In the 1970s, economic historians increasingly used national-income accounting methods (“cliometrics”) to estimate past output and living standards. This created a shared quantitative language for comparing regions over long periods, setting the stage for later arguments about when and why Europe pulled ahead of Asia.
Eric L. Jones argued that Europe’s geography, political fragmentation, and competition helped it grow differently from large Asian empires. Although not built around one definitive GDP dataset, the book helped frame the “Europe was different earlier” position that later Great Divergence scholarship debated using numbers as well as narratives.
In the early 1990s, revised estimates for Britain suggested Industrial Revolution growth rates were lower than older, more dramatic accounts claimed. This mattered for Great Divergence debates because it weakened simple “sudden takeoff” stories and pushed scholars to look at earlier centuries and broader comparisons.
Angus Maddison’s Monitoring the World Economy, 1820–1992 assembled comparable GDP and GDP-per-capita series across countries, making long-run international comparisons easier to do. His estimates became a standard reference point and a frequent target for revision, especially for early modern Asia and Europe.
Samuel P. Huntington used the phrase “Great Divergence” in the mid-1990s to describe a widening gap in power and prosperity between “the West” and other regions. The label later became widely used by economic historians, who focused on dating and measuring the divergence using historical GDP, wages, and productivity evidence.
David S. Landes’s The Wealth and Poverty of Nations offered a broad explanation for why some regions became richer than others, emphasizing culture, institutions, and technological change. In Great Divergence historiography, it became a prominent statement of “deep-rooted European advantage,” inviting both criticism and quantitative testing.
Kenneth Pomeranz’s 2000 book argued that the most advanced parts of China and Europe were similar in living standards and market development until around 1800. He emphasized coal access and New World resources as key reasons Britain (and then Western Europe) broke away, intensifying debate over what the best quantitative indicators should be.
Acemoglu, Johnson, and Robinson argued that colonial-era institutional patterns help explain large modern income gaps, using settler mortality as an instrumental variable (a statistical tool meant to isolate causal effects). While not a direct Great Divergence GDP paper, it shaped 2000s development and economic history by making institutions central and pushing more data-driven comparisons.
Jack Goldstone argued that many regions experienced “efflorescences,” or temporary spurts of growth, and that sustained modern growth required a particular combination of fossil-fuel power, science, and skilled production cultures. This helped shift debate away from single-cause explanations and encouraged more careful periodization rather than one simple divergence date.
Broadberry and Gupta compared wage measures across Europe and Asia and argued that Northwestern Europe pulled ahead earlier than Pomeranz suggested. Their work highlighted how results can change depending on whether scholars compare grain wages, silver wages, or consumption “baskets,” making measurement choices a central historiographical issue.
Robert C. Allen argued that Britain’s relatively high wages and low energy costs made labor-saving inventions profitable, helping explain why industrialization began there. The book became a major quantitative contribution to Great Divergence debates by connecting price and wage data to incentives for technological change.
After Angus Maddison’s death, the Maddison Project began as a collaborative effort to improve, update, and document long-run GDP and GDP-per-capita series. This institutionalized the idea that historical GDP measurement is an evolving research program, not a fixed set of numbers.
Peer Vries’s Escaping Poverty reviewed competing explanations—resources, institutions, state capacity, culture, and technology—while engaging directly with Great Divergence scholarship. The book helped clarify what different sides were claiming and how far existing quantitative evidence could or could not settle those disputes.
Bolt and van Zanden explained the Maddison Project’s goals, data choices, and known problems in historical national accounts (like sparse sources and changing borders). They also summarized revisions to earlier estimates, showing how new research—especially for periods before 1820—could alter views of the timing and size of divergence.
A large research team published new long-run British national accounts, estimating output and GDP per capita from the medieval period to 1870. By extending quantitative series far earlier than many previous datasets, this work provided new benchmarks for evaluating when British and Northwestern European incomes began pulling away.
Historiography and Quantitative GDP Debates on the 'Great Divergence' (1970-2015)