IDEAS home Printed from https://ideas.repec.org/a/ags/aolpei/348984.html
   My bibliography  Save this article

Effects of Socio-Economic and Demographic Factors on Meat Consumption Pattern in Iran: A Demand System Approach

Author

Listed:
  • Alizadeh, Parisa
  • Mohammadi, Hosein
  • Shahnoushi, Naser
  • Saghaian, Sayed

Abstract

Meat as one of the most important resources of protein has a special role in human nutrition. Understanding the meat consumption structure of households is essential for planning and policymaking in this regard. In this research, we studied consumption patterns of meat products including chicken, veal, lamb, and fish for households in Iran (Mashhad city) using demand system estimation. The hypothesis of this study is that chicken is a necessary goods and other types of meat are luxury goods. Given the cross-sectional nature of the data and presence of zero expenditure for some households, we used the censored demand model based on a consistent two-step approach. For this purpose, at first, four Probit models were estimated to determine the factors affecting the probability of purchasing each selected meat product. After that, the probability density function (PDF) and the cumulative distribution function (CDF) were calculated for each selected meat product, and the Almost Ideal Demand System (AIDS) considering PDF and CDF was estimated for all types of meat using a non-linear seemingly unrelated regression. Also, the effect of demographic variables on meat consumption pattern was considered in demand system. The results of expenditure elasticities confirmed the hypothesis. The highest own-price elasticity was related to veal. Based on compensated price elasticities, all types of meat were net substitutes for chicken and chicken was also a net complement for all types of meat. On the other hand, the only substitute for lamb and chicken was veal, but with compensating income effect fish also became a substitute for them. So, in the event of an increase of the price of lamb and chicken, we recommend subsidizing the consumers with low purchasing power in order to increase the diversity of consumption of protein products. This can increase the consumption of fish.

Suggested Citation

  • Alizadeh, Parisa & Mohammadi, Hosein & Shahnoushi, Naser & Saghaian, Sayed, 2024. "Effects of Socio-Economic and Demographic Factors on Meat Consumption Pattern in Iran: A Demand System Approach," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 16(3), September.
  • Handle: RePEc:ags:aolpei:348984
    DOI: 10.22004/ag.econ.348984
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/348984/files/622_agris-on-line-3-2024-alizadeh-mohammadi-shahnoushi-saghaian.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.348984?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Phuong, Nguyen Van & Cuong, Tran Huu & Mergenthaler, Marcus, 2014. "Effects of Socio-economic and Demographic Variables on Meat Consumption in Vietnam," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society (AESS), vol. 4(01), pages 1-16, January.
    2. J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
    3. Laura Blow, 2003. "Demographics in demand systems," IFS Working Papers W03/18, Institute for Fiscal Studies.
    4. Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
    5. Mehmet Ulubasoglu & Debdulal Mallick & Mokhtarul Wadud & Phillip Hone & Henry Haszler, 2016. "Food demand elasticities for Australia," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 60(2), pages 177-195, April.
    6. Yee Mon Aung & Ling Yee Khor & Nhuong Tran & Michael Akester & Manfred Zeller, 2022. "A Disaggregated Analysis of Fish Demand in Myanmar," Marine Resource Economics, University of Chicago Press, vol. 37(4), pages 467-490.
    7. Nguyen Van Phuong & Tran Huu Cuong & Marcus Mergenthaler, 2014. "Effects of Socio-economic and Demographic Variables on Meat Consumption in Vietnam," Asian Journal of Agriculture and rural Development, Asian Economic and Social Society, vol. 4(1), pages 7-22, January.
    8. Harald Tauchmann, 2010. "Consistency of Heckman-type two-step estimators for the multivariate sample-selection model," Applied Economics, Taylor & Francis Journals, vol. 42(30), pages 3895-3902.
    9. Okrent, Abigail M. & Alston, Julian M., 2012. "The Demand for Disaggregated Food-Away-from-Home and Food-at-Home Products in the United States," Economic Research Report 132469, United States Department of Agriculture, Economic Research Service.
    10. Roosen, Jutta & Staudigel, Matthias & Rahbauer, Sebastian, 2022. "Demand elasticities for fresh meat and welfare effects of meat taxes in Germany," Food Policy, Elsevier, vol. 106(C).
    11. Tonsor, Glynn T. & Mintert, James R. & Schroeder, Ted C., 2010. "U.S. Meat Demand: Household Dynamics and Media Information Impacts," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 35(01), pages 1-17.
    12. Brian P. Poi, 2008. "Demand-system estimation: Update," Stata Journal, StataCorp LP, vol. 8(4), pages 554-556, December.
    13. Nguyen Van Phuong & Tran Huu Cuong & Marcus Mergenthaler, 2014. "Effects of Socio-economic and Demographic Variables on Meat Consumption in Vietnam," Asian Journal of Agriculture and Rural Development, Asian Economic and Social Society, vol. 4(1), pages 7-22.
    14. Bouyssou, Clara G. & Jensen, Jørgen Dejgård & Yu, Wusheng, 2024. "Food for thought: A meta-analysis of animal food demand elasticities across world regions," Food Policy, Elsevier, vol. 122(C).
    15. Cliona Ni Mhurchu & Helen Eyles & Chris Schilling & Qing Yang & William Kaye-Blake & Murat Genç & Tony Blakely, 2013. "Food Prices and Consumer Demand: Differences across Income Levels and Ethnic Groups," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-12, October.
    16. Zheng, Zhihao & Henneberry, Shida Rastegari, 2010. "An Analysis of Food Grain Consumption in Urban Jiangsu Province of China," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(2), May.
    17. Zijun Wang & David A. Bessler, 2003. "Forecast evaluations in meat demand analysis," Agribusiness, John Wiley & Sons, Ltd., vol. 19(4), pages 505-523.
    18. Ken-ichi Mizobuchi & Hisashi Tanizaki, 2014. "On estimation of almost ideal demand system using moving blocks bootstrap and pairs bootstrap methods," Empirical Economics, Springer, vol. 47(4), pages 1221-1250, December.
    19. Geir Gustavsen & Kyrre Rickertsen, 2014. "Consumer cohorts and purchases of nonalcoholic beverages," Empirical Economics, Springer, vol. 46(2), pages 427-449, March.
    20. Diansheng Dong & Brian W. Gould & Harry M. Kaiser, 2004. "Food Demand in Mexico: An Application of the Amemiya-Tobin Approach to the Estimation of a Censored Food System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1094-1107.
    21. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    22. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    23. 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.
    24. Widarjono, Agus & Mumpuni Ruchba, Sarastri, 2021. "Demand for Meat in Indonesia: Censored AIDS Model," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 13(2), June.
    Full references (including those not matched with items on IDEAS)

    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. Pablo Gálvez & Petr Mariel & David Hoyos, 2016. "Análisis de la demanda residencial de los servicios básicos en España usando un modelo QUAIDS censurado," Estudios de Economia, University of Chile, Department of Economics, vol. 43(1 Year 20), pages 5-28, June.
    2. Andrej Cupák & Peter Tóth, 2017. "Measuring the Efficiency of VAT reforms: Evidence from Slovakia," Working and Discussion Papers WP 6/2017, Research Department, National Bank of Slovakia.
    3. Javier García-Enríquez & Cruz A. Echevarría, 2018. "Demand for culture in Spain and the 2012 VAT rise," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 42(3), pages 469-506, August.
    4. Ole Boysen, 2016. "Food Demand Characteristics in Uganda: Estimation and Policy Relevance," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 260-293, June.
    5. Julia Bronnmann & Stefan Guettler & Jens-Peter Loy, 2019. "Efficiency of correction for sample selection in QUAIDS models: an example for the fish demand in Germany," Empirical Economics, Springer, vol. 57(4), pages 1469-1493, October.
    6. Javier García-Enríquez & Cruz A. Echevarría, 2016. "Consistent Estimation of a Censored Demand System and Welfare Analysis: The 2012 VAT Reform in Spain," Journal of Agricultural Economics, Wiley Blackwell, vol. 67(2), pages 324-347, June.
    7. Peltner, Jonas & Thiele , Silke, 2021. "Elasticities of Food Demand in Germany – A Demand System Analysis Using Disaggregated Household Scanner Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(01), January.
    8. Vardges Hovhannisyan & Hayk Khachatryan, 2017. "Ornamental Plants in the United States: An Econometric Analysis of a Household‐Level Demand System," Agribusiness, John Wiley & Sons, Ltd., vol. 33(2), pages 226-241, April.
    9. Peter Tóth & Andrej Cupák & Marian Rizov, 2021. "Measuring the efficiency of VAT reforms: a demand system simulation approach," Oxford Economic Papers, Oxford University Press, vol. 73(3), pages 1218-1243.
    10. Peltner, Jonas & Thiele, Silke, 2021. "Elasticities of Food Demand in Germany – A Demand System Analysis Using Disaggregated Household Scanner Data," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 70(01), January.
    11. 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.
    12. Golan, Amos & LaFrance, Jeffrey T & Perloff, Jeffrey M. & Seabold, Skipper, 2017. "Estimating a Demand System with Choke Prices," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt4qt9q8vr, Department of Agricultural & Resource Economics, UC Berkeley.
    13. Astrid Jonas & Jutta Roosen, 2008. "Demand for milk labels in Germany: organic milk, conventional brands, and retail labels," Agribusiness, John Wiley & Sons, Ltd., vol. 24(2), pages 192-206.
    14. Jing Li & Edward C. Jaenicke & Tobenna D. Anekwe & Alessandro Bonanno, 2018. "Demand for ready‐to‐eat cereals with household‐level censored purchase data and nutrition label information: A distance metric approach," Agribusiness, John Wiley & Sons, Ltd., vol. 34(4), pages 687-713, October.
    15. Maganga, Assa Mulagha & Phiri, M. Alexander R. & Mapemba, Lawrence D. & Gebremariam, Gebrelibanos G. & Dzanja, Josephy K., 2014. "A Food Demand System Estimation for Rural Malawi: Estimates Using Third Integrated Household Survey Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 174853, Agricultural and Applied Economics Association.
    16. 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.
    17. Tselepidakis, Elina, 2015. "Food Safety and the Demand for Leafy Greens," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205583, Agricultural and Applied Economics Association.
    18. Honda, Arisa & Nakajima, Shinsaku & Ohura, Yuji & Kikushima, Ryosuke & Kono, Yoshinobu, 2015. "Household Salads Consumption in Japan: An Application of the two-step Demand System," 2015 Conference, August 9-14, 2015, Milan, Italy 211739, International Association of Agricultural Economists.
    19. repec:lic:licosd:28011 is not listed on IDEAS
    20. 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).
    21. 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.

    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:ags:aolpei:348984. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/fevszcz.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.