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Targeting Accuracy of the NREG: Evidence from Madhya Pradesh and Tamil Nadu

Author

Listed:
  • Raghbendra Jha

    (Australian National University, Canberra, Australia)

  • Raghav Gaiha

    (Australian National University and MIT, Cambridge, MA)

  • Shylashri Shankar

    (Centre for Policy Research, New Delhi, India)

  • Manoj K Pandey

    (Australian National University, Canberra, Australia)

Abstract

Cet article s’intéresse à la précision du ciblage du NREG (Programme National de Garantie de l’Emploi Rural) dans deux États indiens, le Madhya Pradesh (MP) et le Tamil Nadu (TN), et s’appuie, pour le faire, sur des données de 2009–2010 sur les ménages. Pour surmonter les difficultés associées à l’utilisation d’un seuil de pauvreté spécifique, nous effectuons des tests de dominance stochastique. L’État de MP s’avère effectuer des ciblages plus précis que l’État du TN, en termes des indices FGT de pauvreté, et ceci pour un large éventail de seuils de pauvreté. Ce constat est important car la proportion de pauvres est deux fois plus élevée dans l’État du MP que dans celui du TN. Il remet en question l’idée dominante selon laquelle l’insuffisance de création d’emplois, dans le cadre du NREG, est plus forte dans les états les plus pauvres. Les taux de salaires élevés (relatifs aux salaires agricoles) offerts dans le cadre du NREG ont entravé l’auto-sélection des pauvres et le nombre de ménages (relativement) plus aisés a fortement augmenté. Les prestations de transfert sous la forme de revenus supplémentaires pour les pauvres étaient peu élevées en raison, essentiellement, des brèves périodes de travail et des salaires journaliers inférieurs au salaire minimum.

Suggested Citation

  • Raghbendra Jha & Raghav Gaiha & Shylashri Shankar & Manoj K Pandey, 2013. "Targeting Accuracy of the NREG: Evidence from Madhya Pradesh and Tamil Nadu," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 25(5), pages 758-777, December.
    • Handle: RePEc:pal:eurjdr:v:25:y:2013:i:5:p:758-777
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    References listed on IDEAS

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    1. Raghav Gaiha & Vani Kulkarni & Manoj Pandey & Katsushi Imai, 2009. "National rural employment guarantee scheme, poverty and prices in rural India," Economics Discussion Paper Series 0908, Economics, The University of Manchester.
    2. Galasso, Emanuela & Ravallion, Martin, 2005. "Decentralized targeting of an antipoverty program," Journal of Public Economics, Elsevier, vol. 89(4), pages 705-727, April.
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    1. Sagarika Dey, 2017. "Assessing the Poverty Impact of India’s Largest Livelihood Security Programme: A Study Based on 68th Round of NSSO," Journal of Development Policy and Practice, , vol. 2(1), pages 56-70, January.
    2. Chau, Nancy H. & Liu, Yanyan & Soundararajan, Vidhya, 2021. "Political activism as a determinant of strategic transfers: Evidence from an indian public works program," European Economic Review, Elsevier, vol. 132(C).
    3. Das, Upasak, 2015. "Does Political Activism and Affiliation Affect Allocation of Benefits in the Rural Employment Guarantee Program: Evidence from West Bengal, India," World Development, Elsevier, vol. 67(C), pages 202-217.
    4. Tandel, Vaidehi & Hiranandani, Komal & Kapoor, Mudit, 2019. "What’s in a definition? A study on the suitability of the current urban definition in India through its employment guarantee programme," Journal of Asian Economics, Elsevier, vol. 60(C), pages 69-84.

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    More about this item

    JEL classification:

    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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