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considered to be the trend rate of growth (Ahmad et al. 2018). After early 2018, however, the rate of economic growth declined considerably, falling below 5 per cent per annum towards the end of 2019 (The Hindu, 29 November 2019).

      SOURCE: Calculations by Joshi (2017, table 2.1)

Period Growth rate per annum (%) Growth rate per capita per annum (%)
1951–52 to 1959–60 3.5 1.7
1960–61 to 1969–70 4.0 1.8
1970–71 to 1979–80 3.0 0.7
1980–81 to 1989–90 5.6 3.4
1990–91 to 1999–2000 5.8 3.7
2000–01 to 2009–10 7.3 5.7
2010–11 to 2014–15 6.1 4.8
1951–52 to 1979–80 3.5 1.4
1980–81 to 2009–10 6.2 4.3

      While it is clear that the supply of factors of production – capital and labour – fundamentally drives growth, it is also well established that whether or not supply materializes is a function of the demand for outputs. Both supply-side and demand-side factors matter. With regard to the supply side, however, empirical research and theorizing have also shown that growth is not explained simply by factor inputs, and that something else, a ‘residual’, is extremely important. A lot of research has been devoted to opening up the ‘residual’, and the consensus is that ‘the growth of gross domestic product (GDP) and divergences in per capita GDP will be closely tied to individual country performance with regard to productivity’ (Yusuf 2014: 55). What is referred to as Total Factor Productivity (TFP) – roughly defined as a measure of efficiency gains in the use of capital and labour – is reckoned to be crucial and to account for a more or less large share of economic growth. Its mainsprings, in turn, include technology and innovation, some of it embodied in equipment, but also organization – for the way in which industrial production, using more or less the same equipment, is organized, can make a great deal of difference to productivity. This was an important reason for the great success of Japanese companies in manufacturing automobiles. Knowledge, therefore, matters, and is now incorporated in economists’ growth models. Productivity is seen as depending on the learning and innovation systems of society that produce and determine the quality of human capital (the skills and knowledge that people bring), the capacity to generate ideas, and the ability to absorb and make use of technology.

      Even if the basics of it are quite straightforward, the complexity of the processes of economic growth have made theorizing extremely difficult. Given this complexity, and the dynamic nature of the processes involved, subject as they are – as we explain below – to circular and cumulative causation, there is really no substitute for the specific historical analysis of different cases. This is the conclusion reached by economists Kenny and Williams (2001) in a review of economic growth theory and of empirical analyses of growth based on large-n cross-country studies. Another economist, Yusuf, is quite downbeat, in a review of the field, about the achievements of economic growth theory. The limitations of theory and policy are indicated, he suggests, by the fact that between 1960 and 2011 only 8 out of 190 countries averaged growth rates of 7 per cent or more for two decades (Yusuf 2014).

      Pritchett and Werker, similarly, argue that ‘The principal fact about the growth rates of countries over the medium run (five to ten, to 15 years) is [their] volatility’ (2012: 7), and Pritchett and Summers (2014) have shown that episodes of very high growth are usually short-lived and end in slowing back down to the world average. These findings, showing that economic growth is usually episodic, suggest that there are distinct questions that have to be addressed in thinking about growth. What are the factors that bring about growth accelerations? What then causes growth to decelerate? In other words: what initiates higher rates of growth, and then what factors influence whether or not growth is sustained?

      Arguments about the Political Economy of Growth

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