IDEAS home Printed from https://ideas.repec.org/a/lje/journl/v13y2008ispp117-138.html
   My bibliography  Save this article

The Effects of Rising Food and Fuel Costs on Poverty in Pakistan

Author

Listed:
  • Theresa Chaudhry

    (Lahore School of Economics, Pakistan.)

  • Azam Chaudhry

    (Lahore School of Economics, Pakistan.)

Abstract

The dramatic increase in international food and fuel prices in recent times is a crucial issue fordeveloping countries and the most vulnerable to these price shocks are the poorest segments of society. In countries like Pakistan, the discussion has focused onthe impact of substantially higher food and fuel prices on poverty. This paper used PSLM and MICS household level data to analyze the impact of higher food and energy prices on the poverty head count and the poverty gap ratio in Pakistan. Simulated food and energy price shocks present some important results: First, the impact of food price increases on Pakistani poverty levels is substantially greater than the impact of energy price increases. Second, the impact of food price inflation on Pakistani poverty levels is significantly higher for rural populations as compared to urban populations. Finally, food price inflation can lead to significant increases in Pakistani poverty levels: For Pakistan as a whole, a 20% increase in food prices would lead to an 8% increase in the poverty head count.

Suggested Citation

  • Theresa Chaudhry & Azam Chaudhry, 2008. "The Effects of Rising Food and Fuel Costs on Poverty in Pakistan," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 13(Special E), pages 117-138, September.
  • Handle: RePEc:lje:journl:v:13:y:2008:i:sp:p:117-138
    as

    Download full text from publisher

    File URL: http://121.52.153.179/JOURNAL/Special%20Edition%202008/08%20Theresa%20Thompson%20Chaudhry.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hyun H. Son & Nanak Kakwani, 2006. "Measuring the Impact of Price Changes on Poverty," Working Papers 33, International Policy Centre for Inclusive Growth.
    2. Hyun Son & Nanak Kakwani, 2006. "Measuring the impact of prices on inequality: With applications to Thailand and Korea," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 4(2), pages 181-207, August.
    3. Baffes, John, 2007. "Oil spills on other commodities," Resources Policy, Elsevier, vol. 32(3), pages 126-134, September.
    4. Hyun H. Son & Nanak Kakwani, 2006. "Measuring the impact of prices on inequality: with applications to Thailand and Korea," Working Papers 11, International Policy Centre for Inclusive Growth.
    5. Mitchell, Donald, 2008. "A note on rising food prices," Policy Research Working Paper Series 4682, The World Bank.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marktanner, Marcus & Merkel, Almuth, 2019. "Hunger and Anger in Autocracies and Democracies," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 9(1), pages 1-18.
    2. Muhammad Iqbal & Rashid Amjad, 2012. "Food Security in South Asia: Strategies and Programmes for Regional Collaboration," Chapters, in: Sultan Hafeez Rahman & Sridhar Khatri & Hans-Peter Brunner (ed.), Regional Integration and Economic Development in South Asia, chapter 8, Edward Elgar Publishing.
    3. Faiz Ur Rehman & Muhammad Nasir, 2018. "In the Same Boat, but not Equals: The Heterogeneous Effects of Indirect Taxation on Child Health in Punjab-Pakistan," PIDE-Working Papers 2018:158, Pakistan Institute of Development Economics.
    4. Mahmood, Haroon & Rehman, Kashif-ur-, 2013. "An Analysis of Macroeconomic State and Prospects of Pakistan during Recent Global Financial Turmoil," MPRA Paper 49447, University Library of Munich, Germany.
    5. Bah, Muhammad Maladoh & Saari, M. Yusof, 2020. "Quantifying the impacts of energy price reform on living expenses in Saudi Arabia," Energy Policy, Elsevier, vol. 139(C).
    6. Rehman Faiz Ur & Nasir Muhammad, 2020. "In the Same Boat, but not Equals: The Heterogeneous Effects of Indirect Taxation on Child Health in Punjab-Pakistan," Asian Journal of Law and Economics, De Gruyter, vol. 11(3), pages 1-26, December.
    7. Marktanner, Marcus & Merkel, Almuth, 2019. "Hunger and Anger in Autocracies and Democracies," International Journal of Development and Conflict, Gokhale Institute of Politics and Economics, vol. 9(1), pages 1-18.
    8. Theresa Chaudhry, 2010. "Estimating Residential Electricity Demand Responses in Pakistan’s Punjab," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(Special E), pages 107-138, September.
    9. Agyapomaa Gyeke-Dako & Elikplimi Komla Agbloyor & Abel Mawuko Agoba & Festus Turkson & Emmanuel Abbey, 2022. "Central Bank Independence, Inflation, and Poverty in Africa," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(2), pages 211-236, June.
    10. Muhammad Abdullah & Rukhsana Kalim, 2016. "Impact of Global Food Price Escalation on Poverty in South Asian Countries," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 55(4), pages 543-559.
    11. Muhammad Idrees, 2017. "Poverty in Pakistan: A Region-Specific Analysis," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 22(2), pages 139-163, July-Dec.
    12. Yogeeswari Subramaniam & Tajul Ariffin Masron & Mastura A. Wahab & Md Aslam Mia, 2021. "The impact of microfinance on poverty and income inequality in developing countries," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 36-48, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Cheng, Sheng & Cao, Yan, 2019. "On the relation between global food and crude oil prices: An empirical investigation in a nonlinear framework," Energy Economics, Elsevier, vol. 81(C), pages 422-432.
    2. Marco Lombardi & Chiara Osbat & Bernd Schnatz, 2012. "Global commodity cycles and linkages: a FAVAR approach," Empirical Economics, Springer, vol. 43(2), pages 651-670, October.
    3. Reboredo, Juan C., 2012. "Do food and oil prices co-move?," Energy Policy, Elsevier, vol. 49(C), pages 456-467.
    4. Zaman, Khalid & Khan, Muhammad Mushtaq & Ahmad, Mehboob, 2012. "The relationship between foreign direct investment and pro-poor growth policies in Pakistan: The new interface," Economic Modelling, Elsevier, vol. 29(4), pages 1220-1227.
    5. Khaled Mokni & Manel Youssef, 2020. "Empirical analysis of the cross‐interdependence between crude oil and agricultural commodity markets," Review of Financial Economics, John Wiley & Sons, vol. 38(4), pages 635-654, October.
    6. Cullen S. Hendrix, 2011. "Markets vs. Malthus: Food Security and the Global Economy," Policy Briefs PB11-12, Peterson Institute for International Economics.
    7. Nazlioglu, Saban & Soytas, Ugur, 2011. "World oil prices and agricultural commodity prices: Evidence from an emerging market," Energy Economics, Elsevier, vol. 33(3), pages 488-496, May.
    8. Giray GOZGOR & Baris KABLAMACI, 2014. "The linkage between oil and agricultural commodity prices in the light of the perceived global risk," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 60(7), pages 332-342.
    9. Pal, Debdatta & Mitra, Subrata K., 2017. "Time-frequency contained co-movement of crude oil and world food prices: A wavelet-based analysis," Energy Economics, Elsevier, vol. 62(C), pages 230-239.
    10. Khalid Zaman & Bashir Khilji, 2014. "A note on pro-poor social expenditures," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2121-2154, July.
    11. Awartani, Basel & Aktham, Maghyereh & Cherif, Guermat, 2016. "The connectedness between crude oil and financial markets: Evidence from implied volatility indices," Journal of Commodity Markets, Elsevier, vol. 4(1), pages 56-69.
    12. Tatsuki Ueda & Yoji Kunimitsu, 2020. "Interregional price linkages of fossil-energy and food sectors: evidence from an international input–output analysis using the GTAP database," Asia-Pacific Journal of Regional Science, Springer, vol. 4(1), pages 55-72, February.
    13. Yoon, Seong-Min, 2022. "On the interdependence between biofuel, fossil fuel and agricultural food prices: Evidence from quantile tests," Renewable Energy, Elsevier, vol. 199(C), pages 536-545.
    14. Mitra, Subrata Kumar & Bhatia, Vaneet & Jana, R.K. & Charan, Parikshit & Chattopadhyay, Manojit, 2018. "Changing value detrended cross correlation coefficient over time: Between crude oil and crop prices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 506(C), pages 671-678.
    15. Dervis Kirikkaleli & Ibrahim Darbaz, 2021. "The Causal Linkage between Energy Price and Food Price," Energies, MDPI, vol. 14(14), pages 1-13, July.
    16. Wang, Yudong & Wu, Chongfeng & Yang, Li, 2014. "Oil price shocks and agricultural commodity prices," Energy Economics, Elsevier, vol. 44(C), pages 22-35.
    17. Mustafa Gülerce & Gazanfer Ünal, 2017. "Forecasting Of Oil And Agricultural Commodity Prices: Varma Versus Arma," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 12(03), pages 1-30, September.
    18. Debdatta Pal & Subrata K. Mitra, 2017. "Diesel and soybean price relationship in the USA: evidence from a quantile autoregressive distributed lag model," Empirical Economics, Springer, vol. 52(4), pages 1609-1626, June.
    19. Matteo Manera, Marcella Nicolini, and Ilaria Vignati, 2013. "Financial Speculation in Energy and Agriculture Futures Markets: A Multivariate GARCH Approach," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    20. Maurice, Noemie & Davis, Junior, 2011. "Unravelling the underlying causes of price volatility in world coffee and cocoa commodity markets," MPRA Paper 43813, University Library of Munich, Germany, revised 2012.

    More about this item

    Keywords

    Pakistan; Poverty; Inflation; Household Budget; Food; Fuel;
    All these keywords.

    JEL classification:

    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:lje:journl:v:13:y:2008:i:sp:p:117-138. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Shahid Salahuddin (email available below). General contact details of provider: https://edirc.repec.org/data/lsecopk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.