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The cost of a growth miracle - reassessing price and poverty trends in China

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  • Ingvild Almas

    (IIES)

  • Ashild Johnsen

    (Norwegian University of Life Sciences)

Abstract

China's economic development in recent decades has been tremendous, but also subject to debate. This paper uses Engel curves to identify price levels and real incomes that are comparable across both time and space. Based on these, new poverty trends are presented. We find that the urban and coastal areas that have experienced the fastest economic development have also seen smaller price increases than the poorer rural and inland areas. Our measures reveal that China has experienced substantial poverty reduction in a time with high economic growth, but compared to both the World Bank measures and those based on official CPI adjustments, our measures suggest a more moderate poverty reduction. Our findings imply that poverty was reduced by 40 and not 66 percent using the $1 dollar a day measure. (Copyright: Elsevier)

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  • Ingvild Almas & Ashild Johnsen, 2018. "The cost of a growth miracle - reassessing price and poverty trends in China," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 30, pages 239-264, October.
    • Handle: RePEc:red:issued:16-199
    DOI: 10.1016/j.red.2018.05.006
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    Cited by:

    1. Gustafsson, Björn Anders & Sai, Ding, 2019. "Growing into Relative Income Poverty: Urban China 1988 to 2013," IZA Discussion Papers 12422, Institute of Labor Economics (IZA).
    2. Björn Gustafsson & Ding Sai, 2020. "Growing into Relative Income Poverty: Urban China, 1988–2013," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 147(1), pages 73-94, January.
    3. Chen,Xiaomeng & Mungai,Rose & Nakamura,Shohei & Pearson,Thomas Patrick & Wambile,Ayago Esmubancha & Yoshida,Nobuo, 2020. "How Useful is CPI Price Data for Spatial Price Adjustment in Poverty Measurement? : A Case from Ghana," Policy Research Working Paper Series 9388, The World Bank.
    4. Yu Wei & Lan Bai & Kun Yang & Guiwu Wei, 2021. "Are industry‐level indicators more helpful to forecast industrial stock volatility? Evidence from Chinese manufacturing purchasing managers index," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(1), pages 17-39, January.

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    More about this item

    Keywords

    Engel curves; China; Poverty; Cost of living;
    All these keywords.

    JEL classification:

    • D1 - Microeconomics - - Household Behavior
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F01 - International Economics - - General - - - Global Outlook

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