Gurgul, Henryk and Lach, Łukasz and Mestel, Roland (2012): The relationship between budgetary expenditure and economic growth in Poland. Published in: Central European Journal of Operations Research , Vol. 20, (2012): pp. 161-182.
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Abstract
This paper investigates the association between different kinds of budgetary expenditure and economic growth of Poland. The empirical analysis makes use of linear and nonlinear Granger causality tests to evaluate the applicability of Wagner’s Law and that of the contrasting Keynesian theory.We employ aggregate and disaggregate data with the sub-categories of most important budgetary expenditure, including health care and social security, education and science, national defence and public security expenditure and government administration expenditure for the period Q1 2000 to Q3 2008. This causality analysis indicates that total relation between budgetary expenditure and economic growth is consistent with Keynesian theory. The results of our computations have important policy implications. In case of Poland the health care expenditure was found to be as important for economic growth as expenditures on education and science. Furthermore, in order to stimulate economic growth, Polish government should consider reallocating some of national defence, public security and government administration expenditure to health care, social security, education and science expenditure.
Item Type: | MPRA Paper |
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Original Title: | The relationship between budgetary expenditure and economic growth in Poland |
Language: | English |
Keywords: | government expenditure, Linear and nonlinear causality, bootstrap techniques |
Subjects: | C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models ; Multiple Variables > C32 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes ; State Space Models O - Economic Development, Innovation, Technological Change, and Growth > O1 - Economic Development > O10 - General O - Economic Development, Innovation, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O40 - General |
Item ID: | 52304 |
Depositing User: | Dr Łukasz Lach |
Date Deposited: | 18 Dec 2013 17:55 |
Last Modified: | 27 Sep 2019 09:56 |
References: | 1. Agiakoglu C, Newbold P (1992) Empirical Evidence on Dickey- Fuller Type Tests. Journal of Time Series Analysis 13:471-483. 2. Anwar MS, Davies S, Sampath RK (1996) Causality between Government Expenditures and Economic Growth: An Examination Using Cointegration Techniques. Public Finance 51:166-184. 3. Asteriou D, Argiomirgianakis GM (2001) Human capital and economic growth: time series evidence from Greece. Journal of Policy Modeling 23:481-489. 4. Baek E, Brock W (1992) A general test for Granger causality: Bivariate model, Technical Report, Iowa State University and University of Wisconsin, Madison. 5. Benoit E (1978) Growth and defence in developing countries. Economic Development and Cultural Change 26:261-280. 6. Blomqvist AG, Carter RAL (1997) Is health care really a luxury? Journal of Health Economics 16:2007-2029. 7. Brock W (1991) Causality, chaos, explanation and prediction in economics and finance. In: Casti J, Karlqvist A (eds) Beyond Belief: Randomness, Prediction and Explanation in Science, CRC Press, Boca Raton, Fla. 8. Caselli F (1999) Technological revolutions. American Economic Review 89:78-102. 9. Chang T, Fang W, Wen LF, Liu C (2001) Defense expenditure, economic growth and temporal causality: evidence from Taiwan and mainland China, 1952-1995. Applied Economics 33:1289-1299. 10. Chen AS, Lin JW (2004) Cointegration and detectable linear and nonlinear causality: analysis using the London Metal Exchange lead contract. Applied Economics 36:1157-1167. 11. Chen CH (1993) Causality between defence spending and economic growth: the case of mainland China. Journal of Economic Studies 26:37-43. 12. Cheng JC, Taylor LW, Weng W (2006) Exchange rates and prices: revisiting Granger causality tests. Journal of Post Keynesian Economics 29:259–283. 13. Chou PH, Zhou G (2006) Using Bootstrap to Test Portfolio Efficiency. Annals of economics and finance 2:217–249. 14. Ciarreta A, Zarraga A (2007) Electricity consumption and economic growth: evidence from Spain. Working Paper, Dept. of Applied Economics III (Econometrics and Statistics), University of the Basque Country. 15. Davison AC, Hinkley DV (1999) Bootstrap Methods and Their Application, Cambridge University Press, Cambridge. 16. De Meulemeester J-L, Rochat D (1995) A causality analysis of the link between higher education and development. Economics of Education Review 14:351-361. 17. Demirbas S (1999) Cointegration Analysis-Causality Testing and Wagner’s Law: The Case of Turkey, 1950-1990. http://www.econturk.org/safaaabi.pdf. 18. DeRouen KR (1995) Arab-Israeli defence spending and economic growth. Conflict Management and Peace Science 14:25-47. 19. Devlin N, Hansen P (2001) Health care spending and economic output: Granger causality. Applied Economics Letters 8:561-564. 20. Diks CGH, DeGoede J (2001) A general nonparametric bootstrap test for Granger causality. In: Broer HW, Krauskopf W, Vegter G (eds) Global analysis of dynamical systems, Institute of Physics Publishing, Bristol, United Kingdom. 21. Diks CGH, Panchenko V (2005) A note on the Hiemstra-Jones test for Granger non-causality. Studies in Nonlinear Dynamics and Econometrics 9, No. 2, Article 4. 22. Diks CGH, Panchenko V (2006) A new statistic and practical guidelines for nonparametric Granger causality testing. Journal of Economic Dynamics & Control 30:1647-1669. 23. Dolado JJ, Lütkepohl H (1996) Making Wald tests work for cointegrated VAR systems. Econometrics Reviews 15:369–386. 24. Dunne JP, Smith RP, Willenbockel D (2005) Models of military expenditure and growth: a critical review. Defence and Peace Economics 16:449-461. 25. Easterly W, King R, Levine R, Rebelo S (1994) Policy, technology adoption and growth. In: Pasinetti L, Solow R (eds) Economic Growth and the Structure of Long-term Development, St Martins Press, New York. 26. Engle RF, Granger CWJ (1987) Cointegration and Error-Correction: Representation, Estimation, and Testing. Econometrica 55:251-276. 27. Granger CWJ (1969) Investigating causal relations by econometric models and cross–spectral methods. Econometrica 37:424–438. 28. Granger CWJ (1988) Some recent developments in the concept of causality. Journal of Econometrics 39:199-211. 29. Granger CWJ, Huang B, Yang C (2000) A bivariate causality between stock prices and exchange rates: evidence from recent Asian Flu. The Quarterly Review of Economics and Finance 40:337-354. 30. Granger CWJ, Newbold P (1974) Spurious regression in econometrics. Journal of Econometrics 2:111–120. 31. Grobar L, Porter R (1989) Benoit revisited: defence spending and economic growth in less developed countries, Journal of Conflict Resolution 33:318-345. 32. Hacker RS, Hatemi-J A (2006) Tests for causality between integrated variables using asymptotic and bootstrap distributions: theory and application. Applied Economics 38:1489–1500. 33. Hamilton JD (1994) Time Series Analysis. Princeton University Press, Princeton. 34. Hansen P, King A (1996) The determinants of health care expenditure: a cointegration approach. Journal of Health Economics 15:127-137. 35. Hansen P, King A (1998) Health care expenditure and GDP: panel data unit root test results-comment. Journal of Health Economics 17:377-381. 36. Heo U, Eger RJ (2005) The security –prosperity dilemma in the United States. Journal of Conflict Resolution 49:699-708. 37. Hiemstra C, Jones JD (1994) Testing for linear and nonlinear Granger causality in the stock price-volume relation. Journal of Finance 49:1639–1664. 38. Hitris T, Posnett J (1992) The determinants and effects of health expenditure in developed countries. Journal of Health Economics 11:173-181. 39. Horowitz JL (1995) Advances in Economics and Econometrics: Theory and Applications, Chapter 7: Bootstrap methods in econometrics: Theory and numerical performance. Cambridge University Press, Cambridge. 40. In F, Doucouliagos C (1997) Human capital formation and US economic growth: a causality analysis. Applied Economics Letters 4:329-331. 41. Jackson PM, Meryem DF, Sami F (1998) Cointegration, Causality, and Wagner’s Law: A test for Northern Cyprus. http://www.le.ac.uk/economics/research/RePEc/lec/lpserc99-2.pdf. 42. Joerding W (1986) Economic growth and defense spending. Economics 21:35-40. 43. Johansen S (1988) Statistical Analysis of Cointegrating Vectors. Journal of Economic Dynamics and Control 12:231-254. 44. Kalyoncu H, Yucel F (2006) An analytical approach on defense and expenditure and economic growth. The case of Turkey and Greece. Journal of Economic Studies 33:336-343. 45. Khan AH (1990) Wagner’s Law and the Developing Economy: A Time Series Evidence from Pakistan. Indian Economic Journal 38:115-123. 46. Kollias C (1994) The economic effects of defense spending in Greece 1963-90: some preliminary econometric findings. Spoudai 44:114-130. 47. Lai C-N, Huang B-N, Yang C-W (2005) Defense spending and economic growth the Taiwan straits: a threshold regression model. Defence and Peace Economics 16:45-57. 48. Landau D (1996) Is one of the “peace dividends” negative? Military expenditure and economic growth in the wealthy OECD countries. The Quarterly Review of Economic and Finance 36:183-195. 49. Liu LC, Hsu CE, Younis MZ (2008) The association between government expenditure and economic growth: Granger causality test of US data, 1947-2002. Journal of Public Budgeting & Financial Management 20:537-553. 50. Lütkepohl H (1993) Introduction to Multiple Time Series Analysis, 2nd ed., Springer-Verlag, New York. 51. Mantalos P (2000) A Graphical Investigation of the Size and Power of the Granger-Causality Tests in Integrated-Cointegrated VAR Systems. Studies in Nonlinear Dynamics & Econometrics, Vol. 4, Issue 1, Article no. 2. 52. McCoskey SK, Seldon TM (1998) Health care expenditures and GDP: panel data unit root test results. Journal of Political Economy 70:129-157. 53. Nagarajan P, Spears A (1990) An Econometric Test of Wagner's Law for Mexico: A Re-Examination. Public Finance 45:165-168. 54. Narayan PK, Singh B (2007) Modelling the relationship between defense spending and economic growth for the Fiji islands. Defence and Peace Economics 18:391-401. 55. Narayan PK, Smyth R (2006, Higher Education, Real Income and Real Investment in China: Evidence From Granger Causality. Education Economics 14:107-125. 56. Park WK (1996) Wagner's Law vs. Keynesian Paradigm: The Korean Experience. Public Finance 51:71-91. 57. Paulsen J (1984) Order determination of multivariate autoregressive time series with unit roots. Journal of time series analysis 5:115-127. 58. Phillips PCB (1986) Understanding the spurious regression in econometrics. Journal of Econometrics 33:311–340. 59. Phillips PCB, Perron P (1988) Testing for a Unit Root in Time Series Regressions. Biometrika 75:335-346. 60. Pluta JE (1979) Wagner's Law, Public Sector Patterns, and Growth of Public Enterprises in Taiwan. Public Finance Quarterly 7:25-46. 61. Reitschuler G, Loening JL (2005) Modeling the defense-growth nexus. World Development 33:513-526. 62. Roberts J (1999) Sensitivity of elasticity estimates for OECD health care spending analysis of a dynamic heterogenous data field. Health Economics 8:459-472. 63. Saunders P (1985) Public Expenditure and Economic Performance in OECD Countries. Journal of Public Policy 5:1-21. 64. Sinha D (1998) Government Expenditure and Economic Growth in Malaysia. Journal of Economic Development 23:265-283. 65. Skaug HJ, Tjøstheim D (1993) Nonparametric tests of serial independence. In: Subba Rao T (ed) Developments in time series analysis. Chapman and Hall, London. 66. Toda HY, Yamamoto T (1995) Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66:225–250. 67. Wolde-Rufael Y (2006) Electricity consumption and economic growth: a time series experience for 17 African countries. Energy Policy 34:1106-1114. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/52304 |