Historical Contingency Term Analysis

The British example, an illustration of the virtuous circle of inclusive institutions, provides an example of a “gradual virtuous circle.” The political changes were unmistakably toward more inclusive political institutions and were the result of demands from empowered masses. But they were also gradual. Every decade another step, sometimes smaller, sometimes larger, was taken toward democracy. There was conflict over each step, and the outcome of each was contingent. But the virtuous circle created forces that reduced the stakes involved in clinging to power. […] There is great virtue in this sort of gradual change. It is less threatening to the elite than the wholesale overthrow of the system. Each step is small, and it makes sense to give in to a small demand rather than create a major showdown.

The changes in economic institutions in China were radical. China broke the mold, even if it did not transform its political institutions. As in Botswana and the U.S. South, the crucial changes came during a critical juncture—in the case of China, following Mao’s death. They were also contingent, in fact highly contingent, as there was nothing inevitable about the Gang of Four losing the power struggle; and if they had not, China would not have experienced the sustained economic growth it has seen in the last thirty years. But the devastation and human suffering that the Great Leap Forward and the Cultural Revolution caused generated sufficient demand for change that Deng Xiaoping and his allies were able to win the political fight.

There is much uncertainty. Cuba, for example, might transition toward inclusive institutions and experience a major economic transformation, or it may linger on under extractive political and economic institutions. The same is true of North Korea and Burma (Myanmar) in Asia. Thus, while our theory provides the tools for thinking about how institutions change and the consequences of such changes, the nature of this change—the role of small differences and contingency—makes more precise predictions difficult.