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Fiscal Stimulus, Agricultural Growth and Poverty in Asia


  • Raghav Gaiha

    (Faculty of Management Studies, University of Delhi, India)

  • Katsushi S. Imai

    (Economics, School of Social Sciences, University of Manchester (UK) and RIEB, Kobe University (Japan))

  • Ganesh Thapa

    (International Fund for Agricultural Development, Italy)

  • Woojin Kang

    (Economics, School of Social Sciences, University of Manchester, UK)


Recent debates on a sustainable recovery of the global economy have tended to overemphasise the "savings glut" hypothesis and the unavoidable imperative of higher consumption in China and other emerging Asian countries. That oversaving and not underinvestment is coming in the way of a quicker and more durable recovery is not just simplistic but misleading from a medium- term growth perspective for emerging Asian countries and other developing countries in this region. Drawing upon country panel data for developing countries and a sub-sample of Asian countries during the period 1991 to 2007, the present study makes a case for a bold and coordinated fiscal stimulus, directed to stimulating agricultural and overall growth, and mitigation of poverty and hunger. Our simulations further suggest that poverty reduction is likely to be larger if the fiscal stimulus is directed to social spending in health and education sectors. Indeed, if our simulations of fiscal impacts have any validity, the dire predictions of millions getting trapped in poverty and hunger may turn out to be exaggerated. The prospects of a strong recovery led by fiscal stimulus are thus real and achievable.

Suggested Citation

  • Raghav Gaiha & Katsushi S. Imai & Ganesh Thapa & Woojin Kang, 2010. "Fiscal Stimulus, Agricultural Growth and Poverty in Asia," Discussion Paper Series DP2010-15, Research Institute for Economics & Business Administration, Kobe University.
  • Handle: RePEc:kob:dpaper:dp2010-15

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    References listed on IDEAS

    1. Menno Pradhan & Martin Ravallion, 2000. "Measuring Poverty Using Qualitative Perceptions Of Consumption Adequacy," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 462-471, August.
    2. Robert Cull & Asli Demirgüç-Kunt & Jonathan Morduch, 2009. "Microfinance Meets the Market," Journal of Economic Perspectives, American Economic Association, vol. 23(1), pages 167-192, Winter.
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    5. Shahidur R. Khandker, 2005. "Microfinance and Poverty: Evidence Using Panel Data from Bangladesh," World Bank Economic Review, World Bank Group, vol. 19(2), pages 263-286.
    6. John Weiss & Heather Montgomery, 2005. "Great Expectations: Microfinance and Poverty Reduction in Asia and Latin America," Oxford Development Studies, Taylor & Francis Journals, vol. 33(3-4), pages 391-416.
    7. Basu, Priya & Srivastava, Pradeep, 2005. "Scaling-up microfinance for India's rural poor," Policy Research Working Paper Series 3646, The World Bank.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
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    11. Adams, Alayne M. & Evans, Timothy G. & Mohammed, Rafi & Farnsworth, Jennifer, 1997. "Socioeconomic stratification by wealth ranking: Is it valid?," World Development, Elsevier, vol. 25(7), pages 1165-1172, July.
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    More about this item


    Government Expenditure; Fiscal Policy; Economic Growth; Agricultural Growth; Poverty; Asia;

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy

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