IDEAS home Printed from https://ideas.repec.org/p/man/sespap/1411.html
   My bibliography  Save this paper

Nutrition, Activity Intensity and Wage Linkages: Evidence from India

Author

Listed:
  • Katsushi S. Imai
  • Samuel Kobina Annim
  • Veena S. Kulkarni
  • Raghav Gaiha

Abstract

The present study tests the twin hypotheses, namely, (a) the poverty nutrition trap hypothesis that wages affect nutritional status, and (b) the activity hypothesis that activity intensity affects adult nutrition as measured by the Body Mass Index (BMI) in the context of India. The analyses draw upon three rounds of National Family Health Survey (NFHS) data in 1992, 1998 and 2005 and National Council of Applied Economic Research (NCAER) data in 2005. Our results indicate strong support for both the hypotheses in India. Physically intensive activity tends to worsen the nutritional conditions and there is evidence for a poverty nutrition trap associated with labor market participation.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Katsushi S. Imai & Samuel Kobina Annim & Veena S. Kulkarni & Raghav Gaiha, 2014. "Nutrition, Activity Intensity and Wage Linkages: Evidence from India," Economics Discussion Paper Series 1411, Economics, The University of Manchester.
  • Handle: RePEc:man:sespap:1411
    as

    Download full text from publisher

    File URL: http://hummedia.manchester.ac.uk/schools/soss/economics/discussionpapers/EDP-1411.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jha, Raghbendra & Gaiha, Raghav & Sharma, Anurag, 2009. "Calorie and Micronutrient Deprivation and Poverty Nutrition Traps in Rural India," World Development, Elsevier, vol. 37(5), pages 982-991, May.
    2. Dasgupta, Partha & Ray, Debraj, 1987. "Inequality as a Determinant of Malnutrition and Unemployment: Policy," Economic Journal, Royal Economic Society, vol. 97(385), pages 177-188, March.
    3. Bliss, Christopher & Stern, Nicholas, 1978. "Productivity, wages and nutrition : Part I: the theory," Journal of Development Economics, Elsevier, vol. 5(4), pages 331-362, December.
    4. Bliss, Christopher & Stern, Nicholas, 1978. "Productivity, wages and nutrition : Part II: Some observations," Journal of Development Economics, Elsevier, vol. 5(4), pages 363-398, December.
    5. Strauss, John, 1986. "Does Better Nutrition Raise Farm Productivity?," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 297-320, April.
    6. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    7. Dasgupta, Partha & Ray, Debraj, 1986. "Inequality as a Determinant of Malnutrition and Unemployment: Theory," Economic Journal, Royal Economic Society, vol. 96(384), pages 1011-1034, December.
    8. Swamy, Anand V., 1997. "A simple test of the nutrition-based efficiency wage model," Journal of Development Economics, Elsevier, vol. 53(1), pages 85-98, June.
    9. Harsha Aturupane & Anil B. Deolalikar & Dileni Gunewardena, 2008. "The Determinants of Child Weight and Height in Sri Lanka: A Quantile Regression Approach," WIDER Working Paper Series RP2008-53, World Institute for Development Economic Research (UNU-WIDER).
    10. Katsushi S. Imai, 2011. "Poverty, undernutrition and vulnerability in rural India: role of rural public works and food for work programmes," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(6), pages 669-691, November.
    11. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    12. Gaiha, Raghav & Jha, Raghbendra & Kulkarni, Vani S (ed.), 2014. "Diets, Malnutrition, and Disease: The Indian Experience," OUP Catalogue, Oxford University Press, number 9780198099215.
    13. S. Narayan, 2009. "India," Chapters, in: Peter Draper & Philip Alves & Razeen Sally (ed.), The Political Economy of Trade Reform in Emerging Markets, chapter 7, Edward Elgar Publishing.
    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. Imai, Katsushi S. & Gaiha, Raghav & Thapa, Ganesh, 2015. "Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 47-61.
    2. Katsushi S. Imai & Raghav Gaiha & Woojin Kang & Samuel Annim & Ganesh Thapa, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1226, Economics, The University of Manchester.
    3. Indranil Dutta & Shruti Kapoor & Prasanta K. Pattanaik, 2019. "Nutrient Consumption in India: Evidence from a Village Study," Economics Discussion Paper Series 1905, Economics, The University of Manchester.
    4. Raghbendra Jha & Katsushi S. Imai & Raghav Gaiha, 2014. "Poverty nutrition traps," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 10, pages 246-259, Edward Elgar Publishing.

    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. Raghbendra Jha & Katsushi S. Imai & Raghav Gaiha, 2014. "Poverty nutrition traps," Chapters, in: Raghbendra Jha & Raghav Gaiha & Anil B. Deolalikar (ed.), Handbook on Food, chapter 10, pages 246-259, Edward Elgar Publishing.
    2. Imai, Katsushi S. & Gaiha, Raghav & Thapa, Ganesh, 2015. "Does non-farm sector employment reduce rural poverty and vulnerability? Evidence from Vietnam and India," Journal of Asian Economics, Elsevier, vol. 36(C), pages 47-61.
    3. Jha, Raghbendra & Gaiha, Raghav & Sharma, Anurag, 2009. "Calorie and Micronutrient Deprivation and Poverty Nutrition Traps in Rural India," World Development, Elsevier, vol. 37(5), pages 982-991, May.
    4. Jha, Raghbendra & Gaiha, Raghav & Pandey, Manoj K., 2013. "Body Mass Index, participation, duration of work and earnings under the National Rural Employment Guarantee Scheme: Evidence from Rajasthan," Journal of Asian Economics, Elsevier, vol. 26(C), pages 14-30.
    5. Katsushi S. Imai & Raghav Gaiha & Woojin Kang & Samuel Annim & Ganesh Thapa, 2012. "Does Risk Matter? A Semi-parametric Model for Educational Choices in the Presence of Uncertainty," Economics Discussion Paper Series 1226, Economics, The University of Manchester.
    6. Jing You & Katsushi S. Imai & Raghav Gaiha, 2014. "Decoding the Growth-Nutrition Nexus in China: Inequality, Uncertainty and Food Insecurity," Discussion Paper Series DP2014-28, Research Institute for Economics & Business Administration, Kobe University, revised Dec 2014.
    7. Raghbendra Jha & Raghav Gaiha & Anurag Sharma, 2005. "Poverty Nutrition Trap in Rural India," Departmental Working Papers 2005-02, The Australian National University, Arndt-Corden Department of Economics.
    8. Jha, Raghbendra & Bhattacharyya, Sambit & Gaiha, Raghav, 2011. "Social safety nets and nutrient deprivation: An analysis of the National Rural Employment Guarantee Program and the Public Distribution System in India," Journal of Asian Economics, Elsevier, vol. 22(2), pages 189-201, April.
    9. Raghbendra Jha & Raghav Gaiha & Anurag Sharma, 2006. "Calorie Deprivation and Poverty Nutrition Trap in Rural India," ASARC Working Papers 2006-02, The Australian National University, Australia South Asia Research Centre.
    10. Guaracyane Lima Campelo & João Mário Santos De França & Emerson Luís Lemos Marinho, 2016. "Impacts Of Malnutrition On Labor Productivity: Empirical Evidences In Rural Brazil," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 236, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    11. Joël Hellier, 2012. "Working Poor Trajectories," Journal of Income Distribution, Ad libros publications inc., vol. 21(3-4), pages 83-102, November.
    12. Jing You & Sangui Wang & Laurence Roope, 2014. "Multi-dimensional Intertemporal Poverty in Rural China," CSAE Working Paper Series 2014-36, Centre for the Study of African Economies, University of Oxford.
    13. repec:eee:labchp:v:3:y:1999:i:pb:p:2859-2939 is not listed on IDEAS
    14. Namrata Singha Roy, 2020. "Wage Rate: Is this Return to Education or Return to Physical Capability? Evidence from Rural India," The Indian Journal of Labour Economics, Springer;The Indian Society of Labour Economics (ISLE), vol. 63(1), pages 99-117, March.
    15. Carl-Johan Dalgaard & Holger Strulik, 2011. "A physiological foundation for the nutrition-based efficiency wage model," Oxford Economic Papers, Oxford University Press, vol. 63(2), pages 232-253, April.
    16. Konstantinos Chatzimichael & Margarita Genius & Vangelis Tzouvelekas, 2015. "Health-Damaging Inputs, Workers' Health Status and Productivity Measurement," Working Papers 1505, University of Crete, Department of Economics.
    17. Partha Dasgupta & Debraj Ray, 1987. "Adapting to Undernourishment: The Clinical Evidence and Its Implications," WIDER Working Paper Series wp-1987-010, World Institute for Development Economic Research (UNU-WIDER).
    18. Angus Deaton, 2003. "Health, Inequality, and Economic Development," Journal of Economic Literature, American Economic Association, vol. 41(1), pages 113-158, March.
    19. Kaushal, Kaushalendra Kumar, 2014. "Pathway from nutrition intake to wage among elementary workers in India," MPRA Paper 56652, University Library of Munich, Germany.
    20. Seema Jayachandran, 2006. "Selling Labor Low: Wage Responses to Productivity Shocks in Developing Countries," Journal of Political Economy, University of Chicago Press, vol. 114(3), pages 538-575, June.

    More about this item

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

    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:man:sespap:1411. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: . General contact details of provider: https://edirc.repec.org/data/semanuk.html .

    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: Marianne Sensier (email available below). General contact details of provider: https://edirc.repec.org/data/semanuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.