IDEAS home Printed from https://ideas.repec.org/p/ind/igiwpp/2008-005.html
   My bibliography  Save this paper

Poverty and food insecurity in India: A Disaggregated regional profile

Author

Listed:
  • M.H. Suryanarayana

    (Indira Gandhi Institute of Development Research)

  • Dimitri Silva

    (International Poverty Centre)

Abstract

This study provides a profile of deprivation with respect to consumer expenditure, cereal consumption and energy intake across demographic and agro-climatic regions as defined by the National Sample Survey Organisation of India. It examines this evidence at the disaggregated level to verify whether a public distribution system (PDS) targeted with reference to estimates of poverty would end up penalizing the non-poor but food insecure. The empirical profiles have also useful policy relevance with respect to decentralized formulation and implementation of the PDS.

Suggested Citation

  • M.H. Suryanarayana & Dimitri Silva, 2008. "Poverty and food insecurity in India: A Disaggregated regional profile," Indira Gandhi Institute of Development Research, Mumbai Working Papers 2008-005, Indira Gandhi Institute of Development Research, Mumbai, India.
    • Handle: RePEc:ind:igiwpp:2008-005
    as

    Download full text from publisher

    File URL: http://www.igidr.ac.in/pdf/publication/WP-2008-005.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Giovanni Andrea Cornia & Frances Stewart, 1993. "Two errors of targeting," Journal of International Development, John Wiley & Sons, Ltd., vol. 5(5), pages 459-496, September.
      • Giovanni Andrea Cornia & Frances Stewart, 1993. "Two Errors of Targeting," Papers iopeps93/54, Innocenti Occasional Papers, Economic Policy Series.
    2. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-766, May.
    3. M. H. Suryanarayana & Dimitri Silva, 2007. "Is Targeting the Poor a Penalty on the Food Insecure? Poverty and Food Insecurity in India," Journal of Human Development and Capabilities, Taylor & Francis Journals, vol. 8(1), pages 89-107.
    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. Stoeffler, Quentin & Mills, Bradford & del Ninno, Carlo, 2016. "Reaching the Poor: Cash Transfer Program Targeting in Cameroon," World Development, Elsevier, vol. 83(C), pages 244-263.
    2. M.H. Suryanarayana, 2011. "Policies for the Poor: Verifying the Information Base," Journal of Quantitative Economics, The Indian Econometric Society, vol. 9(1), pages 73-88.
    3. Pinaki Das & Sk Md Abul Basar, 2020. "Are the Non-poor Households Nutritionally Secure? An Assessment from NSSO Unit Level Data in India Between 2004–2005 and 2011–2012," Indian Journal of Human Development, , vol. 14(2), pages 182-201, August.
    4. Park, Albert & Wang, Sangui & Wu, Guobao, 2002. "Regional poverty targeting in China," Journal of Public Economics, Elsevier, vol. 86(1), pages 123-153, October.
    5. Suryanarayana M H, 2008. "Agflation and the PDS: Some Issues," Working Papers id:1747, eSocialSciences.
    6. Suryanarayana M H, 2013. "Nutritional Norms for Poverty: Issues and Implications," Working Papers id:5392, eSocialSciences.
    7. Wodon, Quentin T., 1997. "Targeting the poor using ROC curves," World Development, Elsevier, vol. 25(12), pages 2083-2092, December.
    8. Gao, Qin & Yang, Sui & Li, Shi, 2015. "Welfare, targeting, and anti-poverty effectiveness: The case of urban China," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 30-42.
    9. Bhuyan, Biswabhusan & Sahoo, Bimal Kishore & Suar, Damodar, 2020. "Nutritional status, poverty, and relative deprivation among socio-economic and gender groups in India: Is the growth inclusive?," World Development Perspectives, Elsevier, vol. 18(C).
    10. Skoufias, Emmanuel & Davis, Benjamin & de la Vega, Sergio, 2001. "Targeting the Poor in Mexico: An Evaluation of the Selection of Households into PROGRESA," World Development, Elsevier, vol. 29(10), pages 1769-1784, October.
    11. Azeem, Muhammad Masood & Mugera, Amin W. & Schilizzi, Steven, 2016. "Living on the edge: Household vulnerability to food-insecurity in the Punjab, Pakistan," Food Policy, Elsevier, vol. 64(C), pages 1-13.
    12. Durgesh C. Pathak & Srijit Mishra, 2015. "Poverty Estimates in India: Old and New Methods, 2004–2005," Poverty & Public Policy, John Wiley & Sons, vol. 7(1), pages 44-63, March.
    13. Shijiang Chen & Mingyue Liang & Wen Yang, 2022. "Does Digital Financial Inclusion Reduce China’s Rural Household Vulnerability to Poverty: An Empirical Analysis From the Perspective of Household Entrepreneurship," SAGE Open, , vol. 12(2), pages 21582440221, June.
    14. Khanna, Neha, 2000. "Measuring environmental quality: an index of pollution," Ecological Economics, Elsevier, vol. 35(2), pages 191-202, November.
    15. Do, Manh Hung & Nguyen, Trung Thanh & Grote, Ulrike, 2023. "Land consolidation, rice production, and agricultural transformation: Evidence from household panel data for Vietnam," Economic Analysis and Policy, Elsevier, vol. 77(C), pages 157-173.
    16. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    17. Davidson, Russell & Flachaire, Emmanuel, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Journal of Econometrics, Elsevier, vol. 141(1), pages 141-166, November.
    18. Chakravarty, Satya R. & Deutsch, Joseph & Silber, Jacques, 2008. "On the Watts Multidimensional Poverty Index and its Decomposition," World Development, Elsevier, vol. 36(6), pages 1067-1077, June.
    19. Hongliang Wang & Yiwen Yu, 2016. "Increasing health inequality in China: An empirical study with ordinal data," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 14(1), pages 41-61, March.
    20. Alejandro Lopez-Feldman, 2013. "Climate change, agriculture, and poverty: A household level analysis for rural Mexico," Economics Bulletin, AccessEcon, vol. 33(2), pages 1126-1139.

    More about this item

    Keywords

    Consumer expenditure; food insecure; non-poor; poverty; public distribution system;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ind:igiwpp:2008-005. 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: Shamprasad M. Pujar (email available below). General contact details of provider: https://edirc.repec.org/data/igidrin.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.