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Household meat demand in Greece: A demand systems approach using microdata

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  • Panagiotis Lazaridis

    (Agricultural University of Athens, Department of Agricultural Economics, and Rural Development, Iera Odos 75, Athens, 118 55, Greece)

Abstract

This article examines meat consumption patterns of households in Greece using data from family budget surveys. For that purpose the linear approximate Almost Ideal Demond System was employed to investigate the economics and demographic effects on the demand for four types of meat. Prices were adjusted for quality, and the demographic translation method was used to incorporate the demographic variables. Finally, the two-stage generalized Heckman procedure was employed to take into account censoring of the dependent variables. [EconLit citations: Q11, D12.] © 2003 Wiley Periodicals, Inc. Agribusiness 19: 43-59, 2003.

Suggested Citation

  • Panagiotis Lazaridis, 2003. "Household meat demand in Greece: A demand systems approach using microdata," Agribusiness, John Wiley & Sons, Ltd., vol. 19(1), pages 43-59.
    • Handle: RePEc:wly:agribz:v:19:y:2003:i:1:p:43-59
    DOI: 10.1002/agr.10044
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    4. Zhuo Chen & Steven Yen, 2005. "On bias correction in the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 37(21), pages 2459-2468.
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    7. Klaus Salhofer & Christoph Tribl & Franz Sinabell, 2012. "Market power in Austrian food retailing: the case of milk products," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 39(1), pages 109-122, February.
    8. Vu, Linh Hoang, 2012. "Estimation Of Food Demand In Vietnam," MPRA Paper 94801, University Library of Munich, Germany.
    9. Anna KOUTROULOU & Lambros TSOURGIANNIS, 2011. "Factors affecting consumers’ purchasing behaviour towards local foods in Greece: the case of the prefecture of Xanthi," Scientific Bulletin - Economic Sciences, University of Pitesti, vol. 10(2), pages 34-47.
    10. Mora Rivera, José Jorge. & Arellano-González, Jesús., 2012. "Migration and Remittances Effects on Consumption of the Poorest : the Mexican Case," Panorama Económico, Escuela Superior de Economía, Instituto Politécnico Nacional, vol. 0(14), pages 121-163, primer se.
    11. Moz-Christofoletti, Maria Alice & Pereda, Paula Carvalho, 2021. "Distributional welfare and emission effects of energy tax policies in Brazil," Energy Economics, Elsevier, vol. 104(C).
    12. Linh Hoang Vu, 2020. "Estimation and Analysis of Food Demand Patterns in Vietnam," Economies, MDPI, vol. 8(1), pages 1-17, February.
    13. Irene C. Kamenidou & Spyridon A. Mamalis & Stavros Pavlidis & Evangelia-Zoi G. Bara, 2019. "Segmenting the Generation Z Cohort University Students Based on Sustainable Food Consumption Behavior: A Preliminary Study," Sustainability, MDPI, vol. 11(3), pages 1-22, February.
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    15. Vigani,Mauro & Dudu,Hasan, 2021. "Demand Analysis of Multiple Goods and Services in Vietnam," Policy Research Working Paper Series 9803, The World Bank.
    16. Rémy Lambert & Bruno Larue & Clément Yélou & George Criner, 2006. "Fish and meat demand in Canada: Regional differences and weak separability," Agribusiness, John Wiley & Sons, Ltd., vol. 22(2), pages 175-199.
    17. Zhang, Aihua & Lv, Jia & Kong, Ying, 2017. "The Effects of the Internet and Mobile Services on Urban Household Expenditures," 14th ITS Asia-Pacific Regional Conference, Kyoto 2017: Mapping ICT into Transformation for the Next Information Society 168554, International Telecommunications Society (ITS).
    18. Thiele Silke, 2010. "Erhöhung der Mehrwertsteuer für Lebensmittel: Budget- und Wohlfahrtseffekte für Konsumenten / Increase of the Value Added Tax (VAT): Budget- and Welfare- Effects for Consumers," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 230(1), pages 115-130, February.
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    20. Thiele, Silke, 2008. "Elastizitäten der Nachfrage privater Haushalte nach Nahrungsmitteln – Schätzung eines AIDS auf Basis der Einkommens- und Verbrauchsstichprobe 2003," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(05), pages 1-11.

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