IDEAS home Printed from https://ideas.repec.org/p/cte/werepe/2902.html
   My bibliography  Save this paper

Disaggregated welfare effects of agricultural price policies in urban Indonesia

Author

Listed:
  • Jensen, Helen
  • Manrique, Justo

Abstract

This paper presents a theoretically consistent methodology that could be used to measure changes in different income groups' welfare level caused by alternative price policies. The paper details the basic stages of the methodology: classification of households in income groups, estimation of demand systems for each income group, and measurement of welfare changes using compensating variation measures. The methodology was applied to data related to expenditure and socioeconomic characteristics of Indonesian Urban households. A simulation analysis measuring the welfare changes under different pricing scenarios showed that the welfare of the low-income households was affected most by increases in the prices of rice and fish.

Suggested Citation

  • Jensen, Helen & Manrique, Justo, 1993. "Disaggregated welfare effects of agricultural price policies in urban Indonesia," UC3M Working papers. Economics 2902, Universidad Carlos III de Madrid. Departamento de Economía.
  • Handle: RePEc:cte:werepe:2902
    as

    Download full text from publisher

    File URL: https://e-archivo.uc3m.es/bitstream/handle/10016/2902/we933814.pdf?sequence=1
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Spitze, R.G.F., 1983. "Series E, Agricultural Economics," Illinois Agricultural Economics Staff Paper 244634, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    2. Pollak, Robert A & Wales, Terence J, 1981. "Demographic Variables in Demand Analysis," Econometrica, Econometric Society, vol. 49(6), pages 1533-1551, November.
    3. Per Pinstrup-Andersen & Elizabeth Caicedo, 1978. "The Potential Impact of Changes in Income Distribution on Food Demand and Human Nutrition," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 60(3), pages 402-415.
    4. Jarque, Carlos M., 1987. "An application of LDV models to household expenditure analysis in Mexico," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 31-53.
    5. Per Pinstrup-Andersen & Norha Ruiz de Londoño & Edward Hoover, 1976. "The Impact of Increasing Food Supply on Human Nutrition: Implications for Commodity Priorities in Agricultural Research and Policy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 58(2), pages 133-142.
    6. Ray, Ranjan, 1982. "The testing and estimation of complete demand systems on household budget surveys," European Economic Review, Elsevier, vol. 17(3), pages 349-369.
    7. Ray, Ranjan, 1980. "Analysis of a Time Series of Household Expenditure Surveys for India," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 595-602, November.
    8. Timmer, C Peter, 1981. "Is There "Curvature" in the Slutsky Matrix?," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 395-402, August.
    9. Kennes, Walter, 1983. "Estimating Demand for Agricultural Commodities in Thailand, Combining Time-Series and Cross-Section Data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 10(4), pages 357-376.
    10. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    11. Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762.
    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. Helen Jensen & Justo Manrique, 1998. "Demand for food commodities by income groups in Indonesia," Applied Economics, Taylor & Francis Journals, vol. 30(4), pages 491-501.
    2. Liu, Kang Ernest & Chern, Wen S., 2004. "Translating And Scaling Of Budget Shares: An Empirical Analysis Of Chinese Urban Household Demand For Meat," 2004 Annual meeting, August 1-4, Denver, CO 20001, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Barrett, Christopher B., 1996. "On price risk and the inverse farm size-productivity relationship," Journal of Development Economics, Elsevier, vol. 51(2), pages 193-215, December.
    4. Barrett, Christopher B., 1999. "The microeconomics of the developmental paradox: on the political economy of food price policy," Agricultural Economics, Blackwell, vol. 20(2), pages 159-172, March.
    5. Brosig, Stephan, 2000. "A model of household type specific food demand behaviour in Hungary," IAMO Discussion Papers 30, Leibniz Institute of Agricultural Development in Transition Economies (IAMO).
    6. Sasaki, Kozo, 1996. "Consumer demand in Japan: An analysis using the Deaton-Muellbauer system," Japan and the World Economy, Elsevier, vol. 8(3), pages 335-351, September.
    7. Gundimeda, Haripriya & Kohlin, Gunnar, 2008. "Fuel demand elasticities for energy and environmental policies: Indian sample survey evidence," Energy Economics, Elsevier, vol. 30(2), pages 517-546, March.
    8. Hannan, M.M & Dutta, A. & Kabir, H. & Hannan, M.M, 2010. "Household demand for dairy products in Bangladesh: An Application of AIDS Model," Journal of the Bangladesh Agricultural University, Bangladesh Agricultural University Research System (BAURES), vol. 8.
    9. Wen S. Chern & Kimiko Ishibashi & Kiyoshi Taniguchi & Yuki Tokoyama, 2002. "Analysis of Food Consumption Behavior by Japanese Households," Working Papers 02-06, Agricultural and Development Economics Division of the Food and Agriculture Organization of the United Nations (FAO - ESA).
    10. Echeverría, Lucía & Molina, José Alberto, 2021. "Poor vs Non-Poor Households in Uruguay: Welfare Differences from Food Price Changes," GLO Discussion Paper Series 890, Global Labor Organization (GLO).
    11. Haripriya Gundimeda & Gunnar Köhlin, 2006. "Fuel Demand Elasticities for Energy and Environmental Policies Indian Sample Survey Evidence," Energy Working Papers 22501, East Asian Bureau of Economic Research.
    12. Li, Shaoting & Chen, Xuan & Ren, Yanjun & Glauben, Thomas, 2024. "The impact of demographic dynamics on food consumption and its environmental outcomes: Evidence from China," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 23(2), pages 414-429.
    13. Liu, Kang Ernest & Chern, Wen S., 2003. "Food Demand In Urban China: An Application Of A Multi-Stage Censored Demand System," 2003 Annual meeting, July 27-30, Montreal, Canada 21919, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    14. Haripriya Gundimeda & Atheendar Gunnar Köhlin, 2006. "Fuel Demand Elasticities for Energy and Environmental Policies: Indian Sample Survey Evidence," Working Papers 2006-09, Madras School of Economics,Chennai,India.
    15. 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).
    16. Robin Winkler, 2015. "Feast or Famine: The Welfare Impact of Food Price Controls in Nazi Germany," Oxford Economic and Social History Working Papers _136, University of Oxford, Department of Economics.
    17. Brandt, Jon & Wilkinson, Ann, 1989. "Incorporating Demographic Information in an Almost Ideal Demand System," Working Papers 256738, University of Missouri Columbia, Department of Agricultural Economics.
    18. Molnár, György & Cseres-Gergely, Zsombor, 2008. "Háztartási fogyasztói magatartás és jólét Magyarországon a rendszerváltás után [Household consumer behaviour and welfare in Hungary since the change of system]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 107-135.
    19. Taniguchi, Kiyoshi & Chern, Wen S., 2000. "Income Elasticity Of Rice Demand In Japan And Its Implications: Cross-Sectional Data Analysis," 2000 Annual meeting, July 30-August 2, Tampa, FL 21755, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Marsh, Thomas L. & Piggott, Nicholas E., 2013. "Measuring Pre-Commited Quantities Through Consumer Price Formation," 2013 Conference (57th), February 5-8, 2013, Sydney, Australia 152165, Australian Agricultural and Resource Economics Society.

    More about this item

    Keywords

    Methodology;

    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:cte:werepe:2902. 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: Ana Poveda (email available below). General contact details of provider: http://www.eco.uc3m.es/ .

    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.