Globalisation and Growing Economies

Pearson's spec asks you to characterise developed, developing and emerging economies (4.3.1.1a) as if they were three separate boxes to sort a country into. They aren't. A country's income level (GDP per capita), the structure of what it actually produces (how much of its output and employment still sits in low-productivity primary-sector activity versus higher-productivity manufacturing and services), and how developed its institutions are (whether credit, contract enforcement and regulation function well enough to support complex, large-scale transactions) all move together, because they're three symptoms of the same underlying process, not three independent facts that happen to correlate. As an economy grows, workers get pulled out of low-output-per-worker subsistence activity into higher-output-per-worker manufacturing and services — which is exactly why income rises alongside the sector shift, not as a coincidence sitting next to it — and the same growth in transaction complexity and scale is what eventually forces credit markets, courts and regulators to actually work, because an economy of small-scale, mostly-cash, mostly-local transactions doesn't need them the way one full of large firms, foreign investors and cross-border supply chains does.

'Emerging' is the label for an economy actively moving through that transition — not a fourth, separate category sitting between the other two, but the honest description of a country whose income, sector structure and institutions are all shifting upward together, often quickly. Vietnam and Thailand are the two real economies this paper's own mark schemes and examiner reports return to most often across the whole spec — tested there for their GDP-per-capita figures, their sectoral employment shift, their rubber exports and their FDI inflows, not for the developed/developing/emerging label itself — but the underlying pattern each verified case reveals is exactly what 'emerging' describes: a workforce still meaningfully engaged in agriculture alongside a manufacturing and export sector growing quickly enough to be reshaping the wider economy's structure. The direction and speed of that shift is itself part of what 'emerging' means, not just where the country happens to sit today.

The growing economic power of Asia and Africa (4.3.1.1b) is this same mechanism, viewed at a regional rather than a single-country scale. Vietnam's manufacturing sector has expanded rapidly enough to draw very large foreign direct investment inflows from multiple countries at once — real, verified evidence of Asia's rising share of global manufacturing capacity, not an abstract claim. Senegal offers a real African case with a different driver: gas and oil reserves have been the verified real trigger behind a recent surge in FDI into the country, a resource-led growth story rather than a manufacturing-led one, which matters because it means 'Asia and Africa are growing' isn't one single mechanism repeated everywhere — the underlying driver differs by country, and a strong answer names which one applies to the specific case in front of it rather than reaching for a generic 'growing economy' story.

None of this is abstract for a business. A region moving through this transition is simultaneously becoming a genuine new consumer market (rising incomes mean rising demand for goods a business already makes), a genuine new production location (a growing, increasingly skilled workforce becoming available at a lower cost than in a developed economy), and a genuine new source of competition — domestic firms in that same economy growing alongside it, sometimes into direct global rivals, not just smaller local also-rans. A real, verified mark scheme names exactly this: Chinese firms (Haier, Lenovo) and Indian firms (Tata, Infosys) are cited as being 'amongst the biggest in the world and more than capable of innovation and competing... on a global level,' and the same mark scheme gives a real figure for the trend behind them — developing economies' own share of global exports of goods and services had reached 44.3% by 2019. All three of these are real, business-specific consequences of the same regional growth story — which one matters most to a specific firm depends entirely on what that firm actually does, not on the growth story in the abstract, and the third consequence is not a minor caveat: the same mark scheme credits the judgement that the developed-economy businesses most exposed to this competition are the ones competing mainly on price, while those that compete on innovation, quality or brand strength are credited as likely to keep thriving regardless.

Spec 4.3.1.1c asks specifically about the implications of economic growth for individuals and businesses — trade opportunities and employment patterns — and spec 4.1's own unit description is explicit that this has to be answered in relation to businesses specifically, not economies in general. A question asking you to assess the trade opportunities created FOR a named group — European businesses, say, exporting into a growing economy — is asking what that specific group gains: a larger, faster-growing customer base to sell into, or a cheaper, increasingly capable source of inputs and production capacity to buy from. It is not asking what the growing economy's own businesses gain from growing, which is a real but genuinely different answer to a different question — mixing the two up is a confirmed, examiner-reported way marks are lost on this exact content point, covered in full in the trap-taxonomy below.

For individuals inside the growing economy, the trade-opportunity side shows up as new kinds of jobs becoming available — often at higher pay than the activity they replace — and, for some, as an incentive to migrate toward the regions or countries where that growth and those jobs are concentrated. But the richer, more commonly tested half of 'implications for individuals' is employment patterns specifically, and it's worth being precise about what that phrase actually means, because it's the single most misread piece of vocabulary on this content point: it refers to WHICH SECTOR people work in — the structural-transformation shift of a workforce from primary-sector activity (agriculture, extraction) toward secondary-sector (manufacturing) and tertiary-sector (services) activity as the economy grows — not the total number of people in work. A real, verified examiner report on this exact spec point confirms most candidates default to writing about employment totals instead, when the strongest answers instead tie a named country's growth to this specific sectoral shift, using the real GDP or sector-composition evidence a question's own source extract provides rather than describing the change in the abstract. The mechanism behind why growth produces this particular shift — not just that it does — is worked through properly below.

Spec 4.3.1.1d asks you to use GDP and GDP per capita, and the Human Development Index, as indicators of this growth — three different numbers answering three genuinely different questions, not three versions of the same fact. Raw GDP measures the total size of an economy's output and says nothing about how many people that output has to support: a country with a huge population and a huge GDP can still be materially poor per person, which is exactly why GDP per capita — GDP divided by population — is the number actually used to compare living standards between countries of very different sizes, worked through with real figures in the chain below. But GDP per capita still only measures income; it says nothing about whether that income is converting into longer lives, more schooling, or genuinely broader capability, which is precisely the gap HDI is built to close: it combines three separately normalised 0-to-1 dimension indices — health (life expectancy against fixed goalposts), education (mean and expected years of schooling), and income (GNI per capita, log-adjusted for diminishing marginal utility) — into a single score by taking their GEOMETRIC MEAN, the cube root of their product, not a simple average. That choice of mean is deliberate, not cosmetic: a geometric mean punishes a low score on any one dimension harder than an arithmetic mean would, so a country can't fully mask a genuine deficiency on one dimension by excelling on the other two — exactly the property an index meant to measure a floor of capability across all three dimensions at once needs. A full numeric derivation of all three components — worked through with real goalposts and a real pair of contrasting country HDI scores — is built in Growth and Development rather than repeated here in full, since the underlying mechanism doesn't change between papers; only which parts of it Pearson actually examines does, and on this specific paper HDI is used as a named indicator of growth, not tested on its own construction.

Spec 4.3.1.2a's exports and imports are the most basic vocabulary in this whole section — a good or service produced domestically and sold abroad is an export; one produced abroad and bought domestically is an import — but they're the foundation the rest of item 2 is built on, because a country's pattern of exports and imports is the direct, visible fingerprint of what it has chosen to specialise in and what it instead relies on trade for. Thailand's rubber sector is the real, verified case this paper's own mark scheme uses to test exactly this: Thailand is the world's largest exporter of natural rubber, with a large share of that output sold to China, and a meaningful share of the entire global rubber export market by value flowing through Thai producers specifically — a country that has clearly specialised, visible directly in its export composition.

Spec 4.3.1.2b's 'implications of increasing specialisation by countries and businesses' is exactly this Thailand case, but the exam credit sits specifically on the WHY, not just the WHAT. Naming the advantage — 'Thailand specialises in rubber, and this benefits Thai businesses' — states a fact; a real, verified mark scheme and examiner report on this exact question confirm the full-mark answer develops WHY the advantage occurs and supports it with the extract's own figures, and that under-developing this 'why' is the single most common way credit is lost here even when the right advantage has been correctly identified. The mark scheme's own worked answer develops that WHY through jobs and income, not cost: Thailand is the world's biggest exporter of natural rubber, with 42.4% of that output sold to China — a growing economy — and it's precisely that scale of external demand that needs many people to keep up with supply, creating jobs and incomes for Thai rubber-processing businesses and their workers. A second mechanism reaches the same 'exam credit sits on the WHY' point from a different, equally business-level angle, and is creditable under the same mark scheme's own 'accept any other appropriate response' allowance: a business that specialises in one product rather than spreading itself thinly across several can sell into a much larger market — the world market for that one good, not just its domestic market — and a larger addressable market means a larger achievable output, which lets the business spread its fixed costs over far more units and pull its average cost down toward the lowest point its cost structure allows, its minimum efficient scale. That's the mechanism the diagram below derives with real numbers: specialisation lowers a business's own average cost through exactly the same fixed-cost-spreading logic that drives internal economies of scale generally, applied to the specific case of a business choosing to serve a global rather than a purely domestic market — a real, valid route to full marks on this question, just not the one the mark scheme's own model answer illustrates first.

Spec 4.3.1.2c's foreign direct investment and its link to business growth is the same underlying idea, viewed from the investing business's side rather than the exporting country's. FDI is a form of a firm's OWN growth — building or acquiring productive capacity in another country, rather than exporting to it or staying entirely domestic — and a real, verified mark scheme addressing exactly this uses Vietnam's manufacturing sector as its case: a $7.9bn investment from South Korea, and Apple's own decision to shift AirPods production there rather than relying solely on its existing supply chain elsewhere, are both credited as evidence that FDI at this scale raises the recipient economy's productive capacity, lowers unemployment, raises incomes and GDP, and — because so much of the resulting output is exported — improves its balance of payments, with tax revenues rising too. But the same mark scheme also credits two genuine counter-risks, not a footnote: FDI arriving fast enough can push demand for local labour, land and infrastructure up faster than supply can respond, putting real upward pressure on prices, and FDI is separately credited as a source of real negative impacts of its own, such as environmental damage. Both sides — the recipient country's gain, and the investing business's own growth rationale — are worked through together in the chain-drill below, because they're one connected story, not two separate topics that happen to involve the same case.