3.7 - Development, inequality and environmental change

Choosing development measures

Development concerns people's capabilities and living conditions, so a rise in national income is useful evidence but an incomplete measure.

Income per capita divides national income by population. GNI includes residents' income from abroad, while GDP measures production within the territory. Per-capita means are useful for comparing economic resources but conceal their distribution. Purchasing power parity adjusts for price differences; constant-price series remove inflation. Mixing current dollars, constant dollars and PPP units can create a false trend.

Economic sector balance describes the proportions of employment or output in primary, secondary and tertiary activities. Industrialisation may shift work from agriculture to manufacturing, followed by services. However, high service employment can mean well-paid professional work or insecure informal jobs. A single statistic needs sector quality and productivity evidence. An original composite economic index might combine scaled income, productivity and employment measures; its outcome depends on indicator selection and weights, so it has no automatic authority over its individual components.

UNDP's Human Development Index (HDI) combines normalised health, education and income dimensions using a geometric mean. Its indicators include life expectancy, mean and expected years of schooling, and GNI per capita. Higher values indicate higher average human development; national averages still hide differences within a country. UNDP HDI method.

The Gender Inequality Index (GII) examines reproductive health, empowerment and labour-market disadvantage. Lower values indicate less measured inequality. It reveals a dimension that a national income average or ordinary HDI may obscure, but it does not capture every form of discrimination. UNDP GII method.

Environmental quality requires other indicators: pollutant concentrations, air-quality indices, water quality or exposure. A pollution index's threshold, pollutants and averaging period matter. GDP can rise while polluted air harms health; conversely improved air quality does not show that biodiversity or a country's overseas consumption footprint has improved. Use several complementary measures and explain why each suits the question.

Comparing development trends critically

A valid trend comparison keeps definitions consistent and separates an observed change from an explanation of its causes.

Selected UNDP regional HDI values from the 2025 Human Development Report are shown below. The report publication year differs from the observation years, and these regional groupings are UNDP's definitions.

Source: UNDP Human Development Report 2025, Table 2.

East Asia and the Pacific rose by 0.261 HDI units; South Asia by 0.218. Their gap rose from 0.060 to 0.103, so both improved while this between-region gap widened. This does not establish the direction of income inequality within either region. An HDI increase is not a percentage-point increase in the share of developed people: it is a change in an index.

To draw a line graph, put actual years at proportional distances on the horizontal axis and HDI on a shared vertical scale, label both regional lines and show the source. Connecting the four observations helps reveal a trend but does not supply missing annual values. A bar chart suits comparison between regions in one year or a few selected years. A trend line summarises the direction across observations; it can conceal shocks and should not be extended as a certain forecast.

World Bank and UN datasets require critical reading. Check the indicator definition, unit, year, country coverage, revisions and missing values. Download one consistently recalculated series instead of joining historic report editions with different methods. A national or regional mean hides subnational and social variation. Compare like periods and acknowledge that a regional aggregate is influenced by its population and country composition.

Trade, FDI and technology can contribute to progress, but these figures alone cannot isolate their effects from education investment, public health, domestic reform or conflict. A World Bank and Chinese government report in 2022 attributed China's large poverty reduction over four decades to broad economic transformation and targeted support; its close-to-800-million figure used the then international US$1.90 line. Keep that historical poverty line attached rather than calling it the current one. World Bank report announcement, 2022.

Winners and losers at different scales

Globalisation changes access to employment, markets and resources unevenly, and inequality between countries need not move in the same direction as inequality within countries.

Export manufacturing and FDI can raise productivity and incomes in an emerging economy relative to rich countries, narrowing a between-country income gap. Yet investors may cluster in accessible coastal cities where ports, skills and suppliers already exist. Workers in these centres can gain faster than rural households or disconnected regions, widening internal differences. Skilled workers and owners of capital may capture more of the gains than workers with limited bargaining power.

In a developed economy, firms and consumers can gain from larger markets and cheaper imports while some manufacturing communities lose jobs through relocation or competition. Retraining, infrastructure and social protection influence whether those communities recover. In developing economies, mineral or agricultural exports may create revenue but expose producers to volatile prices and leave little value added locally. These are possible mechanisms, not proof that every country in a category shares one trajectory.