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The Determinants of Food Prices in Pakistan

Author

Listed:
  • Henna Ahsan

    (Pakistan Institute of Development Economics (PIDE), Islamabad, Pakistan.)

  • Zainab Iftikhar

    (Pakistan Institute of Development Economics (PIDE), Islamabad, Pakistan.)

  • M. Ali Kemal

    (Pakistan Institute of Development Economics (PIDE), Islamabad, Pakistan.)

Abstract

Controlling prices is one of the biggest tasks that macroeconomic policymakers face. The objective of this study is to analyze the demand- and supply-side factors that affect food prices in Pakistan. We analyze their long-run relationship using an autoregressive distributed lag model for the period 1970–2010. Our results indicate that that the most significant variable affecting food prices in both the long and short run is money supply. We also find that subsidies can help reduce food prices in the long run but that their impact is very small. Increases in world food prices pressurize the domestic market in the absence of imports, which cause domestic food prices to rise. If, however, we import food crops at higher international prices, this can generate imported inflation. The error correction is statistically significant and shows that market forces play an active role in restoring the long-run equilibrium.

Suggested Citation

  • Henna Ahsan & Zainab Iftikhar & M. Ali Kemal, 2012. "The Determinants of Food Prices in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 17(1), pages 101-128, Jan-June.
    • Handle: RePEc:lje:journl:v:17:y:2012:i:1:p:101-128
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    References listed on IDEAS

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    1. Trostle, Ronald, 2008. "Factors Contributing to Recent Increases in Food Commodity Prices (PowerPoint)," Seminars 43902, USDA Economists Group.
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    Cited by:

    1. Sajjad & Zahoor Ul Haq & Zia Ullah, 2018. "Food Price Subsidy and its Effects on Poverty in Khyber Pakhtunkhwa, Pakistan," Global Social Sciences Review, Humanity Only, vol. 3(3), pages 54-73, September.
    2. Chanchala Hathurusingha & Neda Abdelhamid & David Airehrour, 2019. "Forecasting Models Based on Data Analytics for Predicting Rice Price Volatility: A Case Study of the Sri Lankan Rice Market," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 1-20, March.
    3. Mora Barrenechea, Mauricio, 2020. "Time-varying effects of commodities prices in the Bolivian economy," MPRA Paper 104706, University Library of Munich, Germany.

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    More about this item

    Keywords

    Food prices; ARDL estimation; Pakistan.;
    All these keywords.

    JEL classification:

    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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