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THE INVESTIGATION OF RELATIONSHIP BETWEEN CORRUPTION PERCEPTION INDEX AND GDP IN THE CASE OF THE BALKANS

Year 2020, , 910 - 923, 31.12.2020
https://doi.org/10.17130/ijmeb.853535

Abstract

One of the issues considered important by investors is the concept of security. Investors want
to continue their commercial activities in areas, where protection of rights, risks can be predicted, and
profitability is high. It is thought that in the regions, where these elements were determined, commercial
activities widen and they positively affect GDP of the invested country. Depending on this forecast,
the relationship between the annual data of Corruption Perception Index, prepared by Transparency
International, and the GDP data of the Balkan countries will be investigated.In this Study, panel causality
analysis of Balkan countries will be made by using the annual GDP, foreign direct investments, and
Corruption Perception Index data for 2008-2016 and the results obtained will be discussed.

References

  • Ackerman, S. R. (1999). Corruption and government, causes, consequences, and reform. Cambridge: Cambridge University Press.
  • Andving, J., Fjeldstad, O., & Sissener, T. (2000). Research on corruption: a policy oriented survey. Final Repor. December. Oslo: Commissioned by NORAD.
  • Gülmez, A. (2015). OECD ülkelerinde ekonomik büyüme ve hava kirliliği ilişkisi: panel veri analizi. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(3), ss. 18-30.
  • Gillanders, R., & Neselevska, O. (2018). Public sector corruption and trust in the private sector. Journal of International Development(30), ss. 1288-1317.
  • Gurgur, T., & Shah, A. (2014). Localization and corruption : panacea or pandora’s box? Annals of economics and finance, Society for AEF, May, 15(1), ss. 109-136.
  • Lučić, D., Radišić, M., & Dušan, D. (2016). Causality between corruption and the level of gdp. Economic Research-Ekonomska Istraživanja, 29 (1), ss. 360–379.
  • Kao, C., & Chiang, M.H. (1998). On the estimation and Inference of a cointegrated regression in panel data. Working Paper, Center for Policy Research, Syracuse University.
  • Koçak, E., & Nisfet, U. (2018). Demokrasi, ekonomik özgürlükler ve ekonomik büyüme: kurumların rolü üzerine bir araştırma. Sosyoekonomi, 26(36), ss. 81-102.
  • Kök, R. ve Şimşek, N., (2006). Endüstri-İçi Dış Ticaret, Patentler ve Uluslar Arası Teknolojik Yayılma. UEK TEK Uluslararası Ekonomi Konferansı, Ankara 11-13 Eylül.
  • Kök, Recep, M.Serdar İSPİR ve A.Aydır ARI (2010). Zengin Ülkelerden Azgelişmiş Ülkelere Kaynak Aktarma mekanizmasının Gerekliliği ve Evrensel Bölüşüm Parametresi üzerine Bir İnceleme. Uluslararası Ekonomi Konferansı, Türkiye Ekonomi Kurumu, Girne 1-3 Eylül.
  • Mani, M., Fredriksson, P., & Richard, D. (2004). The persistence of corruption and regulatory compliance failures: theory and evidence. Public Choice. December121(3-4), 363-390.
  • Mark, N.C., & Sul, D (2003). Co integration vector estimation by panel dols and long-run money demand. Oxford Bulletin of Economics and Statistics, 65(5), ss. 655-680.
  • Mustapha, N. (2014). The impact of corruption on gdp per capita. Journal Of Eastern European And Central Asian Research, 1(2), ss. 1-5.
  • Nazlıoğlu, Ş. (2010). Makro iktisat politikalarının tarım sektörü üzerindeki etkileri: gelişmiş ve gelişmekte olan ülkeler için bir karşılaştırma. Institute of social sciences of Erciyes University , Economy. Unpublished Phd Thesis, Kayseri.
  • Paldam, M. (2001). Corruption and religion adding to the economic model. Kyklos International Review For Social Sciences, 54(2/3), ss. 383-414.
  • Paldam, M. (2002). The cross-country pattern of corruption: economics, culture and the seesaw dynamics. European Journal of Political Economy, 18(2), ss. 215-240.
  • Pedroni, P. (2000). Fully modified ols for heterogeneous cointegrated panels. Advances In Econometrics, (15)ss. 93-130.
  • Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review Of Economics and statistics, 83(4), ss. 727-731.
  • Rose, R., & Mishler, W. (2010). Experience versus perception of corruption: russia as a test case. Global Crime, 11(2), ss. 145-163.
  • Sören, H., & Rothstein, B. (2011). Correlates of corruption. The Quality Of Goverment Institute. Gotenburg: University of Gothenburg.
  • Stapenhurst, R. (2000). The media’s role in curbing corruption, Washington, Dc 20433, Usa.: World Bank Institute (Wbi).
  • Tanzi, V., & Davoodi, H. (2000). Corruption, growth and public finances. IMF Working Paper, Nowember, IMF.
  • Thach, N., Duong, M., & Oanh, T. (2017). Effects of corruption on economic growth - empirical study of asia countries. Imperial Journal Of Interdisciplinary Research (Ijir), 3(7), 791-804.
  • Uğur, N., & Dasgupta, M. (2011). Evidence on the economic growth impacts of corruption in lowincome countries and beyond: a systematic review. London: Eppi-Centre. Social Science Research Unit, Institute Of Education, University Of London.
  • Ulman, S.R. (2014). Different levels of corruption influence on the main components of the macroeconomic environment. Procedia Economics And Finance(16), 438-447.
  • Vasileva, V. (2017). The place of balkan countries in world tourism. International Scientific Refereed Online Journal With Impact Factor , January, (29), 33-43.
  • Vito , T. (1998). Corruption around the world: causes, consequences, scope, and cures. www.Transperency .Org./Cpi. Date accessed (01/03/2019)
Year 2020, , 910 - 923, 31.12.2020
https://doi.org/10.17130/ijmeb.853535

Abstract

References

  • Ackerman, S. R. (1999). Corruption and government, causes, consequences, and reform. Cambridge: Cambridge University Press.
  • Andving, J., Fjeldstad, O., & Sissener, T. (2000). Research on corruption: a policy oriented survey. Final Repor. December. Oslo: Commissioned by NORAD.
  • Gülmez, A. (2015). OECD ülkelerinde ekonomik büyüme ve hava kirliliği ilişkisi: panel veri analizi. Kastamonu Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 9(3), ss. 18-30.
  • Gillanders, R., & Neselevska, O. (2018). Public sector corruption and trust in the private sector. Journal of International Development(30), ss. 1288-1317.
  • Gurgur, T., & Shah, A. (2014). Localization and corruption : panacea or pandora’s box? Annals of economics and finance, Society for AEF, May, 15(1), ss. 109-136.
  • Lučić, D., Radišić, M., & Dušan, D. (2016). Causality between corruption and the level of gdp. Economic Research-Ekonomska Istraživanja, 29 (1), ss. 360–379.
  • Kao, C., & Chiang, M.H. (1998). On the estimation and Inference of a cointegrated regression in panel data. Working Paper, Center for Policy Research, Syracuse University.
  • Koçak, E., & Nisfet, U. (2018). Demokrasi, ekonomik özgürlükler ve ekonomik büyüme: kurumların rolü üzerine bir araştırma. Sosyoekonomi, 26(36), ss. 81-102.
  • Kök, R. ve Şimşek, N., (2006). Endüstri-İçi Dış Ticaret, Patentler ve Uluslar Arası Teknolojik Yayılma. UEK TEK Uluslararası Ekonomi Konferansı, Ankara 11-13 Eylül.
  • Kök, Recep, M.Serdar İSPİR ve A.Aydır ARI (2010). Zengin Ülkelerden Azgelişmiş Ülkelere Kaynak Aktarma mekanizmasının Gerekliliği ve Evrensel Bölüşüm Parametresi üzerine Bir İnceleme. Uluslararası Ekonomi Konferansı, Türkiye Ekonomi Kurumu, Girne 1-3 Eylül.
  • Mani, M., Fredriksson, P., & Richard, D. (2004). The persistence of corruption and regulatory compliance failures: theory and evidence. Public Choice. December121(3-4), 363-390.
  • Mark, N.C., & Sul, D (2003). Co integration vector estimation by panel dols and long-run money demand. Oxford Bulletin of Economics and Statistics, 65(5), ss. 655-680.
  • Mustapha, N. (2014). The impact of corruption on gdp per capita. Journal Of Eastern European And Central Asian Research, 1(2), ss. 1-5.
  • Nazlıoğlu, Ş. (2010). Makro iktisat politikalarının tarım sektörü üzerindeki etkileri: gelişmiş ve gelişmekte olan ülkeler için bir karşılaştırma. Institute of social sciences of Erciyes University , Economy. Unpublished Phd Thesis, Kayseri.
  • Paldam, M. (2001). Corruption and religion adding to the economic model. Kyklos International Review For Social Sciences, 54(2/3), ss. 383-414.
  • Paldam, M. (2002). The cross-country pattern of corruption: economics, culture and the seesaw dynamics. European Journal of Political Economy, 18(2), ss. 215-240.
  • Pedroni, P. (2000). Fully modified ols for heterogeneous cointegrated panels. Advances In Econometrics, (15)ss. 93-130.
  • Pedroni, P. (2001). Purchasing power parity tests in cointegrated panels. Review Of Economics and statistics, 83(4), ss. 727-731.
  • Rose, R., & Mishler, W. (2010). Experience versus perception of corruption: russia as a test case. Global Crime, 11(2), ss. 145-163.
  • Sören, H., & Rothstein, B. (2011). Correlates of corruption. The Quality Of Goverment Institute. Gotenburg: University of Gothenburg.
  • Stapenhurst, R. (2000). The media’s role in curbing corruption, Washington, Dc 20433, Usa.: World Bank Institute (Wbi).
  • Tanzi, V., & Davoodi, H. (2000). Corruption, growth and public finances. IMF Working Paper, Nowember, IMF.
  • Thach, N., Duong, M., & Oanh, T. (2017). Effects of corruption on economic growth - empirical study of asia countries. Imperial Journal Of Interdisciplinary Research (Ijir), 3(7), 791-804.
  • Uğur, N., & Dasgupta, M. (2011). Evidence on the economic growth impacts of corruption in lowincome countries and beyond: a systematic review. London: Eppi-Centre. Social Science Research Unit, Institute Of Education, University Of London.
  • Ulman, S.R. (2014). Different levels of corruption influence on the main components of the macroeconomic environment. Procedia Economics And Finance(16), 438-447.
  • Vasileva, V. (2017). The place of balkan countries in world tourism. International Scientific Refereed Online Journal With Impact Factor , January, (29), 33-43.
  • Vito , T. (1998). Corruption around the world: causes, consequences, scope, and cures. www.Transperency .Org./Cpi. Date accessed (01/03/2019)
There are 27 citations in total.

Details

Primary Language English
Journal Section Research Articles
Authors

İbrahim Emre Göktürk This is me 0000-0003-2881-1684

Hüseyin Serdar Yalçınkaya This is me 0000-0002-5064-5144

Publication Date December 31, 2020
Submission Date November 21, 2019
Acceptance Date October 20, 2020
Published in Issue Year 2020

Cite

APA Göktürk, İ. E., & Yalçınkaya, H. S. (2020). THE INVESTIGATION OF RELATIONSHIP BETWEEN CORRUPTION PERCEPTION INDEX AND GDP IN THE CASE OF THE BALKANS. Uluslararası Yönetim İktisat Ve İşletme Dergisi, 16(4), 910-923. https://doi.org/10.17130/ijmeb.853535