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Marketing margins and the welfare analysis of food price shocks

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  • Dawe, David
  • Maltsoglou, Irini

Abstract

Following the surge in world food prices of 2007–2008, there has been a revival of short-run household welfare analysis that seeks to understand whether food price increases are beneficial or detrimental for households. For a number of reasons, including lack of data in some instances, the short-run analytical approach has embedded an assumption of equal percentage price changes for consumers and producers. This assumption implies that food marketing costs change by the same percentage, because an x percent change in both farm prices and consumer prices implies that there must also be an x percent change in their difference. But this paper shows that most marketing costs are fixed, not proportional, and further that assuming proportional marketing costs leads to a bias towards finding negative impacts of higher food prices. The magnitude of the bias is shown to be greater than that from failing to incorporate supply and demand responses to price changes, and can be substantial relative to the effect estimated without incorporating the bias. In addition, the bias is not necessarily uniform across income classes; thus, failure to explicitly consider marketing margins has the potential to reverse the relative magnitudes of the impact on rich and poor.

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  • Dawe, David & Maltsoglou, Irini, 2014. "Marketing margins and the welfare analysis of food price shocks," Food Policy, Elsevier, vol. 46(C), pages 50-55.
  • Handle: RePEc:eee:jfpoli:v:46:y:2014:i:c:p:50-55
    DOI: 10.1016/j.foodpol.2013.12.010
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    2. Rischke, Ramona, 2015. "Predicting Welfare Effects of Food Price Shocks. A Comparative Analysis," GlobalFood Discussion Papers 201855, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
    3. Kamaruddin Kamaruddin & Yusri Hazmi & Raja Masbar & Sofyan Syahnur & M. Shabri Abd. Majid, 2021. "Asymmetric Impact of World Oil Prices on Marketing Margins: Application of NARDL Model for the Indonesian Coffee," International Journal of Energy Economics and Policy, Econjournals, vol. 11(6), pages 212-220.
    4. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 183-286.
    5. Balié, Jean & Minot, Nicholas & Valera, Harold Glenn A., 2021. "Distributional impacts of the rice tariffication policy in the Philippines," Economic Analysis and Policy, Elsevier, vol. 69(C), pages 289-306.
    6. Yamauchi, Futoshi & Larson, Donald F., 2019. "Long-term impacts of an unanticipated spike in food prices on child growth in Indonesia," World Development, Elsevier, vol. 113(C), pages 330-343.
    7. Xiangjun Wu & Juan Xu, 2021. "Drivers of food price in China: A heterogeneous panel SVAR approach," Agricultural Economics, International Association of Agricultural Economists, vol. 52(1), pages 67-79, January.
    8. James A. Edmonds & Robert Link & Stephanie T. Waldhoff & Ryna Cui, 2017. "A Global Food Demand Model For The Assessment Of Complex Human-Earth Systems," Climate Change Economics (CCE), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 1-22, November.
    9. Briones Alonso, Elena & Swinnen, Johan, 2016. "Who are the producers and consumers? Value chains and food policy effects in the wheat sector in Pakistan," Food Policy, Elsevier, vol. 61(C), pages 40-58.
    10. Patrick L. Hatzenbuehler & Philip C. Abbott & Tahirou Abdoulaye, 2017. "Price Transmission in Nigerian Food Security Crop Markets," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 143-163, February.
    11. Minot, Nicholas & Balie, Jean & Valera, Harold Glenn A., 2021. "Prioritizing yield-increasing crop research for poverty impact: An application of microsimulation in the Philippines," 2021 Annual Meeting, August 1-3, Austin, Texas 313976, Agricultural and Applied Economics Association.
    12. Levin, Jörgen & Vimefall, Elin, 2015. "Welfare impact of higher maize prices when allowing for heterogeneous price increases," Food Policy, Elsevier, vol. 57(C), pages 1-12.
    13. Alejandro Acosta & Rico Ihle & Stephan Cramon-Taubadel, 2019. "Combining market structure and econometric methods for pricetransmission analysis," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(4), pages 941-951, August.
    14. Jasmien De Winne & Gert Peersman, 2016. "Macroeconomic Effects of Disruptions in Global Food Commodity Markets: Evidence for the United States," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 47(2 (Fall)), pages 183-286.
    15. Mahdi Saravani & Nazar Dahmarde Ghaleno, 2015. "Inputs Price Transmission Effect on Marketing Margins on Fisheries Products of Iran," Modern Applied Science, Canadian Center of Science and Education, vol. 10(1), pages 184-184, January.

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