电费上涨对Eskom顶级客户群体的经济影响建模

M. J. Cameron, R. Rossouw
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引用次数: 3

摘要

随着南非能源价格的迅速和急剧上涨,能源成本正在成为能源密集型工业或依赖能源的工业中不可忽视的一个因素。例如,在能源密集型工业中,这种即时和直接的观点可能导致因消耗大量电力而大大放大的成本的产生。因此,很少有人会否认电力作为生产和一般经济活动的基本投入的重要性。基于这样一个事实,电价的变化基本上影响到南非的每一个人,更具体地说,影响到能源公用事业供应商的核心业务,确定其对每一个实体的影响是很重要的。开发一个分析性的生产成本倾倾度模型,结合南非应用一般均衡模型的全经济建模能力,将有助于确定在任何特定情况下市场力量发挥作用的潜在影响。因此,本文的目的是通过确定对南非经济的更广泛的潜在经济影响,帮助人们了解电价上涨对能源公用事业供应商的主要资产(其客户)的影响。因此,该框架的价值在于,它将提供战略背景,使人们能够更好地了解电价上涨对能源密集型和依赖能源的行业的影响,同时还向主要利益攸关方通报客户运营环境的潜在变化对能源公用事业提供商的潜在收入风险影响。由于潜在的第二轮反馈效应,对南非的其他行业和更广泛的市场也有影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modelling the Economic Impact of Electricity Tariff Increases on Eskom’s Top Customer Segment
With the rapid and sharp rise in energy prices in South Africa, the cost of energy is becoming a factor that cannot be ignored in either energy-intensive or -dependent industries. In the energy-intensive industries, for examp le, this immed iate and direct perspective can result in the incurring of costs that are greatly magnified by the large amount of power consumed. Few would therefore deny the importance of electricity as an essential input to production and to economic activity in general. Based on the fact that changes in electricity prices impact on basically each and every individual in South Africa, and mo re specifically on an energy utility provider's core business, it is important to determine its effect on each of these entities. The develop ment of an analytical Cost of Production Tipping Po int (CoPTP) model, combined with the economy-wide modelling capabilit ies of an Applied General Equilib riu m (A GE) model for South Africa, will help to determine what the potential impact would be, given the market forces at play at any particular instance. The aim of this paper is therefore to help develop an understanding of the impact of increasing electricity prices on an energy utility provider's main assets - its customers, by determining the broader potential economic impact on the South African economy. The value of this framewo rk is therefore that it will provide strategic context, will allow for a better understanding of the influence of electricity price increases on both energy-intensive and -dependent industries, while also informing key stakeholders regard ing imp lications of potential changes in customer operational environ ments to an energy utility provider in terms of potential revenue risk implications, as well as to the rest of industry and the broader market in South Africa due to potential second round feedback effects.
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