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ESTIMATING ENERGY RATIONING COSTS IN BRAZIL WITH CONTINGENT VALUATION MODELS

机译:用偶发评估模型估算巴西的能源定额成本

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OverviewThe Brazilian electricity sector is characterized by a hydrothermal composition and centralized operational procedures, including the dispatch of energy sources available. Among the fundamental information needed for planning of expansion and operation the cost of rationing or energy deficit cost plays a central role. In summary, it represents the maximum amount that could be attributed to a new venture able to avoid power outages or, more generally, the economic cost of shortage or lack of availability of electricity. This parameter is also used in other fundamental processes, being an essential reference to design public policies related to energy in Brazil. In this context, the main goal of this research is to develop and implement a new methodology for energy deficit cost estimation, capable to be used by policy makers involved. In contrast with current methodology, based on national accounts system and Leontief´s input-output matrix, we propose a contingent valuation method, analogous to that used on similar studies more focused on short interruptions or Value of Lost Load estimation.The paper is organised as follows: after the introduction, giving more details about the role of energy deficit cost in Brazilian energy system, the second section describes the application of contingent valuation methods to the problem considered. The third section describes the field research, using data from a sample of residential, industrial and commercial consumers, some qualitative results and descriptive statistcs. In section four we present the quantitative results and econometric models for willingness to pay / willingness to accept to avoid an energy rationing in Brazil. The final section discusses policy implications and research extensions.MethodsThe empirical strategy is based on Contingent Valuation Methods. To perform field research we will use both “willingness to pay” (WTP) and “willingness to accept” (WTA) methods – this strategy is related to sample available – data from 1600 residential consumers, comprising the four Brazilian energy subsystems (400 interviews for each subsystem), 500 industrial firms and 500 commercial firms; so, the survey is designed through a decision tree, where consumers may choose if they desire to pay for avoiding electricity shortages or receive some amount of money (or a discount in their bills) ir order to compensate for the lack of energy.This design allows for a confidence level of 95% (national level) and minimizes null answers. Concerning to the approach, open ended questions regarding how consumers value energy deficits will be used only if necessary – there is a huge evidence about potential bias in using these kind of questions (NOAA Panel). In this sense, questionaires for residential consumers will contain values for WTP and WTA that are compatible with the income and energy expenditures of respondents – this matrix of values is obtained through some assumptions regarding what would occur if a rationing program really was implemented and about consumer´s behaviour. Therefore, we have to simulate a power cut policy – one hour in the peak period for each day, during 3 months and on summer – considering a base value for price elasticity of demand. These assumptions allows the construction of a range for WTP/ WTA that will be used on interviews.ResultsContingent Valuation Methods are presented as a tool for policy makers in Brazilian energy sector. Similarly tocountries like Peru and Colombia, we estimate the costs associated to energy rationing through surveys that elicitconsumer´s perception. As results, we are able to obtain the average willingness-to-pay/ willingness to accept toavoid lack of energy in Brazil from different kinds of customers and which attributes or parameters are more relevantto explain the deficit. These kind of analysis will be performed through econometric models for discret choice, likeProbit or Logit, in order to estimate the expected value of energy deficit costs. Results will permit also a betterunderstanding about how to really implement a power cut policy in Brazil if necessary.ConclusionsCustomers willingness to pay to avoid energy rationing will be used not only for usual applications in Brazil, relatedto planning and operational procedures, but also to improve contract design and quality of the services. We arguethat field research must be performed on a regular basis so as to build knowledge, always providing new informationabout consumers’ preferences, capable to be used by firms, policy makers and regulators of public utilities. Theusefulness of such methodologies is not limited to the energy sector.
机译:概述 巴西电力部门的特点是热液组成和集中的操作程序,包括可用能源的分配。在规划扩展和运营所需的基本信息中,配给成本或能源短缺成本起着核心作用。总而言之,它代表可以归因于能够避免断电,或更笼统地说,是由于缺乏或缺乏电力的经济成本而产生的新风险的最大金额。此参数还用于其他基本过程中,是设计巴西能源相关公共政策的必要参考。在这种情况下,本研究的主要目标是开发和实施一种新的能源赤字成本估算方法,该方法可供相关决策者使用。与当前的方法相比,基于国民账户体系和Leontief的投入产出矩阵,我们提出了一种或有评估方法,类似于类似研究中所使用的,更侧重于短期中断或损失负荷价值估算。 该文件的组织结构如下:引言后,详细介绍了能源赤字成本在巴西能源系统中的作用,第二部分介绍了或有估值方法在所考虑问题上的应用。第三部分使用来自居民,工业和商业消费者的样本数据,一些定性结果和描述性统计量,描述了实地研究。在第四部分中,我们介绍了为避免在巴西进行能源配给而愿意支付/愿意接受的定量结果和计量经济学模型。最后一部分讨论政策含义和研究扩展。 方法 实证策略基于或有评估方法。为了进行现场研究,我们将同时使用“支付意愿”(WTP)和“接受意愿”(WTA)方法–该策略与可用样本有关–来自1600个居民消费者的数据,包括四个巴西能源子系统(400次采访)每个子系统),500家工业公司和500家商业公司;因此,调查是通过决策树进行设计的,消费者可以选择是否愿意为避免电力短缺而付款或获得一定数量的钱(或账单上的折扣)以补偿能源的不​​足。 此设计允许置信度为95%(国家/地区级别),并使空答案最小化。关于该方法,只有在必要时才使用关于消费者如何评估能源赤字的开放式问题–有大量证据表明在使用此类问题时可能存在偏见(NOAA小组)。从这个意义上讲,面向居民消费者的调查问卷将包含与受访者的收入和能源支出相符的WTP和WTA值–该价值矩阵是通过一些假设得出的,如果确实实施了配给计划以及消费者的行为。因此,我们必须模拟断电政策-在每天的高峰时段,三个月和夏季的每天一小时内-考虑需求价格弹性的基本值。这些假设允许构建将在采访中使用的WTP / WTA范围。 结果 权变评估方法是为巴西能源部门的决策者提供的一种工具。类似于 秘鲁和哥伦比亚等国家/地区,我们通过调查得出了与能源配给相关的成本 消费者的看法。结果,我们能够获得支付的平均意愿/接受的意愿。 避免来自巴西的不同类型客户的能量不足,以及哪些属性或参数更相关 解释赤字。这类分析将通过计量模型进行离散选择,例如 Probit或Logit,以估计能量短缺成本的期望值。结果也将允许更好 了解如何在必要时在巴西真正实施断电政策。 结论 客户愿意为避免能源配给而付费的意愿将不仅用于巴西的常规应用, 制定计划和操作程序,还可以改善合同设计和服务质量。我们争吵 必须定期进行实地研究,以积累知识,并始终提供新的信息 公司,政策制定者和公用事业监管机构可以使用的有关消费者偏好的信息。这 这种方法的有用性不仅限于能源部门。

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