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Food Price Pass‐Through and the Role of Domestic Margin Services

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  • Fan Yang
  • Eddy Bekkers
  • Martina Brockmeier
  • Joseph Francois

Abstract

The recent volatility in international agricultural markets has drawn attention to the impact of rising international agricultural prices and the induced price‐insulating measures on consumer food prices. Analyses based on simulation models on this topic typically ignore the role of domestic margin services. We extend the standard Global Trade Analysis Project (GTAP) model to allow for variations in the share of domestic margin services in consumed food across countries. This approach enables us to differentiate consumer prices from producer prices. Following the extension, the results show that domestic margin services reduce the consumer food price volatility for all countries, especially in high‐income countries, where the share of domestic margin services in final food consumption is higher. The effect of price‐insulating border policies is also reduced in the extended model. We find that our extension of the GTAP model greatly improves simulations of the 2007 surge in international agricultural prices. We validate our extension of the GTAP model by showing that the econometrically estimated food price pass‐through is decreasing with income and thus, is smaller in high‐income countries.

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  • Fan Yang & Eddy Bekkers & Martina Brockmeier & Joseph Francois, 2015. "Food Price Pass‐Through and the Role of Domestic Margin Services," Journal of Agricultural Economics, Wiley Blackwell, vol. 66(3), pages 796-811, September.
  • Handle: RePEc:bla:jageco:v:66:y:2015:i:3:p:796-811
    DOI: 10.1111/1477-9552.12110
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    1. Bekkers, Eddy & Brockmeier, Martina & Francois, Joseph & Yang, Fan, 2017. "Local Food Prices and International Price Transmission," World Development, Elsevier, vol. 96(C), pages 216-230.
    2. Meller, Leandro & Larrosa, Juan M.C. & Delbianco, Fernando & Ramírez Muñoz de Toro, Gonzalo & Uriarte, Juan Ignacio, 2021. "Inflación semanal en galletitas: un enfoque de datos de panel. || Weekly Cookie Inflation: A Panel Data Approach," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 31(1), pages 417-440, June.
    3. Yang, Fan & Urban, Kirsten & Brockmeier, Martina & Bekkers, Eddy & Francois, Joseph, 2016. "Impact of Increasing Agricultural Domestic Support on Food Price Transmission," Conference papers 332806, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    4. Ferguson, Shon & Gars, Johan, 2016. "Productivity Shocks, International Trade and Import Prices: Evidence from Agriculture," Working Paper Series 1107, Research Institute of Industrial Economics.
    5. 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.
    6. Shon M Ferguson & Johan Gars, 2020. "Measuring the impact of agricultural production shocks on international trade flows," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1094-1132.
    7. Lodovico Muratori & Susanne Fricke, 2017. "Spatial price transmission and trade policies: new evidence for agricultural products from selected sub-Saharan African countries with high frequency data," Jena Economics Research Papers 2017-006, Friedrich-Schiller-University Jena.
    8. Tim Lloyd, 2017. "Forty Years of Price Transmission Research in the Food Industry: Insights, Challenges and Prospects," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(1), pages 3-21, February.

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