پژوهش ها و چشم اندازهای اقتصادی

پژوهش ها و چشم اندازهای اقتصادی

شاخص مالیاتی و کیفیت نهادی در کشورهای نفتی منتخب

نویسندگان
1 دانشجوی دکتری رشته علوم اقتصادی، دانشگاه اصفهان، اصفهان، ایران
2 استاد، گروه اقتصاد، دانشگاه اصفهان، اصفهان، ایران
چکیده
با توجه به اهمیت ارتباط میان عملکرد نظام مالیاتی و کیفیت نهادی، در این مطالعه، با هدف بررسی چگونگی ارتباط میان آزادی اقتصادی به‌عنوان شاخص کیفیت نهادی و نسبت مالیاتی به‌عنوان شاخص عملکرد مالیاتی در قالب دو الگوی جداگانه و مجزا، با ورود زیرشاخص‌های آزادی اقتصادی به مدل درآمد مالیاتی سنتی، به بررسی اثر این متغیرها بر نسبت مالیاتی پرداخته می‌شود. همچنین، در مدلی مجزا، تأثیر نسبت درآمد مالیاتی و رانت نفتی بر شاخص آزادی اقتصادی در 10 کشور نفتی در بازه زمانی 2011 تا 2021 مورد بررسی قرار می‌گیرد. این بررسی با تکیه بر الگوی داده‌های تابلویی صورت گرفته و برآورد مدل‌های پژوهش با استفاده از روش حداقل مربعات تعمیم‌یافته GLS انجام شده است. برآورد مدل درآمد مالیاتی با درنظر گرفتن آزادی اقتصادی نشان داد، اثر درآمد سرانه بر نسبت مالیاتی مثبت و نسبت سهم بخش کشاورزی به صنعت بر این شاخص اثر منفی و معناداری دارد. از میان چهار ستون آزادی اقتصادی، شاخص‌های اندازه دولت و بازار باز دارای تأثیر منفی و دو شاخص حاکمیت قانون و کارایی قوانین و مقررات اثر مثبت بر نسبت مالیاتی دارند، که نشان می‌دهد در کشورهایی با قوانین و مقررات آزادانه‌تر و در عین حال درجه بالاتر التزام به قانون، عملکرد نظام مالیاتی نیز کاراتر است. نتایج حاصل از برآورد مدل دوم، نشان از وجود ارتباط منفی میان رانت نفتی و کیفیت نهادی دارد. این در حالیست که، رابطه میان درآمد سرانه و درآمد مالیاتی با شاخص آزادی اقتصادی، به‌دلیل دسترسی بیشتر و پایدارتر به منابع مالی، مثبت برآورد شده است
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Tax Indicator and Institutional Quality in Selected Oil-Rich Countries

نویسندگان English

Roghayeh Shojaeddin 1
Majid Sameti 2
1 PhD Candidate, Department of Economics, University of Isfahan, Isfahan, Iran
2 Professor, Department of Economics, University of Isfahan, Isfahan, Iran
چکیده English

Considering the importance of the relationship between tax performance and institutional quality, this study incorporates sub-indices of economic freedom into the traditional tax revenue model to examine their effects on the tax ratio. Additionally, a separate model investigates the impact of the tax ratio and oil rents on economic freedom across 10 oil-rich countries between 2011 and 2021. Employing a panel data approach and the Generalized Least Squares (GLS) method, the results reveal that GDP per capita has a positive effect on the tax ratio, while the agriculture-to-industry share in GDP exerts a negative and significant influence. Among the four pillars of economic freedom, “government size” and “open markets” indices negatively affect the tax ratio, whereas “rule of law” and “regulatory efficiency” have positive effects. These findings indicate that in countries with more liberal laws and stronger adherence to them, tax systems function more efficiently. Results from the second model suggest a negative relationship between oil rent and institutional quality. In contrast, GDP per capita and tax revenue exhibit a positive relationship with economic freedom, implying that stable access to financial resources enhances institutional development.

Aim and Introduction

Taxes represent a vital and stable revenue source for governments, playing an undeniable role in financing the public sector. This study employs two separate models to investigate the interaction between institutional quality and tax performance in 10 oil-rich countries from 2011 to 2021. The first model assesses the effect of institutional quality on tax revenue by including four sub-indices of economic freedom—rule of law, government size, open markets, and regulatory efficiency—alongside two economic variables: GDP per capita and the agriculture-to-industry share in GDP.

In the second model, three independent variables—tax ratio, GDP per capita, and oil rent to GDP ratio—are analyzed to determine their effects on the index of economic freedom.

Methodology

The following model is used to examine the relationship between economic freedom and tax revenue:

Model 1:













Ltaxit01Lgdp per capitait2L(agricultureindustry)it3L rule of lawit4L government sizeit5L open marketsit6L regularity efficiencyitit






To assess the relationship between oil rent, tax ratio, and economic freedom as a proxy for institutional quality, the following model is applied:



Model 2:







L economic freedomit01L oil rentit2Ltaxit3Lgdp per capitait+uit






where L stands for logarithm, u and ε indicate the error terms, i indexes the cross-sectional units, and t denotes time.



To avoid spurious regression, all variables were tested for stationarity. Cross-sectional dependence was assessed using Pesaran’s (2015) test, which confirmed dependence among units. Given this, the Pesaran (2003) unit root test was deemed appropriate. The test revealed that some variables are non-stationary at the level, suggesting potential spurious relationships. Therefore, the Kao test was employed to verify the existence of long-term relationships among the variables, which the results confirmed. Estimation and interpretation of the models followed accordingly.

Results and Discussion

Model estimation was conducted using EViews 13. The F-Limer test indicated the appropriateness of the panel data method for both models. Based on the Hausman test results, the first model was estimated using fixed effects, while the second model employed random effects. Given the use of GLS estimation, checks for autocorrelation and heteroskedasticity were deemed unnecessary.

Model 1 results indicate that GDP per capita, rule of law, and regularity efficiency have significant positive effects on the tax ratio. Conversely, the agriculture-to-industry share in GDP, government size, and open markets have negative and significant effects.

Model 2 results show that oil rent negatively affects economic freedom, while GDP per capita and tax ratio exert positive effects. These findings imply that increased oil rents in these countries are associated with declining economic freedom. In contrast, greater tax revenues and higher GDP per capita—indicative of broader and more stable financial access—enhance institutional quality through improved government effectiveness and political stability.

Conclusion

The findings demonstrate that GDP per capita (elasticity = 0.8), regulatory efficiency (elasticity = 0.37), and rule of law (elasticity = 0.21) have the strongest positive effects on the tax revenue ratio in the sample countries. Rising per capita income boosts tax revenue by increasing citizens’ ability to pay taxes. Moreover, improvements in regulatory efficiency and adherence to the rule of law contribute to a more effective tax system.

The agriculture-to-industry GDP share, government size, and open markets negatively affect tax revenue. A high share of agriculture signals a lower degree of industrialization and, hence, a smaller taxable surplus. The unexpected negative relationship between tax ratio and market openness may stem from the nature of oil exports in these countries, which are typically managed by state-owned enterprises, reducing the feasibility of high taxation on such exports.

The negative relationship between government size and tax revenue reflects the reliance of oil-rich countries on resource-based revenues rather than tax revenues. A large public sector may also disincentivize private economic activity, leading to reduced tax collection and weaker tax performance.

The second model reveals that all independent variables significantly impact economic freedom. Specifically, oil rent exerts a negative effect, while tax revenue and GDP per capita positively influence institutional quality. Higher financial capacity enhances political and institutional development, improving indices such as government effectiveness and regulatory quality.

Given the influence of tax revenue and oil rents on economic freedom, policy efforts to enhance institutional quality should focus on improving tax systems and managing natural resource revenues more effectively. Alongside traditional fiscal tools like adjusting tax rates and bases, strengthening institutional frameworks, and promoting a stable economic, political, and social environment are essential strategies

کلیدواژه‌ها English

Economic Freedom
Oil Rent
Panel Data
Tax revenue
Acemoglu, D. (2005). Politics and economics in weak and strong states. Journal of monetary Economics, 52(7), 1199-1226.
Akanbi, O. A. (2019). State Institutions and Tax Capacity: An Empirical Investigation of Causality. International Monetary Fund.
Arvin, M. B., Pradhan, R. P., & Nair, M. S. (2021). Are there links between institutional quality, government expenditure, tax revenue and economic growth? Evidence from low-income and lower middle-income countries. Economic analysis and policy, 70, 468-489.
Asongu, S. A. (2014). Law, finance and investment: does legal origin matter in Africa?. The Review of Black Political Economy, 41(2), 145-175.
Bahl, R. W. (1971). A Regression Approach to Tax Effort and Tax Ratio Analysis (Analyse de l'effort et de la pression fiscale par la méthode de régression) (Un estudio del esfuerzo tributario y de la presión fiscal mediante el análisis de regresión). Staff Papers-International Monetary Fund, 570-612.
Baltagi, B. H., & Baltagi, B. H. (2008). Econometric analysis of panel data (Vol. 4, pp. 135-145). Chichester: Wiley.
Bennett, D. L., & Nikolaev, B. (2019). Economic Freedom. Economic freedom of the world, 199.
Bird, R. M., Martinez-Vazquez, J., & Torgler, B. (2006). Societal institutions and tax effort in developing countries. The challenges of tax reform in a global economy, 283.
Bird, R. M., Martinez-Vazquez, J., & Torgler, B. (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.
Bjørnskov, C., & Foss, N. J. (2008). Economic freedom and entrepreneurial activity: Some cross-country evidence. Public Choice, 134, 307-328.
Blanchflower, D. G., & Oswald, A. J. (1998). What makes an entrepreneur?. Journal of labor Economics, 16(1), 26-60.
Brun, J. F., & Diakite, M. (2016). Tax potential and tax effort: An empirical estimation for non-resource tax revenue and VAT’s revenue.
Davoodi, H. R., & Grigorian, D. (2007). Tax potential vs. tax effort: a cross-country analysis of Armenia's stubbornly low tax collection.
Devlin, J., and Lewin, M., (2004). “Managing Oil Booms and Busts in Developing Countries”. Developing Alternatives, 7(2): 31-39.
Drummond, M. P., Daal, M. W., Srivastava, M. N., & Oliveira, M. L. E. (2012). Mobilizing revenue in Sub-Saharan Africa: empirical norms and key determinants.
Easterly, W., & Levine, R. (2003). Tropics, germs, and crops: how endowments influence economic development. Journal of monetary economics, 50(1), 3-39.
Egger, P., & Winner, H. (2004). Economic freedom and taxation: is there a trade-off in the locational competition between countries? Public Choice, 118(3-4), 271-288.
Gwartney, J., & Lawson, R. (2009). Economic Freedom Dataset, published in Economic Freedom of the World: 2009 Annual Report.
Heckelman, J. C. (2000). Economic freedom and economic growth: A short-run causal investigation. Journal of Applied economics, 3(1).
Imani Barandagh, M., Piri, P., & Ghorbani, T. (2016). Analysis of Factors Affecting Tax Quality Based on Analytical Hierarchy Process (AHP). Empirical Research in Accounting, 6(2), 47-63. doi: 10.22051/jera.2016.2292 (In Persian)
Isham, J., Woolcock, M., Pritchett, L., & Busby, G. (2005). The varieties of resource experience: natural resource export structures and the political economy of economic growth. The World Bank Economic Review, 19(2), 141-174.
Izadkhasti, H., Dadgar, Y., & Beygi, P. (2022). Investigating the Simultaneous Impact of Institutional Quality and Tax Evasion on the Performance of the Tax System in Selected Mena Countries. Quarterly Journal of Quantitative Economics, 18(4), 125-158. doi: 10.22055/jqe.2021.31807.2181(In Persian)
Keen, M., & Simone, A. (2004). Tax policy in developing countries: some lessons from the 1990s and some challenges ahead. Helping countries develop: The role of fiscal policy, 10(4), 720-722.
Klapper, L., Laeven, L., & Rajan, R. (2006). Entry regulation as a barrier to entrepreneurship. Journal of financial economics, 82(3), 591-629.
Levie, J., & Autio, E. (2011). Regulatory burden, rule of law, and entry of strategic entrepreneurs: An international panel study. Journal of Management Studies, 48(6), 1392-1419.
Lotz, J. R., & Morss, E. R. (1970). A theory of tax level determinants for developing countries. Economic Development and cultural change, 18(3), 328-341.
McMullen, J. S., Bagby, D. R., & Palich, L. E. (2008). Economic freedom and the motivation to engage in entrepreneurial action. Entrepreneurship Theory and Practice, 32(5), 875-895.
Mehlam, H., Moene, K., and Torvik, R. (2005). “Cursed by Resources or Institutions?”, the World Economy, 808.
Musgrave, R. A. (1987). US fiscal policy, Keynes, and Keynesian economics. Journal of Post Keynesian Economics, 10(2), 171-182.
Naape, B. (2021). The Interplay Between Economic Freedom and Tax Revenue Performance: Panel Evidence from SADC. Journal of Economics, Business, & Accountancy Ventura, 24(2), 195-204.
Panahi, H., Fallahi, F., & Mardomdar, S. (2017). Comparison of the Effect of Good Governance on Tax Revenues in Developing and Developed Countries. Iranian Economic Development Analyses, 5(1), 81-99. doi: 10.22051/edp.2018.16957.1106 (In Persian)
Radaev, V. (2005). Informal institutional arrangements and tax evasion in the Russian economy. Networks, Trust and Social Capital: Theoretical and Empirical Investigations from Europe. Aldershot: Ashgate, 189-203.
Ricciuti, R., Savoia, A., & Sen, K. (2019). How do political institutions affect fiscal capacity? Explaining taxation in developing economies. Journal of Institutional Economics, 15(2), 351-380.
Román, C., Congregado, E., & Millán, J. M. (2013). Start-up incentives: Entrepreneurship policy or active labour market programme? Journal of Business Venturing, 28(1), 151-175.
Ross, M. L. (2001). “Does oil hinder democracy?”. World politics, 53(3), 325-361.
Sala-i-Martin, X., & Subramanian, A. (2003). Addressing the curse of natural resources: an illustration from Nigeria. NBER working paper, 9804.
Sameti, M., & Shahchera, M. (2006). Economic freedom, economic growth and governments tax revenue in (MENA). Iranian Economic Review, 11(17), 67-86.
Schwab, K., & Sala-i-Martín, X. (2016, April). The global competitiveness report 2013–2014: Full data edition. World Economic Forum.
Sen Gupta, A. (2007). Determinants of tax revenue efforts in developing countries.
shahabadi A, Pourjavan A. The Effect of the Natural Resources Abundance on the Governance Preformance in the Selected Oil Exporting and Developed Countries (A Panel GMM Approach). jemr 2014; 5 (16) :1-32. (In Persian)
Tanzi, V. (1987). Quantitative Characteristics of the Tax Systems of Developing Countries," in David Newbery and Nicholas Stern (eds), The Theory of Taxation in Developing Countries, Oxford University Press.
Venkataraman, S. (2019). The distinctive domain of entrepreneurship research. In Seminal ideas for the next twenty-five years of advances (pp. 5-20). Emerald Publishing Limited.
Weinthal, E., & Luong, P. J. (2006). Combating the resource curse: An alternative solution to managing mineral wealth. Perspectives on politics, 4(1), 35-53.
Yousefinejad, M., Majid, A. S. B. A., Othman, J., Halid, N., & Roslani, M. S. A. B. (2022). Taxes and Economic Freedom: Moderating Effect of Government Effectiveness. International Business and Accounting Research Journal, 6(2), 126-136.