Kulüp Yakınsama Analizi Temelinde OECD Ülkelerinin Vergi Gayreti Performansı

Yıl 2024, , 453 - 474, 31.01.2024

Bilgen Taşdoğan

https://doi.org/10.17233/sosyoekonomi.2024.01.20

Öz

Bu çalışma, ülkelerin vergi gayreti performansını kulüp yakınsama analizi temelinde incelemektedir. Çalışmada vergi gayreti, vergi gelirlerinin gayrisafi yurtiçi hasılaya oranı olarak tanımlanmış ve tahmin denklemi OECD ülkeleriyle birbirine yakınsayan alt kulüplerde yer alan ülkeler için analiz edilmiştir. 34 OECD ülkesi için kullanılan tahmin denklemi sonuçlarına göre vergi gayreti ile kayıt dışı ekonomi arasında istatistiksel olarak anlamlı ilişki olmamasına rağmen, Türkiye’nin yer aldığı Kulüp 4 ülkeleri için kayıt dışı ekonomi değişkeninin vergi gayretini etkilediği görülmüştür. Ayrıca, OECD ülkelerinin tümünü dikkate alan vergi gayreti sıralamasında Danimarka ilk Türkiye 24. sırada yer almaktadır. Kulüp 4 ülkeleri için yapılan sıralamada ise İsrail ilk Türkiye ise 4. sırada bulunmaktadır.

Anahtar Kelimeler

Vergi Gayreti, Kulüp Yakınsama Analizi, Kayıt Dışı Ekonomi, Vergi Oranları

Tax Effort Performance of OECD Countries Based on Club Convergence Analysis

Öz

This study examines the tax effort performance of countries based on club convergence analysis. The study defined tax effort as a ratio of tax revenues to gross domestic product, and the estimation equation was analysed to converge countries in OECD and sub-clubs. According to the results of the estimation equation used for 34 OECD countries, although there is no statistically significant relationship between tax effort and the informal economy, it has been seen that the informal economy variable affects the tax effort for Club 4 countries where Türkiye is located. In addition, Denmark ranks first and Türkiye 24th in the tax effort ranking that considers OECD countries. In the ranking made for the club four countries, Israel is in the first place, and Türkiye is in the 4th place.

Anahtar Kelimeler

Tax Effort, Club Convergence Analysis, Informal Economy, Tax Rates

Kaynakça

• Aghion, P. et al. (2016), “Taxation, Corruption, and Growth”, European Economic Review, 86, 24-51.
• Ajaz, T. & E. Ahmad (2010), “The Effects of Corruption and Governance on Tax Revenues”, The Pakistan Development Review, 49(4), 405-417.
• Aksoy, T. et al. (2019), “Revisiting Income Convergence in Turkey: Are There Convergence Clubs?”, Growth and Change, 50(3), 1185-1217.
• Apaydın, Ş. et al. (2021), “The Impact of Globalization on the Ecological Footprint: Do Convergence Clubs Matter?”, Environmental Science and Pollution Research, 28, 53379-53393.
• Apergis, N. & A. Cooray (2014a), “Convergence in Sovereign Dept Ratios Across Heavily Indebted EU Countries: Evidence From Club Convergence”, Applied Economic Letters, 21(11), 786-788.
• Apergis, N. & A. Cooray (2014b), “Tax Revenues Convergence Across ASEAN, Pacific and Oceania Countries: Evidence From Club Convergence”, Journal of Multinational Financial Management, 27, 11-21.
• Apergis, N. & J.E. Payne (2017), “Per Capita Carbon Dioxide Emissions Across U.S. States by Sector and Fossil Fuel Source: Evidence from Club Convergence Tests”, Energy Economics, 63, 365-372.
• Apergis, N. et al. (2013), “Convergence in Public Expenditures Across EU Countries: Evidence From Club Convergence”, Economics and Finance Research, 1, 45-59.
• Attila, G. (2008), “Corruption, Taxation and Economic Growth: Theory and Evidence”, CERDI Working Paper, No: 2008-29, Universite de Clermont, Clermont Ferrand, France.
• Bahl, R.W. (1971), “A Regression Approach to Tax Effort and Tax Ratio Analysis”, IMF Staff Papers, 18(3), 570-612.
• Baltagi, B. & P.X. Wu (1999), “Unequally Spaced Panel Data Regressions with AR(1) Disturbances”, Econometric Theory, 15(6), 814-823.
• Bartkowska, M. & A. Riedl (2012), “Regional Convergence Clubs in Europe: Identification and Conditioning Factors”, Economic Modelling, 29, 22-31.
• Beck, N. & J.N. Katz (1995), “What To Do (and Not To Do) With Time-Series Cross-Section Data”, The American Political Science Review, 89(3), 634-647.
• Besley, T. & T. Persson (2014), “Why Do Developing Countries Tax So Little?”, Journal of Economic Perspectives, 28(4), 99-120.
• Bhargava, A. et al. (1982), “Serial Correlation and the Fixed Effects Model”, Review of Economic Studies, 49(4), 533-549.
• Bird, R.M. et al. (2004), “Societal Institutions and Tax Effort in Developing Countries”, CREMA Working Paper 2004-21, Zurich: Crema Vermögensverwaltung & Research.
• Bird, R.M. et al. (2008), “Tax Effort in Developing Countries and High-Income Countries: The Impact of Corruption, Voice and Accountability”, Economic Analysis and Policy, 38(1), 55-71.
• Breusch, T. & A. Pagan (1980), “The Lagrange Multiplier Test and Its Application to Model Specification in Econometrics”, Review of Economic Studies, 47, 239-253.
• Cavallaro, E. & H. Villani (2021), “Club Convergence in EU Countries: A Sectoral Perspective”, Journal of Economic Integration, 36(1), 125-161.
• Chelliah, R.J. et al. (1975), “Tax Ratio and Tax Effort in Developing Countries”, IMF Staff Paper, 22(1), 187-205.
• Corrado, L. et al. (2005), “Identifying and Interpreting Regional Convergence Clusters Across Europe”, The Economic Journal, 115(502), 133-160.
• Cukierman, A. et al. (1992), “Seigniorage and Political Instability”, American Economic Review, 82(3), 537-555.
• Cyan, M. et al. (2013), “Measuring Tax Eeffort: Does the Estimation Approach Matter and Should Effort be Linked to Expenditure Goals?”, ICEPP Working Paper 39, International Center for Public Policy.
• Çelikay, F. (2017), “Milli Gelirin Vergi Yükü Üzerindeki Etkileri: ARDL Sınır Testi Yaklaşımı ile Türkiye Üzerine Bir İnceleme (1924-2014)”, Sosyoekonomi, 25(32), 169-188.
• Çevik, S. (2018), “The Composition of Government Revenue and Democracy: A Cross-Country Examination”, in: M.M. Erdoğdu et al. (eds), Public Sector Economics & Development (15-32), United Kingdom, IJOPEC Publication.
• Delgado, F.J. & M.J. Presno (2017), “Tax Evolution in the EU: A Convergence Club Approach”, Panoeconomicus, 64(5), 623-643.
• Dioda, L. (2012), Structural Determinants of Tax Revenue in Latin America and the Caribbean 1990-2009, December (ECLAC).
• Dücan, E. (2015), “Gelişmekte Olan Ülkelerin Yakın Komşularıyla Dış Ticaret Hacminin Doğrudan Yabancı Yatırımlar Üzerine Etkisi”, Doktora Tezi, Sakarya Üniversitesi Sosyal Bilimler Enstitüsü.
• Fjeldstat, O. & B. Tungodden (2003), “Fiscal Corruption: A Vice or a Virtue?”, World Development, 31(8), 1459-1467.
• Ghura, M.D. (1998), “Tax Revenue in Sub-Saharan Africa: Effects of Economic Policies and Corruption”, IMF Working Paper (135), Washington, DC: International Monetary Fund.
• Glawe, L. & C. Mendez (2022), “Schooling Ain’t Learning in Europe: A Club Convergence Perspective”, Comparative Economic Studies, 65, 324-361.
• Greene, W.H. (2012), Econometric Analysis, International Edition, Pearson Education Limited, Seventh Edition.
• Gupta, A.S. (2007), “Determinants of Tax Revenue Effort in Developing Countries”, IMF Working Paper WP/07/1184, Washington DC: IMF.
• Günay, H.F. & M.H. Topal (2021), “Does Quality of Governance Affect Tax Effort in Sub-Saharan Africa?”, Journal Emerging Economies and Policy, 6(2), 414-434.
• Karagöl, E.T. et al. (2019), “Club Convergence in Turkey: Evidence From Provincial Income Data”, International Congress of Management, Economy and Policy, İstanbul/Türkiye.
• Kılıçarslan, Z. & M. Dedeoğlu (2020), “OECD Ülkelerinde Ticari Açıklık Yakınsaması: Phillips-Sul Kulüp Yakınsama Analizi”, Turkish Studies-Economics, Finance, Politics, 15(1), 277-288.
• Langford, B. & T. Ohlenburg (2016), “Tax Revenue Potential and Effort: An Empirical Investigation”, IGC Working Paper S-43202-UGA-1, London: International Growth Centre.
• Le, T.M. et al. (2012), “Tax Capacity and Tax Effort: Extended Cross-Country Analysis From 1994 to 2009”, World Bank Policy Research Working Paper 6252, Washington: World Bank.
• Lien, N.P. (2015), “Impact of Institutional Quality on Tax Revenue in Developing Countries”, Asian Journal of Empirical Research, 5(10), 181-195.
• Lotz J.R. & E.R. Morss (1967), “Measuring 'Tax Effort' in Developing Countries”, IMF Staff Papers, XIV, 478-99.
• McNabb, K. et al. (2021), “Tax Effort Revisited: New Estimates From the Government Revenue Dataset”, WIDER Working Paper, No. 2021/170, ISBN 978-92-9267-110-5, The United Nations University World Institute for Development Economics Research (UNU-WIDER), Helsinki.
• Moundigbaye M. et al. (2018), “Which Panel Data Estimator Should I Use?: A Corrigendum and Extension”, Economics: The Open-Access, Open-Assessment E-Journal, 12(1), 1-31.
• OECD (2023a), National Accounts at a Glance, <https://stats.oecd.org/index.aspx?lang=en#>, 14.05.2023.
• OECD (2023b), Global Revenue Statistics Database, <https://stats.oecd.org/index.aspx?lang=en#>, 12.05.20239.
• Pesaran M.H. (2004), “General Diagnostic Tests for Cross-Sectional Dependence in Panels”, Empirical Economics, 60(1), 13-50.
• Pessino, C. & R. Fenochietto (2010), “Determining Countries’ Tax Effort”, Hacienda Pública Española/Revista de Economía Pública, 195(4), 65-87.
• Phillips, P.C.B. & D. Sul (2007), “Transition Modeling and Econometric Convergence Tests”, Econometrica, 75(6), 1771-1855.
• Piancastelli, M. (2001), Measuring Tax Effort of Developed and Developing Countries: Cross Country Panel Data Analysis 1985/95, Institute of Applied Economic Research (IPEA) - Directory of Macroeconomic Policy & Studies (DIMAC), Brazil.
• Quah, D. (1993), “Empirical Cross-Section Dynamics in Economic Growth”, European Economic Review, 37, 426-434.
• Regis, P.J. et al. (2015), “Corporate Tax in Europe: Towards Convergence?”, Economic Letters, 134, 9-12.
• Sanyal, A. et al. (2000), “Corruption, Tax Evasion and the Laffer Curve”, Public Choice, 105, 61-78.
• Shin, K. (1969), “International Differences in Tax Revenue”, Review of Economics and Statistics, 51(2), 213-230.
• Stotsky, J.G. & A. WoldeMariam (1997), “Tax Effort in Sub-Saharan Africa”, IMF Working Paper WP/97/107, Washington, DC: International Monetary Fund.
• Şahin, B.Y. (2021), “Orta Gelir Grubu Ülkelerde Kamu Harcamaları Yakınsaması: Phillips Sul Kulüp Yakınsama Analizi”, içinde: A.N. Özker (ed.), İşletme ve İktisadî Bilimler Araştırma ve Teori (87-97), Bölüm 5.
• Şen H. & A. Kaya (2019), “Alternatif Göstergeler Bazında Türkiye’de Optimal Kamu Kesimi Büyüklüğünün Tahmini”, Bankacılar Dergisi, 109, 49-81.
• Şen, H. & İ. Sağbaş (2016), Vergi Teorisi ve Politikası, 2. Baskı, Ankara: Kalkan Matbaacılık.
• Tait, A. et al. (1979), “International Comparison of Taxation for Selected Developing Countries 1972-76”, IMF Staff Papers, 21(1), 123-156.
• Tanzi, V. (1980), “The Underground Economy in the United States: Annual Estimates, 1930-80”, IMF Staff Papers, 30(2), 283-305.
• Topal, M.H. & M. Sahin (2017), “Governance Quality and Taxation: A Panel Cointegration Evidence for OECD Countries”, in: R. Yilmaz & G. Löschnigg (eds.), Studies on Balkan and Near Eastern Social Sciences (265-279), Peterlang Academic, Frankfurt.
• Ulucak, R. & N. Apergis (2018), “Does Convergence Really Matter for The Environment? An Application Based on Club Convergence and on The Ecological Footprint Concept for The EU Countries”, Environmental Science and Policy, 80, 21-27.
• Ulucak, R. (2017), “Çevre Kalitesi Açısından Yakınsama Hipotezine Yeni Bir Bakış: Ekolojik Ayak İzi ve Kulüp Yakınsamaya Dayalı Ampirik Bir Analiz”, Anadolu Üniversitesi Sosyal Bilimler Dergisi, 18(4), 29-38.
• Ursavaş U. & C. Mendez (2022), “Regional Income Convergence and Conditioning Factors in Turkey: Revisiting the Role of Spatial Dependence and Neighbor Effects”, The Annals of Regional Science, 8/7, 1-27.
• Yazgan, Ş. & R. Ceylan (2021), “Türkiye’de Düzey-2 Bölgeleri Arasında Kişi Başı Gelir Yakınsama Kulüpleri Var mıdır?”, Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 35(4), 1497-1519.