Kamu Gelir-Harcama Bağlantısı: Asimetrik Nedensellik Testi

Bu çalışmanın amacı Türkiye ekonomisi için kamu gelirleri ile harcamaları arasındaki asimetrik ilişkiyi test etmektir. Çalışma 2006:01-2019:03 dönemini kapsamaktadır. Bu çalışmada değişkenler arasındaki ilişki literatürün aksine asimetrik olarak ele alınmıştır. Değişkenler arasındaki asimetrik nedensellik ilişkisi, Hatemi-J (2012) tarafından geliştirilen Asimetrik Nedensellik Testi ile test edilmiştir. Asimetrik nedensellik yaklaşımı bir seriyi pozitif ve negatif şoklara ayırarak, serideki doğrusal olmayan etkileri yakalamaktadır. Çalışmanın veri seti üçer aylık olmak üzere toplam harcamalar, toplam gelir ve vergi gelirlerini kapsamaktadır. Veri seti Türkiye ekonomisinin 2006:01-2019:03 dönemini içermektedir. Veri kısıtından dolayı veri seti 2006:01 döneminden başlamıştır. Çalışmanın ampirik bulguları, toplam harcamalar ve toplam gelir arasında Mali Senkronizasyon Hipotezinin geçerli olduğunu göstermektedir. Buna karşın, toplam harcamalar ve vergi gelirleri arasında Harcama-Vergi Hipotezi geçerlidir. Çalışmanın bulgularına göre, toplam gelir ve kamu harcamaları arasında Türkiye ekonomisinde simetrik ilişki mevcuttur. Ayrıca, vergi gelirleri ve kamu harcamaları arasında da karşılıklı olmak üzere çift yönlü simetrik bir ilişki vardır. Ek olarak, gelirin negatif şokları ve harcamaların negatif şokları arasında asimetrik ilişkiye rastlanılmıştır.

The Government Revenue–Expenditure Nexus: Asymmetric Causality Test

The purpose of this study is to examine the asymmetric relationship between government revenues and expenditures for Turkish economy. In this study, the data cover the period of 2006Q1-2019Q3. In this study, unliker the literature, the relationship betweenvariables is investigated asymmetrically. The asymmetric causality relationships were tested by using Asymmetric Causality Test developed by Hatemi-J (2012). The asymmetric causality approach divides the series into two as positive shocks and negative shocks and captures nonlinear effects in the series. The data of this study contain quarterly observations of the total expenditures, total revenues and tax revenues based on sub-items over the 2006: Q1-2019: Q3 time period for the Turkish economy. In this study, because of data constraint, the data started in 2006: Q1.The empirical findings of this study indicate that the Fiscal Synchronization Hypothesis is valid for the relationships between total expenditures and totalrevenues.However,whentherelationshipbetweentotal expenditures and tax revenues is evaluated, it is seen that the Spend-and-Tax Hypothesis is valid. According to the findings, there is bidirectional causality between total revenues and government expenditures in Turkish economy, symmetrically. There is a symmetric bidirectional causality between tax revenues and government expenditures. Also, negative cumulative total revenues cause the negative cumulative expenditures, asymmetrically.

___

  • Afonso, A., & Rault, C. (2009). Spend-and-tax: a panel data investigation for the EU. Economics Bulletin, 29, 2542–2548.
  • Athanasenas, A., Katrakilidis, C., & Trachanas, E. (2014). Government spending and revenues in the Greek economy: Evidence from nonlinear cointegration. Empirica, 41, 365-376.
  • Barro, R. J. (1979). On the determination of the public debt. Journal of Political Economy, 87(5), 940-71.
  • Buchanan, J.M., & Wagner, R. E. (1977). Democracy in deficit: the political legacy of lord Keynes. New York.
  • Chang, T., & Chiang, G. (2009). Revisiting the government revenue-expenditure nexus: Evidence from 15 OECD countries based on the panel data approach. Czech Journal of Economics and Finance, 59, 165-172.
  • Chang, T., & Ho, Y.H. (2002). A note on testing tax-and-spend, spend-and-tax or fiscal synchronization: The case of China. Journal of Economic Development, 27, 151-160.
  • Darrat, A. F. (1998). Tax and spend, or spend and tax? An inquiry into the Turkish budgetary process. Southern Economic Journal, 64, 940-956.
  • Dhanasekaran, K. (2001). Government tax revenue, expenditure and causality: The experience of India. Indian Economic Review, 36, 359-379.
  • Dickey, D., & Fuller, W. A. (1979). Distribution of the estimates for autoregressive time series with a unit root. Journal of the American Statistical Association, 74(266a), 427-431.
  • Friedman, M. (1978). The limitations of tax limitation. Policy Review, 5, 7-14.
  • Hatemi-J, A. (2003). A new method to choose optimal lag order in stable and unstable VAR models. Applied Economics Letter 10, 135–137.
  • Hatemi-J, A. (2008). Forecasting properties of a new method to choose optimal lag order in stable and unstable VAR models. Applied Economics Letter, 15, 239–243.
  • Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43, 447–456.
  • Hong, T. J. (2009). Tax-and-spend or spend-and-tax? Empirical evidence from Malaysia. Asian Academy of Management Journal of Accounting and Finance, 5, 107-115.
  • Koren, S., & Stiassny, A. (1998). Tax and spend, or spend and tax? An international study. Journal of Policy Modeling, 20, 163-191.
  • Li, X. (2001). Government revenue, government expenditure, and temporal causality: Evidence from China. Applied Economics, 33, 485-497.
  • Meltzer, A. H., & Richard, S. F. (1981). A rational theory of the size of government. Journal of Political Economy, 89, 914-27.
  • Musgrave, R. (1966). Principles of budget determination. In Public Finance: Selected readings, 15-27.
  • Mutascu, M. (2016). Government revenues and expenditures in the East European economies: a bootstrap panel Granger causality approach. Eastern European Economics, 54, 489-502.
  • Narayan, P. K. (2005). The government revenue and government expenditure nexus: Empirical evidence from nine Asian countries. Journal of Asian Economics, 15, 1203-1216.
  • Paleologou, S. M. (2013). Asymmetries in the revenue–expenditure nexus: A tale of three countries. Economic Modelling, 30, 52–60.
  • Payne, J. E., Mohammadi, H., & Cak, M. (2008). Turkish budget deficit sustainability and the revenue-expenditure nexus. Applied Economics, 40, 823-830.
  • Peacock, A. T., & Wiseman, J. (1979). Approaches to the analysis of government expenditure growth. Public Quarterly, 7, 3-23.
  • Phillips, P. C., & Perron, P. (1988). Testing for a unit root in time series regression. Biometrica, 75(2), 335-346.
  • Saunoris, J. W., & Payne, J. E. (2010). Tax more or spend less? Asymmetries in the UK revenue–expenditure nexus. Journal of Policy Modeling, 32, 478-487.
  • Tiwari, A. K., & Mutascu, M. (2016). The revenues-spending nexus in Romania: A TAR and MTAR approach. Economic Research- Ekonomska istraživanja, 29, 735-745.
  • Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66, 225-250.
  • Obeng, S. (2015). A causality test of the revenue-expenditure nexus in Ghana. MPRA, 63735, 1-19.
  • Yamak R., & Abdioğlu, Z. (2012). Ampirik bağlamda toplam ve alt kalemler bazında kamu harcamaları ve kamu gelirleri arasındaki ilişki: Türkiye örneği. H.Ü. İktisadi ve İdari Bilimler Fakültesi Dergisi, 30, 173-192.
  • Yinusa, O. G., Aworinde, O. B., & Oseni, I. O. (2017). The revenue-expenditure nexus in Nigeria: Asymmetric cointegration approach. South-Eastern Europe Journal of Economics, 15, 47-61.
  • Von Furstenberg, G. M., Green, R. J., & Jeong, J. H. (1986). Tax and spend, or spend and tax?. The Review of Economics and Statistics, 68, 179-188.
  • Zapf, M., & Payne, J. E. (2009). Asymmetric modelling of the revenue-expenditure nexus: evidence from aggregate state and local government in the US. Applied Economics Letters, 16, 871-876.