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基于社会均衡的居民阶梯电价定价模型及政策模拟研究
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摘要
近年来我国能源供应紧缺、环境压力加大等矛盾逐步凸显,煤炭等一次能源价格持续攀升,电力价格也随之上涨,但居民电价的调整幅度和频率均低于其他行业用电。居民生活用电价格水平较低,造成了用电量较高的用户获得的补贴越多,而用电量越少的用户,获得的补贴越少,从而无法体现居民用户之间的公平性,与公平负担的原则不符。为了促进资源节约型和环境友好型社会建设,逐步减少电价交叉补贴,引导居民合理用电、节约用电,有必要实行居民阶梯电价。当前有关居民阶梯电价的定价研究主要方法为居民用电量的数据统计,且对于居民阶梯电价的实施效果与政策方面的分析较少。本文以社会福利最大化为目标,提出了社会均衡下的居民阶梯电价定价模型,并对居民阶梯电价的公平性、节能减排、多维效益定性评价作出了分析,最后,根据我国国情,提出了相应的政策建议。
     首先,以社会福利最大化为目标构建居民阶梯电价定价模型。在研究国内外阶梯电价制度的基础上,分析影响居民阶梯电价制定的影响因素,构建基于社会均衡的居民非线性定价模型与基于社会均衡的居民阶梯电价定价优化分析。应用拉姆齐定价原则研究居民阶梯电价下的电价弹性与收入弹性,以福利最大化为目标,提出居民的非线性定价模型与社会福利计算模型,进而求得社会均衡条件下的居民阶梯电价方案。研究结果表明,基于社会均衡的居民阶梯电价能够有效地保证社会福利最大化前提下电价的合理性,为政府部门制定合理的居民阶梯电价提供参考。
     其次,居民阶梯电价的多维效益评价研究。提出基于基尼系数的居民阶梯电价适用性模型,考虑多元因素的居民阶梯电价定量评估模型与基于灰色关联度与TOPSIS法的多维效益评价模型。首先根据收入中立、公平与经济效率三个目标,构建基于消费者剩余基尼系数的居民阶梯电价适用性模型。其次选择评估居民阶梯电价的三个因素,包括低收入居民的电力价格弹性、节能降耗效果及对CPI的影响,提出考虑多元因素的居民阶梯电价定量评估模型。最后,从供电侧、用户侧和社会侧三个角度构建多层次的阶梯电价实施效果综合评价指标体系,结合灰色关联度和理想解法对居民阶梯电价方案的实施效果进行综合评价,通过试点地区间阶梯电价的实施效果评比,验证了模型的有效性和合理性。研究结果表明居民阶梯电价能够体现公平特性,具有一定的节能减排效果,对于居民阶梯电价的实施效果评估具有一定的参考价值。
     最后,居民阶梯电价的政策模拟研究。提出基于社会均衡的低收入家庭的居民阶梯电价政策模拟模型与中高收入家庭的用电响应模型。在研究居民家庭用电决策过程的基础上,以低收入居民家庭的效用最大化为目标,应用二次近似理想需求系统模型,建立居民用电的预算份额模型,并考虑居民阶梯电价给不同家庭带来的福利效应,构建出基于社会均衡的低收入家庭的居民阶梯电价政策模拟模型。研究中高收入家庭居民阶梯电价下的边际电价与平均电价,应用差分模型,构建中高收入家庭居民阶梯电价下的用户响应模型。研究结果表明对于低收入居民家庭应提供一定的电费补贴,应扩大中高收入家庭的居民阶梯电价各档之间的电价价差,为政府部门制定和完善相应的电价政策提供参考。
Currently, China's energy supply shortages and environmental pressures are increasing gradually aggravating, the energy prices such as coal continue to rise, as well as electricity prices, but the amplitude and frequency adjustments of residential electricity prices are lower than other industries. Residents living electricity price level is relatively lower, resulting in more subsidies for high electricity comsumption users and less for low, which can not reflect the fairness between users and not in conformity with the principle of fair burden. In order to promote resource-saving and environment-friendly society construction, it is necessary to gradually reduce the price of cross subsidies, guide residents to use reasonaby electricity and save electricity and implement the residential tiered electricity pricing. Current research methods of residential tiered electricity pricing are data statistic of consumption, and the analysis of implementation effect of residential tiered electricity pricing and policy are scarce. This paper takes the maximization of social welfare as the goal, puts forward residential tiered electricity pricing model under the social equilibrium and analyses the residential tiered electricity pricing equity, energy-saving and emission reduction and the multi-dimensional benefit qualitative evaluation. Finally, according to the situation of our country, corresponding policy recommendations are put forward.
     Firsly, taking social welfare maximization as the goal, residents tiered electricity price pricing model is built. Based on the research of tiered electricity price system at home and abroad, influence factors of residents tiered electricity price are analyzed, residents nonlinear pricing model and optimization anaysis based on the social equilibrium is built. Using Ramsey pricing principle to research residentials tiered electricity price, residential nonlinear pricing model and the social welfare caculation model are put forward, then the residents tiered electricity price scheme under social equilibrium is determined. The results show that based on social equilibrium, the tiered electricity price can effectively guarantee the electricy price rationality of the social welfare maximization, which provides reference for government departments to formulate reasonable residential tiered electricity price.
     Secondly, residential tiered electricity pricing is evaluated from the multi-dimensional benefit. Residential tiered electricity pricing model is constructed on the basis of Gene coefficient, the evaluation model based on grey correlation degree and TOPSIS is constructed to make comprehensive evaluation for the implementing effect of the tiered tariff. According to the goal of revenue neutrality, fairness and economic efficiency, residential tiered electricity pricing model is constructed on the basis of Gene coefficient. This paper chooses three essential indexes which are the electricity pricing elasticity for low income consumers, saving energy and reducing consumption, and the relationship with CPI, multiple quantitative evaluation factors of residential tiered electricity price model is put forward. Finally, a multi-level comprehensive evaluation index system of tiered pricing implementation effect is established from supply side, customer side and social side respectively. The evaluation model based on grey correlation degree and TOPSIS is constructed to make comprehensive evaluation for the implementing effect of the step tariff. Finally, through analysis of an example of step tariff in pilot areas, the efficiency and rationality of the model was verified.
     Thirdly, policy simulation research of residential tiered electricity pricing is put forward. Based on social equilibrium, low-income residential tiered electricity pricing policy simulation model and the middle and high income families response model are proposed. Through the study on electricity decision-making process of household and the Quadratic Almost Ideal Demand System, taking low-income households utility maximization as the goal, the paper adopts the welfare effects of residents by the relative equivalence and build residents tiered electricity price policy simulation model of low-income users based on social equilibrium. Average and marginal electricity price middle and high income families residential tiered electricity pricing are studied, using the finite difference model, user response of middle and high income family residents tiered electricity price model is constructed. Research results show that low-income households should be provided a certain amount of electricity subsidies and block price gap of middle and high income familiesof should be expanded, which provides the reference for improving relevant electricity price policy for the government.
引文
[1]黄海涛.居民分时阶梯电价联合优化模型研究[J].电网技术,2012,36(10):253-258
    [2]林伯强.争议阶梯电价[J].中国电力企业管理,2011,(11):20-22
    [3]朱柯丁,宋艺航,谭忠富,等.居民生活阶梯电价设计优化模型[J].2011,39(6):62-67
    [4]陈为民.探析实行阶梯式水价过程中的政策性难题——以我国南方中小城市水价改革实践为例[J].经济理论与实践,2009,(6):12-13
    [5]张粒子,黄海涛,归三荣.我国居民阶梯电价分段电量水平的制定方法[J].价格理论与实践,2010,(3):26-27
    [6]黄海涛,张粒子,乔慧婷,等.基于变密度聚类的居民阶梯分段电量制定方法[J].电网技术,2010,11(34):111-116
    [7]朱颂梅,唐德善.南京城市水价变化趋势及阶梯水价可行性分析[J].价格天地,2007,(3):15-17
    [8]张云波.居民阶梯电价对供电企业经营的影响[J].中国科技信息,2013,(1):117-119
    [9]刘增进,彭悦.郑州市阶梯式水价可行性及居民承受能力分析[J].安徽农业科学,2009,37(25):12208-12209
    [10]Peter C. Reiss and Matthew W. White. Household Electricity Demand, Revisited[J]. Review of Economic Studies,2005,72(6):853-883
    [11]Sibly H. Efficient Urban Water Pricing[J]. Australian Economic Review,2006, 39(2):227-237
    [12]陈凌,何源.居民生活用电定价策略的经济学研究[J].价格理论与实践,2007,(7):22-23
    [13]秦丽娟.供电公司实施居民阶梯电价营销对策研究[D].北京:华北电力大学,2012
    [14]张粒子.我国居民阶梯式递增电价制度的探讨[J].价格理论与实践,2010,(2):9-10
    [15]方国英.分档递增电价制度及其应用[J].需求侧管理,2005,38(1):18-19
    [16]宁红.合肥推广分时电价的经验[J].华东电力,2006,34(1):70-71
    [17]BC Hydro.2008 Residential Inclining Block Rate Application[R]. Vancouver, B. C.,2008
    [18]陈林涛.北京市城镇居民用水实行阶梯式水价的探讨[J].水利水电技术,2008, 39(9):98-102
    [19]封亚琴,钱希兹.居民电价与节能关系探析[J].电力需求侧管理,2009,(5):61-63
    [20]陈贺,杨志峰.基于效用函数的阶梯式自来水水价模型[J].资源科学,2006,28(1):109-111
    [21]郑书莉.生活用水推行阶梯式计量水价的经济分析[J].科技经济市场,2006,(4):100-102
    [22]王健.苏州市城市居民阶梯式水价的应用分析[J].市场论坛,2005,(12):29-31
    [23]柯斌武.阶梯式计量水价在城市居民生活用水需求管理中的应用[J].水利科技与经济,2009,15(1):6-7
    [24]张频,洪波.嘉兴市城市居民阶梯式计量水价实施目的及运行框架浅析[J].科技信息,2008,(16):331-332
    [25]Jing Chen, Kai Yang, Yong Zhang. Water Pricing Model Based on CES Utility Function[A]. Bioinformatics and Biomedical Engineering (iCBBE) 2010 4th International Conference[C].2010:1-4
    [26]Jinxia. Zhao, Xuehua. Zhang. The effection analysis of water price in the sustainable usage of water resources [A].2010 2nd Conference on Environmental Science and Information Application Technology[C].2010:418-421
    [27]王淑华.自来水阶梯式水价的探讨[J].价格研究,2006,(1):26-27
    [28]王海国,孟凡迪.长春市实施阶梯水价的可行性研究[J].吉林水利,2006,(10):51-54
    [29]李小牧.谈居民阶梯优惠电价[J].农村电工,2009,(2):16
    [30]Suleiman Sa'ad. Electricity demand for South Korean residential sector[J]. Energy Policy,2009, (7):5469-5474
    [31]Barta R. Stretching Urban Water Supplies in Colorado-Strategies for Landscape Water Conservation[M]. Colorado:Colorado Water Resources Research Institute, 2004:35-64
    [32]Bithas K. The Sustainable Residential Water Use:Sustainability, Efficiency and Social Equity-The European Experience[J]. Ecological Economics,2008,68(1-2): 221-229
    [33]肖勇,王恒山,杨俊保.对上海地区居民用电实施阶梯式电价体系的思考[J].价格月刊,2009,(39):15-18
    [34]Tadahiro Nakajima, Shigeyuki Hamori. A panel empirical analysis of the residential demand for electricity in the United States [J]. Energy Policy,2009,38(5):2470-2476
    [35]刘晓亮,张少楠.阶梯式计量水价的理性分析与对策探讨[J].价格理论与实践,2008,(9):58-59
    [36]Yepes G. Do Cross-Subsidies Help the Poor Benefit from Water and Wastewater Services?[A]. World Bank TWU Infrastructure[C]. Washington D. C,1998:1-4
    [37]Monteiro H. Water Pricing Models:a Survey[R]. Portugal:Centro de Estudos sobre a Mudanca Socioeconomica,2005
    [38]Maddock R., E. Castato. The Welfare Impact of Rising Block Pricing:Electricity in Colombia[J]. Energy Journal,1991,12(4):65-78
    [39]邢秀凤,胡世明.加快居民生活水价改革积极实施阶梯水价——青岛市城市供水价格调整引发的思考[J].价格理论与实践,2005,(7):42-43
    [40]Zhang Ning, Zhang Sheng. The analysis of the laddering water price in urban household water based on the ELES model[A]. Information Science and Engineering (ICISE),2010 2nd International Conference [C].2010:1-4
    [41]陈天翔,张保会,刘军虎,等.居民生活用电分段式电价的定价策略[J].电力需求侧管理,2005,7(2):11-14
    [42]朱成章.我国阶梯电价的路径选择[J].中国电力企业管理,2010,(1):36-39
    [43]俞诗建,徐望.浙江居民生活用电阶梯式电价调研[J].电力营销,2008,(6):9-11
    [44]吴志慧.浙江省居民电价成本及差别电价对市场的影响研究[D].浙江:浙江大学,2008
    [45]马胜红,赵玉文,王斯成,等.制定阶梯电价促进我国光伏发电发展的建议[J].研究与探索,2004,26(11):31-34
    [46]Bereket Kebede, Almaz Bekele, Elias Kedir. Can the urban poor afford modern energy The case of Ethiopia [J]. Energy Policy,2002, (30):1029-1045
    [47]Clark W. Gellings, Frank M. Betley, William A. England. Integrating demand-side management into utility planning[J]. IEEE Transactions on Power Systems,1989, 77(6):908-918
    [48]Kate Louw, Beatrice Conradie, Mark Howells, et al. Determinants of electricity demand for low-income African households [J]. Energy Policy,2008,36(8):2812-2818
    [49]Samuel Fankhauser, Sladjana Tepic. Can Poor consumers pay for energy and water An afford ability analysis for transition countries [J]. Energy Policy,2007,35(2): 1038-1049
    [50]A. R. Sihag, Neha Misra, Vivek Sharma. Impact of power sector reform on the poor:case-studies of South and South-East Asia [J]. Energy for Sustainable Development,2004,8(4):54-73
    [51]Maria de Fatima S. R. Arthur, Sammy Zahran, Gabriela Bucini. On the adoption of electricity as a domestic source by Mozambican households[J]. Energy Policy, 2010, (38):7235-7249
    [52]白星华.用数学眼光看经济现象—阶梯水价的数学思考[J].硅谷,2008,(10):198
    [53]Mark Davis. Rural household energy consumption the effects of access to electricity-evidence for South Africa[J]. Energy Policy,1998,36(3):207-217
    [54]Thomas J F, Syme G J. Estimating residential Priee elastieity of demand for water: a contingent valuation approah[J]. Water Resourees Research.1998,24(11): 1847-1857
    [55]Shisheng Huang, Bri-MathiasS. Hodge, FarzadTaheripour, et al. The effects of electricity pricing on PHEV competitiveness [J]. Energy Policy,2011,39(3): 1552-1561
    [56]Martin Cave. Snakes and ladders-Unbundling in a next generation world [J]. Telecommunications Policy,2010,34(1-2):80-85
    [57]张钦,王锡凡,付敏,等.需求响应视角下的智能电网[J].电力系统自动化,2009,33(17):49-55
    [58]Xuehao Wei, Xianghong Xiong, Hao Zhou, et al. A solution to regulating the electricity price based on Profit Space in Electricity Market[A]. Electric Utility Deregulation and Restructuring and Power Technologies,2008, DRPT 200, Third International Conference on[C].2008:419-425
    [59]高晶.北京市城镇居民阶梯水价统计测算研究[D].北京:首都经济贸易大学,2008
    [60]陈贺,杨志峰.基于效用函数的阶梯式自来水水价模型.资源科学[J],2006,(1):109-111
    [61]张嵘,吴静芳.基于扩展性线性支出理论的阶梯水价模型[J].科学技术与工程,2009,9(3):641-645。
    [62]刘祖斌.阶梯水价下需求函数模型研究[J].统计教育,2008,(7):39-42
    [63]李明,金宇澄.居民生活用水实施阶梯水价引发的思考[J].给水排水,2006,32(13):107-111
    [64]Baumann D. D., Boland J. J., Hanemann W. M. Urban water demand management and Planning [M]. New York:McGraw-Hill,1997:34-37
    [65]Elnaboulsi. J. C. Nonlinear pricing and capacity planning for water and wastewater services [J]. Water Resources Management,2001,15(1):55-69
    [66]Ioslovich, I. and Gutman. P. O. A model for the global optimization of water prices and usage for the case of spatially distributed sources and consumers[J]. Mathematics and Computers in Simulation,2001,56(4-5):347-356
    [67]Arbues F., M. A. Garcia-Valinas, R. Martinez-Espineira. Estimation of Residential Water Demand:A State-of-the-art Review[J]. Journal of Socio-Economics,2003, 32(1):81-102
    [68]European Commission. Pricing Policy for Enhancing the Sustainability of Water Resources[R]. Brussels:European Commission,2000
    [69]Brouwer R, P. Strosser. Environmental and Resource Costs and the Water Framework Directive:An Overview of European Practices[A]. Proceedings of a Workshop Held at Amsterdam[C].2004:129-134
    [70]黄睿,温步瀛,陈雪莹.居民电价定价方法研究[J].能源与环境,2005,(1):14-16
    [71]Junhua Xiong, Tingling Wang, Shiqing Xu. Design of intelligent tiered pricing meter based on ZigBee[A].2010 International Conference on Advanced Intelligence and Awareness Internet (AIAI2010) [C].2010:291-294
    [72]Xia Lei, Dong-xian Yu, Xiao-li Bai. Research on Multistep Electricity Price Model with Bidirectional Regulation for Large Consumers[A]. International Conference on Electrical and Control Engineering[C].2010:4114-4116
    [73]Xiong Junhua, Wang Tingling, Yun Chao. The Design of Tiered Pricing Meter Based on ZigBee Wireless Meter Reading System[A]. Third International Conference on Measuring Technology and Mechatronics Automation[C].2011:761-764
    [74]Murty P. Bhavaraju, Benjamin Hobbs, Ming-Che Hu. PJM Reliability Pricing Model-A Summary and Dynamic Analysis [A]. IEEE/PES General Meeting[C].2007:1-3
    [75]Ying Li, Peter C. Flynn. Power Price in Deregulated Markets [A]. Power Engineering Society General Meeting[C].2003:874-879
    [76]G. Duan, Z. Y. Dong, X. F. Wang. Composite auction method for suppressing unreasonable electricity price spikes in a competitive electricity market [J]. Generation, Transmission and Distribution, IEE Proceedings,2005,152(4): 460-468
    [77]Zheng Hua, Xie Li, Zhang Lizi. Electricity price forecasting based on GARCH model in deregulated market[A]. The 7th International Power Engineering Conference [C].2005:1-410
    [78]Martin Cave. Encouraging infrastructure competition via the ladder of investment [J]. Telecommunications Policy,2006,30(3-4):223-237
    [79]Jens Lundgren, Jorgen Hellstrom, Niklas Rudholm. Multinational electricity market integration and electricity price dynamics[R]. Swedish:The Swedish Retail Institute, 2008
    [80]Cai-qing Zhang, Ru Duan. Price-forming Mechanism and Price-fixing Model of Electricity Price Based on Demand Side[A].2005 IEEE/PES Transmission and Distribution Conference & Exhibition[C]. Asia and Pacific Dalian,2005:1-3
    [81]Herui Cui, Xiuli Song. Research on Electricity Price Forecasting Based on Chaos Theory [C].2008 International Seminar on Future Information Technology and Management Engineering,2008:398-401
    [82]王建军.销售电价分段定价方法研究[D].辽宁:大连理工大学,2005
    [83]丁世龙,张金隆.采用差别定价方法制定居民电价的研究[J].价格理论与实践,2006,(7):23-24
    [84]潘雪涛.居民与工业销售电价交叉补贴的实证分析[J].硅谷,2009,(18):138-139
    [85]刘滔,徐静.信息商品的拉姆齐定价机制初探[J].理论与探索,2006,29(5):544-546
    [86]Sibly H. Efficient Urban Water Pricing[J]. Australian Economic Review,2006, 39(2):227-237
    [87]Chen H., Z. F. Yang. Residential Water Demand Model under Block Rate Pricing: A Case Study of Beijing, China[J]. Communications in Nonlinear Science and Numerical Simulation,2009,14(5):2462-2468
    [88]Pashardes P., P. Koundouri, S. Hajisprou. Household Demand and Welfare Implications for Water Pricing in Cyprus[R]. Cyprous:Department of Economics, University of Cyprous,2001
    [89]Barberan R., F. Arbues. Equity in Domestic Water Rates Design[J]. Water Resources Management,2009,23(10):2101-2118
    [90]Garcia-Valinas M. A. Efficiency and Equity in Natural Resources Pricing:A Proposal for Urban Water Distribution Service[J]. Environmental and Resource Economics,2005,32(2):183-204
    [91]Boland J. J., D. Whittington. Water Tariff Design in Developing Countries: Disadvantages of Increasing Block Tariffs (IBTs) and Advantages of Uniform Price with Rebate (UPR) Designs[R]. Washington D.C.:World Bank Water and Sanitation Program,2000
    [92]马怀新.我国电力歧视性电价的无限忧思[J].电力技术经济,2000,(1):11-12
    [93]李媛媛.论歧视价格在中国电价制定中的运用[J].华北电力大学学报(社会科学版),2005,(4):66-69
    [94]高杰.电力定价中的价格歧视问题研究[J].中国物价,2004,(9):21-23
    [95]Nataraj, S. & Hanemann, W. M. Does marginal price matter? a regression discontinuity approach to estimating water demand[R]. UC Berkeley:Department of Agricultural and Resource Economics,2008
    [96]Olmstead, S. M., Hanemann, W. M. & Stavins, R. N.. Water demand under alternative price structures[J]. Journal of Environmental Economics and Management,2007,54:181-198
    [97]Corral, L., Fischer, A., Hatch N.. Price and non-price in fl uences on water conservation:an econometric modelofaggregate demand undernonlinearbudget constrain[C]. Agricultural Economics Association Annual Meeting:Salt Lake City,1998
    [98]张荣,黄学样.成本与需求约束下的不对称电力竟价博弈[J].系统工程理论与实践,2009,29(1):37-43
    [99]孔峰,牛东晓.寡头发商市场力与报价机制分析[J].中国电机工程学报,2006,31(12):24-28
    [100]张少华,李渝曾.电力市场短期发电边际成本的概率学预测[J].中国电机工程学报,2000,20(10):19-26
    [101]谭忠富,王绵斌.峰谷分时电价优化模型及其模糊求解方法[J].系统工程理论与实践,2008,9(9):145-151
    [102]胡福年,汤玉东,邹云.考虑双边价格联动的峰谷分时电价机理研究[J].中国电机工程学报,2007,27(25):61-66
    [103]宋新明,薛松,李晨,等.基于电力需求容量成本分摊的峰荷定价模型[J].水电能源与科学,2011,29(1):170-172
    [104]唐捷,胡秀珍,陈亮.基于用户价格响应和满意度的峰谷分时电价决策模型[J].电力系统自动化,2007,31(20):20-24
    [105]翟娜娜.基于用户响应的峰谷时段划分研究[D].北京:华北电力大学,2011
    [106]高艳云.CPI编制及公布的国际比较[J].统计研究,2009,26(9):15-20
    [107]Shu Fan, Rob Hyndman. The price elasticity of electricity demand in South Australia[R]. Victoria:Australia Department of Econometrics and Business Statistics,2010
    [108]曾鸣,许子智,王江波,等.实时电价用户比例增加对电力市场经济效率的影响[J].电网技术,2010,34(6):82-86
    [109]刘丽雪,李仁方.居民生活用电的阶梯电价实施方案设计[J].特区经济,2012,(12):276-279
    [110]Deaton A, Muellbauer J. An almost ideal demand system[J]. American Economic Review,1980,70(3):312-326
    [111]王玉红.阶梯电价实施的影响及其改进趋势探讨[J].现代经济信息,2012,(22): 123-126
    [112]张冬欣.对居民生活用电实施阶梯式电价的思考[J].当代经济,2010,(7):34-35
    [113]陶庆先.阶梯电价的效果评价与实施策略研究[J].市场经济与价格,2012,(05): 76-79
    [114]Erkan Erdogdu. The impact of power market reforms on electricity price-cost margins and cross-subsidy levels:A cross country panel data analysis[J]. Energy Policy,2011,39(3):1080-1092
    [115]Dmitry Kuleshov, Satu Viljainen, Salla Annala, et al. Russian electricity sector reform:Challenges to retail competition[J]. Utilities Policy,2012,23(12):40-49

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