Скачать книгу

in January 2015, not long after Narendra Modi took up office as prime minister, following the victory of the BJP in the general election of 2014. The Wall Street Journal reported (30 January 2015), ‘India surprised economists Friday evening by ratcheting up its official economic-expansion figure for the previous fiscal year, marking it as a year of sharp recovery rather than continuing stagnation, and putting India’s growth rate much closer to China’s’. According to the former method of calculating GDP, growth in 2013–14 was 4.7 per cent; according to the new method it was 6.9 per cent (and 7.4 per cent in 2014–15 as compared with 5.5 per cent, according to the old way of calculating GDP).

      There was fierce debate amongst Indian economists about the new method, with influential voices on both sides (for discussion, see Kar and Sen 2016: box 6.1). Somewhat later, the respected journal, the Economic and Political Weekly, published an editorial under the title ‘Lies, Damned Lies, and Statistics’ (11 June 2016), noting ‘glaring anomalies in the GDP data’, and pointing out, for example, that the old series of growth numbers for manufacturing showed 1.1% growth in 2012–13, while the new method reported 6.2%. But if we follow the advice of Kar and Sen, who suggest that it is prudent to refer to both data series, we find that there is no question that the per capita growth rate has fallen by comparison with the 2002–10 period: it stood at an average of around 6.4 per cent per annum in 2002–10, 3.94 per cent over 2011–14 according to the old definition and 4.91 per cent over 2012–16 according to the new definition (Kar and Sen 2016: fig. 6.1). Then, in June 2019, embarrassingly for the new government that had taken up office only a few weeks earlier, the former Chief Economic Adviser to the Government of India (2015–18), Arvind Subramanian, published a paper with the Centre for International Development at Harvard University, that called into question all the estimates of GDP growth for the period from 2011. As we explain below, Subramanian’s work suggested that actual growth over the period from 2011 to 2017 may well have averaged only about 4.5 per cent per year (A. Subramanian 2019).

      Probing these arguments, Kar and Sen (2016: 85–8) suggest that the loss of investor confidence – on which there is evidence from international surveys – may be understood as the outcome of negative political feedback from the closed deals environment that had developed after 2002, and the evidence of crony capitalism. Discontent over corruption, for which the government was held responsible, not the private sector, was focused in 2011 by the campaign of the India Against Corruption movement, of which the Gandhian social worker Ana Hazare was the figurehead. The legitimacy of the state was seriously eroded. These developments further encouraged the mobilization of non-elites, for example, over land acquisition for industrial projects, and helped to bring together the official accountability institutions – the office of the Comptroller and Auditor General (CAG), the Central Bureau of Investigation (CBI) and the judiciary. The kinds of closed deals that had obtained could no longer be made, and there was a sharp fall in the growth rates of the rent-thick sectors of the economy.

      The loss of credibility of the Congress Party and the UPA on the one hand, and the extraordinary campaign performance of Narendra Modi, as the prime ministerial candidate of the BJP, on the other, brought the BJP into office in 2014, with an absolute majority in the Lok Sabha, the lower house of the Indian parliament. This was the first time that a single party had won a majority for thirty years. Hopes ran high, among India’s capitalists, that Modi would re-establish the legitimacy of the state, and restore business confidence. There were concerns, however, about his close relationships with particular businessmen, from his long period in office as chief minister of Gujarat, when some business groups had been favoured – for example, over land acquisition (Jaffrelot 2018). These concerns did not go away, for in spite of well-publicized actions against some big businessmen, under a reformed bankruptcy code introduced by the Modi government (The Economist 2018a), it was still thought that some businessmen gained from close relationships with the prime minister and the ruling party. An important case in point had to do with the way in which India’s richest man, Mukesh Ambani, built up his telecoms company Reliance Jio, thanks, it was thought, to exceptionally favourable political and regulatory decisions (Stacey and Mundy 2018).

      Controversy over the validity of India’s official economic data reached a new moment of drama with the publication in June 2019 of the paper by former Chief Economic Adviser Arvind Subramanian, referred to earlier. Essentially, in the research reported in the paper, Subramanian compared data on 17 standard ‘real’ indicators that are usually strongly correlated with GDP growth – indicators such as electricity consumption, two-wheeler sales and commercial vehicle sales – with the GDP data. His emphatic conclusion was that ‘A variety of evidence suggests that the methodology changes introduced for the post-2011 GDP estimates led to an over-estimation of GDP growth’ (2019: 26), and, as we noted, he reckoned that growth in 2011–17 may well have been only about 4.5 per cent per year. This matters a lot, he argued, not only for reputational reasons, but more for policy-making: ‘The Indian policy automobile has been navigated with a faulty or even broken speedometer’ (2019: 27).

Скачать книгу