IDEAS home Printed from https://ideas.repec.org/a/spr/jknowl/v11y2020i2d10.1007_s13132-018-0571-8.html
   My bibliography  Save this article

The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis

Author

Listed:
  • Sekrafi Habib

    (EPI-Ma Business School of Sousse)

  • Snoussi Abdelmonen

    (Higher Institute Management of Tunis)

  • Mili Khaled

    (Higher Institute of Management of Sousse)

Abstract

The impact of corruption on environment quality is a challenge for both developed and developing countries. Using the panel quantile regression approach and the generalized method of moments (GMM), this paper examines the linkers between corruption and CO2 emissions in African countries. Empirical results show that the corruption level is high for all African economies. Also, the effect of corruption on CO2 emissions is negative in lower emissions countries. But, this effect becomes insignificant for higher emissions countries. However, its indirect effect on CO2 emissions is positive. But, the positive effect of corruption on environment quality dominates the negative effect. The end result is a total positive effect, i.e., African countries suffer from higher level of corruptability which eventually causes many serious ecological problems.

Suggested Citation

  • Sekrafi Habib & Snoussi Abdelmonen & Mili Khaled, 2020. "The Effect of Corruption on the Environmental Quality in African Countries: a Panel Quantile Regression Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 11(2), pages 788-804, June.
  • Handle: RePEc:spr:jknowl:v:11:y:2020:i:2:d:10.1007_s13132-018-0571-8
    DOI: 10.1007/s13132-018-0571-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13132-018-0571-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s13132-018-0571-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daniel Kaufmann & Aart Kraay, 2008. "Governance Indicators: Where Are We, Where Should We Be Going?," The World Bank Research Observer, World Bank, vol. 23(1), pages 1-30, January.
    2. Zhang, Yue-Jun & Da, Ya-Bin, 2015. "The decomposition of energy-related carbon emission and its decoupling with economic growth in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1255-1266.
    3. Apergis, Nicholas & Payne, James E., 2009. "CO2 emissions, energy usage, and output in Central America," Energy Policy, Elsevier, vol. 37(8), pages 3282-3286, August.
    4. Esso, Loesse Jacques & Keho, Yaya, 2016. "Energy consumption, economic growth and carbon emissions: Cointegration and causality evidence from selected African countries," Energy, Elsevier, vol. 114(C), pages 492-497.
    5. Huang, Chiung-Ju, 2016. "Is corruption bad for economic growth? Evidence from Asia-Pacific countries," The North American Journal of Economics and Finance, Elsevier, vol. 35(C), pages 247-256.
    6. Paunov, Caroline, 2016. "Corruption's asymmetric impacts on firm innovation," Journal of Development Economics, Elsevier, vol. 118(C), pages 216-231.
    7. Cooray, Arusha & Dzhumashev, Ratbek & Schneider, Friedrich, 2017. "How Does Corruption Affect Public Debt? An Empirical Analysis," World Development, Elsevier, vol. 90(C), pages 115-127.
    8. Damette, Olivier & Delacote, Philippe, 2012. "On the economic factors of deforestation: What can we learn from quantile analysis?," Economic Modelling, Elsevier, vol. 29(6), pages 2427-2434.
    9. Cole, Matthew A., 2007. "Corruption, income and the environment: An empirical analysis," Ecological Economics, Elsevier, vol. 62(3-4), pages 637-647, May.
    10. Biswas, Amit K. & Farzanegan, Mohammad Reza & Thum, Marcel, 2012. "Pollution, shadow economy and corruption: Theory and evidence," Ecological Economics, Elsevier, vol. 75(C), pages 114-125.
    11. Katariina Nilsson Hakkala & Pehr-Johan Norbäck & Helena Svaleryd, 2008. "Asymmetric Effects of Corruption on FDI: Evidence from Swedish Multinational Firms," The Review of Economics and Statistics, MIT Press, vol. 90(4), pages 627-642, November.
    12. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    13. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.
    14. Alam, M. Shahid, 2006. "Economic Growth with Energy," MPRA Paper 1260, University Library of Munich, Germany.
    15. Sotirios Bellos & Turan Subasat, 2012. "Governance and foreign direct investment: a panel gravity model approach," International Review of Applied Economics, Taylor & Francis Journals, vol. 26(3), pages 303-328, April.
    16. Mohamed Arouri & Muhammad Shahbaz & Rattapon Onchang & Faridul Islam & Frédéric Teulon, 2014. "Environmental Kuznets Curve in Thailand: Cointegration and Causality Analysis," Working Papers 2014-204, Department of Research, Ipag Business School.
    17. Lee, Jen-Sin & Huang, Gow-Liang & Kuo, Chin-Tai & Lee, Liang-Chien, 2012. "The momentum effect on Chinese real estate stocks: Evidence from firm performance levels," Economic Modelling, Elsevier, vol. 29(6), pages 2392-2406.
    18. Harry Seldadyo & Jakob De Haan, 2011. "Is Corruption Really Persistent?," Pacific Economic Review, Wiley Blackwell, vol. 16(2), pages 192-206, May.
    19. Baek, Jungho & Pride, Dominique, 2014. "On the income–nuclear energy–CO2 emissions nexus revisited," Energy Economics, Elsevier, vol. 43(C), pages 6-10.
    20. Fisman, Raymond & Svensson, Jakob, 2007. "Are corruption and taxation really harmful to growth? Firm level evidence," Journal of Development Economics, Elsevier, vol. 83(1), pages 63-75, May.
    21. Ang, James B., 2007. "CO2 emissions, energy consumption, and output in France," Energy Policy, Elsevier, vol. 35(10), pages 4772-4778, October.
    22. Sotirios Bellos & Turan Subasat, 2012. "Corruption And Foreign Direct Investment: A Panel Gravity Model Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 64(4), pages 565-574, October.
    23. Rock, Michael T. & Bonnett, Heidi, 2004. "The Comparative Politics of Corruption: Accounting for the East Asian Paradox in Empirical Studies of Corruption, Growth and Investment," World Development, Elsevier, vol. 32(6), pages 999-1017, June.
    24. Arvind K. Jain, 2001. "Corruption: A Review," Journal of Economic Surveys, Wiley Blackwell, vol. 15(1), pages 71-121, February.
    25. Friedrich Schneider & Andreas Buehn & Claudio E. Montenegro, 2011. "Shadow Economies All Over the World: New Estimates for 162 Countries from 1999 to 2007," Chapters, in: Friedrich Schneider (ed.), Handbook on the Shadow Economy, chapter 1, Edward Elgar Publishing.
    26. Chimeli, Ariaster B. & Braden, John B., 2005. "Total factor productivity and the environmental Kuznets curve," Journal of Environmental Economics and Management, Elsevier, vol. 49(2), pages 366-380, March.
    27. Christopher J. Anderson & Yuliya V. Tverdova, 2003. "Corruption, Political Allegiances, and Attitudes Toward Government in Contemporary Democracies," American Journal of Political Science, John Wiley & Sons, vol. 47(1), pages 91-109, January.
    28. Al-Mulali, Usama & Saboori, Behnaz & Ozturk, Ilhan, 2015. "Investigating the environmental Kuznets curve hypothesis in Vietnam," Energy Policy, Elsevier, vol. 76(C), pages 123-131.
    29. Friedrich Schneider & Andreas Buehn & Claudio Montenegro, 2010. "New Estimates for the Shadow Economies all over the World," International Economic Journal, Taylor & Francis Journals, vol. 24(4), pages 443-461.
    30. Fredriksson, Per G. & Vollebergh, Herman R. J. & Dijkgraaf, Elbert, 2004. "Corruption and energy efficiency in OECD countries: theory and evidence," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 207-231, March.
    31. Grooms, Katherine K., 2015. "Enforcing the Clean Water Act: The effect of state-level corruption on compliance," Journal of Environmental Economics and Management, Elsevier, vol. 73(C), pages 50-78.
    32. Muhammad, Shahbaz & Adebola Solarin, Solarin & Ozturk, Ilhan, 2016. "Environmental Kuznets curve hypothesis and the role of globalization in selected African countries," MPRA Paper 69859, University Library of Munich, Germany, revised 04 Mar 2016.
    33. Lamarche, Carlos, 2011. "Measuring the incentives to learn in Colombia using new quantile regression approaches," Journal of Development Economics, Elsevier, vol. 96(2), pages 278-288, November.
    34. 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.
    35. Lopez, Ramon & Mitra, Siddhartha, 2000. "Corruption, Pollution, and the Kuznets Environment Curve," Journal of Environmental Economics and Management, Elsevier, vol. 40(2), pages 137-150, September.
    36. Paolo Mauro, 1995. "Corruption and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 681-712.
    37. Saboori, Behnaz & Sulaiman, Jamalludin & Mohd, Saidatulakmal, 2012. "Economic growth and CO2 emissions in Malaysia: A cointegration analysis of the Environmental Kuznets Curve," Energy Policy, Elsevier, vol. 51(C), pages 184-191.
    38. Kanjilal, Kakali & Ghosh, Sajal, 2013. "Environmental Kuznet’s curve for India: Evidence from tests for cointegration with unknown structuralbreaks," Energy Policy, Elsevier, vol. 56(C), pages 509-515.
    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. Mirzat Ullah & Hafiz M. Sohail & Muhammad Asif Khan & Hassan Zada & Maria Kovacova & Judit Olah, 2023. "Nexus between Economic Growth and CO2 Emission within the Preview of Institutional Quality: Some New Insights from," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 849-849, August.
    2. Temitayo B. Majekodunmi & Mohd Shahidan Shaari & Nor Fadzilah Zainal & Nor Hidayah Harun & Abdul Rahim Ridzuan & Noorazeela Zainol Abidin & Nur Hayati Abd Rahman, 2023. "Gas Consumption as a Key for Low Carbon State and its Impact on Economic Growth in Malaysia: ARDL Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(3), pages 469-477, May.
    3. Amoah, Anthony & Asiama, Rexford Kweku & Korle, Kofi & Kwablah, Edmund, 2022. "Corruption: Is it a bane to renewable energy consumption in Africa?," Energy Policy, Elsevier, vol. 163(C).
    4. James Danowski & Aaron van Klyton & Tai-Quan Winson Peng & Siyuan Ma & Raphaël Nkakleu & Altante Désirée Biboum, 2023. "Information and communications technology development, interorganizational networks, and public sector corruption in Africa," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(4), pages 3285-3304, August.

    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. Zhang, Yue-Jun & Jin, Yan-Lin & Chevallier, Julien & Shen, Bo, 2016. "The effect of corruption on carbon dioxide emissions in APEC countries: A panel quantile regression analysis," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 220-227.
    2. Ren, Yi-Shuai & Ma, Chao-Qun & Apergis, Nicholas & Sharp, Basil, 2021. "Responses of carbon emissions to corruption across Chinese provinces," Energy Economics, Elsevier, vol. 98(C).
    3. Arminen, Heli & Menegaki, Angeliki N., 2019. "Corruption, climate and the energy-environment-growth nexus," Energy Economics, Elsevier, vol. 80(C), pages 621-634.
    4. Hbib Sekrafi & Asma Sghaier, 2018. "Examining the Relationship Between Corruption, Economic Growth, Environmental Degradation, and Energy Consumption: a Panel Analysis in MENA Region," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 9(3), pages 963-979, September.
    5. Boying Li & Yu Hao & Chun-Ping Chang, 2018. "Does an anticorruption campaign deteriorate environmental quality? Evidence from China," Energy & Environment, , vol. 29(1), pages 67-94, February.
    6. Di Guardo, Maria Chiara & Marrocu, Emanuela & Paci, Raffaele, 2016. "The effect of local corruption on ownership strategy in cross-border mergers and acquisitions," Journal of Business Research, Elsevier, vol. 69(10), pages 4225-4241.
    7. Muhammad Shahbaz & Avik Sinha, 2019. "Environmental Kuznets curve for CO2emissions: a literature survey," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(1), pages 106-168, January.
    8. Dincer, Oguzhan C. & Fredriksson, Per G., 2018. "Corruption and environmental regulatory policy in the United States: Does trust matter?," Resource and Energy Economics, Elsevier, vol. 54(C), pages 212-225.
    9. Chen, Wenhui & Lei, Yalin, 2018. "The impacts of renewable energy and technological innovation on environment-energy-growth nexus: New evidence from a panel quantile regression," Renewable Energy, Elsevier, vol. 123(C), pages 1-14.
    10. Madhu Sehrawat & Sanjay Kumar Singh, 2021. "Do Corruption and Income Inequality Play Spoilsport in The Energy Efficiency-Growth Relationship in BRICS Countries?," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 727-746, December.
    11. Wang, Zhaohua & Danish, & Zhang, Bin & Wang, Bo, 2018. "The moderating role of corruption between economic growth and CO2 emissions: Evidence from BRICS economies," Energy, Elsevier, vol. 148(C), pages 506-513.
    12. Petra Koudelkova & Wadim Strielkowski & Denisa Hejlova, 2015. "Corruption and System Change in the Czech Republic: Firm-level Evidence," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 1, pages 25-46, March.
    13. Shouro Dasgupta & Enrica De Cian, 2016. "Institutions and the Environment: Existing Evidence and Future Directions," Working Papers 2016.41, Fondazione Eni Enrico Mattei.
    14. Mansor H. Ibrahim & Siong Hook Law, 2016. "Institutional Quality and CO 2 Emission–Trade Relations: Evidence from Sub-Saharan Africa," South African Journal of Economics, Economic Society of South Africa, vol. 84(2), pages 323-340, June.
    15. Alexandra-Anca Purcel, 2019. "Does Political Stability Hinder Pollution? Evidence From Developing States," Economic Research Guardian, Weissberg Publishing, vol. 9(2), pages 75-98, December.
    16. Wu, Tao & Delios, Andrew & Chen, Zhaowei & Wang, Xin, 2023. "Rethinking corruption in international business: An empirical review," Journal of World Business, Elsevier, vol. 58(2).
    17. Jeong Hwan Bae & Dmitriy D. Li & Meenakshi Rishi, 2017. "Determinants of CO emission for post-Soviet Union independent countries," Climate Policy, Taylor & Francis Journals, vol. 17(5), pages 591-615, July.
    18. Bin Dong & Benno Torgler, 2010. "The Consequences of Corruption: Evidence from China," Working Papers 2010.73, Fondazione Eni Enrico Mattei.
    19. Shi Wang & Yizhou Yuan & Hua Wang, 2019. "Corruption, Hidden Economy and Environmental Pollution: A Spatial Econometric Analysis Based on China’s Provincial Panel Data," IJERPH, MDPI, vol. 16(16), pages 1-23, August.
    20. Zhou, Kuo & Luo, Haotian & Ye, Diyu & Tao, Yunqing, 2022. "The power of anti-corruption in environmental innovation: Evidence from a quasi-natural experiment in China," Technological Forecasting and Social Change, Elsevier, vol. 182(C).

    More about this item

    Keywords

    Corruption; Environmental quality; Quantile regressions; Africa;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • Q56 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Environment and Development; Environment and Trade; Sustainability; Environmental Accounts and Accounting; Environmental Equity; Population Growth
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

    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:spr:jknowl:v:11:y:2020:i:2:d:10.1007_s13132-018-0571-8. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.