flowchart LR M[Change in OWN<br/>price of the good] --> Mov[Movement ALONG<br/>the demand curve<br/>Expansion / Contraction] S[Change in OTHER<br/>determinants] --> Shf[Shift OF the<br/>demand curve<br/>Increase / Decrease] style Mov fill:#FFF8E1,stroke:#F9A825 style Shf fill:#E8F5E9,stroke:#2E7D32
21 Demand Analysis
21.1 Meaning of Demand
In economics, demand is not the same as desire. It is desire backed by purchasing power and the willingness to pay, expressed at a given price over a given period. Three working ideas anchor the concept (dwivedi2021?; ahuja2020?):
- A want becomes demand only when accompanied by ability and willingness to pay.
- Demand is always quoted at a price.
- Demand is a flow — quantity per unit of time.
21.2 Demand Function and Determinants
The general demand function expresses quantity demanded of a good as a function of all variables that affect it:
\[ Q_x^d = f \big( P_x,\ P_y,\ Y,\ T,\ A,\ E,\ N,\ \dots \big) \]
| Determinant | Effect on Q |
|---|---|
| Price of the good itself (\(P_x\)) | Inverse (law of demand) |
| Price of related goods — substitute (\(P_y\)) | Direct |
| Price of related goods — complement (\(P_y\)) | Inverse |
| Income of the consumer (Y) | Direct (normal); inverse (inferior) |
| Tastes and preferences (T) | Direct |
| Advertising and promotion (A) | Direct |
| Expectations of future price (E) | Direct (rising expected) |
| Number of consumers (N) | Direct |
| Distribution of income | Depends on the good’s profile |
21.3 Law of Demand
The Law of Demand states that, other things remaining the same (ceteris paribus), the quantity demanded of a good rises as its price falls and falls as its price rises. The relationship is inverse and produces a downward-sloping demand curve.
The downward slope is explained by three effects (varian2019?):
- Income effect — at a lower price, the consumer’s real income is higher, so she can afford more of the good (and of others).
- Substitution effect — at a lower price, the good is relatively cheaper than its substitutes; she switches into it.
- Diminishing marginal utility — successive units yield smaller utility, so the consumer is willing to pay less for each additional unit.
21.3.1 Exceptions to the law
| Exception | Working content |
|---|---|
| Giffen goods | Inferior goods so essential to a poor household that a price rise induces more consumption (income effect dominates substitution effect). Named after Sir Robert Giffen. |
| Veblen / conspicuous goods | Luxury goods bought for prestige; demand rises with price (Thorstein Veblen, Theory of the Leisure Class, 1899). |
| Speculative goods | When a price rise is expected to continue, demand rises with price (stock-market behaviour). |
| Necessities of life | Habit and necessity dampen the response. |
| Ignorance / quality bias | Higher price taken as a signal of higher quality. |
21.4 Movement vs Shift
A change in the good’s own price causes a movement along the demand curve (expansion or contraction). A change in any other determinant causes a shift of the demand curve itself (increase or decrease in demand).
21.5 Types of Demand
| Classification | Categories |
|---|---|
| Source of demand | Individual vs Market |
| Use | Consumer goods vs Producer goods |
| Time | Short-run vs Long-run |
| Origin | Direct (final consumer) vs Derived (input demand) |
| Relationship | Joint demand (complements) vs Composite demand (multiple uses) |
| Recurrence | Recurring vs Replacement |
| Coverage | Industry demand vs Firm demand |
| Necessity | Necessities, Comforts, Luxuries |
Derived demand is illustrated by the demand for cement (driven by demand for housing); joint demand is illustrated by car and tyre; composite demand is illustrated by electricity (cooking, lighting, manufacturing).
21.6 Elasticity of Demand
Elasticity of demand measures the responsiveness of quantity demanded to a change in one of its determinants. Three principal elasticities are tested.
| Elasticity | Definition |
|---|---|
| Price elasticity (\(E_p\)) | % change in \(Q_d\) ÷ % change in \(P\) |
| Income elasticity (\(E_y\)) | % change in \(Q_d\) ÷ % change in income |
| Cross elasticity (\(E_c\)) | % change in \(Q_d\) of X ÷ % change in \(P\) of Y |
A fourth, advertising / promotional elasticity, measures the response of quantity to a change in advertising expenditure.
21.6.1 Price elasticity — categories and formulas
Because the demand curve slopes down, \(E_p\) is negative; convention drops the sign and reports magnitude.
| Magnitude | Name | Demand curve |
|---|---|---|
| \(\|E_p\| = 0\) | Perfectly inelastic | Vertical |
| \(0 < \|E_p\| < 1\) | Inelastic | Steep |
| \(\|E_p\| = 1\) | Unit-elastic | Rectangular hyperbola |
| \(1 < \|E_p\| < \infty\) | Elastic | Flat |
| \(\|E_p\| = \infty\) | Perfectly elastic | Horizontal |
Three working methods of measurement (dwivedi2021?; ahuja2020?):
- Percentage method: \(E_p = \dfrac{\Delta Q / Q}{\Delta P / P}\)
- Total outlay method: if total expenditure (P × Q) rises when price falls → demand is elastic; if it falls → inelastic; if unchanged → unit-elastic.
- Point elasticity (geometric method): at any point on a straight-line demand curve, \(E_p = \dfrac{\text{lower segment}}{\text{upper segment}}\). At the midpoint \(E_p = 1\); above midpoint \(E_p > 1\); below midpoint \(E_p < 1\).
- Arc elasticity: average elasticity over a price range, \(E_p = \dfrac{\Delta Q}{\Delta P} \cdot \dfrac{P_1 + P_2}{Q_1 + Q_2}\).
21.6.2 Determinants of price elasticity
| Determinant | Effect |
|---|---|
| Number and closeness of substitutes | More substitutes → more elastic |
| Necessity vs luxury | Necessities → less elastic; luxuries → more elastic |
| Proportion of income spent | Larger share → more elastic |
| Time horizon | Longer time → more elastic (consumer can adjust) |
| Habit-forming nature | Addictive → less elastic |
| Number of uses | More uses → more elastic |
21.6.3 Income elasticity
| Sign / magnitude | Type of good | Example |
|---|---|---|
| \(E_y > 1\) | Superior / luxury | Foreign holidays, premium cars |
| \(0 < E_y < 1\) | Necessity | Salt, basic clothing |
| \(E_y = 0\) | Neutral | Newspaper for many |
| \(E_y < 0\) | Inferior | Coarse grain, rural buses |
21.6.4 Cross elasticity
| Sign | Relationship | Example |
|---|---|---|
| \(E_c > 0\) | Substitutes | Tea and Coffee |
| \(E_c < 0\) | Complements | Car and Petrol |
| \(E_c = 0\) | Unrelated | Salt and Mobile Phones |
21.7 Worked Numerical
A firm sells 1,000 units at ₹20 each. It cuts the price to ₹16 and sales rise to 1,200 units. Compute price elasticity.
% change in \(Q\) = (1,200 − 1,000) / 1,000 = 20 %. % change in \(P\) = (16 − 20) / 20 = −20 %. \(|E_p|\) = 20 / 20 = 1 — unit-elastic. The total outlay test confirms: 1,000 × 20 = ₹20,000 = 1,200 × 16 / (1,200 × 16 = ₹19,200 — close to but slightly below; minor difference owes to rounding in the percentage formula). For exam-grade rigour, the arc formula yields \(|E_p| = (200/2,200) ÷ (4/36) = 0.818\), inelastic. The exam answer is: percentage method gives unit-elastic; arc method gives slightly inelastic.
21.8 Demand Forecasting
A firm needs to know not just current demand but future demand. Forecasting methods divide into qualitative / survey and quantitative / statistical.
| Family | Method | Working |
|---|---|---|
| Survey | Consumer-survey method (complete enumeration / sample) | Direct questioning of buyers |
| Sales-force opinion (collective opinion) | Internal estimates by sales staff | |
| Expert opinion (Delphi method) | Iterated rounds of expert estimates | |
| Test marketing | Trial launch in a controlled market | |
| Statistical | Trend projection | Extrapolate past sales pattern |
| Barometric method | Use leading indicators (e.g., construction → cement) | |
| Regression / Econometric | Estimate demand function statistically | |
| Time-series and Box-Jenkins | ARIMA models for time-series | |
| Simulation / scenario | What-if analysis |
The Delphi method, developed at RAND Corporation, runs successive rounds of anonymous expert estimates with feedback after each round, converging to a consensus. The barometric method uses leading indicators — variables that move before the variable of interest. The econometric method fits a multi-variable demand function using regression and uses it to forecast.
21.9 Importance of Demand Analysis
Demand analysis underpins virtually every other decision the firm takes (mote2017?):
- Pricing decisions — what price clears the market.
- Production planning — how much to produce.
- Inventory and capacity decisions — buffer for fluctuations.
- Advertising and promotion — sensitivity of demand to marketing spend.
- Sales planning and HR — sales-force size, talent needs.
- Long-range planning and capital investment — when to build new capacity.
21.10 Exam-Pattern MCQs
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| Type | Income elasticity | ||
| (i) | Inferior | (a) | $E_y > 1$ |
| (ii) | Necessity | (b) | $E_y < 0$ |
| (iii) | Luxury | (c) | $E_y = 0$ |
| (iv) | Neutral | (d) | $0 < E_y < 1$ |
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| Method | Description | ||
| (i) | Percentage method | (a) | Geometric ratio of lower segment to upper segment of a straight-line demand curve |
| (ii) | Total outlay method | (b) | Average elasticity over a price range |
| (iii) | Point elasticity | (c) | Direct ratio of percentage change in quantity to percentage change in price |
| (iv) | Arc elasticity | (d) | Demand is elastic, inelastic or unit-elastic depending on whether expenditure rises, falls or stays constant when price falls |
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| Elasticity | Determinant | ||
| (i) | Price elasticity | (a) | Sign distinguishes substitutes from complements |
| (ii) | Income elasticity | (b) | Sign distinguishes inferior from normal goods |
| (iii) | Cross elasticity | (c) | Number and closeness of substitutes |
| (iv) | Advertising elasticity | (d) | Responsiveness of quantity to advertising spend |
View solution
- Demand = desire backed by ability and willingness to pay at a given price over a given time.
- Law of demand: \(Q\) ↑ when \(P\) ↓, ceteris paribus. Reasons: income effect, substitution effect, diminishing marginal utility.
- Exceptions: Giffen, Veblen, Speculative, Necessities, Quality bias.
- Movement = change in own price. Shift = change in any other determinant.
- Three principal elasticities: price, income, cross. Fourth: advertising.
- \(|E_p|\): < 1 inelastic, = 1 unit, > 1 elastic, = 0 perfectly inelastic, = ∞ perfectly elastic.
- Methods: Percentage, Total outlay, Point (geometric), Arc.
- Income elasticity: \(> 1\) luxury; \(0 < E_y < 1\) necessity; \(E_y < 0\) inferior; \(E_y = 0\) neutral.
- Cross elasticity: \(> 0\) substitutes; \(< 0\) complements; \(= 0\) unrelated.
- Forecasting methods: Survey (consumer, sales-force, Delphi, test marketing) and Statistical (trend, barometric, regression, time-series, simulation).