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Who wins in the Indian parliament election: Criminals, wealthy and incumbents?

Author

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  • P. Duraisamy

    (University of Madras)

  • Bruno Jérôme

    (Universite Panthéon-Assas (Paris II))

Abstract

The study examines the impact of criminal charges, wealth, incumbency status, and party affiliation of the candidates on their chances of winning and vote share in the Indian parliamentary election 2009 using candidate level information on 8070 contestants from 543 constituencies. The descriptive and econometric analyses of the data reveal that there is a strong association between wealth, criminal charges and incumbency status of the candidates and the electoral outcomes. Wealthy incumbent candidates had higher chances of winning the election, and these candidates also seem to be facing criminal charges. The incumbent candidates belonging to the state ruling party had higher chances of winning and increasing their vote share. Though criminal charges depress the chance of winning and vote share, the incumbency effects, particularly the party incumbency, has a bigger effect than criminality and wealth status.

Suggested Citation

  • P. Duraisamy & Bruno Jérôme, 2017. "Who wins in the Indian parliament election: Criminals, wealthy and incumbents?," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 19(2), pages 245-262, October.
    • Handle: RePEc:spr:jsecdv:v:19:y:2017:i:2:d:10.1007_s40847-017-0044-0
    DOI: 10.1007/s40847-017-0044-0
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    References listed on IDEAS

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    1. Aidt, T. & Golden, M. A. & Tiwari, D., 2011. "Incumbents and Criminals in the Indian National Legislature," Cambridge Working Papers in Economics 1157, Faculty of Economics, University of Cambridge.
    2. Yogesh Uppal, 2009. "The disadvantaged incumbents: estimating incumbency effects in Indian state legislatures," Public Choice, Springer, vol. 138(1), pages 9-27, January.
    3. Uppal, Yogesh, 2008. "Estimation of the Incumbency Effects in the US State Legislatures: A Quasi-Experimental Approach," MPRA Paper 8575, University Library of Munich, Germany.
    4. Lee, David S., 2008. "Randomized experiments from non-random selection in U.S. House elections," Journal of Econometrics, Elsevier, vol. 142(2), pages 675-697, February.
    5. Lemennicier, Bertrand & Katir-Lescieux, Honorine, 2010. "Testing the accuracy of the Downs' spatial voter model on forecasting the winners of the French parliamentary elections in May-June 2007," International Journal of Forecasting, Elsevier, vol. 26(1), pages 32-41, January.
    6. Matthieu Chemin, 2008. "Do Criminals Politicians Reduce Corruption? Evidence from India," Cahiers de recherche 0825, CIRPEE.
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    Cited by:

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    2. Saibal Ghosh, 2018. "An index of legislators’ performance: evidence from Indian parliamentary data," Journal of Social and Economic Development, Springer;Institute for Social and Economic Change, vol. 20(1), pages 129-151, April.
    3. Jain, Ritika, 2021. "Is R&D spending influenced by disinvestment and local political corruption? The case of Indian central public sector enterprises," Economic Systems, Elsevier, vol. 45(3).

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