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Why Is Growth in Developing Countries So Hard to Measure?

机译:为什么发展中国家的成长如此难以衡量?

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摘要

GDP and growth estimates in developing countries are often perceived to be fraught with problems and potentially manipulated. For example, when Nigeria's government changed the way it calculated GDP in 2014, the country's official GDP grew 89 percent overnight, raising concerns that the statistics were being manipulated for political purposes (as reported in The Economist 2014). This GDP revision updated the base year from 1990 to 2010, reflecting the economy's changing structure and giving greater weight to growing industries like mobile technology. In China, GDP growth estimates have been routinely called into question since the mid-2000s, and recent studies estimate that official Chinese statistics overstated average annual growth by 1.8 percentage points between 2010 and 2016 (Chen et al. 2019). In India, Subramanian (2019) estimates that changes in data sources and methodology in 2011 led to an overestimation of annual growth by 2.5 percent between 2011 and 2012 and 2016 and 2017. Concerns are not confined to growth overestimation. Kerner, Jerven, and Beatty (2017) find that some lower-income countries underreport economic growth to maintain foreign assistance.
机译:发展中国家的GDP和增长估计往往被认为是有问题和潜在的操纵。例如,当尼日利亚的政府在2014年改变了它计算的GDP方面时,该国的官方国内生产总值在一夜之间增长了89%,提高了统计数据因政治目的而被操纵(如2014年经济学家报告)。此GDP修订版更新了1990年至2010年的基准年,反映了经济的变化结构,并为移动技术等发展的行业提供更大的体重。在中国,自2000年代中期以来,GDP增长估计经常呼吁质疑,最近的研究估计,中国官方统计数据夸大了2010年和2016年之间的每年增长1.8个百分点(陈等人2019)。在印度,Subramanian(2019)估计2011年数据来源和方法的变化导致2011年和2016年和2016年和2017年之间的年增长率为2.5%。关注不仅限于增长估计。 Kerner,Jerven和Beatty(2017年)发现一些低收入国家的经济增长以维持外国援助。

著录项

  • 来源
    《The journal of economic perspectives》 |2021年第3期|215-242|共28页
  • 作者单位

    Oxford University Oxford United Kingdom World Bank Washington DC Young love Gaborone Botswana;

    Yale University New Haven Connecticut Centre for Economic Policy Research London United Kingdom National Bureau of Economic Research Cambridge Massachusetts Peterson Institute of International Economics;

    Development Data Group World Bank Washington DC Institute for the Study of Labor (IZA) School of Advanced International Studies;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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