IDEAS home Printed from https://ideas.repec.org/a/bla/ajarec/v52y2008i3p321-338.html
   My bibliography  Save this article

Demand for fish in Asia: a cross-country analysis

Author

Listed:
  • Madan Mohan Dey
  • Yolanda T. Garcia
  • Kumar Praduman
  • Somying Piumsombun
  • Muhammad Sirajul Haque
  • Luping Li
  • Alias Radam
  • Athula Senaratne
  • Nguyen Tri Khiem
  • Sonny Koeshendrajana

Abstract

Fish demand patterns in nine Asian countries were investigated using a multistage budgeting framework allowing a disaggregated approach to analysing fish consumption. This paper highlights the heterogeneity of fisheries products in terms of species, sources and cultural responses of consumers, factors that are important in fish demand under the Asian setting. Specifically, fish demand by income groups were compared to determine how the low- and high-income households respond to price and income changes. Results showed that the estimated price and income elasticities of all fish types included in the study were relatively more elastic among the poorer households. Copyright 2008 The Authors. Journal compilation 2008 Australian Agricultural and Resource Economics Society Inc. and Blackwell Publishing Asia Pty Ltd.

Suggested Citation

  • Madan Mohan Dey & Yolanda T. Garcia & Kumar Praduman & Somying Piumsombun & Muhammad Sirajul Haque & Luping Li & Alias Radam & Athula Senaratne & Nguyen Tri Khiem & Sonny Koeshendrajana, 2008. "Demand for fish in Asia: a cross-country analysis ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(3), pages 321-338, September.
    • Handle: RePEc:bla:ajarec:v:52:y:2008:i:3:p:321-338
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1467-8489.2008.00418.x
    File Function: link to full text
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. C. Peter Timmer & Harold Alderman, 1979. "Estimating Consumption Parameters for Food Policy Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 982-987.
    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. Robert H. Beach & Matthew T. Holt, 2001. "Incorporating Quadratic Scale Curves in Inverse Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 230-245.
    4. James S. Eales & Laurian J. Unnevehr, 1988. "Demand for Beef and Chicken Products: Separability and Structural Change," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 521-532.
    5. Steven T. Yen & Terry L. Roe, 1989. "Estimation of a Two-Level Demand System with Limited Dependent Variables," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(1), pages 85-98.
    6. Abigail Tiffin & Richard Tiffin, 1999. "Estimates of Food Demand Elasticities for Great Britain: 1972–1994," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 140-147, January.
    7. Patrick J. Byrne & Oral Capps & Atanu Saha, 1996. "Analysis of Food-Away-from-Home Expenditure Patterns for U.S. Households, 1982–89," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(3), pages 614-627.
    8. Jorgenson, Dale W & Slesnick, Daniel T & Stoker, Thomas M, 1988. "Two-Stage Budgeting and Exact Aggregation," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(3), pages 313-325, July.
    9. Senauer, Benjamin, 1990. "Household behaviour and nutrition in developing countries," Food Policy, Elsevier, vol. 15(5), pages 408-417, October.
    10. Frank Asche & Cathy R. Wessells, 1997. "On Price Indices in the Almost Ideal Demand System," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(4), pages 1182-1185.
    11. Michalek, J & Keyzer, M A, 1992. "Estimation of a Two-Stage LES-AIDS Consumer Demand System for Eight EC Countries," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 19(2), pages 137-163.
    12. Dickens, Richard & Fry, Vanessa & Pashardes, Panos, 1993. "Non-linearities and Equivalence Scales," Economic Journal, Royal Economic Society, vol. 103(417), pages 359-368, March.
    13. Shenggen Fan & Eric J. Wailes & Gail L. Cramer, 1995. "Household Demand in Rural China: A Two-Stage LES-AIDS Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 54-62.
    14. 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.
    15. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    16. Giancarlo Moschini, 1995. "Units of Measurement and the Stone Index in Demand System Estimation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(1), pages 63-68.
    17. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    18. Federico Perali & Jean-Paul Chavas, 2000. "Estimation of Censored Demand Equations from Large Cross-Section Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 1022-1037.
    19. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    20. John L. Park & Rodney B. Holcomb & Kellie Curry Raper & Oral Capps, 1996. "A Demand Systems Analysis of Food Commodities by U.S. Households Segmented by Income," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(2), pages 290-300.
    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. Dey, Madan Mohan & Kumar, Praduman & Chen, Oai Li & Khan, Md. Akhtaruzzaman & Barik, Nagesh Kumar & Li, Luping & Nissapa, Ayut & Pham, Ngoc Sao, 2013. "Potential impact of genetically improved carp strains in Asia," Food Policy, Elsevier, vol. 43(C), pages 306-320.
    2. Lancker, Kira & Bronmann, Julia, 2020. "Quantifying consumers’ love for marine biodiversity," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304214, Agricultural and Applied Economics Association.
    3. Fredrick Mangwaya Banda & Abdi-Khalil Edriss, 2023. "Analysis of Demand for Fish in Urban Malawi," International Review of Management and Marketing, Econjournals, vol. 13(5), pages 33-40, September.
    4. Ly, Nguyen & Henry, Kinnucan, 2016. "Some Effects of Income and Population Growth on Fish Price and Welfare," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229892, Southern Agricultural Economics Association.
    5. Bohnes, Florence Alexia & Rodriguez, U-Primo & Nielsen, Max & Laurent, Alexis, 2020. "Are aquaculture growth policies in high-income countries due diligence or illusionary dreams? Foreseeing policy implications on seafood production in Singapore," Food Policy, Elsevier, vol. 93(C).
    6. Kumar, Praduman & Joshi, P.K., 2014. "Input Subsidy vs Farm Technology — Which is More Important for Agricultural Development?," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 27(1).
    7. Eegunjobi, Ruth, 2023. "Do Service-oriented Seafood Products Hinder Export Performance? An Insight from Namibia," African Journal of Economic Review, African Journal of Economic Review, vol. 11(3), June.
    8. Kira Lancker & Julia Bronnmann, 2022. "Substitution Preferences for Fish in Senegal," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 1015-1045, August.
    9. Kumar, Praduman & Kumar, Anjani & Parappurathu, Shinoj & Raju, S.S., 2011. "Estimation of Demand Elasticity for Food Commodities in India," Agricultural Economics Research Review, Agricultural Economics Research Association (India), vol. 24(1), June.
    10. Phillips, M.. & Henriksson, P.J.G. & Tran, N. & Chan, C.Y. & Mohan, C.V. & Rodriguez, U-P. & Suri, S. & Hall, S. & Koeshendrajana, S., 2015. "Exploring Indonesian aquaculture futures," Monographs, The WorldFish Center, number 40532, April.
    11. 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.

    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. Hongbo Liu & Kevin A. Parton & Zhang-Yue Zhou & Rod Cox, 2009. "At-home meat consumption in China: an empirical study ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 485-501, October.
    2. Liu, Hongbo & Parton, Kevin A. & Zhou, Zhang-Yue & Cox, Rod, 2009. "At-home meat consumption in China: an empirical study," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 53(4), pages 1-17.
    3. Pangaribowo, Evita Hanie & Tsegai, Daniel W., 2011. "Food Demand Analysis of Indonesian Households with Particular Attention to the Poorest," Discussion Papers 116748, University of Bonn, Center for Development Research (ZEF).
    4. Rentsch, Dennis & Damon, Amy, 2013. "Prices, poaching, and protein alternatives: An analysis of bushmeat consumption around Serengeti National Park, Tanzania," Ecological Economics, Elsevier, vol. 91(C), pages 1-9.
    5. Bai, Junfei & Seale Jr, James L. & Wahl, Thomas I., 2020. "Meat demand in China: to include or not to include meat away from home?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(1), January.
    6. Fadhuile, Adelaide & Lemarie, Stephane & Pirotte, Alain, 2011. "Pesticides Uses in Crop Production: What Can We Learn from French Farmers Practices?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103654, Agricultural and Applied Economics Association.
    7. Silva, Andres & Garcia, Marian & Bailey, Alastair, 2012. "The Impact of Child Obesity News on Household Food Expenditure in the United Kingdom," 2012 AAEA/EAAE Food Environment Symposium 123526, Agricultural and Applied Economics Association.
    8. Luigi Cembalo & Francesco Caracciolo & Eugenio Pomarici, 2014. "Drinking cheaply: the demand for basic wine in Italy," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 58(3), pages 374-391, July.
    9. 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.
    10. Femenia, Fabienne, 2019. "A Meta-Analysis of the Price and Income Elasticities of Food Demand," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 68(2), June.
    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. Tey, (John) Yeong-Sheng & Shamsudin, Mad Nasir & Mohamed, Zainalabidin & Abdullah, Amin Mahir & Radam, Alias, 2008. "Demand analyses of food in Malaysia: Effects of model specification and demographic variables," MPRA Paper 15063, University Library of Munich, Germany.
    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. 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.
    15. Meyerhoefer, Chad D. & Ranney, Christine K. & Sahn, David E., 2003. "Consistent Estimation Of Longitudinal Censored Demand Systems: An Application To Transition Country Data," Working Papers 127252, Cornell University, Department of Applied Economics and Management.
    16. 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.
    17. Lubna Naz & Munir Ahmad & G.M Arif, 2018. "Estimating Food Demand System and Rural Household Welfare: A Case study from Pakistan," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 10(4), pages 55-82, December.
    18. Asfaw, Solomon & Cattaneo, Andrea & Pallante, Giacomo & Palma, Alessandro, 2017. "Improving the efficiency targeting of Malawi's farm input subsidy programme: Big pain, small gain?," Food Policy, Elsevier, vol. 73(C), pages 104-118.
    19. 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).
    20. 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.

    More about this item

    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:bla:ajarec:v:52:y:2008:i:3:p:321-338. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/aaresea.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.