Guest guest Posted May 2, 2003 Report Share Posted May 2, 2003 http://www.atimes.com/atimes/South_Asia/EE02Df01.html China and India: When the figures don't add upBy Jayanthi Iyengar There are three kinds of lies: lies, damned lies and statistics - Benjamin Disraeli NEW DELHI - Statistics have earned the ignominy of being damned down the ages on account of their ability to be manipulated in favor of a particular agenda. Most countries, from the United States to China, have been accused of fudging data to window-dress their economic performance. Yet India seems to have a strange penchant: it tends to underestimate statistics, at least in some areas.The tendency to cook the books generally occurs more in the developing world, particularly those countries in transition from communism to capitalism, which have a habit of overestimating statistics.But even among industrialized nations, charges of inflation and other statistics being skewed have erupted from time to time. European inflation statistics have been questioned by Federal Reserve chairman Alan Greenspan. In 1998, the Bank of England was forced to stop the publication of a major data series because the reliability of the data was being questioned. Similar concerns have also been expressed about US inflation data. In the developing world, for instance, Russia topped gross domestic product (GDP) growth in 1997 with an expansion of its underground economy. Inclusion of such estimates is in line with the United Nations System of National Accounts (UNSNA). However, where Russia pulled a fast one was that it failed to revise upward its 1996 figures similarly. The net result was that it seemed as if the economy had zipped ahead in 1997, instead of the growth actually falling as compared with previous years. Russia subsequently justified the fudging on the grounds that it wanted to inspire disheartened Russians into believing that the economy had turned around.If that's one example of jump-starting the economy by massaging sentiment, Africa abounds with such instances, resulting in the World Bank declaring the bulk of the continent's trade data "virtually useless" a few years ago. Allegations of the Chinese fudging data are also widespread. With heavy investment being pumped into China, articles and books repeatedly appear on the "true" state of the Chinese economy. One book that created quite a stir was The Coming Collapse of China by Gordon Chang in 2001. Chang mocked the "wonderful statistics" regularly churned out by Beijing. Instead, he painted a gloomy picture of failing state-owned enterprises, a deteriorating banking system, a slowing economy and frequent riots by peasants and strikes by workers. Many commentators dismissed Chang's "extreme pessimism" (see The pessimist's case, ATol Book Reviews, January 4), but total dismissals became difficult when Melinda Liu took off in Newsweek where Chang had left off. "China is at once the recipient of the most foreign investment of any country in Asia [nearly US$47 billion last year], the sponsor of the world's biggest hydroelectric project [the $27 billion Three Gorges Dam] and the site of the world's highest railway, to Tibet [5,000 meters]. The parade of gloating statistics would seem to portray a country that is larger than life - or at least larger and more illustrious than nations that must rely on less quantifiable measures of worth, like, say, France. Yet those figures are themselves hardly scientific," she said. Liu made the point that the provincial leadership was under pressure to show improved performance, forcing them to "cook" figures. The article quoted Wang Xiaolu of China's National Economic Research as saying, "This criterion has created the incentive for statistical falsification." The Chinese reacted sharply. The People's Daily decried the tendency of the Western media to make doomsday predictions about China. Qiu Xiaohua, deputy director of China's National Bureau of Statistics, stoutly defended the veracity of Chinese statistics. He conceded at a news conference last July while releasing China's Q1 GDP figures that there were problems with the country's statistics in one or two places, but if one viewed the overall situation objectively, one would conclude, "China's current statistical data basically reflect the actual condition." Interestingly, the Western media have not been alone in mounting an attack on Chinese statistics. Asian commentators and experts have been equally vociferous in their attacks. Mukul Asher of the National University of Singapore, for instance, points outs several oddities in the manner in which foreign direct investment (FDI) figures are reported. The Chinese show total project costs as FDI, which inflates figures by as much as 60 percent. S R Kasbekar noted in India's Financial Express, "It is a known fact that China's economic statistics are politically doctored to suit the official dictum for high growth. It is based on information sent by the provincial satraps [rulers], who are forced to puff up growth figures to be politically correct. China does not have a sample survey method, which is found to be more reliable than the politically influenced provincial reporting system." More recently, columnist T C A Srinvasa-Raghavan pointed out in the Business Standard that the adoption of some features of the UNSNA in the early 1990s resulted in China's GDP growth figures plunging dramatically. "They are down from over 12 percent to a more likely 8 percent, probably even lower." India, on the other hand, is a study in contrast. Like most developing countries, its statistics-collection machinery leaves much to be desired - many developed countries, too, face such problems - yet allegations of consciously cooking up figures are not rampant. Part of the explanation is provided by A C Kulshreshtha, former director of the Central Statistical Organization (CSO). "One of the reasons for this could possibly be that the heads of National Accounts Division, CSO, have worked as members of the expert groups of the UN to prepare UN guidelines since beginning." Some of the underestimation in Indian statistics emerges from the fact that India still follows UNSNA 1968, though the more recent UN norms, known as UNSNA 1993, permit countries to capture GDP, or the value of goods and services produced in a country, better. This is done by the adoption of the time-use method of data collection (system of national accounting, or SNA) instead of the traditional labor survey method known as the state domestic product (SDP). India has thus far been able to implement UNSNA 1993 only partially. As a result, the production of underground or illegal earnings - as was done by Russia - continues to be ignored. Other heads that are yet to be included are an underestimation of natural resources, livestock raised for food, natural-resource accounting and expenditure on software. Similarly, entertainment, literary and artistic originals are permitted to be captured, but the government has been unable to do so. An equally crucial area is the inability of the CSO to capture the contributions made by the unorganized sector in manufacturing, the contribution of the household sector, including housewives and unpaid family labor, and services. The last is a major lacuna, given the burgeoning growth of the sector. Most researchers know there are infirmities with Indian GDP figures, but everyone was taken by surprise when the CSO director, Raghavendra Singh, announced recently that the underestimation on this account was to the extent of 25-30 percent. Singh's statements were based on a pilot study conducted by the CSO from July 1998 to June 1999 covering 18,600 households in six states. It showed that the contribution of unpaid workers worked out to be as high as 34 percent in Meghalaya, 31 percent in Madhya Pradesh and 30 percent in Orissa. The underestimation was the lowest at 20 percent for Tamil Nadu and 21 percent in Gujarat.To illustrate, the study found that the result of the time-use survey in India showed that in a week, on an average, males spend about 42 hours in SNA activities (which are included in GDP) while females spend 19 hours. However, in extended SNA activities (not included in GDP), males spend just 3.6 hours, whereas females spend 34.6 hours. In non-SNA activities (which pertain to learning, leisure and personal care), males spend about eight hours more than females. Singh's statements were endorsed by Vijay Goel, minister of state for statistics and program implementation. However, what has stunned everyone is the CSO director's statement that it would take another two years to move to the new system. His hesitation comes from the fact that some technicalities, such as income elasticity and valuation, have still to be dealt with. Interestingly, no country is yet using the time-use data for calculating GDP, though countries such as Australia, South Africa, Canada, Japan and New Zealand had started work in this direction. The adoption of the new method of collating data should help all countries, but it is generally concluded that it would boost the GDP of developing countries such as India (with its large unorganized sector) more than of developed countries. For them, calculations using labor-force estimates would be close to those using time-use data. Significantly, GDP is not the only area where India underreports. It also tends to devalue its FDI figures, which would actually be in the range of $8 billion, instead of the $3.4 billion now, had it followed International Monetary Fund (IMF) classification. The government's annual survey, The Economic Survey 2002-03, released on February 27, for the first time officially conceded underestimation. It stated that the Reserve Bank of India (RBI) is currently evaluating modifications in the manner in which India measures its FDI. The survey, which tends to underplay the difference in FDI garnered by India and China, stated that the gap between the two estimates may be exaggerated "owing to technical issues in measurement". China attracted $46.8 billion, followed by Hong Kong with $22.8 billion and $3.8 billion by Thailand during the period. The Indian government's claim is backed by an independent international institution, the International Finance Corp. An IFC study some time ago showed that adoption of international standards for computing FDI (IMF BPM 5) would raise India's net annual FDI inflows from between $3 billion and $4 billion to about $8 billion. This is roughly 1.7 percent of GDP, which is not too far from China's 2 percent of GDP. Among the components currently not included by India in its FDI calculations are: Short-term loans between related entities. Long-term loans between related entities. Issue of bonus shares. Financial leasing. Trade credits. Grants. Bonds. Reinvested earnings. Non-cash acquisition of equity. Investment made by foreign venture capital investors. Earnings data of indirectly held FDI enterprises. After the release of this study report, the Indian government set up an expert committee to look into the issue, and the RBI is contemplating its implementation. 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