Introduction

Food delivery looks simple from the consumer’s side. You open an app, compare restaurants, choose a meal, pay a delivery fee, and wait for a rider to arrive. Yet behind that ordinary decision is a dense microeconomic system. A platform must attract consumers, restaurants, and riders at the same time. Restaurants must decide whether the extra sales from delivery are worth the commission fees and operational pressure. Riders respond to pay, distance, weather, waiting time, and risk. Consumers compare convenience against price, delivery time, food quality, and available alternatives.

This book studies that system using microeconomics. Microeconomics is the branch of economics that analyzes how individual decision makers—such as consumers, firms, workers, and regulators—make choices under constraints, and how those choices interact in markets. A food delivery platform is a useful case because almost every core topic in undergraduate microeconomics appears in one familiar setting: demand, supply, elasticity, market power, information problems, pricing strategy, welfare, and competition policy.

The goal is practical as well as analytical. By the end of the book, you should be able to write a clear undergraduate policy analysis for Malaysia’s food delivery industry. That analysis should identify one competition or welfare issue, explain it using microeconomic reasoning, propose one focused recommendation, and predict the likely effects on consumers, restaurants, riders, platforms, and market competition.

Why food delivery is a serious microeconomic case

A market is not merely a place where buying and selling occurs. In economics, a market is a set of arrangements through which buyers and sellers interact to exchange goods or services. In food delivery, the market is not just “food.” It includes restaurant meals, delivery labor, digital matching, payment processing, ranking algorithms, consumer attention, data, and platform access.

Consider a simple example. A consumer wants nasi lemak delivered during lunch. The listed menu price is RM12. The app adds a delivery fee and perhaps a service fee. The restaurant may have already increased its app menu price to help cover the platform commission. The rider receives payment for completing the delivery, but the rider also spends time waiting at the restaurant and travelling through traffic. The platform earns revenue from fees, commissions, advertising, or other charges, but it must spend on technology, customer support, promotions, and rider or merchant incentives.

One order therefore involves several linked decisions:

• the consumer’s decision about whether convenience is worth the total price;
• the restaurant’s decision about whether platform orders are profitable;
• the rider’s decision about whether the job is worth the expected earnings and effort;
• the platform’s decision about prices, commissions, promotions, ranking, and matching;
• the regulator’s decision about whether market outcomes are sufficiently competitive and fair.

Microeconomics helps us organize these decisions instead of treating them as isolated complaints. A high delivery fee, for example, may reduce consumer demand. A high commission fee may reduce restaurant margins. A low rider payment may reduce rider supply and worsen delivery times. A large voucher campaign may benefit consumers immediately but make it harder for smaller competitors to survive if the campaign is financed by a dominant platform with deep resources. The central task is to trace cause and effect carefully.

Scarcity, trade-offs, and opportunity cost

The first principle of economics is scarcity. Scarcity means that resources are limited relative to wants. Time, money, kitchen capacity, rider availability, app visibility, and consumer attention are all scarce.

Because resources are scarce, choices involve trade-offs. A trade-off occurs when gaining more of one objective requires giving up some of another. A platform may want lower consumer prices, higher restaurant participation, faster delivery, higher rider earnings, and higher profit. It usually cannot maximize all of these at once. If the platform lowers delivery fees to attract consumers, it must recover costs somewhere else, perhaps through restaurant commissions, advertising fees, subscription plans, or lower margins. If it raises rider incentives to improve service during rain or peak hours, its cost per order rises.

The cost of a choice is not only the money paid. Economists use the term opportunity cost to mean the value of the best alternative that is given up when a decision is made. This concept is standard in microeconomic analysis because it forces us to compare choices against realistic alternatives, not against an imaginary world with no cost (Varian, 2014).

For example, suppose a restaurant accepts many delivery orders during dinner. The direct benefit is more sales. The opportunity cost may include slower service for dine-in customers, more kitchen stress, packaging costs, and the possibility that staff cannot prepare higher-margin dine-in meals. Similarly, a consumer who orders delivery avoids travel and waiting at the restaurant, but pays extra charges and may receive food that is less fresh than dine-in food. The opportunity cost of delivery is not only the ringgit spent; it also includes the value of the best alternative, such as cooking at home, takeaway, or eating at the restaurant.

This way of thinking matters for policy. A recommendation that lowers one visible price may raise another less visible cost. A commission cap, for instance, might reduce restaurant costs, but if platforms respond by increasing consumer fees or reducing service quality, the welfare effect is more complex than it first appears. Good analysis does not stop at the first effect.

Platforms are not ordinary single-sided firms

A food delivery company is often called a platform because it creates an environment where different groups interact. In this book, a platform is a business that enables transactions or interactions between distinct user groups. In food delivery, the main groups are consumers, restaurants, and riders.

Many traditional firms are single-sided in a simpler sense: they buy inputs, produce output, and sell to customers. A bakery buys flour and labor, bakes bread, and sells bread to consumers. A food delivery platform is different because its value to one group depends on participation by another group. Consumers value the platform more when more restaurants are available. Restaurants value the platform more when more consumers use it. Riders value the platform more when there are enough orders to make working worthwhile, and consumers value it more when there are enough riders to deliver quickly.

Economists call this a two-sided market or, more generally, a multi-sided market. A two-sided market exists when a platform serves two distinct groups whose participation decisions are interdependent, and the platform’s pricing structure affects the volume and value of interactions between them. Foundational work by Rochet and Tirole shows that the structure of prices across sides of the platform—not only the total price level—can determine market outcomes (Rochet and Tirole, 2003). Armstrong also explains how competition in two-sided markets differs from ordinary market competition because each side’s demand depends partly on the other side’s participation (Armstrong, 2006).

For example, a platform might charge consumers low delivery fees and restaurants high commissions. Another platform might charge restaurants lower commissions but consumers higher delivery fees. Even if both platforms collect the same total revenue per order, the market outcome may differ because consumers and restaurants respond differently to prices. If consumers are very sensitive to delivery fees, a platform may subsidize consumers to increase demand and recover revenue from restaurants. If restaurants strongly need access to platform customers, they may tolerate higher commissions. This is called cross-side pricing, meaning that the platform sets prices on one side partly to influence participation and revenue on another side.

This is why food delivery pricing can appear confusing. The price paid by the consumer is not the whole price of the transaction. The restaurant may pay a commission. The rider receives compensation. The platform may provide promotions or impose fees. A rigorous analysis must examine the whole price structure.

Network effects and concentration

A key concept in platform markets is the network effect. A network effect exists when the value of a product or service to one user changes as more users participate. In food delivery, the most important form is usually an indirect network effect: consumers benefit when more restaurants join, and restaurants benefit when more consumers join. This differs from a direct network effect, where users benefit directly from more users of the same group, such as people joining the same communication network. Katz and Shapiro’s classic analysis explains how network effects can influence competition, adoption, and compatibility in technology markets (Katz and Shapiro, 1985).

Network effects can improve welfare. A larger platform may match consumers and restaurants more efficiently, offer wider restaurant variety, reduce search costs, and support better logistics. But network effects can also create market concentration. Once a platform becomes large, it may become more attractive simply because it is already large. Consumers may prefer the app with more restaurants. Restaurants may prioritize the app with more customers. Riders may work more actively on the app with more orders. This feedback loop can make it difficult for smaller platforms to compete.

Market concentration is not automatically harmful. A large platform may have economies of scale, meaning average cost falls as output increases. For example, software development, mapping systems, fraud prevention, and customer support may be cheaper per order when spread across many transactions. However, concentration becomes a concern when it creates market power.

Market power is the ability of a firm to profitably raise price, reduce quality, restrict choice, or worsen trading terms relative to what would occur under effective competition. In food delivery, market power may appear in several forms: higher restaurant commissions, reduced transparency in search rankings, weaker incentives to improve service, or consumer lock-in through loyalty programs and subscriptions. Competition policy for platform markets therefore requires a careful balance. We must not punish scale merely because it exists, but we must also not ignore conduct that weakens rivalry or harms welfare.

Malaysia’s Competition Act 2010 prohibits anti-competitive agreements and abuses of dominant position in Malaysian markets, providing the legal background for analyzing competition problems in industries including digital platform services (Laws of Malaysia, 2010). This book is not a law textbook, but it uses microeconomics to help you understand the economic logic behind competition concerns.

Welfare: more than low prices

The word welfare in microeconomics does not mean charity or government assistance. It refers to the well-being that market participants obtain from economic activity. In undergraduate analysis, welfare is often studied through surplus.

Consumer surplus is the difference between what consumers are willing to pay and what they actually pay. If a consumer would be willing to pay RM20 for a delivered meal but pays RM16 in total, the consumer surplus from that order is RM4. Producer surplus is the difference between the price a seller receives and the minimum amount the seller would accept to supply the good or service. For a restaurant, producer surplus is related to revenue above avoidable costs; for a rider, it is related to earnings above the minimum compensation required to make the delivery worthwhile. These surplus concepts are standard tools for evaluating market outcomes in intermediate microeconomics (Varian, 2014).

However, food delivery welfare is multidimensional. Consumers care about the total price, but also about restaurant variety, delivery speed, reliability, food condition, refund rules, app usability, and information transparency. Restaurants care about order volume, margins, customer access, bargaining power, data, and operational control. Riders care about earnings, waiting time, safety, flexibility, and predictability. Platforms care about profit, growth, data, reputation, and long-run viability.

A policy that improves one dimension of welfare may worsen another. Suppose a regulator caps restaurant commissions. Restaurants may gain higher margins. If platforms respond by raising consumer fees, some consumers may order less often. If platforms reduce marketing support or delivery coverage, some small restaurants may lose visibility. If the cap attracts more restaurants and increases platform variety, consumers may benefit in the long run. The final welfare effect depends on elasticities, pass-through, platform strategy, and competitive responses. This is why the book repeatedly asks not only “Who benefits?” but also “Through what mechanism, and compared with what alternative?”

The central policy task of this book

The final aim of the book is not to produce a long list of complaints. A strong policy analysis usually does something narrower and more disciplined: it identifies one important issue and proposes one recommendation that directly addresses that issue.

An issue is not just something undesirable. It must be framed as an economic problem with a cause. “Food delivery is expensive” is too broad. “High platform commissions may be passed through into higher menu prices and may reduce restaurant participation, especially when restaurants have weak bargaining power because consumers single-home on a dominant app” is a stronger issue. It identifies actors, incentives, and a mechanism.

A recommendation is not a slogan. It is a proposed intervention with a working logic. For example, “make the industry fairer” is too vague. A more precise recommendation might be: require clearer disclosure of total consumer charges and sponsored rankings; prohibit exclusive arrangements that prevent restaurants from multi-homing; create targeted rules that increase data portability for restaurants; or impose a carefully designed commission cap with review conditions. This introduction does not choose the final recommendation for you. Later chapters will teach you how to diagnose the issue and select one recommendation that fits the evidence.

The best recommendation is not necessarily the most aggressive one. A strict rule can create unintended consequences if it changes incentives in harmful ways. For example, a commission cap may help restaurants but could lead platforms to raise consumer fees, reduce promotions, or reduce service investment. A transparency rule may improve consumer choice with lower risk, but it may be insufficient if the core problem is exclusionary contracting. An anti-exclusivity rule may improve restaurant multi-homing, but enforcement may be difficult if exclusivity is hidden through preferential ranking or loyalty conditions. Microeconomic reasoning helps compare these trade-offs.

How the chapters build your analysis

The book begins with the basic economic problem: scarcity, incentives, trade-offs, and opportunity cost. It then studies consumers, restaurants, elasticity, and market structure. These early chapters give you the standard undergraduate toolkit.

The middle chapters explain why platform markets require additional tools. You will study two-sided markets, network effects, consumer lock-in, commissions, pass-through, rider labor supply, information asymmetry, ratings, and search costs. These topics connect everyday platform features—vouchers, rankings, delivery fees, subscriptions, and algorithmic allocation—to economic theory.

The later chapters turn theory into policy analysis. You will learn how to diagnose a core issue in Malaysia’s food delivery industry, design one focused recommendation, and evaluate the expected effects on consumers, businesses, riders, and competition. The final chapters show how to use evidence, diagrams, and argument structure to write a complete undergraduate policy proposal.

A useful habit throughout the book is to ask four questions whenever you encounter a claim:

1. Which decision maker is changing behavior?
   Is it the consumer, restaurant, rider, platform, or regulator?

2. Which incentive changed?
   Did a price, fee, commission, waiting time, ranking rule, or outside option change?

3. What is the mechanism?
   How does the incentive change lead to a change in demand, supply, participation, quality, or competition?

4. What is the welfare effect?
   Who gains, who loses, and what happens to total surplus, consumer surplus, business viability, and long-run competition?

These questions keep the analysis disciplined. They also prevent a common mistake: assuming that a policy is good simply because its intention is good. In microeconomics, outcomes depend on incentives and constraints.

A first example: platform commission and consumer welfare

To see the book’s method, consider a simplified example. Suppose a food delivery platform charges restaurants a high commission on each order. A restaurant with thin margins may respond by raising its app menu prices. Consumers then face higher total prices. Some consumers continue ordering because delivery is convenient; others switch to takeaway, dine-in, or cooking at home. If many restaurants raise prices or leave the platform, consumers may face less variety. If the platform uses the commission revenue to fund delivery efficiency, app improvements, or promotions, some consumer benefits may offset part of the cost.

This example contains several microeconomic ideas. The restaurant faces marginal costs and commission costs. Consumers respond according to price elasticity of demand. The platform uses cross-side pricing. Pass-through determines how much of the commission appears in consumer prices. Welfare analysis compares consumer surplus, restaurant surplus, rider outcomes, and platform profit. Competition analysis asks whether restaurants can switch to rival platforms or sell directly to consumers. If restaurants cannot easily switch because most customers use one dominant app, the platform may have bargaining power.

A weak analysis would say, “Commissions are high, so the government should lower them.” A stronger analysis asks: Are commissions high relative to costs and value created? Are restaurants able to multi-home across platforms? How much of the commission is passed through to consumers? Would a cap improve restaurant participation and consumer variety, or would it lead to higher delivery fees? Are there less intrusive alternatives, such as transparency rules or anti-exclusivity rules? The chapters ahead teach you how to answer these questions step by step.

The standard of reasoning expected

This is an undergraduate book, but it expects careful reasoning. You do not need advanced mathematics, but you do need precision. When you use a concept such as market power, elasticity, consumer surplus, or network effect, you should be able to define it, apply it, and explain its limits.

You should also distinguish evidence from assumption. Evidence may include platform terms, commission structures, consumer prices, restaurant participation, regulatory documents, academic research, news reports, and industry data. Assumptions are sometimes necessary, especially when data are incomplete, but they should be stated clearly. For example, if you assume consumers are highly sensitive to delivery fees, say so and explain what evidence would support or weaken that assumption.

The book’s perspective is not anti-platform. Food delivery platforms can create real value by reducing search costs, expanding restaurant reach, coordinating delivery logistics, and increasing convenience. Nor is the book pro-platform in an uncritical way. Platforms can also acquire market power, shift costs to weaker participants, reduce transparency, and create barriers to entry. The purpose is to analyze these possibilities using microeconomics rather than intuition alone.

By the end, your policy recommendation should be modest enough to be realistic, focused enough to be testable, and rigorous enough to show how it affects consumers, businesses, riders, and market competition. That is the central pathway of this book.

References

Armstrong, M. (2006). Competition in two-sided markets. The RAND Journal of Economics, 37(3), 668–691.

Katz, M. L., & Shapiro, C. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424–440.

Laws of Malaysia. (2010). Competition Act 2010 (Act 712).

Rochet, J.-C., & Tirole, J. (2003). Platform competition in two-sided markets. Journal of the European Economic Association, 1(4), 990–1029.

Varian, H. R. (2014). Intermediate Microeconomics: A Modern Approach (9th ed.). W. W. Norton & Company.