Manchester AI maps England productivity divide
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- University of Manchester researchers applied GeoAI to map productivity across England's 296 local authorities from 2010‑2022.
- The study found nearly half of the authorities fell below the national average on both productivity level and growth rate.
- London and the South‑East still host many high‑productivity areas, but internal variation shows stagnation in some traditionally strong authorities.
- Midlands and northern England saw faster productivity growth in lower‑productivity zones, though from a lower base.
- GIS and machine‑learning analysis identified concentration of information‑and‑communication jobs, higher wages, and proximity to other productive areas as the strongest drivers, while R&D investment and infrastructure were less influential.
- The researchers grouped the 296 authorities into 12 productivity types, ranging from vulnerable labor markets to specialized finance centres, concluding that no single policy will fit all.
Why it matters: Local policymakers and businesses gain a granular map that reveals which areas are lagging or gaining, allowing targeted interventions; meanwhile, regions stuck in low‑productivity pockets risk widening wage gaps, while fast‑growing northern zones could close the gap if supported, reshaping regional growth strategies.
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