Poverty and Inequality

Absolute poverty and relative poverty look like a pair of definitions to memorise side by side, and treating them that way is exactly what this exam punishes hardest on the whole spec point: an examiner report on the real relative-poverty definition question found only 6% of candidates reaching full marks, with "a few students confused relative poverty with absolute poverty" recorded as a specifically named error. The two aren't variations on one idea — they're answers to two different questions, and the difference only becomes visible once you see what each threshold is actually anchored to.

Absolute poverty asks: can this household afford a fixed basket of basic necessities — food, clean water, shelter — regardless of what anyone else in the country earns? An examiner report confirms this half is well answered when candidates describe it as being "unable to meet the basic necessities e.g. food/shelter." The threshold is fixed in real terms, adjusted only for inflation so its purchasing power doesn't drift — which is exactly why absolute poverty CAN fall to zero in principle: once every household's real income clears the fixed basket's cost, absolute poverty is gone, full stop, independent of how unequally the income above that line happens to be distributed.

Relative poverty asks a structurally different question: is this household's income low enough, relative to everyone else's income right now, to count as poor by the standards of this particular society at this particular time? The threshold is set as a fraction of the current median income — moving every time the median moves — which means relative poverty can never fall to zero by construction unless the entire income distribution collapses to a single point. It measures a household's position within the distribution, not its command over a fixed basket of goods — a genuinely different quantity, not the same quantity read on a different scale.

That distinction is exactly what produces the 6%-full-marks trap: defining relative poverty as simply "income below the median." As PQ1 above derives, exactly 50% of any population sits below its own median by construction — a "poverty rate" that always reads 50% regardless of how equal or unequal the distribution actually is carries no information at all. The real threshold sits below the median, typically a fixed fraction of it (60% of median income is the convention most commonly used in policy work), precisely so the share of the population falling under that lower bar can move as the shape of the distribution changes — which is the entire point of measuring it.

The spec's "measures" of poverty (4.3.4.1.b) are, in practice, headcount measures: the proportion of a population falling below whichever poverty line — absolute or relative — is being applied. A finer alternative is the poverty gap: how far below the line the average poor household actually sits, not just whether it's below it at all. The two can move in different directions from the same policy: a transfer that lifts many households just over the line collapses the headcount rate sharply while barely denting a gap measure that only households far below the line still contribute heavily to — a genuine, evaluable distinction, not a technicality.

The spec names seven causes of a change in a country's poverty rate (4.3.4.1.c) — growth, education/training, welfare, tax structure, structural change, aid, civil war/conflict — and each works through a different channel. Growth only reduces poverty to the extent the resulting income actually reaches households below the line, which is precisely why "the economy grew" is never a sufficient answer on its own (see the mechanism and worked chain below). Education and training raise a worker's productivity, and in a competitive labour market a wage tracks a worker's marginal revenue product — the extra revenue their labour generates — so raising productivity raises the wage a worker can command directly, not just correlates with it. Welfare payments and tax structure work on the same side of the same equation, a household's post-transfer, post-tax income: a progressive tax structure funds transfers that can raise a household above a line directly, without its market income changing at all. Structural change — a shift in which sectors and skills an economy rewards — can raise average income economy-wide while pushing specific groups into poverty, since workers whose skills matched the old sector's demand don't automatically retrain and relocate the moment demand shifts; the mismatch is the same mechanism behind structural unemployment showing up as a poverty cause instead of an unemployment one. Aid and civil war/conflict sit at opposite ends of the same channel — a direct shock to a country's productive capacity, rather than a change in how existing income is distributed: aid can raise incomes directly or fund the infrastructure, health and education that lift future productivity, though its effectiveness is genuinely contested rather than automatic; civil war and conflict push in the opposite direction far more violently, with destroyed capital, disrupted markets and displaced populations able to raise both absolute and relative poverty sharply and quickly.

The spec's first inequality distinction (4.3.4.2.a) is wealth inequality versus income inequality, and the two aren't the same quantity measured twice. Wealth is a stock: the value of assets someone owns — property, savings, shares, a pension pot — minus their debts, measured at one point in time, exactly as PQ3 above tested directly. Income is a flow: earnings received over a period — wages, profit, rent, interest. A household can rank high on one and low on the other, as PQ3's retiree and graduate show, which is precisely why a question that names one is not answered by discussing the other.

Wealth inequality is larger than income inequality in almost every economy for which both are measured — a well-established empirical regularity, not a coincidence needing a separate explanation — and it's what income inequality does once you let it run for more than one year. A higher earner has proportionally more left over to save (a higher marginal propensity to save) than a lower earner spending most of each additional dollar on necessities — and every year that saved surplus compounds: it earns its own return, which is itself added to next year's stock, which earns a return the year after. A gap in income, repeated and reinvested year after year, mechanically grows into a much larger gap in wealth before a single pound of inheritance ever changes hands — and inheritance, where it exists, adds directly to the stock in one generational step on top of that compounding. This compounding has a name and an exact threshold, not just an intuition — Thomas Piketty's r>g argument, from Capital in the Twenty-First Century — set out in full in the beyond-spec note below.

Because both wealth and income inequality are distributions rather than single numbers, the spec's own measurement tool — the Lorenz curve and Gini coefficient (4.3.4.2.b) — can be drawn for either one. Whichever axis you're measuring, the shape of the curve and the logic behind the coefficient don't change; only which stock or flow the numbers underneath it are counting does.

Within a country (4.3.4.2.c), income and wealth inequality track differences that show up directly in factor markets: wage gaps driven by skill, education and occupation (the same marginal-revenue-product logic from the poverty section, running at the top of the distribution as well as the bottom); unequal ownership of wealth-generating assets, often inherited rather than earned; discrimination that prices otherwise-identical workers differently; and employer market power — a monopsony (covered in Monopsony): a labour market with few enough buyers of a given type of labour that the employer itself sets the wage rather than taking it as given, holding pay below what a genuinely competitive labour market would pay. Between countries, the same underlying logic operates at the level of whole economies: differences in resource endowments and historical patterns of ownership, differences in accumulated human capital and education systems, differences in institutional quality that affect how much of a country's own income its citizens actually keep, and differences in access to global trade and capital — the same foreign direct investment flows that raise a recipient country's average income can also concentrate the gains in whichever sector or region attracts the investment, widening inequality within the very country that benefited on average.

A real Section C essay built exactly on this sub-point ("evaluate possible causes of an increase in income inequality within a developed country," set against Sweden and the USA, 2007–2022 — January 2024, Q8) names several further causes, each working through its own separate channel rather than restating one of the mechanisms above under a new label. Pension provision is one: many employers have closed final-salary (defined-benefit) pension schemes in favour of defined-contribution ones whose payout tracks investment performance rather than a guaranteed formula, and a retired household's own cost of living has often risen faster than the general inflation rate used to index many benefits, since a pensioner's spending basket is weighted more heavily toward council tax, fuel and food than a working-age household's is. Immigration of unskilled labour adds directly to the supply of workers competing for the lowest-paid jobs, pushing down the wage a competitive labour market settles at for that segment specifically — sharper still wherever a share of that labour works informally, for cash, below the national minimum wage. And the bargaining power that once held wages above their pure market-clearing level for large parts of the workforce has itself eroded, as an increasingly flexible labour market shifts workers from full-time, unionised employment onto part-time or zero-hour contracts carrying far less collective weight.

Four more of the same question's named causes work through policy and shock channels rather than the labour market directly. Deregulation and privatisation — a specific pair of macroeconomic policy choices, not a vague "the market did it" — shift asset ownership from state hands into private ones, and where that ownership concentrates rather than spreading broadly, the income those assets generate concentrates with it. Cutting out-of-work or in-work benefits removes income directly from the households that received it without any change to their market wage at all — the same tax-and-transfer channel the free-market paragraph below names, working here in the direction that WIDENS the gap; running the same channel in reverse, a rise in regressive indirect taxes or a cut to progressive taxes on income and wealth raises post-tax inequality directly, the exact mechanism MCQ4 above runs the other way to narrow it. Relatedly, where a state raises pension provision for existing retirees faster than support for working-age or younger households, inequality can open up BETWEEN generations even while one cross-sectional Gini snapshot doesn't separate the two apart. A rising unemployment rate removes market income entirely from the households it hits — a blunter, more immediate channel than any wage-differential mechanism above, and one the real mark scheme treats as its own standalone cause rather than folding into "wages." The 2020–2022 global health crisis is a genuine, dateable shock in the same vein: it hit unevenly by age and sector, with younger workers disproportionately concentrated in the hospitality, retail and other face-to-face roles that shut down hardest, losing income and employment at a higher rate than older workers in more insulated occupations. And monopoly power operates on the OUTPUT side of a firm's activity rather than the input side monopsony (above) covers: a firm facing little competition in the market for what it sells can extract higher prices and, with them, higher profits than a competitive market would allow — profits that flow disproportionately to owners and top executives rather than the wider workforce, widening the gap between labour income and capital income even in an otherwise-competitive labour market.

Which of these causes a Level 4 answer should treat as decisive is itself the evaluation the real mark scheme rewards, not an afterthought bolted onto a list — and a cause dominant in one country needn't dominate in another, depending on that country's own redistribution policy and institutional setting. No single cause above is likely to explain a developed economy's rising income inequality alone: a combination is the more defensible claim, and so, separately, is the possibility that measured differences reflect lifestyle choices rather than any of the named causes at all. Whether a described "rise" is even large enough to be significant matters too — different causes dominate at different points in time, so a Gini coefficient moving from 0.30 to 0.31 over a decade calls for a different evaluative register than one moving from 0.30 to 0.40, and treating every reported rise as equally dramatic hasn't yet evaluated anything. What is actually being measured is a genuine caveat in its own right: a Gini coefficient computed on gross income tells a different story from one computed on income after tax and transfers, and a rise reported for one is not automatically a rise in the other. None of this touches wealth at all — a full evaluation has to note explicitly that a discussion of causes of INCOME inequality says nothing about what wealth inequality is doing over the same period, which, by the compounding mechanism above, is very often moving further and faster. Globalisation itself cuts both ways here, not just one: the same trade and FDI flows credited above with widening the wage gap between skilled and unskilled workers have also, through greater economic integration and cheaper imported goods, been credited with helping to LOWER measured inequality in some contexts — a genuinely two-sided cause, and an answer asserting only the widening half has told half the story. And any of the above is only as trustworthy as the underlying income data, which is often incomplete or inconsistently collected across a whole population — a limitation distinct from the Gini coefficient's own grouped-data approximation covered earlier: this one is about the raw figures going into the calculation, not the curve fitted through them.

The spec names six impacts of inequality (4.3.4.2.d), and they come in genuine pairs. Enterprise and incentives: some inequality is the market's own incentive mechanism working as intended — an entrepreneur who bears the real risk of a venture failing is rewarded, if it succeeds, with a return well above a salaried employee's for bearing none of that risk, and removing the possibility of unequal reward removes the incentive to take the risk at all. But the same mechanism has a real downside once inequality concentrates far enough: an entrepreneur without existing wealth or collateral faces a much harder time raising finance for the identical venture, so extreme inequality doesn't just reward successful risk-taking — it can gatekeep who gets to attempt it. The two effects don't point the same direction, which is exactly why an unconditional verdict on either side is a half-answer (see the conditional-judgement drill below).

Savings and education compound the same way, generationally. Higher earners' higher marginal propensity to save means rising income inequality can raise a country's aggregate savings rate — the exact input a savings-gap growth model treats as the constraint on investment (covered in Growth and Development) — but the same shift lowers aggregate consumption, since lower-income households, who now hold a smaller share of total income, spend a larger share of each additional pound. Whether the net effect helps or hurts growth depends on whether the extra saving is actually channelled into productive investment, exactly the tension the conditional-judgement drill below asks you to state rather than assume. Education compounds intergenerationally: a lower-income household facing a real trade-off between a child's schooling and the income that child could earn working instead is a credit constraint, not a preference for less education — the household usually can't borrow against that child's future, higher earnings to cover the income given up today, so it is blocked from making the investment even though the future return would comfortably repay the loan a bank won't extend against income the child doesn't have yet. The resulting human-capital gap feeds directly back into the next generation's own income and wealth, which is why inequality that persists long enough starts reproducing itself.

Migration and life expectancy are the two population-level impacts. Income and wealth gaps between regions or countries create a direct incentive to migrate toward the higher-paying one — the same wage-differential logic that drives labour migration generally — but the effect on inequality itself is genuinely two-sided: migration of a country's most skilled workers toward higher-wage economies ("brain drain") can widen the gap the origin country is left with, while remittances sent home by those same migrants flow directly to the households that sent them, narrowing it. Which dominates is an empirical, country-specific question, not a settled direction. Life expectancy is the most contested of the six: some researchers argue more unequal societies show measurably worse health outcomes even after controlling for average income, through channels like the psychosocial stress of relative status and unequal access to healthcare — a claim that has drawn serious methodological criticism and is not settled science. State it as contested, with the mechanism named, rather than as an established fact either way — the honest version of this specific impact, and the version that survives an examiner pressing on it.

As an economy develops (4.3.4.2.e), inequality doesn't move in one fixed direction. Early industrialisation typically pulls a subset of workers into higher-paid urban or industrial jobs while the rest of the workforce remains in lower-paid traditional sectors, widening the gap; as development matures, education spreads, welfare systems develop, and the whole workforce eventually shifts into the higher-paid sector, narrowing it again. That inverted-U pattern is Simon Kuznets's 1955 hypothesis (see the beyond-spec note for its origin and its real, contested limits), and it matters directly here: the same economic-change episode can be read as evidence inequality is rising, or evidence a country is mid-transition, and which reading is correct depends on where the country actually sits on that curve, not on the direction of change alone.

The free market (capitalism) question, 4.3.4.2.f, is really asking what a market does and doesn't do automatically. A price mechanism allocates income by rewarding ownership of scarce, productive factors — capital, land, in-demand skills — through the return each factor commands in its own market, not by any deliberate criterion of fairness or need; nothing about supply and demand crossing at an equilibrium wage or rate of return corrects for how unequally the underlying factors happen to be owned to begin with. That's not a criticism smuggled into the definition — it's the direct, mechanical consequence of allocating by price rather than by plan, and it's exactly why every real mixed economy pairs the market with tax-and-transfer correction after the fact (4.3.5), rather than relying on the market to correct its own distributional outcome. The same free-market mechanism that leaves inequality uncorrected by default is also the one most directly credited with the fastest ABSOLUTE poverty reduction on record — trade, specialisation and FDI-driven growth (see Globalisation) have pulled more people above a fixed poverty threshold over the last four decades than any redistribution programme has on its own — which is precisely the tension a Level 4 answer on this spec point has to hold in both hands at once: capitalism's growth engine and capitalism's non-correction of the distribution it produces are the same mechanism, not two separate ones in conflict.