The Weight of History: Unpicking China’s Preindustrial GDP Divergence

Chinese scientists and economic historians have built a landmark dataset tracing GDP per head across Chinese regions from the Song Dynasty through to the mid-nineteenth century. Published in Explorations in Economic History, the study—led by Stephen Broadberry and Hanhui Guan—offers the most granular view yet of living standards inside China before industrialisation took hold in Europe. The findings directly challenge simplified accounts of why the West pulled ahead.

The conventional “Great Divergence” debate has long relied on national averages, which mask profound internal variation. This research reveals that by 1080, the wealth gap between China’s richest and poorest regions was already substantial—far wider than previously assumed. The wealthiest macro-region, centred on the lower Yangzi, sustained incomes that compared favourably with the most advanced parts of Western Europe well into the 1700s. The poorest interior regions, however, stagnated. The implication is sharp: China’s aggregate slowdown after 1400 was not a uniform decline but a story of stark regional fragmentation.

For global professionals, this work reframes the origins of modern economic inequality. It suggests that the seeds of divergence were not purely institutional or technological, but deeply geographical and structural. Understanding why certain Chinese regions lost dynamism while others kept pace with Europe offers practical lessons for development strategy and regional policy today—not least within China itself, where internal disparities remain a central challenge.

Why it matters:
This study provides the empirical foundation for rethinking long-term growth patterns in China. Investors and policymakers focused on regional development can draw direct parallels between historical structural divides and modern economic geography. For global economists, it supplies vital comparative data that deepens the conversation about why some economies industrialise and others do not.

Source →