit decreased by 3.39% or increased by 0.03%, and the economic surplus increased by 0.13%; if the large power enterprise was not participated in carbon trading, the total profit decreased by 16.35%; if it was participated in carbon trading, the total profit decreased by 15.34%; if the small power enterprise was not participated in carbon trading, the total profit decreased by 3.39%; if it was participated in carbon trading, the total profit increased by 0.03%. Therefore, when designing a punishment mechanism for the power generation industry, we should increase the penalties and set up a graded and progressive punishment mechanism, according to the enterprise scale and carbon market participation, and an effective supervision system should be established.
魏琦, 李林静. 碳市场发电企业违约分级累进处罚机制研究[J]. 中国环境科学, 2020, 40(2): 919-928.
WEI Qi, LI Lin-jing. Research on graded and progressive punishment mechanism for power generation enterprises in carbon market. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(2): 919-928.
时佳瑞,蔡海琳,汤铃,等.基于CGE模型的碳交易机制对我国经济环境影响研究[J]. 中国管理科学, 2015,23(S1):801-806. Shi J R, Cai H l, Tang L, et al. Impacts of carbon emission trading on China:based on CGE model[J]. Chinese Journal of Management Science, 2015,23(S1):801-806.
[2]
范丹,王维国,梁佩凤.中国碳排放交易权机制的政策效果分析-基于双重差分模型的估计[J]. 中国环境科学, 2017,37(6):2383-2392. Fan D, Wang G W, Liang P F. Analysis of the performance of carbon emissions trading right in China——The evaluation based on the difference-in-difference model[J]. China Environmental Science, 2017,37(6):2383-2392.
[3]
樊威.英国碳市场执法监管机制对中国的启示[J]. 科技管理研究, 2016,36(17):235-240. Fan W. British regulatory system in carbon market and the indication to China[J]. Science and Technology Management Research, 2016, 36(17):235-240.
[4]
国家发展和改革委员会.全国碳排放权交易市场建设方案(发电行业)[EB/OL].[2017-12-18]. http://www.ndrc.gov.cn/zcfb/gfxwj/201712/W020171220566893899825.pdf. National Development and Reform Commission. National carbon emission trading market construction plan (power generation industry)[EB/OL]. http://www.ndrc.gov.cn/z cfb/gfx wj/201712/W020171220566893899825.pdf.[2017-12-18].
[5]
中国电力统计年鉴编辑委员会.中国电力年鉴[M]. 北京:中国电力出版社, 2017. Editorial Board of China Electric Power Yearbook. China electric power yearbook[M]. Beijing:China Electric Press, 2017.
[6]
Restiani P, Betz R. The effects of penalty design on market performance:experimental evidence from an emissions trading scheme with auctioned permits[R]. Environmental Economics Research Hub Research Reports, 2010.
[7]
张吉岗,杨红娟.中国火电企业生产效率评价与影响因素研究[J]. 中国环境科学, 2019,39(11):4910-4920. Zhang J G, Yang H J. Study on production efficiency evaluation and influencing factors of China's thermal power enterprises[J]. China Environmental Science, 2019,39(11):4910-4920.
[8]
刘强,田川,郑晓奇,等.中国电力行业减排相关政策评价[J]. 资源科学, 2017,39(12):2368-2376. Liu Q, Tian C, Zheng X Q, et al. Evaluation of CO2 emission reduction policies in China's power sector[J]. Resources Science, 2017,39(12):2368-2376.
[9]
Tang L, Wu J Q, Yu L, et al. Carbon Emissions trading scheme exploration in China:a multi-agent-based model[J]. Energy Policy, 2015,81:152-169.
[10]
杨越,成力为.区域差异化制度设计下的碳排放交易市场效率评价[J]. 运筹与管理, 2018,27(5):157-167. Yang Y, Cheng L W. Evalution of carbon emissions trading market efficiency under differentiation system design[J]. Operations Research and Management Science. 2018,27(5):157-167.
[11]
王文军,傅崇辉,骆跃军,等.我国碳排放权交易机制试点地区的ETS管理效率评价[J]. 中国环境科学, 2014,34(6):1614-1621. Wang W J, Fu C H, Luo Y J, et al. Management efficiency assessment of seven Chinese pilots carbon emission trading systems[J]. China Environmental Science, 2014,34(6):1614-1621.
[12]
史学瀛,杨博文.控排企业碳交易未达履约目标的罚则设定[J]. 中国人口·资源与环境, 2018,28(4):35-42. Shi X Y, Yang B W. Penalty rule design for emissions control firms not achieving carbon trading performance goals[J]. China Population, Resource and Environment, 2018,28(4):35-42.
[13]
Munnings C, Morgenstern R D, Wang Z M, et al. Assessing the design of three carbon trading pilot programs in China[J]. Energy Policy, 2016,96:688-699.
[14]
Lin B Q, Jia Z J. Energy, economic and environmental impact of government fines in China's carbon trading scheme[J]. Science of the Total Environment, 2019,667:658-670.
[15]
焦建玲,陈洁,李兰兰,等.碳减排奖惩机制下地方政府和企业行为演化博弈分析[J]. 中国管理科学, 2017,25(10):140-150. Jiao J L, Chen J, Li L L, et al. A study of local governments' and enterprises' actions in the carbon emission mechanism of subsidy or punishment based on the evolutionary game[J]. Chinese Journal of Management Science, 2017,25(10):140-150.
[16]
Liu Y, Han L Y, Yin Z Q, et al. A competitive carbon emissions scheme with hybrid fiscal incentives:the evidence from a taxi industry[J]. Energy Policy, 2017,102:414-422.
[17]
Schaeffer G J, Sonnemans J. The influence of banking and borrowing under different penalty regimes in tradable green certificate markets-results from an experimental economics laboratory experiment[J]. Energy & Environment, 2000,11:407-422.
[18]
Ivanova G. Experimental Test of the Effect of Imposing a Penalty on Buyers in a Specific Market Structure[C]//51st Annual Conference of the Australian Agricultural and Resource Economics Society Queenstown, 2007.
[19]
Metcalf G E, Weisbach D. The design of a carbon tax[J]. Harvard Environmental Law Revies, 2009,33(2):499-506.
[20]
Cong R G, Wei Y M. Experimental comparison of impact of auction format on carbon allowance market[J]. Renewable and Sustainable Energy Reviews, 2012,16(6):4148-4156.
[21]
孙莉,徐琪.基于超标碳排放惩罚因子的成本最优供应链模型研究[J]. 北方民族大学学报(哲学社会科学版), 2016,(2):135-137. Sun L, Xu Q, Study on cost optimal supply chain model based on penalty factor of over-standard carbon emission[J]. Journal of Beifang University of Nationalities, 2016,(2):135-137.
[22]
付秋芳,忻莉燕,马士华.惩罚机制下供应链企业碳减排投入的演化博弈[J]. 管理科学学报, 2016,19(4):56-70. Fu Q F, Xin L Y, Ma S H. Evolutionary game of carbon-emission-reduction investment in supply chains under a contract with punishment mechanism[J]. Journal of Management Sciences in China. 2016,19(4):56-70.
[23]
赵哲,陈建成,白羽萍,等.二氧化碳排放与经济增长关系的实证分析[J]. 中国环境科学, 2018,38(7):2785-2793. Zhao Z, Chen J C, Bai Y P, et al. The empirical analysis of the relationship between carbon dioxide emissions and economic growth[J]. China Environmental Science, 2018,38(7):2785-2793.
[24]
廖夏伟,计军平,马晓明.2020年中国发电行业碳减排目标规划相符性分析[J]. 中国环境科学, 2013,33(3):553-559. Liao X W, Ji J P, Ma X M. Consistency analysis between technology plans and reduction target on CO2 emissions from China's power sector in 2020[J]. China Environmental Science, 2013,33(3):553-559.
[25]
Y Yang, Cheng L W. Operational efficiency evaluation and system design improvements for carbon emissions trading pilots in China[J]. Carbon Management, 2017,8(6):1-17.
[26]
杨勇平,黄圣伟,付鹏,等.大型燃煤发电机组热力性能优化集成分析研究现状[J]. 华北电力大学学报(自然科学版), 2018,45(2):89-95. Yang Y P, Huang S W, Fu P, et al. Optimization and synthesis of large-scale coal-fired power plants[J]. Journal of North China Electric Power University, 2018,45(2):89-95.
[27]
李薇,董艳艳,卢晗,等."十三五"规划碳减排目标下碳交易机制的博弈分析[J]. 中国环境科学, 2016,36(9):2857-2864. Li W, Dong Y Y, Lu H, et al. A game analysis on carbon trade under carbon mitigation targets during the 13th Five-Year plan period.[J]. 2016,36(9):2857-2864.
[28]
中国电力企业联合会.2017年中国电力年度发展报告[R]. 北京:中国市场出版社, 2017. China Electricity Council. China power annual development report in 2017[R]. Beijing:China Market Press, 2017.
[29]
马骥,周德群,丁浩.风力发电并网调度中碳目标影响研究[J]. 系统工程, 2017,35(6):49-57. Ma J, Zhou D Q, Ding H. Research on the influence of carbon targets in grid scheduling of wind power generation[J]. Systems Engineering, 2017,35(6):49-57.
[30]
袁杜娟.我国碳排放总量控制与交易制度构建[J]. 中共中央党校学报, 2014,18(5):84-88. Yuan D J. Construction of China's total carbon emission control and transaction system[J]. Journal of the Party School of the Central Committee of the C P C, 2014,18(5):84-88.
[31]
白雪洁,宋莹.环境规制、技术创新与中国火电行业的效率提升[J]. 中国工业经济, 2009,(8):68-77. Bai X J, Song Y. Enonment regulation, technology innovation and efficiency improvement of Chinese thermal power industry[J]. China Industrial Economics, 2009,(8):68-77.
[32]
王靖然,李林川,司云波.电力市场中纵向一体化对市场力影响的均衡分析[J]. 天津大学学报, 2009,42(11):987-991. Wang J R, Li L C, Si Y B. Impacts of vertical integration on market power in electricity market based on equilibrium analysis[J]. Journal of Tianjin University, 2009,42(11):987-991.
[33]
马超群,莫艳梅.发电企业的竞价博弈分析[J]. 统计与决策, 2008, (15):177-179. Ma C Q, Mo Y M. Analysis of bidding game in power generation enterprises[J]. Statistics & Decision, 2008,(15):177-179.
[34]
Slater H, De Boer D,王庶,等.2018年中国碳价调查[R]. 中国:ICF国际咨询公司, 2018:3-9. Slater H, De Boer D, Wang S, et al. Survey of China carbon trading prices in 2018[R]. Beijing:ICF International Consulting Company, 2018:3-9.
[35]
张同斌,刘琳.中国碳减排政策效应的模拟分析与对比研究-兼论如何平衡经济增长与碳强度下降的双重目标[J]. 中国环境科学, 2017,37(9):3591-3600. Zhang T B, Liu L. Simulation analysis and comparative study on the effects of China's carbon reduction policy-On how to balance the dual goals of economic growth and carbon intensity reduction[J]. China Environmental Science, 2017,37(9):3591-3600.