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The fight against corruption at global level. A metric approach

Author

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  • Laureti, Lucio
  • Costantiello, Alberto
  • Leogrande, Angelo

Abstract

In this article we estimate the level of Control of Corruption for 193 countries in the period 2011-2020 using data from the ESG World Bank Database. Various econometric techniques are applied i.e.: Panel Data with Random Effects, Panel Data with Fixed Effects, Pooled OLS, WLS. Results show that “Control of Corruption” is positively associated, among others, to “Government Effectiveness” and “Political Stability and Absence of Violence/Terrorism”, while it is negatively associated among others to “Agriculture, Forestry, and Fishing Value Added as Percentage of GDP” and “GHG Net Emissions/Removals by LUCF”. A cluster analysis implemented with the k-Means algorithm optimized with the Elbow Method shows four clusters. A confrontation among eight Machine Learning algorithms is proposed for the prediction of Control of Corruption. Polynomial Regression is the best predictor for the training data. The level of Control of Corruption is expected to growth by 10.36% on average.

Suggested Citation

  • Laureti, Lucio & Costantiello, Alberto & Leogrande, Angelo, 2022. "The fight against corruption at global level. A metric approach," MPRA Paper 115837, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:115837
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    1. Christopher J. Boudreaux & Boris N. Nikolaev & Randall G. Holcombe, 2018. "Corruption and destructive entrepreneurship," Small Business Economics, Springer, vol. 51(1), pages 181-202, June.
    2. Bermpei, Theodora & Kalyvas, Antonios & Nguyen, Thanh Cong, 2018. "Does institutional quality condition the effect of bank regulations and supervision on bank stability? Evidence from emerging and developing economies," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 255-275.
    3. Gründler, Klaus & Potrafke, Niklas, 2019. "Corruption and economic growth: New empirical evidence," European Journal of Political Economy, Elsevier, vol. 60(C).
    4. Farzanegan, Mohammad Reza & Witthuhn, Stefan, 2017. "Corruption and political stability: Does the youth bulge matter?," European Journal of Political Economy, Elsevier, vol. 49(C), pages 47-70.
    5. Cieślik, Andrzej & Goczek, Łukasz, 2018. "Control of corruption, international investment, and economic growth – Evidence from panel data," World Development, Elsevier, vol. 103(C), pages 323-335.
    6. Saha, Shrabani & Ben Ali, Mohamed Sami, 2017. "Corruption and Economic Development: New Evidence from the Middle Eastern and North African Countries," Economic Analysis and Policy, Elsevier, vol. 54(C), pages 83-95.
    7. Thakur, Bhanu Pratap Singh & Kannadhasan, M., 2019. "Corruption and cash holdings: Evidence from emerging market economies," Emerging Markets Review, Elsevier, vol. 38(C), pages 1-17.
    8. John Bosco Nnyanzi & John Bbale & Richard Sendi, 2018. "Financial Development and Tax Revenue: How Catalytic Are Political Development and Corruption?," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 10(8), pages 1-92, August.
    9. Ahmed Rufai Mohammad & Mohamad Helmi Bin Hidthiir & Alias Bin Mat Nor, 2019. "Impact of Corruption on Banking Sector Stability: Evidence from Middle East and North African Countries," Academic Journal of Economic Studies, Faculty of Finance, Banking and Accountancy Bucharest,"Dimitrie Cantemir" Christian University Bucharest, vol. 5(2), pages 125-132, June.
    10. Mohammad Reza Farzanegan, 2020. "Cognitive ability and corruption: rule of law (still) matters," Empirical Economics, Springer, vol. 59(4), pages 1723-1743, October.
    11. Andrzej Cieślik & Łukasz Goczek, 2018. "Initial conditions and privatisation as causes of post-communist corruption," Post-Communist Economies, Taylor & Francis Journals, vol. 30(1), pages 36-55, January.
    12. Ullah, Barkat, 2020. "Financial constraints, corruption, and SME growth in transition economies," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 120-132.
    13. Ogunniyi, Adebayo Isaiah & Mavrotas, George & Olagunju, Kehinde Oluseyi & Fadare, Olusegun & Adedoyin, Rufai, 2020. "Governance quality, remittances and their implications for food and nutrition security in Sub-Saharan Africa," World Development, Elsevier, vol. 127(C).
    14. Bahoo, Salman & Alon, Ilan & Paltrinieri, Andrea, 2020. "Corruption in international business: A review and research agenda," International Business Review, Elsevier, vol. 29(4).
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    Cited by:

    1. Costantiello, Alberto & Leogrande, Angelo, 2023. "The Determinants of CO2 Emissions in the Context of ESG Models at World Level," MPRA Paper 117110, University Library of Munich, Germany.
    2. Costantiello, Alberto & Leogrande, Angelo, 2023. "The Role Of Gdp Growth In The Esg Approach At World Level," SocArXiv r56hu, Center for Open Science.

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    More about this item

    Keywords

    D7; D70; D72; D73; D78.;
    All these keywords.

    JEL classification:

    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation

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