IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/24871.html
   My bibliography  Save this paper

The Causal Relationship between Corruption and Poverty: A Panel Data Analysis

Author

Listed:
  • Negin, Vahideh
  • Abd Rashid, Zakariah
  • Nikopour, Hesam

Abstract

Most of the studies which have investigated the link between corruption and poverty may draw conclusions on causality in the form of models that only show correlation. This study is set out to investigate the Granger causal relationship between corruption and poverty. It uses dynamic panel system GMM estimators, focuses on capability poverty using human poverty index (HPI) and is based on a sample of 97 developing countries during 1997-2006. The empirical findings reveal that corruption and poverty go together, with bidirectional causality.

Suggested Citation

  • Negin, Vahideh & Abd Rashid, Zakariah & Nikopour, Hesam, 2010. "The Causal Relationship between Corruption and Poverty: A Panel Data Analysis," MPRA Paper 24871, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:24871
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/24871/1/MPRA_paper_24871.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ravallion, Martin, 2002. "On the urbanization of poverty," Journal of Development Economics, Elsevier, vol. 68(2), pages 435-442, August.
    2. Mr. Sanjeev Gupta, 1998. "Does Corruption Affect Income Inequality and Poverty?," IMF Working Papers 1998/076, International Monetary Fund.
    3. Swamy, Anand & Knack, Stephen & Lee, Young & Azfar, Omar, 2001. "Gender and corruption," Journal of Development Economics, Elsevier, vol. 64(1), pages 25-55, February.
    4. Bryan W Husted, 1999. "Wealth, Culture, and Corruption," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 30(2), pages 339-359, June.
    5. Arellano, Manuel, 2003. "Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780199245291.
    6. Léonce Ndikumana, 2006. "Corruption and Pro-Poor Growth Outcomes: Evidence and Lessons for African Countries," Working Papers wp120, Political Economy Research Institute, University of Massachusetts at Amherst.
    7. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, April.
    8. Krueger, Anne O, 1974. "The Political Economy of the Rent-Seeking Society," American Economic Review, American Economic Association, vol. 64(3), pages 291-303, June.
    9. Sanjeev Gupta & Hamid Davoodi & Rosa Alonso-Terme, 2002. "Does corruption affect income inequality and poverty?," Economics of Governance, Springer, vol. 3(1), pages 23-45, March.
    10. Vito Tanzi, 1998. "Corruption Around the World: Causes, Consequences, Scope, and Cures," IMF Staff Papers, Palgrave Macmillan, vol. 45(4), pages 559-594, December.
    11. Kaufmann, Daniel & Kraay, Aart & Zoido-Lobaton, Pablo, 1999. "Aggregating governance indicators," Policy Research Working Paper Series 2195, The World Bank.
    12. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
    13. Paldam, Martin, 2002. "The cross-country pattern of corruption: economics, culture and the seesaw dynamics," European Journal of Political Economy, Elsevier, vol. 18(2), pages 215-240, June.
    14. Mr. Vito Tanzi, 1998. "Corruption Around the World: Causes, Consequences, Scope, and Cures," IMF Working Papers 1998/063, International Monetary Fund.
    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. Purwantini Rahayu, Ina & Widodo, Tri, 2012. "The Causal Relationship between Corruption and Poverty in ASEAN: a General Method of Moments/Dynamic Panel Data Analysis," MPRA Paper 78328, University Library of Munich, Germany.
    2. Ben Hamouda, Abderrazek, 2018. "La qualité de gouvernance et le triangle croissance-inégalité-pauvreté [The relationship between growth-inequality-poverty triangle and governance]," MPRA Paper 92207, University Library of Munich, Germany.
    3. Mihai MUTASCU & Nicolae-Bogdan IANC & Albert LESSOUA, 2021. "Public debt and inequality in Sub-Saharan Africa: the case of EMCCA and WAEMU countries," LEO Working Papers / DR LEO 2911, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    4. Mustafa ÜNVER & Julide Yalçýnkaya KOYUNCU, 2016. "The Impact of Poverty on Corruption," Journal of Economics Library, KSP Journals, vol. 3(4), pages 632-642, December.
    5. Andreea-Simina Ardelean & Ionut-Constantin Cuceu & Viorela-Ligia Vaidean, 2023. "Poverty as a Determinant of Corruption – A Parametric Approach," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(2), pages 604-613, December.
    6. A. Enisan Akinlo, 2024. "Corruption and Misery Index in Nigeria: Is There a Link?," Journal of Interdisciplinary Economics, , vol. 36(1), pages 26-40, January.
    7. Ambar, Rabnawaz, 2015. "Corruption, Inequality and Economic Growth," MPRA Paper 70375, University Library of Munich, Germany, revised 2015.
    8. Schram, Arthur & Zheng, Jin Di & Zhuravleva, Tatyana, 2022. "Corruption: A cross-country comparison of contagion and conformism," Journal of Economic Behavior & Organization, Elsevier, vol. 193(C), pages 497-518.
    9. Kodila Tedika, Oasis, 2012. "Consequences De La Corruption : Panorama Empirique [Consequences of Corruption : Empirical survey]," MPRA Paper 41482, University Library of Munich, Germany.

    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. repec:pdn:wpaper:79 is not listed on IDEAS
    2. repec:pdn:wpaper:70 is not listed on IDEAS
    3. Eugen Dimant & Guglielmo Tosato, 2018. "Causes And Effects Of Corruption: What Has Past Decade'S Empirical Research Taught Us? A Survey," Journal of Economic Surveys, Wiley Blackwell, vol. 32(2), pages 335-356, April.
    4. Gabriel Caldas Montes & Paulo Henrique Luna, 2021. "Fiscal transparency, legal system and perception of the control on corruption: empirical evidence from panel data," Empirical Economics, Springer, vol. 60(4), pages 2005-2037, April.
    5. Rajul Awasthi & Nihal Bayraktar, 2015. "Can tax simplification help lower tax corruption?," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 5(2), pages 297-330, December.
    6. Zi Wen Vivien Wong & Fanyu Chen & Siong Hook Law & Normaz Wana Ismail, 2022. "The Effects Of Rent Seeking Activities On Economic Growth In Middle-Income Countries," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 25(2), pages 215-234, August.
    7. Krisztina Kis-Katos & Günther G. Schulze, 2013. "Corruption in Southeast Asia: a survey of recent research," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 27(1), pages 79-109, May.
    8. Richard Damania & Per Fredriksson & Muthukumara Mani, 2004. "The Persistence of Corruption and Regulatory Compliance Failures: Theory and Evidence," Public Choice, Springer, vol. 121(3), pages 363-390, February.
    9. Toke S. Aidt, 2016. "Rent seeking and the economics of corruption," Constitutional Political Economy, Springer, vol. 27(2), pages 142-157, June.
    10. repec:idn:journl:v:21:y:2019:i:3g:p:1-22 is not listed on IDEAS
    11. Michael Jetter & Christopher F. Parmeter, 2016. "Uncovering the determinants of corruption," Working Papers 2016-02, University of Miami, Department of Economics.
    12. Xiao-Bo Zhou & Wei Wei & Chyi-Lu Jang & Chun-Ping Chang, 2019. "The Impacts Of Government R&D Expenditure On Innovation In Chinese Provinces: What’S The Role Of Corruption," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 409-430, January.
    13. Nikopour, Hesam & Shah Habibullah, Muzafar, 2010. "Shadow Economy and Poverty," MPRA Paper 23599, University Library of Munich, Germany.
    14. Nicolas Jacquemet, 2005. "La corruption comme une imbrication de contrats : Une revue de la littérature microéconomique," Working Papers 2005-29, Center for Research in Economics and Statistics.
    15. Wolfgang Maennig, 2004. "Korruption im internationalen Sport: ökonomische Analyse und Lösungsansätze," Vierteljahrshefte zur Wirtschaftsforschung / Quarterly Journal of Economic Research, DIW Berlin, German Institute for Economic Research, vol. 73(2), pages 263-291.
    16. Keith Blackburn & Niloy Bose & M. Emranul Haque, 2011. "Public Expenditures, Bureaucratic Corruption And Economic Development," Manchester School, University of Manchester, vol. 79(3), pages 405-428, June.
    17. Roberta Gatti & Stefano Paternostro & Jamele Rigolini, 2003. "Individual attitudes toward corruption: do social effects matter?," Policy Research Working Paper Series 3122, The World Bank.
    18. Imtiaz Arif & Lubna Khan & Sundus Waqar, 2023. "Does Corruption Sand or Grease the Wheels? A Case of BRICS Countries," Global Business Review, International Management Institute, vol. 24(6), pages 1468-1481, December.
    19. Antonis M. Koumpias & Jorge Martinez-Vazquez & Eduardo Sanz-Arcega, 2015. "Housing Bubbles and Zoning Corruption: Evidence from Greece and Spain," International Center for Public Policy Working Paper Series, at AYSPS, GSU paper1505, International Center for Public Policy, Andrew Young School of Policy Studies, Georgia State University.
    20. Blaise Gnimassoun, Joseph Keneck Massil, 2019. "Determinants of corruption: can we put all countries in the same basket?," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 16(2), pages 239-276, December.
    21. Yuriy Timofeyev, 2011. "How Corruption Affects Social Expenditures: Evidence From Russia," Global Journal of Business Research, The Institute for Business and Finance Research, vol. 5(4), pages 39-51.

    More about this item

    Keywords

    Corruption; Poverty; Panel Data Analysis;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I3 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    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:pra:mprapa:24871. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.