Tariff freezes, demand growth and the grace time of electricity distribution networks: Evidence from Buenos Aires
Using firm-level data from Buenos Aires, this paper demonstrates that electricity distribution quality deteriorates primarily due to demand outgrowing stagnant capacity rather than capital depreciation, allowing for the calculation of a "grace time" that defines the optimal duration of tariff freezes before outage costs outweigh their benefits.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
In the modern world, electricity is often treated as a constant, flowing reliably from the wall socket to the lamp or the refrigerator. Yet this reliability depends on a delicate balance between two forces: the physical strength of the wires and transformers that carry the power, and the amount of power people actually ask for. When the price of electricity is kept artificially low, often by government order to help struggling families, two things happen. First, the utility companies that own the wires have less money to spend on fixing or upgrading their equipment. Second, because the power is cheap, people use more of it, often buying air conditioners or electric heaters they might otherwise avoid. For a long time, it was unclear how long a system could survive this pressure before the lights began to flicker and go out.
A researcher named Juan Pablo Manini set out to answer this question by looking at the electricity networks in the Buenos Aires metropolitan area. He focused on a specific period that began in 2002, when the government froze the price of electricity in real terms, meaning the price did not rise even as the value of money fell. This created a situation where the cost to run the network was far higher than the money coming in from customers. The central question was not just whether the quality would eventually drop, but how long it would take for that drop to become noticeable. Would the system fail because the old wires simply wore out from age, or because the network became too crowded with too many users?
Manini gathered detailed records from the two main companies that serve the region, Edenor and Edesur, covering the years from 1997 to 2024. He reconstructed the actual physical size of their networks, accounting for how much they spent on new equipment versus how much their old equipment decayed. He also tracked the exact amount of energy sold to customers and the official records of how long power outages lasted, measured in hours per customer. By comparing these numbers, he discovered that the quality of service did not fail because the wires were physically breaking down. In fact, the physical capital of the networks remained relatively stable for nearly a decade after the price freeze began. The problem was not that the network was shrinking; it was that the demand for electricity was growing much faster than the network could expand.
The study found that the relationship between the size of the network and the number of users is continuous, meaning there is no hidden safety margin that protects the system until a sudden breaking point is reached. Instead, every time the network became slightly more crowded relative to its size, the frequency and duration of power outages increased steadily. For one of the companies, a ten percent drop in the ratio of network capacity to demand led to a twenty to thirty-five percent increase in the time customers spent without power. This effect was even stronger for the second company. The research also showed that this deterioration was not caused by extreme weather, such as heat waves, which often coincide with high demand. Even when accounting for temperature, the crowding of the network remained the primary driver of failures.
Using these findings, the researcher calculated a "grace period," which is the time it takes for a system to deteriorate to a specific level of bad service after prices are frozen. The length of this period depends heavily on how fast demand is growing. If demand is rising quickly, as it was in Buenos Aires during the study period, the system can only tolerate a freeze for about three to seven years before outages become significantly worse. If demand were to stay flat, the system could last much longer, perhaps more than fifteen years, even with limited investment. The study also explored the perspective of a regulator deciding how long to keep prices frozen. It suggests that if a regulator only cares about the immediate political benefit of low prices and ignores the long-term cost of fixing the network later, they will keep the freeze in place for far too long—roughly one and a half to two times longer than is economically sensible.
The paper concludes that the deterioration of service after a price freeze is not a mystery of aging infrastructure, but a predictable result of demand outpacing supply. The system did not collapse because the wires rotted; it collapsed because too many people were trying to use a network that was not growing fast enough to keep up. This insight offers a clear warning for policymakers: keeping prices low for too long does not just delay investment; it actively accelerates the decline of service quality by encouraging more consumption. The window of apparent normality is short, and once it closes, the cost of restoring reliability is far higher than the short-term savings provided by the freeze.
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