The data in Table 2.1 compares the level of regional inequality in selected economies. The 90:10 figures denote the ratio between regional GDP per capita in the 90th percentile (the income level which only 10% of the country's regions exceed) to the 10th percentile (the level which only 10% of the country's regions earn less than).
Table 2.1 Measures of inequality in regional GDP per capita, by country (2023)
| Country | 80:20 ratio | 90:10 ratio |
|---|---|---|
| Ireland | 1.90 | 2.45 |
| United Kingdom | 1.80 | 2.35 |
| Italy | 1.75 | 2.20 |
| Germany | 1.60 | 2.05 |
| United States | 1.55 | 1.95 |
| France | 1.45 | 1.85 |
| Australia | 1.42 | 1.80 |
| Japan | 1.38 | 1.70 |
| South Korea | 1.32 | 1.60 |
| Sweden | 1.28 | 1.50 |
| Norway | 1.22 | 1.38 |
This data demonstrates the pressure for an active policy response by the UK government to close regional gaps. In early 2024, a £6.8 billion Regional Prosperity Fund (RPF) was implemented, focusing heavily on upgrading infrastructure and retraining workers in historically sidelined provincial areas.
This fund's launch follows a policy paper by the National Institute of Economic and Social Research, which outlined several distinct supply-side interventions to combat severe regional disparities:
Determining the most suitable supply-side intervention is further complicated by structural shifts in the labor market. Transitioning to a net-zero carbon economy may lead to the rapid obsolescence of traditional industrial skills in manufacturing hubs already enduring long-term structural unemployment. Conversely, some economists argue that the growth of green industries could yield significant structural employment gains if regional workforces are appropriately prepared.
Evaluate, using the information in Extract 2, whether investing in regional high-speed green transit networks would be the most effective supply-side policy option for the UK government to achieve its objective of reducing regional inequality.