EASE OF DOING BUSINESS IN EUROPEAN UNION COUNTRIES AND CANDIDATES

Öz

Doing business attracts the attention of policy makers as its economic impact. It’s now widely accepted the relationship between regulations and economic performance. By making regulations, countries want to attract domestic and foreign investors to their countries to invest and to facilitate doing business. The study's goal is to investigate whether EU membership has an impact on doing business. For this purpose, the Ease of Doing Business Index data used in the analysis phase were published from the World Bank. To investigate EU membership effect on doing business, MANOVA and discriminant analysis were conducted. MANOVA results show that, only getting electricity, getting credit and resolving insolvency factors differ according to EU membership status. Furthermore, the impact of membership status on the resolving insolvency factor is the highest. After MANOVA, discriminant analysis was conducted. The correct classification rate is 87.5%. Discriminant analysis results reveal that resolving insolvency, getting credit, getting electricity, and starting a business are the most effective factors on EU membership, respectively.

Anahtar Kelimeler

• EU Membership
• Ease of Doing Business
• Discriminant Analysis

AVRUPA BİRLİĞİ ÜYE VE ADAY ÜLKELERDE İŞ YAPMA KOLAYLIĞI

Öz

İş yapmak, ekonomik etkisi nedeniyle politika yapıcıların dikkatini çekmektedir. Düzenlemeler ve ekonomik performans arasındaki ilişki artık yaygın olarak kabul edilmektedir. Ülkeler düzenlemeler yaparak yerli ve yabancı yatırımcıları yatırım yapmak için ülkelerine çekmek ve iş yapmayı kolaylaştırmak istemektedir. Çalışmanın amacı, AB üyeliğinin iş yapma üzerinde bir etkisi olup olmadığını araştırmaktır. Bu amaçla analiz aşamasında kullanılan İş Yapma Kolaylığı Endeksi verileri Dünya Bankası'ndan elde edilmiştir. AB üyeliğinin iş yapma üzerindeki etkisini araştırmak için MANOVA ve diskriminant analizi yapılmıştır. MANOVA sonuçları, sadece elektriğe ulaşma, kredi alma ve iflasın çözülmesi faktörlerinin AB üyelik durumuna göre farklılık gösterdiğini ortaya koymaktadır. Ayrıca, üyelik durumunun iflasın çözülmesi faktörü üzerindeki etkisi en yüksektir. MANOVA'dan sonra diskriminant analizi yapılmıştır. Doğru sınıflandırma oranı %87,5'tir. Diskriminant analizi sonuçları, AB üyeliği üzerinde en etkili faktörlerin sırasıyla iflasın çözülmesi, kredi alma, elektriğe ulaşma ve iş kurma olduğunu ortaya koymaktadır.

Anahtar Kelimeler

• AB Üyeliği
• İş Yapma Kolaylığı
• MANOVA
• Diskriminant Analizi
• EU Membership
• Ease of Doing Business
• Discriminant Analysis

Kaynakça

1. Albayrak, A. S. (2006). Uygulamalı çok değişkenli istatistik teknikleri. Ankara, Turkey: Asil Yayın Dağıtım.
2. Alshammari, M. A., Hammoudeh, M. A., & Pavlovic, M. (2015). Governance, regulations, trade openness and FDI inflows: Empirical study. International Journal of Economics and Finance, 7(12), 44-58.
3. Asongu, S. A., & Odhiambo, N. M. (2019). Challenges of doing business in Africa: A systematic review. Journal of African Business, 20(2), 259-268.
4. Bahhouth, V., & Ziemnowicz, C. (2019). Meeting the global challenges of doing business in the five candidate countries on the road to join the European Union. Journal of the Knowledge Economy, 10(3), 1297-1318.
5. Bajra, U. Q., Halili, Z., & Berisha, N. (2020). Frontier economies and economic growth: Evidence from European and Central Asian Countries. Borsa Istanbul Review, 20(3), 279-291.
6. Besley, T. (2015). Law, regulation, and the business climate: The nature and influence of the World Bank Doing Business project. Journal of Economic Perspectives, 29(3), 99-120.
7. Brown, M. T., & Wicker, L. R. (2000). Discriminant analysis. In Handbook of applied multivariate statistics and mathematical modeling (pp. 209-235). Academic Press.
8. Bryanski, G. (2012). Russia’s Putin orders investment in “new economy”. Reuters. Available on: http://www. reuters. com/article/us-russia-putin-policy-idUSBRE8460PG20120507.

9. Canton, E., & Petrucci, M. (2017). Ease of doing business in the euro area. Quarterly Report on the Euro Area (QREA), 16(2), 21-29.
10. Contractor, F. J., Dangol, R., Nuruzzaman, N., & Raghunath, S. (2020). How do country regulations and business environment impact foreign direct investment (FDI) inflows?. International Business Review, 29(2), 101640.
11. Corcoran, A., & Gillanders, R. (2015). Foreign direct investment and the ease of doing business. Review of world economics, 151(1), 103-126.
12. Davletshin, E., Kotenkova, S., & Vladimir, E. (2015). Quantitative and qualitative analysis of foreign direct investments in developed and developing countries. Procedia Economics and Finance, 32, 256-263.
13. Doshi, R., Kelley, J. G., & Simmons, B. A. (2019). The power of ranking: The ease of doing business indicator and global regulatory behavior. International Organization, 73(3), 611-643.
14. Finch, H. (2005). Comparison of the performance of nonparametric and parametric MANOVA test statistics when assumptions are violated. Methodology, 1(1), 27-38.
15. Gaur, A. D., & Jasmin, P. (2017). Ease of Doing Business in India: Challenges & Road Ahead. In International Conference on Technology and Business Management (pp. 77-84).
16. Głodowska, A. (2017). Business environment and economic growth in the European union countries: what can be explained for the convergence?. Entrepreneurial Business and Economics Review, 5(4), 189-204.
17. Haidar, J. I. (2012). The impact of business regulatory reforms on economic growth. Journal of the Japanese and international economies, 26(3), 285-307.
18. Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7): Pearson Upper Saddle River.
19. Härdle, W. K., & Hlávka, Z. (2015). Multivariate statistics: exercises and solutions. Springer.
20. Hassan, Z., & Basit, A. (2018). Ease of doing business and its impact on inward FDI.  Ease of Doing Business and Its Impact on Inward FDI. Indonesian Journal of Management and Business Economics, 1(1), 52-65.
21. Huberty, C. J., & Petoskey, M. D. (2000). Multivariate analysis of variance and covariance. In Handbook of applied multivariate statistics and mathematical modeling (pp. 183-208). Academic Press.
22. Kalaycı, Ş. (2016). SPSS uygulamalı çok değişkenli istatistik teknikleri (Vol. 7). Ankara, Turkey: Asil Yayın Dağıtım.
23. Kersan-Škabić, I., & Tijanić, L. (2009). The Challenges of Competitiveness in Southeast European Countries. South East European Journal of Economics and Business, 4(2), 23-37.
24. Korkmaz, S., Göksülük, D., & Zararsiz, G. (2014). MVN: An R package for assessing multivariate normality. R Journal, 6(2).
25. Liu, K. B., & Lam, N. S. N. (1985). Paleovegetational reconstruction based on modern and fossil pollen data: an application of discriminant analysis. Annals of the Association of American Geographers, 75(1), 115-130.
26. Morrison, D. G. (1969). On the interpretation of discriminant analysis. Journal of marketing research, 6(2), 156-163.
27. Nnadozie, E., & Njuguna, A. E. (2011). Investment climate and foreign direct investment in Africa. In 6th African Economic Conference (pp. 26-28).
28. Nogueira, M. C., & Madaleno, M. (2021). Are International Indices Good Predictors of Economic Growth? Panel Data and Cluster Analysis for European Union Countries. Sustainability, 13(11), 6003.
29. Nurboja, B., & Košak, M. (2017). Banking efficiency in South East Europe: Evidence for financial crises and the gap between new EU members and candidate countries. Economic Systems, 41(1), 122-138.
30. Pinheiro-Alves, R., & Zambujal-Oliveira, J. (2012). The Ease of Doing Business Index as a tool for investment location decisions. Economics Letters, 117(1), 66-70.
31. Piwonski, K. (2010). Does the ‘Ease of Doing Business’ In a Country Influence its Foreign Direct Investment Inflows?.
32. Radulović, M. (2020). The impact of institutional quality on economic growth: A comparative analysis of the EU and non-EU countries of Southeast Europe. Economic Annals, 65(225), 163-181.
33. Rogge, N., & Archer, G. (2021). Measuring and analyzing country change in establishing ease of doing business using a revised version of World Bank’s ease of doing business index. European Journal of Operational Research, 290(1), 373-385.
34. Sarma, K. V. S., & Vardhan, R. V. (2018). Multivariate statistics made simple: a practical approach. Chapman and Hall/CRC.
35. Scheiner, S. M. (1993). MANOVA: multiple response variables and multispecies interactions. Design and analysis of ecological experiments, 1, 94-112.
36. Serrano-Cinca, C., & Gutiérrez-Nieto, B. (2013). Partial least square discriminant analysis for bankruptcy prediction. Decision support systems, 54(3), 1245-1255.
37. Stanković, J. J., Džunić, M., & Milić, V. J. (2019). Competitiveness and the EU Accession Process: Can Candidate Countries Become Competitive as EU Countries?. Economic Themes, 57(4), 415-432.
38. Stanojević, J., & Veličković, G. (2019). The role of EU accession in economic development from the international trade perspective. Economic Alternatives, 3, 412-428.
39. Sun, X., Hoffman, S. C., & Grady, M. L. (2007). A multivariate causal model of alumni giving: Implications for alumni fundraisers. International Journal of Educational Advancement, 7(4), 307-332.
40. Tabachnick, B. G., Fidell, L. S., & Ullman, J. B. (2007). Using multivariate statistics (Vol. 6). Boston, MA: Pearson.
41. Tohidi, M., Ghasemi-Varnamkhasti, M., Ghafarinia, V., Mohtasebi, S. S., & Bonyadian, M. (2018). Identification of trace amounts of detergent powder in raw milk using a customized low-cost artificial olfactory system: a novel method. Measurement, 124, 120-129.
42. Vučković, M., Bobek, V., Maček, A., Skoko, H., & Horvat, T. (2020). Business environment and foreign direct investments: The case of selected European emerging economies. Economic research-Ekonomska istraživanja, 33(1), 243-266.
43. Warne, R. T. (2014). A primer on multivariate analysis of variance (MANOVA) for behavioral scientists. Practical Assessment, Research & Evaluatioen, 19.
44. Warne, R. T. (2014). A primer on multivariate analysis of variance (MANOVA) for behavioral scientists. Practical Assessment, Research & Evaluation, 19.
45. World Bank. (2020). Doing Business 2020: Comparing Business Regulation in 190 Economies. Washington, DC: World Bank. © World Bank. https://openknowledge.worldbank.org/handle/10986/32436 License: CC BY 3.0 IGO
46. World Justice Project. (2021). Rule of law index. Washington, D.C: World Justice Project.
47. Yilmaz, B., & Ergun, S. J. (2003). The foreign trade pattern and foreign trade specialization of candidates of the European Union (No. 19). Ezoneplus working paper.