The S$100,000 Question: An Economic Analysis of Singapore’s COE Prices

In the global landscape of economics, few real-world examples are as stark, controversial, and illustrative as Singapore’s Certificate of Entitlement (COE). It is a system where the legal right to own a standard family car for ten years—essentially a piece of paper—can command a price exceeding S$100,000, often costing more than the vehicle it is attached to.

To the aspiring car owner, this is a source of immense frustration. To the student of Economics, however, it is one of the world’s most compelling economics case studies, a living laboratory where foundational theories of market failure, government intervention, supply and demand, elasticity, and the perennial trade-off between equity and efficiency play out in dramatic fashion.  

For any Junior College (JC) Economics student grappling with these concepts, the COE system offers a tangible, high-stakes application of what is learned in the classroom. The “crazy high” prices are not an accident, a market anomaly, or a simple policy failure. They are the deliberate and predictable outcome of a government policy that enforces extreme supply scarcity, which then collides with a potent and multifaceted array of demand forces. This analysis will dissect these forces using the essential tools of economic theory to explain precisely why that piece of paper costs a fortune, and what its future holds in a nation constantly redefining its relationship with the automobile. Further discussions will also be held during our JC Economics Tuition (A-Level) classes.

1: The Architect of Scarcity: Why the COE System Exists

To comprehend the logic behind the COE’s staggering price tag, one must first understand the problem it was designed to solve. The system is not a revenue-generating scheme by primary intent; it is a direct and forceful government intervention to correct a classic case of market failure.

The Core Problem: Market Failure on the Roads

The central economic justification for the COE system is the existence of significant negative externalities of consumption associated with vehicle use. When an individual chooses to drive, their private decision generates costs that spill over to the rest of society. These external costs include:

• Traffic Congestion: Each additional car on the road slows down every other vehicle, imposing time costs on all other users and lost productivity on the economy.
• Environmental Pollution: Vehicle emissions contribute to air pollution (harming public health) and greenhouse gas emissions (contributing to climate change).  
• Noise Pollution: The sound of traffic degrades the quality of life for those living and working nearby.
• Accidents: More cars on the road increase the statistical probability of accidents, with associated costs to life, health, and property.

In a free market, a potential car buyer considers only their Marginal Private Cost (MPC)—the price of the car, fuel, and maintenance—and their Marginal Private Benefit (MPB)—the convenience and comfort of driving. They do not factor in the external costs they impose on others. As a result, the Marginal Social Cost (MSC) of driving is significantly higher than the MPC. Left unregulated, Tthis leads to an over-consumption of cars, where the market equilibrium quantity (Qmkt) is far greater than the socially optimal quantity (Qopt), resulting in a deadweight loss to society.  

Singapore’s history provides a vivid illustration of this impending crisis. As the nation developed and affluence grew, car ownership surged. Between 1975 and 1990, the car population grew at a staggering rate of up to 12% per annum. For a small, densely populated island with finite land—only 12% of which is dedicated to roads—this trajectory was unsustainable. The government faced the prospect of gridlock, which would have severely hampered economic development and the quality of life.  

The Policy Response: The Vehicle Quota System (VQS)

Faced with this acute market failure, the Singapore government introduced the Vehicle Quota System (VQS) on May 1, 1990. While other measures like vehicle taxes (Additional Registration Fee, or ARF) and usage charges (the precursor to Electronic Road Pricing, or ERP) were already in place, they were deemed insufficient to curb the growth rate.  

The VQS represented a fundamental policy shift. Instead of using price (taxes) to indirectly influence quantity, the government chose to control the quantity directly through a quota. This approach provides certainty in achieving the desired vehicle population target. The instrument created to administer this quota is the Certificate of Entitlement (COE). A COE is not a car; it is the legal right, valid for 10 years, to register and own a vehicle in Singapore. This 10-year lifespan is a critical design feature. It ensures a predictable, cyclical churn of vehicles being deregistered (scrapped or exported), which in turn forms the basis for the supply of new COEs for the next generation of car owners.  

The System’s Blueprint: Segmentation for Equity?

The VQS is not a single, monolithic quota. Recognizing that a one-size-fits-all auction would likely result in only the wealthiest being able to afford cars, the government segmented the COE market into different categories. This was an explicit attempt to introduce an element of social equity into the system. The goal was to prevent buyers of high-end luxury cars from directly competing with and pricing out those seeking more basic, “mass-market” vehicles.  

As of the latest framework, there are five COE categories :  

Table 1: COE Vehicle Categories at a Glance

Category	Vehicle Type	Key Criteria (as of May 2022)
Cat A	Smaller/Standard Cars	Non-fully electric cars: Engine capacity ≤ 1,600cc and Maximum Power Output ≤ 97 kW (130 bhp). Fully electric cars: Maximum Power Output ≤ 110 kW (147 bhp).
Cat B	Larger/Premium Cars	Non-fully electric cars: Engine capacity > 1,600cc or Maximum Power Output > 97 kW (130 bhp). Fully electric cars: Maximum Power Output > 110 kW (147 bhp).
Cat C	Commercial Vehicles	Goods vehicles and buses.
Cat D	Motorcycles	Not based on engine size or power.
Cat E	Open Category	Any vehicle type except motorcycles. Often used for high-end cars.

This segmentation is the government’s primary structural tool for balancing the system’s efficiency goals with equity considerations. The effectiveness of this approach, particularly in the face of new market dynamics like the rise of electric vehicles, remains a central point of debate, which will be explored later.

Econs Toolkit Box 1: Negative Externalities and Quotas

To visualize the economic problem and the policy solution, consider the standard externality analysis.

• The horizontal axis represents the quantity of cars, and the vertical axis represents price.
• The Marginal Private Benefit (MPB) curve shows the demand for cars from the perspective of individual consumers.
• The Marginal Private Cost (MPC) curve represents the supply curve, or the private cost of producing and selling cars.
• The free market operates at equilibrium Emkt, where MPB=MPC, resulting in quantity Qmkt and price Pmkt.
• However, due to negative externalities like congestion and pollution, the true cost to society, the Marginal Social Cost (MSC), is higher than the MPC. The vertical distance between MSC and MPC represents the marginal external cost.
• The socially optimal equilibrium is at Eopt, where MPB=MSC, corresponding to a lower, more efficient quantity Qopt and a higher price Popt. The shaded triangle represents the deadweight welfare loss to society from the over-consumption of cars in the free market.

For more information on diagrammatic analysis for market failure, check out our market failure video.

The Vehicle Quota System (VQS) intervenes by imposing a rigid quota at or near Qopt. This creates a perfectly inelastic supply curve (the vertical red line, Squota). The market is now forced to clear at a new equilibrium, ECOE. At this point, the quantity of new cars is fixed at Qopt, and the price that consumers are willing to pay for this limited quantity is PCOE. The high price is the mechanism that rations the scarce supply among the many who demand it. (Click on to watch our video on how quota policy works. More applications of Quota policy will be conducted during our H2 Economics tuition lessons.)

The very design of the COE system is therefore one of deliberate scarcity. The high price is not an unforeseen or undesirable side effect of the policy; it is the intended mechanism through which the scarce resource—the right to own a car—is allocated. The government sets the quantity, and the competitive bidding process of the market determines the price required to clear that fixed quantity.

2: The Economics of the Bidding War: A Supply and Demand Deep Dive

Having established that the COE system’s foundation is a government-mandated quota, the analysis now turns to the market forces that determine the price within this framework. The “crazy high” prices are a direct consequence of the interaction between a uniquely rigid supply and an exceptionally dynamic demand.

The Supply Story: Perfectly Inelastic by Design

In the context of a single COE bidding exercise, which occurs twice a month, the supply of COEs is perfectly inelastic. This is a core concept for any economics student: the quantity supplied does not change regardless of price. On a diagram, this is represented by a vertical supply curve. If the price for a Category A COE were to hypothetically double from S$50,000 to SS100,000 during an auction, the Land Transport Authority (LTA) would not—and could not—release a single extra COE into that bidding exercise. The quantity is fixed.

This fixed quarterly quota is not an arbitrary number. It is calculated by the LTA based on a precise formula, which has evolved over time to manage volatility. The main components are:  

1. Replacement COEs from Deregistrations: The primary source of COE supply is the number of vehicles taken off the roads (deregistered) in the preceding period. To smooth out the “feast and famine” cycles caused by historical peaks and troughs in car buying, the LTA now uses a rolling average of deregistrations over the previous four quarters. For the quota period of February to April 2025, for instance, the supply is based on 25% of the vehicles deregistered from January to December 2024.  
2. Allowable Growth Rate: This factor dictates the net increase in the total vehicle population. In a powerful policy move reflecting Singapore’s land constraints and “car-lite” ambitions, this growth rate has been set at 0% per annum for cars (Categories A, B) and motorcycles (Category D) since 2018. For commercial vehicles (Category C), it is a marginal 0.25% per annum. A zero-growth policy means that, in principle, a new car can only be put on the road if an old one is taken off. This is the ultimate expression of supply-side tightening.  
3. Other Adjustments: The final quota is fine-tuned with adjustments for factors like changes in the taxi population, COEs that expired without being used, and vehicles replaced under the Early Turnover Scheme (ETS) for commercial vehicles.  

While supply is fixed in the short run of an auction, it is not immune to policy-driven shifts over the medium term. The government can, and does, intervene to manage the supply curve itself. Two recent interventions are particularly noteworthy:

• The “Cut-and-Fill” Strategy: To combat extreme volatility, the LTA has been bringing forward a portion of COEs that are guaranteed to be returned in future years (when a large batch of cars reaches the 10-year mark) to fill the supply troughs of the present. This smooths the supply cycle but does not increase the total number of COEs over the long run.  
• The ERP 2.0 Injection: A more significant intervention is the announced injection of up to 20,000 additional COEs starting from February 2025. This represents a genuine, albeit temporary, rightward shift of the supply curve. Crucially, the government has explicitly stated that this is only possible because the enhanced traffic management capabilities of the new satellite-based ERP 2.0 system allow for a slightly larger vehicle population without causing unacceptable congestion.  

The Demand Story: A Perfect Storm of Factors

With a perfectly inelastic supply, the entire burden of price determination falls on the demand side. Any shift in the demand curve will result in a large and volatile change in the COE premium. The record-high prices seen in recent years are not the result of a single factor, but rather a “perfect storm” of multiple, powerful demand-side drivers pushing relentlessly against the wall of fixed supply.

1. Income and Affluence (A Normal Good): Economically, cars are a normal good: as real disposable income rises, the demand for them increases, ceteris paribus. For many Singaporean households, they are also a  luxury good, meaning demand is income elastic (the income elasticity of demand, or YED, is greater than 1). A 10% rise in income could lead to a more than 10% rise in the quantity demanded at any given price. One study on car ownership decisions in Singapore found a positive income elasticity, confirming that cars are treated as a normal good, and even a necessity for commuting by those who own them. Singapore’s sustained economic growth has created a large and growing pool of affluent households with the financial capacity to bid for COEs, maintaining strong underlying demand even at high price levels.  

2. Tastes, Preferences, and Social Status (A Veblen Good?): Demand for cars in Singapore is not purely functional. Car ownership is widely perceived as a powerful status symbol, a tangible marker of success and social standing. This aspirational aspect fuels a desire for ownership that transcends mere transportation needs. For the wealthiest segment of buyers, a car can even exhibit characteristics of a Veblen good, where the high price itself enhances its prestige and desirability. The steady increase in the population of super-luxury cars like Porsche and Bentley over the last decade, a period of generally rising COE prices, is testament to a segment of demand that is highly price inelastic.  

3. Price and Availability of Substitutes: The demand for cars is intrinsically linked to the quality of its substitutes.

• Public Transport: Singapore’s world-class public transport system—the ever-expanding Mass Rapid Transit (MRT) network and comprehensive bus services—is the primary substitute. The government’s entire “car-lite” strategy hinges on making this substitute so convenient, reliable, and comfortable that it becomes the default choice for most journeys. An economic study found a high positive cross-elasticity of demand (XED) of 1.157 between public transport travel time and private transport choice, implying that a significant reduction in public transport journey times would be highly effective in persuading drivers to switch, thereby reducing demand for COEs.  
• Private-Hire Vehicles (PHVs): The rise of ride-hailing services like Grab has introduced a very close substitute to car ownership. They offer the point-to-point convenience of a car on a “pay-per-use” basis, removing the need for a large capital outlay and the hassles of maintenance. The government’s official stance is that PHVs   reduce the net demand for car ownership by providing this viable alternative.  

4. Economic Outlook and Interest Rates (Consumer Confidence): A car is a major durable good, and its purchase is often financed through loans. Therefore, demand is sensitive to broader economic conditions. A robust economy and positive consumer confidence, as seen during the post-pandemic recovery, can lead to higher demand for cars and thus higher COE prices. Conversely, rising interest rates make car loans more expensive, which can have a dampening effect on demand by increasing the total cost of ownership.  

5. The Electric Shock (A New Demand Driver): A powerful new demand shock has been the government’s successful push for the adoption of Electric Vehicles (EVs), supported by rebates and incentives. While promoting a greener vehicle fleet, this has had a significant, perhaps unintended, consequence on the COE market. The criteria for Category A are based on both engine capacity and power output. Many popular and relatively premium EV models, while having no engine capacity, have a power output that allows them to qualify for the supposedly “mass-market”  

Category A. This has led to an influx of new demand from often more affluent EV buyers directly into the Category A bidding pool, where they compete with buyers of smaller, traditional petrol cars. This increased competition is a key reason for the dramatic surge in Category A COE prices in recent years, raising serious questions about affordability for the very group Cat A was designed to protect.  

Putting It All Together: The Price Equilibrium

These powerful demand forces collide within the framework of the COE auction, a mechanism designed to find the exact price that rations the fixed supply. Since 2002, Singapore has used an open bidding system, which offers full transparency during the auction.  

The process works as follows:

• Bidding exercises are held twice a month, typically starting on a Monday and closing on a Wednesday.  
• Bidders (either individuals or dealers on their behalf) submit a reserve price—the maximum amount they are willing to pay for a COE.  
• During the auction, a Current COE Price (CCP) is displayed in real-time. The CCP is defined as the highest unsuccessful bid plus S$1. As long as a bidder’s reserve price is at or above the CCP, their bid remains “in the running.” If the CCP exceeds their reserve price, they are “out-bidded” and must revise their bid upwards to re-enter the competition.  
• The CCP continues to rise until the number of bidders still in the running equals the exact number of COEs available in the quota for that category. At this point, the auction closes.
• The final CCP becomes the Quota Premium (QP). In this uniform price auction, all successful bidders in that category pay the same QP, regardless of their individual reserve price.  

This entire process can be visualized on a supply and demand diagram. The vertical supply curve (Squota) is fixed. The various demand drivers determine the position of the demand curve (D). An increase in income, a new wave of EV buyers, or positive economic sentiment will shift the demand curve to the right (from D1 to D2). Because the supply curve is vertical, this entire demand shift is translated into a price increase (from P1 to P2), with no change in quantity. This explains the extreme price volatility that characterizes the COE market.

This diagram clearly shows the dramatic price trajectory. Prices were relatively low in early 2020, even dipping during the COVID-19 circuit breaker period. From 2021 onwards, however, as the economy recovered and demand pressures mounted, prices for both Category A and B began a steep ascent, peaking at record levels in 2023 before moderating slightly in late 2024 and 2025 following announcements of increased quota supply.  

The COE market is therefore a textbook illustration of what happens when a deliberately rigid and perfectly inelastic supply is met by the confluence of multiple powerful and dynamic demand drivers. It is not one single factor, but the combined force of rising affluence, status-seeking behavior, and new technological trends like EVs, all crashing against a government-mandated wall of scarcity. In such a market, the price must rise to whatever level is necessary to choke off excess demand, resulting in the record-breaking premiums that define car ownership in Singapore.

3: A Question of Fairness: Unpacking the Socio-Economic Debates

The COE system, while an effective tool for traffic management, is at the heart of one of Singapore’s most intense and enduring public debates. The discussion transcends mere price levels and delves into fundamental questions of fairness, equity, and the societal impact of a policy that allocates a key resource based almost entirely on purchasing power.

The Great PHV Debate: Scapegoat or Significant Driver?

One of the most prominent narratives in public discourse blames the rise of Private-Hire Vehicles (PHVs) for soaring COE prices. The argument is that large, well-funded car-leasing companies, which purchase vehicles for services like Grab, have deeper pockets than individuals and can bid aggressively for COEs, driving up prices for everyone else. This view posits that these corporate players are unfairly competing with aspiring middle-class families.  

However, the government, through the Ministry of Transport and the LTA, has consistently countered this narrative with data. The official position is that while PHVs do contribute to demand, they are not the primary driver of the recent price spikes. The evidence presented includes:

• Declining Share of Bids: The proportion of successful COE bids for Categories A and B won by car-leasing companies has been relatively small and has actually decreased as prices surged. It fell from a high of 26% in 2022 to approximately 10% in 2024.  
• Dominance of Individual Buyers: Conversely, the share of successful bids won by local individual residents has increased significantly over the same period, rising from 66% in 2022 to 84% in 2024. This suggests that the surge in demand is primarily fueled by private individuals, not corporations.  

Furthermore, the government has introduced a more nuanced argument about the role of PHVs in the transport ecosystem. Acting Transport Minister Jeffrey Siow has argued that a COE allocated to a PHV is used more “efficiently” from a societal perspective. A single PHV may serve dozens of commuters throughout the day, maximizing the utility of that one “right to use the road.” In contrast, a privately owned car is often used for only a couple of trips and remains idle for over 90% of the time. From this viewpoint, PHVs are not the problem but are part of the “car-lite” solution, providing car access on a pay-per-use basis and potentially reducing the number of people who feel they need to own a car outright.  

This perspective has informed the government’s policy decision to reject calls for a separate COE category for PHVs. Officials argue that it would be exceedingly difficult to accurately forecast demand and set the right quota for such a category. Allocating too few COEs would lead to a shortage of PHVs and higher fares for commuters, while allocating too many would shrink the pool for private buyers, causing their COE prices to spike. The conclusion is that the market is the most efficient mechanism to allocate COEs between private and private-hire use. Data charts from LTA do show that individual local buyers constitute the overwhelming majority of successful bidders, challenging the narrative that corporate PHV demand is the main culprit behind high prices. In addition, Transport Minister Mr. Jeffrey Siow also made a compelling point that allocating a new car for PHV usage is actually more efficient than allocating it to a typical individual owner as the PHV will be utilised for a lot more people and trips, which will add to greater productivity.

The Equity vs. Efficiency Trade-Off

At its core, the controversy surrounding the COE system is a textbook example of the equity-efficiency trade-off.

• Efficiency: The system is highly efficient in achieving its primary policy objective. By capping the vehicle population, it has successfully managed traffic congestion, keeping Singapore’s roads relatively smooth-flowing compared to other major cities and preventing the economic and social costs of gridlock.  
• Equity: The system’s reliance on a pure price auction mechanism is widely criticized for being inequitable. It effectively transforms car ownership from a functional good into a luxury item, accessible mainly to high-income households. This disproportionately impacts middle-income families, who may have genuine needs for a car—such as transporting young children or elderly parents, or commuting to areas poorly served by public transport—but are systematically priced out of the market. This can foster a sense of inequality and frustration, where a key aspect of mobility is perceived as a privilege reserved for the wealthy.  

This tension has led to numerous proposals aimed at making the system fairer. Two common suggestions are:

1. A Points-Based System: This would allocate COEs based on demonstrated need rather than ability to pay. Applicants would receive points based on criteria like household size, caregiving responsibilities, or living in an area with poor public transport access.  
2. A Lottery System: This would give every citizen an equal chance to obtain a COE, removing the influence of wealth from the allocation process entirely.  

The government has consistently pushed back against such proposals. The official rebuttal to a points-based system is that it would be incredibly complex and subjective. As Senior Minister of State for Transport Dr. Amy Khor questioned, “How do we pass such judgment on who needs a car more?”. There are concerns that such a system would create an opaque, bureaucratic process and could spawn an underground market for credits, potentially making the final cost to the consumer even higher and less transparent. The government’s view is that it is better to provide direct, transparent support to groups like NSmen or families with children through other means (e.g., cash bonuses) rather than through a “convoluted credit system” for cars. A lottery, while seemingly fair, would eliminate the price signal and reduce government revenue, which is used to subsidize public goods, including the public transport system that serves the majority.  

The debate over the COE is thus more than a simple argument about price. It is a proxy for a deeper societal conversation about what constitutes a public good versus a private luxury. In key areas like public housing (HDB) and healthcare, Singapore’s social compact is built on heavy government intervention and subsidies to ensure broad, affordable access. The COE system stands in stark contrast, operating as a pure, market-based rationing mechanism. This philosophical inconsistency is a major source of the social friction it generates. While the government has successfully framed congestion management as a public good that necessitates intervention, its chosen tool—a price auction—has privatized access to personal mobility in a way that clashes with the nation’s egalitarian ethos in other domains. The public’s frustration is a direct result of this clash, where the tangible high prices are seen as evidence of a system that prioritizes efficiency for the collective over equitable access for the individual.

4: The Road Ahead: A “Car-Lite” Future and the Evolution of COE

The Certificate of Entitlement system is not a static relic from 1990. It is a dynamic policy instrument that continues to evolve within the broader context of Singapore’s ambitious national transport strategy. To understand the future trajectory of COE prices and the system itself, one must situate it within the nation’s long-term “car-lite” vision and the technological advancements that are reshaping traffic management.

The End Goal: Singapore’s “Car-Lite” Vision

The ultimate policy objective guiding Singapore’s land transport strategy is the creation of a “car-lite” society. This vision, articulated in plans like the Sustainable Singapore Blueprint, aims to make walking, cycling, and public transport the predominant modes of travel for the majority of citizens. The government is investing billions of dollars to expand the MRT network, enhance bus services, and build cycling infrastructure to make these alternatives more attractive than private car use.  

Within this grand strategy, the COE system plays a crucial supporting role. Its purpose is to strictly manage the size of the residual private vehicle population, ensuring that car ownership does not undermine the national shift towards more sustainable and space-efficient modes of transport. From this policy perspective, high COE prices are not a bug but a feature. They act as a powerful financial disincentive against car ownership, nudging individuals and families towards the ever-improving public transport network. The zero-growth policy for the car population is the clearest signal of this commitment.  

The Technological Game-Changer: ERP 2.0

A pivotal development reshaping the future of this policy landscape is the rollout of the next-generation Electronic Road Pricing (ERP) 2.0 system. This represents a fundamental technological leap from the old, gantry-based ERP system to a new one based on the Global Navigation Satellite System (GNSS).  

The old system was a blunt instrument, charging a fixed fee for passing a physical gantry at a specific time. The new system is a far more sophisticated and surgical tool with two key capabilities:

1. Comprehensive Traffic Data: ERP 2.0 provides the LTA with more granular and comprehensive aggregated traffic data, allowing for a much deeper understanding of traffic patterns and congestion points across the island.  
2. Flexible Congestion Management: Because it is satellite-based, the system can operate with “virtual gantries.” This means the LTA can implement or adjust congestion charges with much greater flexibility and responsiveness, without the need to build costly physical infrastructure.  

This technological advancement creates a critical policy linkage. Because ERP 2.0 gives the government a much more powerful and precise tool to manage vehicle usage, it can afford to be slightly less restrictive on vehicle ownership. This is the explicit rationale provided by the LTA for the landmark decision to inject up to 20,000 additional COEs into the system from February 2025 onwards. The logic is that with better tools to ensure roads remain smooth-flowing, a marginally larger vehicle population can be accommodated. This marks a significant evolution in the symbiotic relationship between ownership controls (COE) and usage controls (ERP).  

The Ultimate Policy Shift? Taxing Ownership vs. Taxing Usage

The capabilities of ERP 2.0 open the door to a potential paradigm shift that transport economists have long advocated for: moving the policy focus from taxing ownership to taxing usage. The economic argument is that it is more efficient to directly tax the negative externality—the act of driving and causing congestion—rather than indirectly taxing the ownership of the asset that enables it.  

ERP 2.0 makes distance-based charging technologically feasible. This would be a system where motorists pay per kilometer driven, with rates that could vary by time of day, location (e.g., congested city center vs. uncongested expressway), and even the emission level of the vehicle. It would be the most direct way to internalize the external costs of driving.  

Such a shift would have profound implications for the COE system. If the cost of using a car were to increase significantly through distance-based charging, the government could theoretically reduce the high upfront cost of owning one. This could mean substantially lower COE prices. The government has already signaled this possibility, stating that if distance-based charging is implemented in the future, “there is scope to consider a further injection of additional COEs”. While no decision has been made, this points to a potential long-term future where the primary policy burden for managing congestion shifts from the COE to the ERP system, fundamentally altering the cost structure of motoring in Singapore.  

Conclusion: What This Means for the JC Student

The story of Singapore’s COE is a rich and evolving narrative of economic principles in action. The “crazy high” prices are not a mystery but the logical outcome of a clear policy choice: to combat the market failure of traffic congestion through a system of deliberate and extreme supply scarcity. This perfectly inelastic supply, dictated by a quota system with a zero-growth target, inevitably clashes with a powerful and multifaceted demand fueled by rising affluence, aspirational desires, and new technological trends. The resulting high price is the market’s mechanism for rationing this scarcity.

However, the system is far from static. It is a dynamic policy tool that exists in a symbiotic relationship with other interventions, most notably the ERP system and the national push towards a “car-lite” society. The advent of ERP 2.0 is a game-changer, providing more sophisticated tools to manage vehicle usage, which in turn allows for a measured increase in vehicle ownership. This hints at a future where the policy focus may gradually shift from making cars expensive to own, to making them more expensive to use.

For the student of A-Level economics, the COE system is an unparalleled case study. It forces a nation to make difficult, real-world choices about resource allocation, market failures, and the fundamental trade-off between the efficiency of the collective and the equitable aspirations of the individual. It demonstrates how government intervention, market forces, and social values interact to shape economic outcomes. In the ongoing quest to balance mobility with liveability in a land-scarce nation, the S$100,000 question of the COE will continue to provide invaluable lessons for generations to come.

For more of such real-world application of economics concepts within the Singapore context, join our fun and rigorous A-Level Economics Tuition classes today!