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The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index.

Economic growth, corruption, and financial development: Global evidence

Song, Chang-Qing, Chang, Chun-Ping, Gong, Qiang·2021·Economic Modelling

Abstract

Abstract Using panel cointegration and panel error correction models from 2002 to 2016, this paper investigates the relationship among corruption, economic growth and financial development in 142 countries in the long run. In order to make the conclusion more targeted, the samples are further divided into developed countries subsample and developing countries sub-sample. The results confirm that between GDP, COR and BM, a long-term cointegration relationship exist in the full sample and the sub-samples of developing countries. Moreover, in the full sample and in developing countries subsample, the panel FMOLS estimations indicate that economic growth has a positive effect to financial development, whereas corruption has a negative effect. The VECM shows the causal relationships exist between economic growth to financial development and corruption to financial development in the long run. But for developed countries the causalities are absent. The policy implication is that, for developing countries, boosting economic growth and can help promote financial development but curbing corruption has adverse effects on financial development. The policy effects are related to the prosperousness of different countries. Overall, developing countries can carry on policies to advance financial development through promoting economic growth and indulging corruption temporarily, while developed countries may have to find other channels.

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Research works printed but not linked: 18

  1. Agbetsiafa, 2004, The Finance growth nexus: evidence from Sub-Saharan Africa, Savings Dev., 28, 271
  2. Ahlin, 2008, Are financial development and corruption control substitutes in promoting growth?, J. Dev. Econ., 86, 414, 10.1016/j.jdeveco.2007.07.002 · DOI · Paper page
  3. Aziz, 2017, Nexus between Corruption and Economic Growth: ARDL Bounds Testing Approach, J. Appl. Finan. Econ. Pol., 1, 18
  4. Cecchetti, 2019, Why does credit growth crowd out real economic growth?, Natl. Bureau of Economic Res, 87, 1
  5. Huang, 2016, Is corruption bad for economic growth?Evidence from Asia-Pacific countries, N. Am. J. Econ. Finance, 35, 247, 10.1016/j.najef.2015.10.013 · doi:10.1016/j.najef.2015.10.013
  6. Huang, 2016, Is corruption bad for economic growth?Evidence from Asia-Pacific countries, North Am. J. Econ. Finan., 35, 247, 10.1016/j.najef.2015.10.013 · doi:10.1016/j.najef.2015.10.013
  7. Jahanzeb, 2017, Nexus between corruption and economic growth: ARDL bounds testing approach, J. Appl. Finance and Economic Policy, 1, 18
  8. Kane, 1993, What lessons should Japan learn from the US deposit-insurance mess?, J. Jpn. Int. Econ., 7, 329, 10.1006/jjie.1993.1021 · doi:10.1006/jjie.1993.1021
  9. Khemani, 1998, East asia’s economic crisis and competition policy, Global Compet. Rev., 16
  10. Law, 2014, Does too much finance harm economic growth?, J. Bank. Finan., 41, 36, 10.1016/j.jbankfin.2013.12.020 · DOI · Paper page
  11. Lee, 2006, Social security expenditure and GDP in OECD countries: A cointegrated panel analysis, Int. Econ. J., 20, 303, 10.1080/10168730600879372 · doi:10.1080/10168730600879372
  12. Long, 2015, Anti-corruption and investment growth, Econ. Res. J. Work. Paper
  13. MacFarlane, 2001, Corruption and the financial sector: the strategic impact, J. Financ. Crime, 9, 8, 10.1108/eb026002 · doi:10.1108/eb026002
  14. Mauro, 1995, Corruption and growth, Quart. J. Econ., 110, 681, 10.2307/2946696 · DOI · Paper page
  15. Odhiambo, 2010, Finance-investment-growth nexus in South Africa: an ARDL bounds testing approach, Econ. Change Restruct., 43, 205, 10.1007/s10644-010-9085-5 · DOI · Paper page
  16. Pradhan, 2009, The nexus between financial development and economic growth in India: evidence from multivariate VAR model, Int. J. Res. Rev. Appl. Sci., 1, 141
  17. Samargandi, 2016, Private credit spillovers and economic growth: Evidence from BRICS countries, J. Int. Finan. Mark. Inst. Money., 44, 56, 10.1016/j.intfin.2016.04.010 · DOI
  18. Wang, 2016, The impacts of anti-corruption on economic growth in China, Mod. Econ., 7, 109, 10.4236/me.2016.72013 · doi:10.4236/me.2016.72013

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Metadata

Authors
Song, C.-Q., Chang, C.-P., & Gong, Q.
Venue
Economic Modelling
Publisher
Elsevier BV
Published
2021-01
Volume
94
Pages
822-830
ISSN
0264-9993 (ISSN-L)
OpenAlex
W3008519155
Cited by
265
References
45
FWCI
54.53
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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CoChat. (2026). Citation check: Economic growth, corruption, and financial development: Global evidence. https://app.cochat.ai/papers/10.1016/j.econmod.2020.02.022
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Song, C.-Q., Chang, C.-P., & Gong, Q. (2021). Economic growth, corruption, and financial development: Global evidence. Economic Modelling. https://doi.org/10.1016/j.econmod.2020.02.022

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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